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Planificación del alta hospitalaria

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Referencias

Referencias de los estudios incluidos en esta revisión

Balaban 2008 {published data only}

Balaban RB, Weissman JS, Samuel PA, Woolhandler S.Redefining and redesigning hospital discharge to enhance patient care: a randomized controlled study. Journal of General Internal Medicine 2008;23(8):1228-33. CENTRAL

Bolas 2004 {published data only}

Bolas H, Brookes K, Scott M, McElnay J.Evaluation of a hospital-based community liaison pharmacy service in Northern Ireland. Pharmacy World & Science 2004;26(2):114-20. CENTRAL

Bonetti 2018 {published data only}

Bonetti AF, Bagatim BQ, Bottacin WE, Mendes AM, Rotta I, Reis RC, et al.Pharmacotherapy problems in cardiology patients 30 days post discharge from a tertiary hospital in Brazil: a randomized controlled trial. Clinics 2019;74:e1091. CENTRAL [DOI: 10.6061/clinics/2019/e1091]
Bonetti AF, Bagatim BQ, Mendes AM, Rotta I, Reis RC, Favero ML, et al.Impact of discharge medication counseling in the cardiology unit of a tertiary hospital in Brazil: a randomized controlled trial. Clinics 2018;73:e325. CENTRAL [DOI: 10.6061/clinics/2018/e325]

Cajanding 2017 {published data only}

Cajanding RJ.Effects of a structured discharge planning program on perceived functional status, cardiac self-efficacy, patient satisfaction, and unexpected hospital revisits among Filipino cardiac patients: a randomized controlled study. Journal of Cardiovascular Nursing 2017;31(1):67-77. CENTRAL [DOI: 10.1097/JCN.0000000000000303 ]

Eggink 2010 {published data only}

Eggink RN, Lenderink AW, Widdershoven JW, Van den Bemt PLM.The effect of a clinical pharmacist discharge service on medication discrepancies in patients with heart failure. Pharmacy World & Science 2010;32(6):759-66. CENTRAL

Evans 1993 {published data only}

Evans RL, Hendricks RD.Evaluating hospital discharge planning: a randomised controlled trial. Medical Care 1993;31(4):358-70. CENTRAL

Farris 2014 {published data only}

Carter BL, Farris, KB, Abramowitz PW, Weetman DB, Kaboli PJ, Dawson JD, et al.The Iowa Continuity of Care Study: background and methods. American Journal of Health-System Pharmacy 2008;65(17):1631-42. CENTRAL
Farley TM, Shelsky C, Powell S, Farris KB, Carter BL.Effect of clinical pharmacist intervention on medication discrepancies following hospital discharge. International Journal of Clinical Pharmacy 2014;36(2):430-7. CENTRAL
Farris KB, Carter BL, Xu J, Dawson JD, Shelsky C, Weetman DB, et al.Effect of a care transition intervention by pharmacists: an RCT. BMC Health Services Research 2014;14:406. CENTRAL
Israel EN, Farley TM, Farris KB, Carter BL.Underutilization of cardiovascular medications: effect of a continuity-of-care program. American Journal of Health-System Pharmacy 2013;70(18):1592-600. CENTRAL

Gillespie 2009 {published data only}

Gillespie U, Alassaad A, Henrohn D, Garmo H, Hammarlund-Udenaes M, Toss H, et al.A comprehensive pharmacist intervention to reduce morbidity in patients 80 years or older: a randomized controlled trial. Archives of Internal Medicine 2009;169(9):849-900. CENTRAL

Goldman 2014 {published and unpublished data}

Goldman.Request of extra data for Support From Hospital to Home for Elders [personal communication]. Email to D Gonçalves-Bradley 10 April 2015. CENTRAL
Goldman LE, Sarkar U, Kessell E, Critchfield J, Schneidermann M, Pierluissi E, et al.Support for hospital to home for elders: a randomized control trial of an in-patient discharge intervention among a diverse elderly population. Journal of General Internal Medicine2013;28(Supplement 1):S189-S190. CENTRAL
Goldman LE, Sarkar U, Kessell E, Guzman D, Schneidermann M, Pierluissi E, et al.Support from hospital to home for elders: a randomized trial. Annals of Internal Medicine 2014;161(7):472-81. CENTRAL
Greysen SR, Hoi-Cheung D, Garcia V, Kessell E, Sarkar U, Goldman L, et al."Missing pieces"--functional, social, and environmental barriers to recovery for vulnerable older adults transitioning from hospital to home. Journal of the American Geriatrics Society 2014;62(8):1556-61. CENTRAL [DOI: 10.1111/jgs.12928]

Harrison 2002 {published data only}

Harrison MB, Browne GB, Roberts J, Tugwell P, Gafni A, Graham I.Quality of life of the effectiveness of two models of hospital-to-home transition. Medical Care 2002;40(4):271-82. CENTRAL

Hendriksen 1990 {published data only}

Hendriksen C, Strømgård E, Sørensen KH.Cooperation concerning admission to and discharge of elderly people from the hospital. 1. The coordinated contributions of home care personnel [Samarbejde om gamle menneskers sygehusindlaeggelse og - udskrivelse. 1. Hjemmesygeplejerskens koordinerende indsats pa sygehuset]. Ugeskrift For Laeger 1989;151(24):1531-4. CENTRAL
Hendriksen C, Stromgard E, Sorensen K.Current cooperation concerning admission to and discharge from geriatric hospitals [Nyt samarbejde om gamle menneskers syehusindlaeggelse og - udskrivelse]. Nordisk Medicin 1990;105(2):58-60. CENTRAL

Jack 2009 {published data only}

Jack BW, Chetty VK, Anthony D, Greenwald JL, Sanchez GM, Johnson AE, et al.A reengineered hospital discharge program to decrease rehospitalization. Annals of Internal Medicine 2009;150(3):178-87. CENTRAL

Kennedy 1987 {published data only}

Kennedy L, Neidlinger S, Scroggins K.Effective comprehensive discharge planning. Gerontologist 1987;27(5):577-80. CENTRAL

Kripalani 2012 {published data only}

Bell SP, Schnipper JL, Goggins K, Bian A, Shintani A, Roumie C L, et al Pharmacist Intervention for Low Literacy in Cardiovascular Disease Study, Group.Effect of pharmacist counseling intervention on health care utilization following hospital discharge: a randomized control trial. Journal of General Internal Medicine 2016;31(5):470-7. CENTRAL [DOI: 10.1007/s11606-016-3596-3]
Bell SP, Schnipper JL, Goggins KM, Bian A, Shintani A, Roumie CL, et al.Effect of a pharmacist counseling intervention on healthcare utilization after hospital discharge: a randomized controlled trial. Journal of General Internal Medicine 2015;30(Supplement 2):S55. CENTRAL
Kripalani S, Roumie CL, Dalal AK, Cawthon C, Businger A, Eden SK, et al, PILL-CVD (Pharmacist Intervention for Low Literacy in Cardiovascular Disease) Study Group.Effect of a pharmacist intervention on clinically important medication errors after hospital discharge: a randomized trial. Annals of Internal Medicine 2012;157(1):1-10. CENTRAL
Schnipper JL, Roumie CL, Cawthon C, Businger A, Dalal AK, Mugalla I, et al, PILL-CVD Study Group.Rationale and design of the Pharmacist Intervention for Low Literacy in Cardiovascular Disease (PILL-CVD) study. Circulation: Cardiovascular Quality and Outcomes 2010;3(2):212-9. CENTRAL

Lainscak 2013 {published and unpublished data}

Farkas J, Kadivec S, Kosnik M, Lainscak M.Effectiveness of discharge-coordinator intervention in patients with chronic obstructive pulmonary disease: study protocol of a randomized controlled clinical trial. Respiratory Medicine 2011;105(Suppl 1):S26-S30. CENTRAL
Lainscak M, Kadivec S, Kosnik M, Benedik B, Bratkovic M, Jakhel T, et al.Discharge coordinator intervention prevents hospitalisations in patients with COPD: a randomized controlled trial. European Respiratory Journal 2012;40(S56):P2895. CENTRAL
Lainscak M, Kadivec S, Kosnik M, Benedik B, Bratkovic M, Jakhel T, et al.Discharge coordinator intervention prevents hospitalizations in patients with COPD: a randomized controlled trial. Journal of the American Medical Directors Association 2013;14(6):450.e1-6. CENTRAL
Lainscak M.Request of extra data for "Discharge Coordinator intervention" [personal communication]. Email sent to D Gonçalves-Bradley 15 April 2015. CENTRAL

Laramee 2003 {published data only}

Laramee AS, Levinsky SK, Sargent J, Ross R, Callas P.Case management in a heterogeneous congestive heart failure population. Archives of Internal Medicine 2003;163:809-17. CENTRAL

Legrain 2011 {published data only}

Bonnet-Zamponi D, D'Arailh L, Konrat C, Delpierre S, Lieberherr D, Lemaire A, et al, Optimzation of Medication in AGEd study group.Drug-related readmissions to medical units of older adults discharged from acute geriatric units: results of the optimization of medication in AGEd multicenter randomized controlled trial. Journal of the American Geriatrics Society 2013;61(1):113-21. CENTRAL
Legrain S, Tubach F, Bonnet-Zamponi D, Lemaire A, Aquino J, Paillaud E, et al.A new multimodal geriatric discharge planning intervention to prevent emergency visits and rehospitalizations of older adults: the optimization of medication in AGEd multicentre randomised controlled trial. Journal of the American Geriatric Society 2011;59(11):2017-28. CENTRAL

Lin 2009 {published data only}

Lin PC, Wang CH, Chen CS, Liao LP, Kao SF, Wu HF.To evaluate the effectiveness of a discharge planning programme for hip fracture patients. Journal of Clinical Nursing 2009;18(11):1632-9. CENTRAL

Lindpaintner 2013 {published data only}

Lindpaintner LS, Gasser JT, Schramm MS, Cina-Tschumi B, Müller B, Beer JH.Discharge intervention pilot improves satisfaction for patients and professionals. European Journal of Internal Medicine 2013;24(8):756-62. CENTRAL

Lisby 2019 {published data only}

Lisby M, Klingenberg M, Ahrensberg JM, Hoeyem PH, Kirkegaard H.Clinical impact of a comprehensive nurse-led discharge intervention on patients being discharged home from an acute medical unit: randomised controlled trial. International Journal of Nursing Studies 2019;100:103411. CENTRAL [DOI: 10.1016/j.ijnurstu.2019.103411]
NCT02295319.The impact of individual-based discharges from acute admission units to home. clinicaltrials.gov/ct2/show/NCT02295319 (accessed 2 June 2015). CENTRAL

Moher 1992 {published data only}

Moher D, Weinberg A, Hanlon R, Runnalls K.Effects of a medical team coordinator on length of hospital stay. Canadian Medical Association Journal   1992;146(4):511-5. CENTRAL

Naji 1999 {published data only}

Naji SA, Howie FL, Cameron IM, Walker SA, Andrew J, Eagles JM.Discharging psychiatric in-patients back to primary care: a pragmatic randomized controlled trial of a novel discharge protocol. Primary Care Psychiatry 1999;5(3):109-15. CENTRAL

Naughton 1994 {published data only}

Naughton B, Moran M, Feinglass J, Falconer J.Reducing hospital costs for the geriatric patient admitted from the emergency department: a randomised trial. Journal of the American Geriatrics Society 1994;42(10):1045-9. CENTRAL

Naylor 1994 {published data only}

Naylor M, Brooten D, Jones R, Lavizzo-Mourey R, Mezey M, Pauly M.Comprehensive discharge planning for the hospitalized elderly. A randomized clinical trial. Annals of Internal Medicine 1994;120(12):999-1006. CENTRAL

Nazareth 2001 {published data only}

Nazareth I, Burton A, Shulman S, Smith P, Haines A, Timberal H.A pharmacy discharge plan for hospitalized elderly patients - a randomized controlled trial. Age and Ageing 2001;30(1):33-40. CENTRAL

Nguyen 2018 {published data only}

Nguyen T, Nguyen PT, Tran HT, Nguyen NV, Nguyen HQ, Ha BN, et al.Pharmacist-led intervention to enhance medication adherence in patients with acute coronary syndrome in Vietnam: a randomized controlled trial. Pharmacoepidemiology and Drug Safety 2017;26:431-2. CENTRAL
Nguyen T, Nguyen TH, Nguyen PT, Tran HT, Nguyen NV, Nguyen HQ, et al.Pharmacist-led intervention to enhance medication adherence in patients with acute coronary syndrome in Vietnam: a randomized controlled trial. Frontiers in Pharmacology 2018;9:656. CENTRAL [DOI: 10.3389/fphar.2018.00656]

Parfrey 1994 {published data only}

Parfrey PS, Gardner E, Vavasour H, Harnett JD, McManamon C, McDonald J, et al.The feasibility and efficacy of early discharge planning initiated by the admitting department in two acute care hospitals. Clinical and Investigative Medicine 1994;17(2):88-96. CENTRAL

Preen 2005 {published data only}

Preen DB, Preen DB, Bailey BES, Wright A, Kendall P, Phillips M, et al.Effects of a multidisciplinary, post discharge continuance of care intervention on quality of life, discharge satisfaction, and hospital length of stay: a randomized controlled trial. International Journal for Quality in Health Care 2005;17(1):43-51. CENTRAL

Rich 1993 {published data only}

Rich MW, Vinson JM, Sperry JC, Shah AS, Spinner LR, Chung M, et al.Prevention of readmission in elderly patients with congestive heart failure: results of a prospective randomised pilot study. Journal of General Internal Medicine 1993;8(11):585-90. CENTRAL

Rich 1995 {published data only}

Rich MW, Beckham V, Wittenberg C, Leven C, Freedland KE, Carney RM.A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. New England Journal of Medicine 1995;333(18):1190-5. CENTRAL

Shaw 2000 {published data only}

Shaw H, Mackie CA, Sharkie I.Evaluation of effect of pharmacy discharge planning on medication problems experienced by discharged acute admission mental health patients. International Journal of Pharmacy Practice 2000;8(2):144-53. CENTRAL

Sulch 2000 {published data only}

Sulch D, Perez I, Melbourn A, Kalra L.Randomized controlled trial of integrated (managed) care pathway for stroke rehabilitation. Stroke 2000;31(8):1929-34. CENTRAL

Weinberger 1996 {published data only}

Weinberger M, Oddone EZ, Henderson WG.Does increased access to primary care reduce hospital admissions? Veterans Affairs Cooperative Study Group on Primary Care and Hospital Readmissions. New England Journal of Medicine 1996;334(22):1441-7. CENTRAL

Referencias de los estudios excluidos de esta revisión

Abadi 2017 {published data only}

Abadi TSH, Ghiyasvandian S, Moghadam MZ, Kazemnejad A.Self-determination theory application in the discharge of patients with transient ischemic attack. Advances in Bioscience & Clinical Medicine 2017;5:31. CENTRAL [DOI: 10.7575/aiac.abcmed.ca1.31]

Applegate 1990 {published data only}

Applegate WB, Miller ST, Graney MJ, Elam JT, Akins DE.A randomized controlled trial of a geriatric assessment unit in a community rehabilitation hospital. New England Journal of Medicine 1990;322(22):1572-8. CENTRAL

Borenstein 2016 {published data only}

Borenstein JE, Aronow HU, Bolton LB, Dimalanta MI, Chan E, Palmer K, et al.Identification and team-based interprofessional management of hospitalized vulnerable older adults. Nursing Outlook 2016;64(2):137-45. CENTRAL

Brooten 1987 {published data only}

Brooten D, Kumar S, Brown LP, Butts P, Finkler SA, Bakewell-Sachs S, et al.A randomized clinical trial of early hospital discharge and home follow-up of very-low-birth-weight infants. NLN Publications 1987;21-2194:95-106. CENTRAL

Brooten 1994 {published data only}

Brooten D, Roncoli M, Finkler S, Arnold L, Cohen A, Mennuti M.A randomized trial of early hospital discharge and home follow-up of women having cesarean birth. Obstetrics and Gynecology 1994;84(5):832-8. CENTRAL

Casiro 1993 {published data only}

Casiro OG, McKenzie ME, McFadyen L, Shapiro C, Seshia MM, MacDonald N, et al.Earlier discharge with community-based intervention for low birth weight infants: a randomized trial. Pediatrics 1993;92(1):128-34. CENTRAL

Chen 2017 {published data only}

Chen L, Chen Y, Chen X, Shen X, Wang Q, Sun C.Longitudinal effectiveness of a patient-centered self-management empowerment intervention during transition care on stroke survivors. Worldviews on Evidence-Based Nursing 2018;15(3):197-205. CENTRAL
Chen L.Effectiveness of a patient-centered self-management empowerment intervention during transition care on stroke survivors. repository.lib.cuhk.edu.hk/en/item/cuhk-1839362?solr_nav%5Bid%5D=98955229c6430ff80b50&solr_nav%5Bpage%5D=0&solr_nav%5Boffset%5D=2 (accessed 30 September 2020). CENTRAL

Choong 2000 {published data only}

Choong PF, Langford AK, Dowsey MM, Santamaria NM.Clinical pathway for fractured neck of femur: a prospective controlled study. Medical Journal of Australia 2000;172(9):423-6. CENTRAL

Clemson 2016 {published data only}

Clemson L, Lannin NA, Wales K, Salkeld G, Rubenstein L, Gitlin L, et al.Occupational therapy predischarge home visits in acute hospital care: a randomized trial. JAGS 2016;64(10):2019-26. CENTRAL [DOI: 10.1111/jgs.14287]

Diplock 2017 {published data only}

Diplock G, Ward J, Stewart S, Scuffham P, Stewart P, Reeve, C, et al.The Alice Springs Hospital Readmission Prevention Project (ASHRAPP): a randomised control trial. BMC Health Services Research 2017;17(1):153. CENTRAL [DOI: 10.1186/s12913-017-2077-7]

Drummond 2012 {published data only}

Drummond A, Whitehead P, Fellows K, Sprigg N, Sampson C, Edwards C.Pre-discharge occupational therapy home visits for patients with a stroke: results of a feasibility randomised controlled trial (RCT). International Journal of Stroke 2012;7:6. CENTRAL
Sprigg N, Drummond AE, Whitehead PJ, Fellows KR, Sampson CJ, Edwards C, et al.Results of the home visit after stroke (HOVIS) feasibility randomised controlled trial (RCT). Cerebrovascular Diseases 2013;35:784. CENTRAL

Englander 2014 {published data only}

Englander H, Michaels L, Chan B, Kansagara D.The care transitions innovation (C-TraIn) for socioeconomically disadvantaged adults: results of a cluster randomized controlled trial. Journal of General Internal Medicine 2014;29(11):460-7. CENTRAL

Germain 1995 {published data only}

Germain M, Knoeffel F, Wieland D, Rubenstein LZ.A geriatric assessment and intervention team for hospital inpatients awaiting transfer to a geriatric unit: a randomized trial. Aging (Milan, Italy) 1995;7(1):55-60. CENTRAL

González‐Guerrero 2014 {published data only}

González-Guerreroa JL, Alonso-Fernándeza T, García-Mayolín N, Gusi N, Ribera-Casado JM.Effectiveness of a follow-up program for elderly heart failure patients after hospital discharge. A randomized controlled trial. European Geriatric Medicine 2014;5(4):252-7. CENTRAL

Haggmark 1997 {published data only}

Häggmark C, Nilsson B.Effects of an intervention programme for improved discharge planning. Nordic Journal of Nursing Research 1997;17(2):4-8. CENTRAL

Hegelund 2019 {published data only}

Hegelund A, Andersen IC, Andersen MN, Bodtger U.The impact of a personalised action plan delivered at discharge to patients with COPD on readmissions: a pilot study. Scandinavian Journal of Caring Sciences2019. CENTRAL [DOI: 10.1111/scs.12798]

Hickey 2000 {published data only}

Hickey ML, Cook FE, Rossi LR, Connor J, Dutkiewicz C, McCabe Hassan S, et al.Effect of case managers with a general medical patient population. Journal of Evaluation in Clinical Practice 2000;6(1):23-9. CENTRAL

IRCT2016072119141N2 {published data only}

IRCT2016072119141N2.The effect of family caregiver-oriented discharge planning program on nutritional status, laboratory nutritional parameters and quality of life in patient suffering from hip fractures. en.irct.ir/trial/17198 (first received 30 September 2016). CENTRAL

Jenkins 1996 {published data only}

Jenkins HM, Blank V, Miller K, Turner J, Stanwick RS.A randomized single-blind evaluation of a discharge teaching book for pediatric patients with burns. Journal of Burn Care & Rehabilitation 1996;17(1):49-61. CENTRAL

JPRN‐UMIN000029404 {published data only}

JPRN-UMIN000029404.A single-center, prospective, non-blinded, randomized, 12-month, parallel-group, superiority study to compare the efficacy of pharmacist intervention versus usual care for older patients hospitalized in the orthopedic ward. upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000033602 (first received 3 October 2017). CENTRAL
Komagamine J, Sugawara K, Kaminaga M, Tatsumi S.Study protocol for a single-centre, prospective, non-blinded, randomised, 12-month, parallel-group superiority study to compare the efficacy of pharmacist intervention versus usual care for elderly patients hospitalised in orthopaedic wards. BMJ Open 2018;8:e021924. CENTRAL [DOI: 10.1136/bmjopen-2018-021924]

Karppi 1995 {published data only}

Karppi P, Tilvis R.Effectiveness of a Finnish geriatric inpatient assessment. Two-year follow up of a randomized clinical trial on community-dwelling patients. Scandinavian Journal of Primary Health Care 1995;13(2):93-8. CENTRAL

Kempen 2020 {published data only}

Kempen T, Bertilsson M, Hadziosmanovic N, Lindner K-J, Melhus H, Nielsen E, et al.Effectiveness of hospital-based comprehensive medication reviews including post-discharge follow-up on older patients' healthcare utilisation (the MedBridge trial): pragmatic cluster randomized crossover trial. Journal of the American College of Clinical Pharmacy 2020;3(8):1583‐2020. CENTRAL

Kleinpell 2004 {published data only}

Kleimpell RM.Randomized trial of an intensive care unit-based early discharge planning intervention for critically ill elderly patients. American Journal of Critical Care 2004;13(4):335-45. CENTRAL

Lang 2017 {published data only}

Lang DS, Lim BK.Nurse-led discharge care protocol: a randomised control trial. Singapore Nursing Journal 2017;44(3):2-6. CENTRAL

Linden 2014 {published data only}

Linden A, Butterworth S.A comprehensive hospital-based intervention to reduce readmissions for chronically ill patients: a randomized controlled trial. American Journal of Managed Care 2014;20(10):783-92. CENTRAL

Lindhardt 2019 {published data only}

Lindhardt T, Loevgreen SM, Bang B, Bigum C, Klausen TW.A targeted assessment and intervention at the time of discharge reduced the risk of readmissions for short-term hospitalized older patients: a randomized controlled study. Clinical Rehabilitation 2019;33(9):1431-44. CENTRAL [DOI: 10.1177/0269215519845032]
NCT01843907.Patient participation in prevention of loss of functions. clinicaltrials.gov/ct2/show/NCT01843907 (first received 1 May 2013). CENTRAL

Lisby 2018 {published data only}

Lisby M, Bonnerup DK, Brock B, Gregersen PA, Jensen J, Larsen ML, et al.Medication review and patient outcomes in an orthopedic department: a randomized controlled study. Journal of Patient Safety 2018;14(2):74-81. CENTRAL

Loffler 2014 {published data only}

Löffler C, Drewelow E, Paschka SD, Frankenstein M, Eger L, Jatsch L, et al.Optimizing polypharmacy among elderly hospital patients with chronic diseases—study protocol of the cluster randomized controlled POLITE-RCT trial. Implementation Science 2014;9:151. CENTRAL

Lopes Oscalices 2019 {published data only}

Lopes Oscalices MI, Okuno MF, Lopes MC, Campanharo CR, Batists RE.Discharge guidance and telephone follow-up in the therapeutic adherence of heart failure: randomized clinical trial. Resvista Latino-Americana de Enfermagem 2019;27:e3159. CENTRAL [DOI: 10.1590/1518-8345.2484.3159]

Luo 2019 {published data only}

Luo X-H, Deng L-C, Zhang Y-F, Huang X-R, Chen D-F.Application of discharge planning in rectal cancer patients with a stoma. World Chinese Journal of Digestology 2019;27(7):435-41. CENTRAL

Martin 1994 {published data only}

Martin F, Oyewole A, Moloney A.A randomized controlled trial of a high support hospital discharge team for elderly people. Age and Ageing 1994;23(3):228-34. CENTRAL

Martin‐Sanchez 2019 {published data only}

Martin-Sanchez FJ, Llopis Garcia G, Llorens P, Jacob J, Herrero P, Gil V, et al.Planning to reduce 30-day adverse events after discharge of frail elderly patients with acute heart failure: design and rationale for the DEED FRAIL-AHF trial. Emergencias 2019;31(1):27-35. CENTRAL
NCT03696875.Discharge planning in emergency department for frail older with AHF. clinicaltrials.gov/ct2/show/NCT03696875 (first received 5 October 2018). CENTRAL

Marusic 2013 {published data only}

Marusic S, Gojo-Tomic N, Erdeljic V, Bacic-Vrca V, Franic M, Kirin M, et al.The effect of pharmacotherapeutic counseling on readmissions and emergency department visits. International Journal of Clinical Pharmacy 2013;35(1):37-44. CENTRAL

McGrory 1994 {published data only}

McGrory A, Assmann S.A study investigating primary nursing, discharge teaching, and patient satisfaction of ambulatory cataract patients. Insight 1994;19(2):8-13, 29. CENTRAL

McInnes 1999 {published data only}

McInnes E, Mira M, Atkin N, Kennedy P, Cullen J.Can GP input into discharge planning result in better outcomes for the frail aged: results from a randomized controlled trial. Family Practice 1999;16(3):289-93. CENTRAL

Naylor 1999 {published data only}

Naylor MD, Brooten D, Campbell R, Jacobsen BS, Mezey MD, Pauly MV, et al.Comprehensive discharge planning and home follow-up of hospitalized elders: a randomized controlled trial. JAMA 1999;281(7):613-20. CENTRAL

Naylor 2004 {published data only}

Naylor MD, Brooten DA, Campbell RL, Maislin G, McCauley KM, Sanford Schwartz J.Transitional care of older adults hospitalized with heart failure: a randomised controlled trial. Journal of the American Geriatrics Society 2004;52(5):675-84. CENTRAL

NCT02112227 {published data only}

NCT02112227.Patient-centered Care Transitions in Heart Failure (PACT-HF). clinicaltrials.gov/ct2/show/NCT02112227 (accessed 2 June 2015). CENTRAL
Van Spall HG, Lee SF, Xie F, Ko DT, Thabane L, Ibrahim Q, et al.Knowledge to action: rationale and design of the Patient-Centered Care Transitions in Heart Failure (PACT-HF) stepped wedge cluster randomized trial. American Heart Journal 2018;199:75-82. CENTRAL [DOI: 10.1016/j.ahj.2017.12.013]
Van Spall HG, Lee SF, Xie F, Oz UE, Perez R, Mitoff PR, et al.Effect of Patient-Centered Transitional Care Services on Clinical Outcomes in Patients Hospitalized for Heart Failure: The PACT-HF randomized clinica trial. JAMA 2019;321(8):753-61. CENTRAL [DOI: 10.1001/jama.2019.0710]

NCT02351648 {published data only}

NCT02351648.A randomised control trial of a transitional care model in Singapore General Hospital. clinicaltrials.gov/ct2/show/NCT02351648 (accessed 2 June 2015). CENTRAL

NCT03258632 {published data only}

NCT03258632.Improving outcomes among medical/surgical inpatients with alcohol use disorders. clinicaltrials.gov/ct2/show/NCT03258632 (first received 23 August 2017). CENTRAL

Nickerson 2005 {published data only}

Nickerson A, McKinnon NJ, Roberst N, Saulnier L.Drug therapy problems, inconsistencies and omissions identified during a medication reconciliation and seamless care service. Healthcare Quarterly 2005;8(Spec No):65-72. CENTRAL

Pourrat 2017 {published data only}

Pourrat X, Roux C, Bouzige B, Garnier V, Develay A, Fraysse M, et al.Impact of drug reconciliation at discharge and communication between hospital and community pharmacists on drug-related problems: a randomized controlled trial. International Journal of Clinical Pharmacy 2017;39(1):212-3. CENTRAL

Puschner 2008 {published data only}

Puschner B, Baumgartner I, Loos S, Völker KA, Ramacher M, Sohla K, et al.Cost-effectiveness of needs-oriented discharge planning in high utilizers of mental health care [Kosteneffektivität bedarfsorientierter Entlassungsplanungbei Menschen mit hoher Inanspruchnahmepsychiatrischer Versorgung]. Psychiatrische Praxis 2012;39:381-7. CENTRAL [DOI: 10.1055/s-0032-1327188]
Puschner B, Steffen S, Gaebel W, Freyberger H, Klein HE, Steinert T, et al.Needs-oriented discharge planning and monitoring for high utilisers of psychiatric services (NODPAM): design and methods. BMC Health Services Research 2008;8:152. CENTRAL [DOI: 10.1186/1472-6963-8-152]
Puschner B, Steffen S, Völker KW, Spitzer C, Gaebel W, Janssen B, et al.Needs-oriented discharge planning for high utilisers of psychiatric services: multicentre randomised controlled trial. Epidemiology and Psychiatric Sciences 2011;20:181-92. CENTRAL [DOI: 10.1017/S2045796011000278]

Ravn‐Nielsen 2018 {published data only}

Ravn-Nielsen LV, Duckert, M-L, Lund ML, Henriksen JP, Nielsen ML, Eriksen CS, et al.The impact of an in-hospital multifaceted clinical pharmacist intervention on the risk of readmission: a randomized clinical trial. Pharmacoepidemiology and Drug Safety 2018;27:377. CENTRAL

Rich 1993b {published data only}

Rich MW, Vinson JM, Sperry JC, Shah AS, Spinner LR, Chung MK, et al.Prevention of readmission in elderly patients with congestive heart failure: results of a prospective, randomized pilot study. Journal of General Internal Medicine 1993;8(11):585-90. CENTRAL

Rich 1995b {published data only}

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Referencias de otras versiones publicadas de esta revisión

Gonçalves‐Bradley 2016

Gonçalves-Bradley DC, Lannin NA, Clemson LM, Cameron ID, Shepperd S.Discharge planning from hospital. Cochrane Database of Systematic Reviews 2016, Issue 1. Art. No: CD000313. [DOI: 10.1002/14651858.CD000313.pub5]

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Characteristics of studies

Characteristics of included studies [ordered by study ID]

Balaban 2008

Study characteristics

Methods

Parallel randomised trial

Study conducted between June 2006 and January 2007

Participants

A culturally and linguistically diverse group of patients who were admitted to hospital as an emergency, and had to have a 'medical home' defined as having an established primary care provider to be discharged to; patients were excluded if previously enrolled in the study, discharged to another institution or residing in long‐term care facility.

Number of patients recruited: T = 47, C = 49

Number with diabetes: T = 12/47, C = 18/49

Number with heart failure: T = 5/47, C = 5/49

Number with COPD: T = 6/47, C = 6/49

Number with depression: T = 23/47, C = 19/49

Number of patients recruited: T = 47, C = 49

Mean age: T = 58 years, C = 54 years

Sex (female): T = 27/47 (57.4%), C = 30/49 (61%)

Non‐English‐speaking: T = 19/47 (40%), C = 9/49 (18.4%)

Interventions

Setting: a safety net 100‐bed community teaching hospital affiliated with Harvard Medical School, USA

Pre‐admission assessment: no

Case finding on admission: enrolled at admission

Inpatient assessment and preparation of a discharge plan based on individual patient needs: a comprehensive Patient Discharge Form was provided to patients in one of 3 languages (English, Spanish and Portuguese). The form sought to identify communication problems that occur during the transition of care, including patients' lack of knowledge about their condition and any gaps in outpatient follow‐up care or follow‐up of test results.

Implementation of the discharge plan: the Discharge Form was electronically transferred to the RN at the patient's primary care facility, a primary care RN contacted the patient and reviewed the Discharge Form and the medication included in the discharge‐transfer plan

Monitoring phase: by primary care RN who telephoned the patient to assess their medical status, review the Patient Discharge Form, assess patient concerns and confirm scheduled follow‐up appointments. Immediate interventions were arranged as needed, and the discharge form and telephone notes were forwarded electronically to the primary care provider who reviewed the form.

Control: discharged according to existing hospital practice, which consisted of receiving discharge instructions handwritten in English. Communication between the discharge physician and primary care physician was done on an as‐needed basis.

Outcomes

Hospital length of stay and readmission rates

Follow‐up at 21 and 31 days

Notes

Funding: grant from the CRICO/Risk Management Foundation

Conflicts of interest: none reported

Ethical approval: Institutional Review Board

24/120 patients were excluded after randomisation.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: Not described

Allocation concealment (selection bias)

Unclear risk

Comment: Not described

Baseline outcome data

Low risk

Comment: not applicable as main outcomes were length of stay and readmission rates

Baseline characteristics similar

Unclear risk

Comment: the groups were similar for the majority of baseline characteristics. Baseline characteristics were collected and reported; groups were similar for age, sex, length of hospital stay and chronic medical conditions, however those allocated to the intervention group were more likely to be non‐English speakers and discharged during the weekend (Table 1; p.1230, 2nd column)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Main outcome measure was readmission rates

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Follow‐up data for > 80%

Study adequately protected against contamination

Unclear risk

Comment: Patients recruited from the same floor were allocated to the groups; intervention was delivered by the same personnel delivering care to those allocated to the comparison group (p.1229, top 1st column); there was no evidence that the intervention discharge form was used for the control group

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Bolas 2004

Study characteristics

Methods

Parallel randomised trial

Not reported when study was conducted

Participants

Patients recruited within 48 hours of an emergency or unplanned admission to the medical admissions unit, aged ≥ 55 years and taking 3 regular drugs or more. Patients were excluded if transferred to another hospital, admitted or transferred to a nursing home, if patient or caregiver was unable to communicate with pharmacist, had mental illness or alcohol‐related admission, or if home visit or follow‐up was declined on admission.

Number of patients recruited: T = 119, C = 124

Mean age: T = 73 years, C = 75 years

Sex (female): T = 41/119 (34%), C = 42/124 (34%)

Living alone: T = 27/119, C = 34/124

Interventions

Setting: Antrim Hospital, a 426‐bed district general hospital in Northern Ireland

Pre‐admission assessment: no

Case finding on admission: not described

Inpatient assessment and preparation of a discharge plan based on individual patient needs: use of a comprehensive medication history service, provision of an intensive clinical pharmacy service including management of patients' own drugs brought to hospital, personalised medicines record and patient counselling to explain changes at discharge.

Implementation of the discharge plan: discharge letter outlining complete drug history on admission and explanation of changes to medication during hospital and variances to discharge prescription. This was faxed to GP and community pharmacist. Personalised medicine card, discharge counselling, labelling of dispensed medications under the same headings for follow‐up

Monitoring: medicines helpline

Control: standard clinical pharmacy service

Outcomes

Patient satisfaction, knowledge of medicines, hoarding of medicines

Readmissions and length of stay data not reported

Notes

Funding: Primary Care Development Fund, Northern Ireland

Conflicts of interest: not reported

Ethical approval: not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Computer‐generated random number

Allocation concealment (selection bias)

Unclear risk

Comment: Allocation concealment was not described

Baseline outcome data

Unclear risk

Comment: Outcome data not reported

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Low risk for readmission data

Incomplete outcome data (attrition bias)
All outcomes

High risk

Comment: Follow‐up of patients: 67% (162/243)

Low response rate in survey of GPs (55% response rate) and community pharmacists (56% response rate)

Study adequately protected against contamination

Unclear risk

Comment: Participants were recruited from the same medical unit or emergency department; unclear how the intervention was delivered

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Bonetti 2018

Study characteristics

Methods

Parallel randomised trial

Study conducted between February and December 2015

Participants

Patients aged >=18 years admitted to a specialised cardiology ward due to stable angina, acute coronary syndrome, congestive heart failure, valvular disease, arrhythmias, or hypertension

Number of patients randomised: 133 (T: 66, C: 67); Analysed: 102 (primary endpoint; I: 51, C: 51)

Mean age: T: 65 years (SD 10), C: 65 years (SD 13)

Sex (female): T = 16/51 (31%), C = 19/53 (36%)

Other relevant characteristics: On average participants had 4 co‐morbidities, took 7.5 medications at discharge and were in hospital for 11 days

Interventions

Setting: Tertiary hospital, Curitiba, Brazil

Pre‐admission assessment: no

Case finding on admission: cardiovascular pharmacy residents assessed patients eligibility according to the eligibility criteria

Inpatient assessment and preparation of a discharge plan based on individual patient needs: two cardiovascular pharmacists provided individual counselling sessions (number not specified) to the patient and their carer, if applicable. The sessions included a medication needs assessment, as well as an educational component covering indications and possible adverse drug events, among other topics.

Implementation of the discharge plan: patients were given a personalised leaflet summarising the information covered by the sessions.

Monitoring phase: patients were contacted by telephone to reinforce the previous counselling session (3 and 15 days post‐discharge)

Control: usual care, provided by pharmacists and other healthcare providers

Outcomes

Main outcomes: emergency department visits (related to heart disease, not related to heart disease), total hospital readmission, hospital readmission (related to heart disease, not related to heart disease), mortality

Other outcomes: drug taking procedures, beliefs about medicine, medication adherence, number of medication problems

Follow‐up at 30 days

Notes

Funding: not reported

Conflicts of interest: no potential conflict of interest was reported.

Ethical approval: “This trial was in accordance with the ethical standards of the institution’s committee.”

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote: “random number list (...) using Microsoft Office Excel 2010” (Methods)

Allocation concealment (selection bias)

Low risk

Quote: “generated by a third person” (Methods)

Baseline outcome data

Low risk

Comments: Groups similar for days of hospitalisation and number of comorbidities. Other main outcomes referred to ED visits, readmission, and mortality (Table 1)

Baseline characteristics similar

Low risk

Comment: Baseline characteristics presented and similar between groups (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Comment: how data for the main outcomes were collected isn't clear (methods)

Incomplete outcome data (attrition bias)
All outcomes

High risk

Comment: Attrition rate high albeit similar between groups (IG: 23%, CG: 21%). Unclear why participants were lost to ambulatory follow‐up (Fig.1)

Study adequately protected against contamination

High risk

Quote: “There were five trained pharmacists in this setting, including one of the residents who provided the intervention.” (Methods)

Selective reporting (reporting bias)

Unclear risk

Comment: We identified two publications, which refer to different outcomes, neither lists all outcomes collected for the study

Other bias

Low risk

Comment: No other apparent risk of bias

Cajanding 2017

Study characteristics

Methods

Parallel randomised trial

Study conducted between August 2013 and August 2014

Participants

Patients aged >18 years, with AMI diagnosed according to established guidelines, admitted to the study hospital for AMI treatment. Patients were excluded if they were admitted for other co‐morbidities, were medically unstable, and were unable to read or write English.

Number of patients recruited: T: 107, C: 92; Analysed: T: 75; C: 68

Age: participants' age ranged between 31 and 74 years; most were aged between 51 and 60 years old.

Sex (female): T = 27/75 (36%), C = 26/68 (38%)

No previous myocardial infarction: T = 59/75 (79%), C = 55/68 (81%)

Interventions

Setting: cardiovascular‐coronary care unit of a comprehensive tertiary referral hospital in Manila, the Philippines

Pre‐admission assessment: no

Case finding on admission: all patients admitted for AMI treatment were invited to participate

Inpatient assessment and preparation of a discharge plan based on individual patient needs: starting on the 2nd day of hospitalisation, each patient had 3 sessions (30 to 45 minutes) in 3 consecutive days with a cardiovascular nurse practitioner. Sessions addressed risk and protective factors of cardiovascular disease, medication compliance and physical activity, among other topics. During the third session an action plan booklet is completed, with goals and action plans, and establishment of a contract between the nurse and the patient. Patients completed measures of perceived functional status, cardiac self‐efficacy and patient satisfaction.

Implementation of the discharge plan: patients were given an action plan booklet, with the goals and action plans previously developed with the nurse.

Monitoring: unclear; authors state that patients were asked to bring the booklet with them for their follow‐up visits, but not clearly described.

Control: traditional care, based on the Philippine Heart Association clinical practice guidelines. Included medical and pharmacological therapy, as well as preventable risk factor modifications strategies for AMI, as prescribed by the patient's primary cardiologist. Participants allocated to the intervention group also received traditional care.

Outcomes

Self‐reported: perceived functional status, self‐efficacy, patient satisfaction

Records review: unexpected hospital visits (including readmissions, emergency department visits, outpatient department visits, and general practitioner visits)

Follow‐up at 30 days

Notes

Funding: no funding to disclose

Conflicts of interest: none reported

Ethical approval: granted by graduate nursing education department and institutional ethics committee

Notes: Authors developed a structured handbook with FAQs to guide programme implementation and enhance fidelity

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote: “computerized random‐number generator” (p.69, top 2nd column)

Allocation concealment (selection bias)

Unclear risk

Comment: not enough information provided to make a judgement.

Baseline outcome data

Low risk

Comment: baseline outcome data presented for functional status, self‐efficacy and patient satisfaction, and balanced between groups (Table 3)

Baseline characteristics similar

Low risk

Comment: baseline characteristics presented and balanced between groups (Table 2)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Quote: “Blinding was strictly observed for the data collection phase in this study. Except for the interventionists, the rest of the investigators were kept blind to the group assignment of the participants. The investigators who obtained the baseline and the outcome measures were not informed of the participant’s group assignments." (p.69, mid 1st column)

Incomplete outcome data (attrition bias)
All outcomes

High risk

Comment: high attrition rate (IG: 30%, CG: 26%), most participants either refused to answer follow‐up questionnaire or were lost to follow‐up

Study adequately protected against contamination

Unclear risk

Quote: “Ward nurses were not informed of any patient’s allocation, and efforts were made to keep the conduct of the intervention private and concealed to the regular care staff.” (p.69, mid 2st column)

Selective reporting (reporting bias)

Low risk

Comment: No evidence of selective reporting

Other bias

Unclear risk

Comment: Not reported

Eggink 2010

Study characteristics

Methods

Parallel randomised trial

Study conducted between May 2007 and July 2008

Participants

Patients aged ≥ 18 years, with heart failure who were prescribed ≥ 5 medicines at discharge; patients were excluded if living in a nursing home or unable to provide informed consent.

Number of patients recruited: T = 41, C = 44

Mean age (SD): T = 74 (12), C = 72 (10)

Sex (female): T = 14/41 (41%), C = 11/44 (25%)

Interventions

Setting: Department of Cardiology in a teaching hospital in Tilburg, the Netherlands

Pre‐admission assessment: no

Case finding on admission: not described

Inpatient assessment and preparation of a discharge plan based on individual patient needs: the clinical pharmacist identified potential prescription errors in the discharge medication, developed a discharge medication list and discussed with the cardiologist.

Implementation of the discharge plan: patients received verbal and written information about side effects and changes in their hospital drug therapy from a clinical pharmacist at discharge. A discharge medication list was faxed to the community pharmacy and given as written information to the patient; this contained information on dose adjustments and discontinued medications.

Monitoring: not described

Control: regular care, verbal and written information about their drug therapy from a nurse at hospital discharge, the prescription was made by the physician and given to the patient to give to the GP

Outcomes

Adherence to medication, prescribing errors (an error in the process of prescribing) and discrepancies (a restart of a discontinued medication, discontinuation of prescribed discharge medication, use of higher or lower dose, more or less frequent use than prescribed and incorrect time of taking medication)

Notes

Funding: no funding was received for this study

Conflicts of interest: none reported

Ethical approval: mMedical ethics committee

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Random number table

Allocation concealment (selection bias)

Unclear risk

Comment: Not described

Baseline outcome data

Low risk

Comment: Baseline outcome data provided for number of medications and patient control over medications at discharge was similar between groups (Table 3)

Baseline characteristics similar

Low risk

Comment: Majority of characteristics similar at baseline (Table 3)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Low risk for count of prescribing errors, unclear risk for adherence

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Loss to follow‐up = 2/89

Study adequately protected against contamination

Low risk

Comment: The clinical pharmacist who delivered the intervention had no contact with participants allocated to the comparison group

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Unclear risk

Comment: Not reported

Evans 1993

Study characteristics

Methods

Parallel randomised trial

Not reported when study was conducted

Participants

Patients aged ≥ 70 years and admitted with a medical condition, neurological condition, or recovering from surgery, were screened for risk factors that would prolong their hospital length of stay

Number of patients recruited: T = 417, C = 418

Mean age: T = 66.6 years, C = 67.9 years

Interventions

Setting: Veterans Affairs Hospital, Seattle, USA

Pre‐admission assessment: no

Case finding on admission: patients screened for risk factors that may prolong length of stay, increase risk of readmission, or discharge to a nursing home

Inpatient assessment and preparation of a discharge plan based on individual patient needs: during discharge planning. information on support systems, living situation, finances and areas of need were obtained from the medical notes; interviews with the patient and family, and consulting with the physician and nurse

Implementation of the discharge plan: discharge planning initiated on day 3 of hospital admission, and these patients were referred to a social worker. Plans were implemented with measurable goals using goal attainment scaling. 

Monitoring: not reported

Control: received discharge planning only if referred by medical staff and usually on the 9th day of hospital admission, or not at all

Outcomes

Hospital length of stay, readmission to hospital, discharge destination, health status

Follow‐up at 3 months

Notes

Funding: Department of Veterans Affairs Health Service Research & Development Program

Conflicts of interest: not reported

Ethical approval: not reported

Also validated an instrument to assess high‐risk patients

Intervention implemented on day 3 of hospital admission

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: Not described

Allocation concealment (selection bias)

Unclear risk

Comment: Not described

Baseline outcome data

Low risk

Comment: Baseline outcome data presented for health status, hospital admissions in the past 3 months and place of living, and similar between groups (Table 2)

Baseline characteristics similar

Low risk

Comment: Baseline data reported and similar between groups (Table 2)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Yes, for objective measures

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Unclear risk

Comment: Not reported

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Farris 2014

Study characteristics

Methods

Parallel randomised trial

Study conducted between March 2008 and October 2012

Participants

Patients aged ≥ 18 years, English‐ or Spanish‐ speaking, admitted with diagnosis of hypertension, hyperlipidaemia, HF, coronary artery disease, MI, stroke, TIA, asthma, COPD or receiving oral anticoagulation, with life expectancy of ≥ 6 months and without cognitive impairment, dementia or severe psychiatric diagnosis

Number of patients recruited: enhanced T = 314, minimum T = 315, C = 316

Mean age (SD): 61.0 (12.2)

Interventions

Setting: Academic health centre, Iowa, USA

Pre‐admission assessment: no

Case finding on admission: electronic medical records screened for eligibility, followed by patient screening

Inpatient assessment and preparation of a discharge plan based on individual patient needs: patients in Minimum and Enhanced Intervention received admission medication reconciliation and pharmacist visits every 2 to 3 days during inpatient stay for education

Implementation of the discharge plan: patients allocated to the Minimum and Enhanced Intervention received counselling and a discharge medication list; counselling was tailored to the individual and focused on goals of therapy, medication administration, barriers to adherence that included cost and patient concerns. PCP and community pharmacist of patients in Enhanced Intervention received a copy of the discharge plan (6 to 24 hours postdischarge) with a medication list and patient‐specific concerns.

Monitoring: patients in the Enhanced Intervention group received a call 3 to 5 days postdischarge

Control: medication reconciliation at admission as per hospital policy, nurse discharge counselling and discharge medication list. The discharge summary was transcribed and received in the mail by the PCP several days or weeks after discharge.

Outcomes

Medication appropriateness, adverse events, preventable adverse events, composite variable of combined hospital readmission, emergency department visit or unscheduled office visit. Follow‐up at 30 and 90 d postdischarge

Notes

Funding: National Heart, Lung, and Blood Institute

Conflicts of interest: 2/10 authors, including the lead author reported consultancy work with public higher education institutions; the lead author reported honoraria and travel expenses from a pharmaceutical company for presentation and article about pharmacists in care transitions.

Ethical approval: Institutional Review Board

Notes: Fidelity assessment conducted to assess which intervention components were delivered

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Statistician‐generated blinded randomisation scheme, sequentially numbered envelopes

Allocation concealment (selection bias)

Low risk

Comment: Unit of allocation by patient, with sealed opaque envelope

Baseline outcome data

Low risk

Comment: Baseline outcome data reported for average number of prescriptions, self‐reported medication adherence and medication management; control group less likely to forget medication but not related with main outcome (Table 1)

Baseline characteristics similar

Low risk

Comment: Baseline characteristics reported, similar between groups (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Comment: Pharmacists unaware of patients allocation to Minimum Intervention or Enhanced Intervention until discharge; status of RAs who assessed baseline and follow‐up unclear

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: 9 patients lost to follow‐up (3 per group: Enhanced Intervention = 311/314; Minimum Intervention = 312/315; Control = 313/316)

Study adequately protected against contamination

Low risk

Comment: Intervention was delivered by the pharmacy case managers, who did not have contact with participants allocated to the comparison group.

Selective reporting (reporting bias)

Unclear risk

Comment: Some of the secondary outcomes were analysed in aggregate; however, they were also reported separately and it was possible to extract sufficient information

Other bias

Low risk

Comment: Not reported

Gillespie 2009

Study characteristics

Methods

Parallel randomised trial

Study conducted between September 2005 and June 2007

Participants

Patients aged ≥ 80 years, admitted to 2 internal medicine wards; excluded if admitted previously to the study wards during the study period or had scheduled admissions

Number of patients recruited: T = 182, C = 186

Mean age (SD): T = 86.6 (4.2), C = 87.1 (14.1)

Sex (female): T = 105 (57.7%), C = 111 (59.7%)

Interventions

Setting: teaching hospital, Uppsala, Sweden

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: study pharmacists compiled a comprehensive list of current medications, after which they reviewed the drugs. Advice on drug selection, dosages, and monitoring needs was given to the patient's physician, who was responsible for the final decision. Patients were educated and monitored throughout the admission process

Implementation of discharge plan: PCP contacted and given discharge medications, which included rationale for changes and monitoring needs for newly commenced drugs. All information was approved by ward physicians

Monitoring: follow‐up telephone call to patients 2 months after discharge

Control: standard care without pharmacists' involvement in the healthcare team at the ward level

Outcomes

Frequency of hospital visits 12 months after (last included patient) discharge from hospital; number of readmissions, ED visits, and costs

Notes

Funding: Uppsala County Council, University Hospital of Uppsala, Uppsala University, Apoteket AB, and Swedish Society of Pharmaceutical
Sciences

Conflicts of interest: none reported

Ethical approval: regional ethics committee

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Randomisation was performed in blocks of 20 (each block contained 10 intervention and 10 control allocations)

Allocation concealment (selection bias)

Low risk

Comment: Block randomisation with a closed‐envelope technique. The randomisation process was performed by the clinical trials group at the Hospital Pharmacy.

Baseline outcome data

Low risk

Comment: Outcome events occured after the intervention and discharge from hospital

Baseline characteristics similar

Low risk

Comment: Baseline characteristics reported and similar between groups (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Objective measures of outcome using routine data.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: T: 13 died before discharge and 4 withdrew; C: 14 died and 1 withdrew (< 8%)

Study adequately protected against contamination

Low risk

Comment: The intervention was delivered by clinical pharmacists who did not have contact with participants allocated to the comparison group

Selective reporting (reporting bias)

Low risk

Comment: Main outcome is the same as reported for the trial registry (https://clinicaltrials.gov/show/NCT00661310)

Other bias

Low risk

Comment: Not reported.

Goldman 2014

Study characteristics

Methods

Parallel randomised trial

Study conducted between July 2010 and February 2013

Participants

Patients aged ≥ 60 years (later lowered to 55 to improve recruitment), admitted unexpectedly to the internal or family medicine, cardiology, or neurology departments; English‐, Spanish‐ or Mandarin‐speaking, likely to be discharged home and able to consent

Number of patients recruited: T = 347, C = 352

Mean age (SD): T = 66.5 years (9.0), C = 66.0 years (9.0)

Sex (female): T = 159/347 (46%), C = 145/352 (41%)

Interventions

Setting: safety‐net hospital, San Francisco, USA

Pre‐admission assessment: no

Case finding on admission: electronic medical records screened for eligibility, followed by meeting with attending physician

Inpatient assessment and preparation of a discharge plan based on individual patient needs: RN provided disease‐specific patient education either in the patient's preferred language or via a trained interpreter; motivational interviewing and coaching for engagement; written materials provided

Implementation of discharge plan: from admission to discharge, with outreach visit by RN within 24 h of discharge; PCP contacted and given inpatient physicians' contact.

Monitoring: NP called patients 1 to 3 and 6 to 10 days after discharge to assess adherence to medication, provide further education if required, help solve barriers to attending follow‐up appointments, among others

Control: bedside RN's review of the discharge instructions, received by all patients. If requested by the medical team, the hospital pharmacy provided a 10 ‐day medication supply and a social worker assisted with discharge. The admitting team was responsible for liaising with the patients' PCP

Outcomes

ED visits or readmissions (30, 90 and 180 days), non‐ED ambulatory care visits, mortality (180 days)

Notes

Funding: Gordon and Betty Moore Foundation, USA

Conflicts of interest: 1/10 authors reported receiving lecture fees from a federal quality improvement programme

Ethical approval: not reported

Notes: fidelity assessment conducted to measure which intervention components were delivered.

Age criterion was changed halfway from ≥ 60 to ≥ 55 years to increase the number of eligible participants.

Authors provided supplementary data (readmissions and ED visits were presented as an aggregated outcome, access provided to separate outcomes)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Statistician‐generated randomised tables of treatment assignment in blocks of 50 for each language

Allocation concealment (selection bias)

Low risk

Comment: Pairs of envelopes containing the treatment assignment and labelled with the study identification number

Baseline outcome data

Low risk

Comment: Emergency department visits and hospitalisations for 6 months prior to baseline reported and similar between groups (Table 1)

Baseline characteristics similar

Low risk

Comment: Baseline data reported (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Blinded outcome assessment and objective primary outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Follow‐up at 180 d = 90%. All drop‐outs accounted for

Study adequately protected against contamination

Unclear risk

Comment: Participants allocated to intervention and comparison groups within the same wards; unclear whether the same study research nurse delivers intervention and comparison groups (p.473)

Selective reporting (reporting bias)

Low risk

Comment: Trial registration provides same primary outcomes as reported here

Other bias

Low risk

Comment: Not reported.

Harrison 2002

Study characteristics

Methods

Parallel randomised trial

Study conducted between June 1996 and January 1998

Participants

Patients admitted with CHF, who lived within the regional home care radius (60 km), were expected to be discharged to home nursing care and were not cognitively impaired

Number of patients recruited: T = 92, C = 100

Mean age (SD): T = 75.5 years (10.4), C = 75.7 years (9.7)

Sex (female): T = 43/92 (47%), C = 44/100 (44%)

Interventions

Setting: large urban teaching hospital, Ottawa, Canada

Pre‐admission assessment: no

Case finding on admission: patients' notes were flagged as a signal to the primary nurse to follow a checklist for Transitional Care

Inpatient assessment and preparation of a discharge plan based on individual patient needs: comprehensive discharge planning, which included hospital and community nurses working together to smooth transition from hospital to home (Transitional Care intervention); a structured evidence based protocol was used for counselling and education for heart failure self‐management (Partners in Care for Congestive Heart Failure). The protocol followed AHCPR guidelines. Home nursing visits ‐ the same number as the control group.

Implementation of discharge plan: from admission to discharge, with telephone outreach within 24 hours of discharge

Monitoring: not reported

Control: received usual care for hospital‐to‐home transfer, which involved completion of a medical history, nursing assessment form and a multidisciplinary plan. Discharge planning meetings took place weekly. A regional home care coordinator consulted with the hospital team as required. Patients received the same number of home nurse visits as the intervention group.

Outcomes

Health‐related quality of life, symptom distress and functioning. Emergency room visits and readmissions at 12 weeks.

Notes

Funding: Health Canada, National Health Research and Development Program, Canada

Conflicts of interest: not reported

Ethical approval: Institutional Ethics Review Board

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Computer‐generated schedule of random numbers

Allocation concealment (selection bias)

Low risk

Comment: Random allocation by a research co‐ordinator

Baseline outcome data

Low risk

Comment: Baseline outcome data reported and similar for most outcomes between groups (Table 3), slightly higher admission rate to hospital in the previous six months

Baseline characteristics similar

Low risk

Comment: Baseline data reported and similar between groups (Table 2)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Low risk for objective measure of readmission

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: 157/200 (81%) completed the study

Study adequately protected against contamination

Low risk

Comment: The control group did not have access to the intervention

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Hendriksen 1990

Study characteristics

Methods

Parallel randomised trial

Study dates: not known

Participants

Patients aged ≥ 65 years admitted to 4 wards, including surgical

Number of patients recruited: T = 135, C = 138

Mean age: T = 76.5 years, C = 76.6 years

Interventions

Setting: hospital in suburb of Copenhagen, Denmark

Pre‐admission assessment: no

Case finding on admission: not reported; intervention implemented at the time of admission.

Inpatient assessment and preparation of a discharge plan based on individual patient needs: patients had daily contact with the project nurse who discussed their illness with them and discharge arrangements

Implementation of the discharge plan: there was liaison between hospital and primary care staff. Project nurse visited patients at home after discharge and could make one repeat visit.

Monitoring: not reported

Control: described as usual care

Outcomes

Hospital length of stay, readmission to hospital, discharge destination

Notes

Funding: not known

Conflicts of interest: not known

Ethical approval: not known

Notes: this study was translated from Danish for the first version of this review, in 1997.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: Not described

Allocation concealment (selection bias)

Unclear risk

Comment: Not described

Baseline outcome data

Low risk

Comment: Baseline outcome data reported

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Yes, for objective outcome measures

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Comment: Not reported

Study adequately protected against contamination

Unclear risk

Comment: Not reported

Selective reporting (reporting bias)

Unclear risk

Comment: Not reported

Other bias

Unclear risk

Comment: Not reported

Jack 2009

Study characteristics

Methods

Parallel randomised trial

Study conducted between January 2006 and October 2007

Participants

Patients who were emergency admissions to the medical teaching service and who were going to be discharged home. Participants had to have a telephone, comprehend the study details and consent process in English and have plans to be discharged to a USA community.

Number of participants recruited: T = 373, C = 376

Mean age (SD): T: 50.1 (15.1), C: 49.6 (15.3)

Sex (female): T = 178/373 (48%), C = 200/376 ( 53%)

Interventions

Setting: large urban safety net hospital with an ethnically diverse patient population; Boston Medical Centre, Massachusetts, USA

Pre‐admission assessment: no

Case finding on admission: the nurse discharge advocate (DA) completed the (re‐engineered discharge) RED intervention components

Inpatient assessment and preparation of a discharge plan based on individual patient needs: with information collected from the hospital team and the participant, the DA created the after‐hospital care plan (AHCP), which contained medical provider contact information, dates for appointments and tests, an appointment calendar, a colour‐coded medication schedule, a list of tests with pending results at discharge, an illustrated description of the discharge diagnosis, and information about what to do if a problem arises. Information for the AHCP was manually entered into a Microsoft Word template, printed, and spiral‐bound to produce an individualised, colour booklet

Implementation of the discharge plan: the DA used scripts from the training manual to review the contents of the AHCP with the participant. On the day of discharge the AHCP and discharge summary were faxed to the primary care provider (PCP).

Monitoring phase: clinical pharmacist telephoned the participants 2 to 4 days after the index discharge to reinforce the discharge plan by using a scripted interview. The pharmacist had access to the AHCP and hospital discharge summary and, over several days, made at least 3 attempts to reach each participant. The pharmacist asked participants to bring their medications to the telephone to review them and address medication‐related problems; the pharmacist communicated these issues to the PCP or DA

Additional information on the intervention available at www.bu.edu/fammed/projectred/index.html

Control: usual care

Outcomes

Readmission, patient satisfaction and cost at 30 days

Notes

Funding: Agency for Healthcare Research and Quality and the National Heart, Lung, and Blood Institute, National Institutes of Health, USA

Conflicts of interest: first author reported receiving grants from governmental organisations

Ethical approval: Institutional review board

Notes:rReadmission data obtained from the authors

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Index cards in opaque envelopes randomly arranged

Allocation concealment (selection bias)

Low risk

Comment: The authors state that the research assistants could not selectively choose potential participants for enrolment or predict assignment (p.3)

Baseline outcome data

Low risk

Comment: Baseline outcome data collected at recruitment for previous hospital admissions (Table 2)

Baseline characteristics similar

Low risk

Comment: Baseline characteristics collected at recruitment (Table 2)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Research staff doing follow‐up telephone calls and reviewing hospital records were blinded to study group assignment

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Follow‐up at 30 d > 80%. Similar proportion in both groups

Study adequately protected against contamination

Low risk

Comment: Participants recruited from the same centre and allocated to intervention and comparison groups; study personnel delivered the intervention, the control group did not have access to the intervention

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Kennedy 1987

Study characteristics

Methods

Parallel randomised trial

Study conducted between September and October 1984

Participants

Elderly acute care medical patients

Number of patients recruited: T = 39, C = 41

Mean age: T = 80.1 years, C = 80.5 years

Sex (female): T = 19/39 (49%), C = 23/41 (56%)

Interventions

Setting: 500‐bed, non‐profit acute care teaching hospital, Texas, USA

Pre‐admission assessment: no

Case finding on admission: not reported

Inpatient assessment and preparation of a discharge plan based on individual patient needs: discharge planning emphasised communication with the patient and family. A primary nurse assessed patients' postdischarge needs. A comprehensive discharge planning protocol was developed, which included an assessment of health status, orientation level, knowledge and perception of health status, pattern of resource use, functional status, skill level, motivation, and demographic data.

Implementation of the discharge plan: by the primary nurse and other members of the healthcare team. A follow‐up visit was made to assess discharge placement.

Monitoring: not reported

Control: care not described

Outcomes

Hospital length of stay, re‐admission to hospital, discharge destination, health status (8 weeks post‐discharge)

Notes

Funding: Scott and White Memorial Hospital

Conflicts of interest: not reported

Ethical approval: not reported

Notes: not clear when intervention implemented

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Random number schedule described

Allocation concealment (selection bias)

Low risk

Comment: Allocation provided by the statistics department

Baseline outcome data

Low risk

Comment: Main outcome is length of stay

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: For objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Low risk

Comment: No evidence of contamination

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Kripalani 2012

Study characteristics

Methods

Parallel randomised trial

Study conducted between May 2008 and September 2009

Participants

Patients hospitalised for acute coronary syndrome or acute decompensated HF, English‐ or Spanish‐speaking, expected to stay in hospital for more than 3 hours, likely to be discharged home, without dementia, active psychosis, bipolar disorder or delirium, without hearing or vision impairment

Number recruited: T = 423, C = 428

Mean age (SD): T = 61 years (14.4), C = 59 years (13.8)
Sex (female): T = 173/423 (41%), C = 179/428 (42%)
 

Interventions

Setting: tertiary care academic hospitals, Nashville and Boston, USA

Pre‐admission assessment: no

Case finding on admission: not reported

Inpatient assessment and preparation of a discharge plan based on individual patient needs: at the first meeting, the pharmacist assessed the patient's understanding and needs, communicating with the treating physician if medication discrepancies were identified

Implementation of the discharge plan: second meeting occurred before discharge and patient was given tailored counselling and low‐literacy adherence aids; if discharge occurred same day as enrolment, then single session was conducted for assessment and implementation of discharge plan.

Monitoring: call 1 to 4 days after discharge by unblinded research assistant; if outstanding needs identified, pharmacist would perform follow‐up call, liaising with in‐ and outpatient physician if necessary

Control: physicians and nurses performed medication reconciliation and provided discharge counselling; medication reconciliation was facilitated by electronic records. At one of the sites there were additional features (reminders to complete a preadmission medication list and integration with order entry)

Outcomes

Number of clinically important medication errors at 30 days (composite measure of preventable or ameliorable ADEs and potential ADEs due to medication discrepancies or non‐adherence); preventable or ameliorable ADEs; potential ADEs due to medication discrepancies or non‐adherence; preventable or ameliorable ADEs judged to be serious, life‐threatening, or fatal.
 

Notes

Funding: National Heart, Lung, and Blood Institute

Conflicts of interest:  quote: "Dr. Kripalani [lead author] is a consultant to and holds equity in Bioscape Digital/PictureRx, which makes materials for patient engagement and education. The company’s products and services were not used in this study. all other authors declare no potential conflicts of interest"

Ethical approval: University Institutional Review Board and the Partners Human Research Committee

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Randomisation was stratified by study site and diagnosis, in permuted blocks of 2‐6 patients, using a computer programme

Allocation concealment (selection bias)

Low risk

Comment: One unblinded research coordinator at each site administered the randomisation using a computer programme that maintained allocation concealment, contacted study pharmacists who then delivered the intervention to eligible patients, and participated in the individualised telephone follow‐up

Baseline outcome data

Low risk

Comment: Baseline outcome data provided for median pre‐admission medications and comorbid conditions, and similar between groups (Table 1)

Baseline characteristics similar

Low risk

Comment: Participants allocated to the intervention group were slightly older, groups similar other than that (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Main outcome determined by 2 independent clinicians following standardised validated methodology, blinded to group allocation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Follow‐up at 30 d for > 80%; similar % of drop‐outs in both groups

Study adequately protected against contamination

Low risk

Comment: The intervention was delivered by the study pharmacists, who did not have contact with participants allocated to the comparison group.

Selective reporting (reporting bias)

Low risk

Comment: Slight discrepancies between protocol and publication, for secondary outcomes and 1 minor inclusion criterion

Other bias

Unclear risk

Comment: Not reported

Lainscak 2013

Study characteristics

Methods

Parallel randomised trial

Study conducted between November 2009 and December 2011

Participants

Patients admitted with COPD exacerbation with reduced pulmonary function, aged ≥ 35 years, not at terminal stages of disease

Number recruited: T = 118, C = 135

Mean age (SD): T = 71 years (9), C = 71 years (9)
Sex (female): T = 37/118 (31%), C = 34/135 (25%)
Living alone: T = 29 (25%), C = 27 (20%)

Interventions

Setting: specialised pulmonary hospital, Slovenia

Pre‐admission assessment: no

Case finding on admission: not reported

Inpatient assessment and preparation of a discharge plan based on individual patient needs: the discharge co‐ordinator assessed patient and home care needs, involving both the patient and the caregiver.

Implementation of the discharge plan: within 48 hours of admission the discharge co‐ordinator communicated the discharge plan to PCP, community nurses, and other providers of home services, as required by the patient's needs.

Monitoring: phone call at 48 hours postdischarge to assess the adjustment process, followed by phone calls scheduled as required until a final home visit at 7 to 10 days postdischarge

Control: care as usual, which included routine patient education with written and verbal information about COPD, supervised inhaler use, respiratory physiotherapy as indicated, and disease related communication between medical staff with patients and their caregivers.

Outcomes

Number of patients hospitalised due to worsening COPD, time to COPD hospitalisation, all‐cause mortality, all‐cause hospitalisation, days alive and out of hospital, health‐related quality of life (90 days)

Notes

Funding: no financial support was received for the trial

Conflicts of interest: none reported

Ethical approval: National Medical Ethics Committee of the Republic of Slovenia

Notes: steering and endpoint committee closed enrolment at 83% of the planned sample due to re‐hospitalisation of patients already assessed for eligibility and seasonal variation of COPD.

Information about the communication between discharge co‐ordinators and providers of home services, including timing and frequency, was not reported in detail. The authors provided supplementary unpublished data

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Software to generate random numbers/allocation sequence (p.450)

Allocation concealment (selection bias)

Low risk

Comment: Allocation independent of researchers and healthcare providers (p.450)

Baseline outcome data

Low risk

Quote: "The 2 groups of patients were similar with respect to baseline characteristics, disease severity, clinical presentation, comorbidity, and the use of medication at the time of enrolment" (p.450.e3)

Baseline characteristics similar

Low risk

Quote: "The 2 groups of patients were similar with respect to baseline characteristics, disease severity, clinical presentation, comorbidity, and the use of medication at the time of enrolment" (p.450.e3)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Objective measure for primary outcome; two physicians unrelated to the study adjudicated whether the patient was hospitalised because of worsening COPD (p450.e2)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Follow‐up at 180 d for > 80%; similar % of drop‐outs in both groups (p.450.e3)

Study adequately protected against contamination

Unclear risk

Comment: Patients were allocated within a hospital and it is possible that communication between intervention and control professionals could have occurred

Selective reporting (reporting bias)

Low risk

Comment: One of the secondary outcomes not reported (healthcare costs), all other outcomes reported

Other bias

Low risk

Comment: Not reported

Laramee 2003

Study characteristics

Methods

Parallel randomised trial

Study conducted between July 1999 and April 2001

Participants

Patients with confirmed congestive heart failure (CHF), who also had to be at risk for early readmission as defined by the presence of 1 or more of the following criteria: history of CHF, documented knowledge deficits of treatment plan or disease process, potential or ongoing lack of adherence to treatment plan, previous CHF hospital admission, living alone, and ≥ 4 hospitalisations in the past 5 years

Number recruited: T = 141, C = 146

Mean age (SD): T = 70.6 years (11.4), C = 70.8 years (12.2)
Sex (female) T = 59/141 (42%), C = 72/146 (50%)
Support at home: T = 127/141 (90%), C = 140/146 (96%)

Interventions

Setting: 550‐bed academic medical centre, which serves the largely rural geographic areas of Vermont and upstate New York, USA

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: early discharge planning and co‐ordination of care and individualised and comprehensive patient and family education

Implementation of the discharge plan: case manager (CM) assisted in the co‐ordination of care by facilitating the discharge plan and obtaining needed consultations from social services, dietary services and physical/occupational therapy. When indicated, arrangements were made for additional services or support once the patient had returned home. The CM also facilitated communication in the hospital among the patient and family, attending physician, cardiology team, and other medical care practitioners through participating in daily rounds, documenting patient needs in the medical record, submitting progress reports to the PCP, involving the patient and family in developing the plan of care, collaborating with the home health agencies and providing informational and emotional support to the patient and family.

Monitoring: 12 weeks of enhanced telephone follow‐up and surveillance

Control: inpatient treatments included social service evaluation (25% for usual care group), dietary consultation (15% usual care), PT/OT (17% usual care), medication and CHF education by staff nurses and any other hospital services. Postdischarge care was conducted by the patient's own local physician. The home care service figures were 44%.

Outcomes

Readmissions, mortality, hospital bed days, resource use and patient satisfaction. Follow‐up at 3 months.

Notes

Funding: University of Vermont General Clinical Research Center, USA. Novartis Pharmaceuticals.

Conflicts of interest: not reported

Ethical approval: Institutional review board

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: 'after simple randomzation of the first 42 patients resulted in a large amount of patients being assigned to one group or the other, patients were randomized in blocks of 8 to ensure an even group allocation across time' (page 810).

Allocation concealment (selection bias)

Unclear risk

Comment: Not described

Baseline outcome data

Unclear risk

Comment: Some baseline imbalances. Participants allocated to the intervention had more risk factors for readmission, and a higher percentage were assessed as mild on the New York Heart Association classifaction (class ii ‐ mild symptoms and slight limitation during ordinary activity) (Table 1)

Baseline characteristics similar

Unclear risk

Comment: Baseline data reported, a higher percentage of participants in the intervention group were assessed as mild on the New York Heart Failure classification (class ii) (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Objective measure of the primary outcome readmission, and the secondary outcome length of stay

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Loss to follow‐up: 53/287; ≥ 81% retained. T = 122/141; C = 112/146

Study adequately protected against contamination

Unclear risk

Comment: Participants recruited from the same hospital and allocated to intervention and comparison groups; intervention was delivered by study personnel (p.810, 2nd column)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Legrain 2011

Study characteristics

Methods

Randomised trial

Investigators used the double consent of a Zelen randomised consent design after assessing patients for eligibility; informed consent was obtained following randomisation.

Study conducted between April 2007 and October 2008

Participants

Medical patients aged ≥ 70 years; patients were excluded if expected to be discharged in less than 5 days, had poor chance of 3‐month survival or were receiving palliative care

Mean age (SD): T = 85.8 years (6.0); C = 86.4 years (6.3)

Sex (female): T = 221/317 (70%); C = 218/348 (63%)

Number of patients randomised using Zelen design: T = 528; C = 517 (total 1,045) and of these T = 317 and C = 348 participated in the randomised trial

Interventions

Setting: 5 university‐affiliated hospitals and 1 private clinic; Paris, France

Pre‐admission assessment: not possible

Case finding on admission: the intervention focused on 3 risk factors: drug related problems, under‐diagnosis and untreated depression (screened with the 4‐item Geriatric Depression Scale, and if the DSM‐IV criteria were positive) and protein energy malnutrition

Inpatient assessment and preparation of a discharge plan based on individual patient needs: the intervention was implemented after admission to the acute geriatric unit (AGU) and had 3 components, a comprehensive chronic medication review according to geriatric prescribing principles and which involved the patient and their caregiver, education on self‐management of disease and detailed transition of care communication with outpatient health professionals and the GP. These were adapted from disease management programmes for inpatients with multiple chronic conditions.

Implementation of the discharge plan: the intervention was implemented by a dedicated geriatrician in addition to the care provided by the usual geriatrician of the AGU. The dedicated geriatrician provided recommendations to the AGU geriatrician who made final decisions. GPs were contacted regarding changes in treatment.

Monitoring: follow‐up by a geriatrician.

Control: received standard medical care from the AGU healthcare team without involvement of the intervention‐dedicated geriatrician. AGUs are hospital units with their own physical location and structure that are specialised in the care of elderly people with acute medical disorders, including acute exacerbations of chronic diseases. AGUs implement comprehensive geriatric assessment.

Outcomes

Emergency hospitalisation, emergency room visit, mortality, cost

Follow‐up time: 6 months from discharge

Notes

Funding: Ministry of Health, France

Conflicts of interest: none reported

Ethical approval: Institutional review board

Study stopped early due to service demands and lack of funding

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Computer‐generated randomisation scheme in various sized blocks stratified according to centre; Zelen study design

Allocation concealment (selection bias)

Low risk

Comment: A central randomisation service in the trial organisation centre

Baseline outcome data

Low risk

Comment: Outcome data refer to post‐discharge events (readmission, ED visits)

Baseline characteristics similar

Low risk

Comment: Majority of baseline characteristics similar between groups

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Objective measure of the primary outcome of readmission and secondary outcome of costs using hospital days. Data on readmission rates were verified by checking administrative databases.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Outcome data reported for all participants recruited

Study adequately protected against contamination

Low risk

Comment: Participants recruited from five sites and allocated to intervention or comparison group; dedicated geriatricians delivered the intervention

Selective reporting (reporting bias)

Unclear risk

Comment: Not enough information to make a judgement

Other bias

Unclear risk

Comment: Zelen study design (p.2026) 1,045 were randomized, and 665 (63%) were included in the study: 317 in the IG and 348 in the CG (Figure 1)

Lin 2009

Study characteristics

Methods

Parallel randomised trial

Study conducted between November 2005 and December 2006

Participants

Patients hospitalised with a hip fracture, aged ≥ 65 years, who had a Barthel score of at least 70 points prior to their hip fracture.

Number of patients recruited: T = 26; C = 24

Sex (female): 18/50 (36%)

Mean age (SD): 78.8 years (7.0)

Interventions

Setting: 4 orthopaedic wards in a 2800 bed medical centre in Taipei, Taiwan

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: structured assessment of discharge planning needs within 48h of admission; systematic individualised nursing instruction based on the individual's needs.

Implementation of the discharge plan: nurses coordinated resources and arranged referral placements. Two postdischarge home visits were conducted to provide support and consultation

Monitoring: nurses monitored services

Control: non‐structured discharge planning provided by nurses who used their professional judgement.

Outcomes

Hospital length of stay, readmission, functional status, quality of life, patient satisfaction at 2 weeks and 3 months postdischarge

Notes

Funding: National Science Council, Taiwan

Conflicts of interest: not reported

Ethical approval: Institutional Review Board

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: Patients were assigned to 1 of 4 wards: 2 were designated the intervention group and 2 the control. The sequence generation of random assignment was not described.

Allocation concealment (selection bias)

Unclear risk

Comment: Patients were assigned to 1 of 4 wards "by doctors who were not aware of the study process."

Baseline outcome data

Low risk

Comment: Baseline outcome data provided and similar for functional status, quality of life and patient satisfaction (p.1635)

Baseline characteristics similar

Low risk

Comment: Similar characteristics at baseline

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Comment: Blinding of researchers conducted follow‐up assessments is not described.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Data collected on all recruited patients

Study adequately protected against contamination

Low risk

Comment: Intervention and comparison groups were in different wards; intervention was delivered by study personnel (p.1634)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Lindpaintner 2013

Study characteristics

Methods

Pilot parallel randomised trial

Participants recruited between September 2008 and December 2009

Participants

Patients aged ≥ 18 years who had been admitted to an internal medicine ward, taking oral anticoagulation or newly ordered insulin or more than 8 regular medicines or new diagnosis requiring at least 4 long‐term medicines, expected to live > 1 month, German‐speaking, no cognitive impairment; excluded if PCP or local visiting nurse association not involved in the study

Number of patients recruited: T = 30, C = 30

Mean age (SD): T = 75.1 years (9.49), C = 75.2 (12.4)

Sex (female): T = 15/30 (50%), C = 19/30 (63%)

Interventions

Setting: teaching hospital in Baden, Switzerland

Pre‐admission assessment: no

Case finding on admission: all patients admitted to hospital were screened for eligibility

Inpatient assessment and preparation of a discharge plan based on individual patient needs: the nurse care manager assessed patients with a battery of tests

Implementation of the discharge plan: the NCM liaised with the ward team and jointly developed a discharge plan, which included self‐management techniques; the PCP and community nursing team received a copy of the discharge form, as well as a letter at the end of the intervention, and further contacts were done as needed

Monitoring: structured call 24 hours post‐discharge and home visit at the end of the intervention

Control: best usual care (no additional information provided)

Outcomes

Composite endpoint (death, re‐hospitalisation, unplanned urgent medical evaluation within 5 days and 30 days of discharge, and adverse medicine reaction requiring discontinuation of the medicine), satisfaction with discharge process, caregiver burden, health‐related quality of life.

The study authors commented that: "the definitions for two components of the primary composite endpoint failed to discriminate sufficiently between adverse events and desirable medical management. Thus planned rehospitalizations and all medicine changes (such as changing a blood pressure medicine) were counted as adverse events even if they reflected medical management decisions unrelated to patient harm." (p.761, 1st column)

Notes

Funding: MediService AG, Zuchwil, Switzerland

Conflicts of interest: none reported

Ethical approval: Internal Review Board

Notes: pilot study; insufficient data to be included in the pooled analysis, authors contacted but no further data obtained

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Block randomisation (p.757)

Allocation concealment (selection bias)

Unclear risk

Comment: Not reported

Baseline outcome data

Low risk

Comment: primary composite outcome of death, rehospitalisation, unplanned urgent medical evaluation within 5 days of discharge and adverse medicine reaction requiring dicontinuation of the medicine.

Baseline characteristics similar

Low risk

Comment: 3 patients allocated to the intervention group were receiving ongoing chemotherapy. A small study of 30 in each group.

Blinding (performance bias and detection bias)
All outcomes

High risk

Comment: Interview‐based data (patients, nurses, and PCP)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: Drop‐outs accounted for, intention‐to‐treat analysis

Study adequately protected against contamination

High risk

Comment: The same team of physicians and nurses provided inpatient care to both groups (p.759)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Unclear risk

Comment: Not reported

Lisby 2019

Study characteristics

Methods

Parallel randomised trial

Study conducted between November 2014 and December 2015

Participants

Patients aged >=18 years admitted to the AMU with non‐surgical medical conditions, with at least one hospitalisation in the past 12 months, living in the catchment area and eligible for post‐discharge follow‐up. Patients were excluded if they were deaf or blind, unable to provide consent, and being discharged to destinations other than a private home

Number of patients recruited: T = 101, C = 99

Mean age (SD): T = 60.3 years (19.8), C = 61.7 (20.6)

Sex (female): T = 42/101 (42%), C = 45/99 (45%)

Patients had on average one co‐morbidity, with a relatively low Charlson's Comorbidity score

Interventions

Setting: 34‐bed acute medical unit affiliated with the emergency department at Aarhus University Hospital, Denmark

Pre‐admission assessment:

Case finding on admission: the research nurse or project investigator checked the electronic dashboard for potential eligible patients; the dashboard contained real‐time information on the patient's clinical status, diagnostic procedures and expected discharge

Inpatient assessment and preparation of a discharge plan based on individual patient needs: patient's needs were assessed through an algorithm purposely developed for the study, covering ability to manage at home and available help if required, medication, network, other medical needs, and gait, hearing and vision. Any outstanding needs were subsequently addressed by the nurse prior to discharge, including any arrangements for customised aids, if necessary. The nurse also assessed to which extent the patient understood discharge instructions provided by the physician.

Implementation of the discharge plan: The patient was sent a detailed discharge letter adapted to their health literacy level, covering admission, type and results of tests performed and further tests required, treatment while in hospital and further treatment required, and contact information for the research team. The PCP also received a copy of the letter.

Monitoring: follow‐up call 2 days after discharge

Control: triage at admission, measurements of early warning score as prescribed by the physician and an unstructured intake conversation. At discharge the nurse had an unstructured conversation with the patient, who was given an updated medication list, a card with AMU contacts, and if relevant disease‐specific pamphlets. A discharge letter was sent to the PCP, which was sometimes shared with the patient.

Outcomes

Main outcomes: proportion of all‐cause 30‐ day readmissions, total number of readmissions 30 days post‐discharge

Other outcomes: sub‐analyses of readmissions (72‐hour readmissions, readmissions between 4:00 p.m. and 8:00 a.m., time to first readmission and number of emergency department contacts); preventability of the first readmissions in the follow‐up period

Notes

Funding: The Danish Regions and the Danish Health Confederation and the Danish Nurses Organisation

Conflicts of interest: none reported

Ethical approval: Regional Scientific Ethics Committee of the Central Denmark Region and National Data Protection Agency

Notes: Some outcomes were assessed both as per protocol and intention‐to‐treat analyses.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote: “The randomisation was generated by a specific web‐based program (Trial Partner) in random blocks of 20.” (p.4, 2nd column)

Allocation concealment (selection bias)

Unclear risk

Comment: not enough information provided to make a judgment

Baseline outcome data

Low risk

Comment: groups were similar for acute medical unit length of stay (Table 1)

Baseline characteristics similar

Low risk

Comment: baseline characteristics provided and similar between groups (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Comment: due to the nature of the intervention, it was not possible to blind participants or personnel. Objective main outcomes, however not clear if outcome assessors were blinded to group allocation (p.4, 1st column)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: drop outs higher for IG (15%) than CG (6%), reasons explained; ITT and per‐protocol analyses

Study adequately protected against contamination

Unclear risk

Comment: group allocation done by participant, who were all in the same acute medical unit

Selective reporting (reporting bias)

Low risk

Comment: same outcomes reported in trial registry and publication

Other bias

Unclear risk

Quote: “After one year of recruitment, less than half of the required study sample was included and the study was terminated due to futility.” (p.5, 1st column)

Moher 1992

Study characteristics

Methods

Parallel randomised trial

Participants recruited between July and October 1990

Participants

Patients admitted to a general medical clinic, excluded if admitted to intensive care unit or not expected to survive for more than 48 hours

Number of patients recruited: T = 136, C = 131

Mean age: T = 66.3 years, C = 64.3 years

Sex (female): T = 73/136 (54%), C = 72/131 (55%)
 

Interventions

Setting: 2 clinical teaching units, Ottawa, Canada

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: a nurse employed as a team co‐ordinator acted as a liaison between members of the medical team and collected patient information

Implementation of the discharge plan: the nurse facilitated discharge planning

Monitoring: not reported

Control: standard medical care

Outcomes

Hospital length of stay, readmission to hospital, discharge destination, patient satisfaction.

Follow‐up 2 weeks

Notes

Funding: Ontario Ministry of Health, Canada

Conflicts of interest: not reported

Ethical approval: Research Ethics Committee

Notes: baseline data recorded only on age, sex, diagnosis. Not clear when intervention implemented

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Computer‐generated blocks

Allocation concealment (selection bias)

Unclear risk

Comment: Allocation procedure not described

Baseline outcome data

Low risk

Comment: Main outcome was length of stay

Baseline characteristics similar

Low risk

Comment: Baseline data reported (Table 2)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Yes for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Unclear risk

Comment: Not reported.

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: No additional sources of bias

Naji 1999

Study characteristics

Methods

Parallel randomised trial

Study dates: not known

Participants

Patients admitted to an acute psychiatric ward; patients were excluded if previously admitted, too ill, not registered with a GP or had no fixed address.

Number of patients recruited: T = 168, C = 175

Mean age (SD): T = 40 (12), C = 41 (12.8)

Sex (female): T = 83/168 (49%), C = 80/175 (46%)

Interventions

Setting: acute psychiatric wards, Aberdeen, Scotland

Pre admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient need: not clear

Implementation of the discharge plan: psychiatrist telephoned GP to discuss patient and make an appointment for the patient to see the GP within 1 week following discharge. A copy of the discharge summary was given to the patient to hand‐deliver to the GP. A copy was also sent by post.

Monitoring: no

Control: received standard care, patients advised to make an appointment to see their GP and were given a copy of the discharge summary to hand deliver to the GP

Outcomes

Readmission, mental health status, discharge process, cost. Follow‐up at 1 month for patient assessed outcomes, 6 months for readmissions

Notes

Funding: not known

Conflicts of interest: not known

Ethical approval: not known

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Independent computer programme

Allocation concealment (selection bias)

Low risk

Comment: Independent to researchers

Baseline outcome data

Low risk

Comment: Baseline outcome data reported

Baseline characteristics similar

Low risk

Comment: Baseline data collected on day of discharge: baseline completion T = 132/168 (79%), C = 133/175 (76%)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Objective measures used for readmission, consultations and length of stay. Validated standardised patient assessed outcomes also measured.

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Comment: Less than 80% for patient assessed: 1 month completion T = 106/168 (63%), C = 111/175 (63%)

Study adequately protected against contamination

Unclear risk

Comment: Not reported

Selective reporting (reporting bias)

Unclear risk

Comment: Not reported

Naughton 1994

Study characteristics

Methods

Parallel randomised trial

Study dates: April 1st to December 31st 1991

Participants

Patients aged ≥ 70 years admitted from emergency department who were not receiving regular care from an attending internist on staff; patients were excluded if admitted to intensive care unit or surgical ward.

Number of patients recruited: T = 51, C = 60

Mean age (SD): T = 80.1 years (6.6), C = 80.1 years (6.4)

Sex (female): T = 25/51 (49%), C = 38/60 (63%)

Interventions

Setting: private, non‐profit, academic medical centre, Chicago, USA

Pre‐admission assessment: no

Case finding on admission: not clear

Inpatient assessment and preparation of a discharge plan based on individual patient needs: a geriatric evaluation and management team (GEM) assessed the patients' mental and physical health status and psychosocial condition to determine level of rehabilitation required and social needs. A geriatrician and social worker were the core team members. 

Implementation of the discharge plan: implemented at the time of admission; team meetings with the GEM and nurse specialist and physical therapist took place twice a week to discuss patients' medical condition, living situation, family and social supports, and patient and family's understanding of the patient's condition. The social worker was responsible for identifying and co‐ordinating community resources and ensuring the posthospital treatment place was in place at the time of discharge and 2 weeks later. The nurse specialist co‐ordinated the transfer to home healthcare. Patients who did not have a primary care provider received outpatient care at the hospital.

Monitoring: not reported 

Control: received 'usual care' by medical house staff and an attending physician. Social workers and discharge planners were available on request.
 

Outcomes

Hospital length of stay, discharge destination, health service costs

Notes

Funding: Northwestern Memorial Foundation

Conflicts of interest:

Ethical approval: Institutional Review Board of Northwestern University

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Card indicating assignment to the intervention or control group were placed sequentially in opaque sealed envelopes

Allocation concealment (selection bias)

Low risk

Comment: Sealed envelopes provided by admitting clerk

Baseline outcome data

Low risk

Comment: Baseline outcome data reported

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Yes for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: 141 patients initially randomised, of these 25 were ineligible and 5 were transferred to surgical services, leaving 111 to be analysed

Study adequately protected against contamination

Unclear risk

Comment: Not reported

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Unclear risk

Comment: Not reported

Naylor 1994

Study characteristics

Methods

Parallel randomised trial

Study conducted between July 1989 and February 1992

Participants

Patients aged ≥ 70 years, admitted to medical ward and cardiac surgery, English‐speaking, alert and orientated at admission, and able to use telephone after discharge. The medical diagnostic related groups were congestive heart failure and angina/myocardial infarction, the surgical were coronary artery bypass graft and cardiac valve replacement

Number of patients recruited: T = 140, C = 136

Mean age (SD): 76 years

Interventions

Setting: Hospital of the University of Pennsylvania, USA

Pre‐admission assessment: no

Case finding on admission: not clear

Inpatient assessment and preparation of a discharge plan based on individual patient needs: the discharge plan included a comprehensive assessment of the needs of the elderly patient and their caregiver, an education component for the patient and family and interdisciplinary communication regarding discharge status

Implementation of the discharge plan: implemented by geriatric nurse specialist and extended from admission to 2 weeks post‐discharge with ongoing evaluation of the effectiveness of the discharge plan

Monitoring: not reported

Control: received the routine discharge planning available in the hospital

Outcomes

Hospital length of stay, readmission to hospital, health status, health service costs

Follow‐up at 2, 6, and 12 weeks post‐discharge

Notes

Funding: National Institute of Nursing Research, USA

Conflicts of interest: not reported

Ethical approval: not reported

Notes: intervention implemented at time of admission

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: Not described

Allocation concealment (selection bias)

Unclear risk

Comment: Not described

Baseline outcome data

Low risk

Comment: Baseline outcome data reported for health status and previous rehospitalisations and similar between groups (Table 1)

Baseline characteristics similar

Low risk

Comment: Baseline data reported and similar between groups (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Yes, for objective measures

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients included in the final sample accounted for

Study adequately protected against contamination

Unclear risk

Comment: Participants recruited from the same hospital and allocated to intervention and comparison groups; study personnel delivered the intervention (p.1000)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Nazareth 2001

Study characteristics

Methods

Parallel randomised trial

Study conducted between June 1995 and March 1997

Participants

Patients aged ≥ 75 years, on 4 or more medicines who were discharged from 3 acute wards and 1 long‐stay ward. Each patient had a mean of 3 chronic medical conditions, and was on a mean of 6 drugs (SD 2) at discharge.

Number of patients recruited: T = 181, C = 181

Mean age (SD): 84 years (5.2)

Sex (female): T = 112/181 (62%), C = 119/181 (66%)

Interventions

Setting: three acute and one long‐stay hospital, London, UK

Pre‐admission assessment: no

Case finding on admission: not clear

Inpatient assessment and preparation of a discharge plan based on individual patient needs: a hospital pharmacist assessed patients' medication, rationalised the drug treatment, provided information and liaised with caregiver and community professionals. An aim was to optimise communication between secondary and primary care professionals.

Follow‐up visit by community hospital at 7‐14 d after discharge to check medication and intervene if necessary. Subsequent visits arranged if appropriate.

Implementation of the discharge plan: a copy of the discharge plan was given to the patient, caregiver, community pharmacist and GP

Monitoring: follow‐up in the community by a pharmacist

Control: discharged from hospital following standard procedures, which included a letter of discharge to the GP. The pharmacist did not provide a review of medications or follow‐up in the community

Outcomes

Hospital readmission, mortality, quality of life, client satisfaction, knowledge and adherence to prescribed drugs, consultation with GP

Follow‐up at 3 and 6 months

Notes

Funding: National Health Service research and development programme, UK

Conflicts of interest: not reported

Ethical approval: not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Computer generated random numbers

Allocation concealment (selection bias)

Low risk

Comment: Allocation by independent pharmacist at the health authority's central community pharmacy office

Baseline outcome data

Low risk

Comment: Baseline outcome data reported and similar between groups (Table 2)

Baseline characteristics similar

Low risk

Comment: Baseline characteristics reported and similar between groups (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Blinding of objective outcomes

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: At each follow‐up time the number of deaths and readmissions were accounted for. 2 control patients moved away prior to 6‐month follow‐up

Study adequately protected against contamination

Low risk

Comment: The hospital pharmacist who delivered the intervention had no contact with participants allocated to the comparison group

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Nguyen 2018

Study characteristics

Methods

Parallel randomised trial

Study conducted between November 2015 and January 2017

Participants

Patients admitted to hospital with acute coronary syndrome (ACS)

Number of patients randomised: 166 (T: 79, C: 87); Analysed: 128 (1month follow‐up; T: 68, C: 60)

Mean age: 61.2 years (SD 9.6)

Sex (female): 46/166 (28%)

Other relevant characteristics: the majority of patients had a discharge diagnosis of non‐ST‐segment elevation ACS (75.3%) and more than two co‐morbidities (53.6%)

Interventions

Setting: Heart Institute, Ho Chi Minh City, Vietnam

Pre‐admission assessment: no

Case finding on admission: patients admitted with ACS were screened for eligibility

Inpatient assessment and preparation of a discharge plan based on individual patient needs: the first session was held in hospital 1 week before discharge, and delivered in‐person by a pharmacist; it comprised four components (assessment and advice about ACS knowledge; assessment of past experience with medication and tailored advice; medication aids; teach back and addressing concerns).

Implementation of the discharge plan: as part of the counselling session the pharmacist provided instructions on how to use medication and schedule telephone calls.

Monitoring phase: the second session was held 2 weeks after discharge, and delivered on the phone, addressing medication‐related issues.

Control: usual care; patients had their medication dispensed at the hospital pharmacy or at any private pharmacy, and were followed at a public or private healthcare centre as an outpatient.

Outcomes

Main outcomes: patient adherence (1 month, 3 months)

Other outcomes: mortality, hospital readmission (3 months)

Notes

Funding: Vietnam International Education Development via the Project of Training Lecturers with Ph.D. Degree for Universities and Colleges

Conflicts of interest: "The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Ethical approval: the study was approved by the institutional biomedical research ethics committee

Trial registry:NCT02787941

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote: “online random number generator (randomization.com)” (Randomization and Intervention)

Allocation concealment (selection bias)

Low risk

Quote: “Investigators who performed patient recruitment had been concealed the sequence until the intervention was assigned.” (Randomization and Intervention)

Baseline outcome data

Low risk

Comment: Groups were similar at baseline for medication adherence, HRQoL and comorbidities (Table 1)

Baseline characteristics similar

Low risk

Comment: Baseline characteristics presented and similar between groups (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Quote: “Outcome assessors were blinded; patients and pharmacists performing interventions could not be blinded due to the nature of the intervention.” (Randomization and Intervention)

Comment: main outcome is self‐reported

Incomplete outcome data (attrition bias)
All outcomes

High risk

Comment: between 16% (CG) and 22% (IG) of participants allocated were lost to follow‐up for reasons unknown (Fig.1)

Study adequately protected against contamination

Unclear risk

Comment: Not enough information to make a decision.

Selective reporting (reporting bias)

Unclear risk

Comment: Same outcomes between trial registry and published trial

Other bias

Low risk

Comment: Not reported

Parfrey 1994

Study characteristics

Methods

Parallel randomised trial

Not reported when study was conducted

Participants

Medical and surgical patients, excluded if admitted for short stay or into units with their own discharge process, previously enrolled in the study, confused or intoxicated, and ≥ 85 years.

Number of patients recruited: hospital A: T = 421, C = 420; hospital B: T = 375, C = 384

Mean age (SD): hospital A: T = 53 years (19), C = 53 years (18); hospital B: T = 56 years (18), C = 56 years (18)

Sex (female): hospital A: T = 188/421 (45%), C = 184/420 (44%); hospital B: T = 217/374 (58%), C = 210/384 (55%)

Interventions

Setting: 2 academic hospitals, Newfoundland, Canada

Pre‐admission assessment: no

Case finding on admission: developed a questionnaire to identify patients requiring discharge planning

Inpatient assessment and preparation of a discharge plan based on individual patient needs: assessment was based on the questionnaire which covered the patient's social circumstances at home; if the admission was an emergency admission or a readmission; the use of allied health and community services; mobility and activities of daily living; medical or surgical condition

Implementation of the discharge plan: referrals to allied health professionals following completion of the questionnaire for discharge planning

Monitoring: not reported

Control: did not receive the questionnaire; discharge planning occurred if the discharge planning nurses identified a patient or received a referral

Outcomes

Hospital length of stay at 6 and 12 months

Notes

Funding: National Health and Research Development Program, Canada

Conflicts of interest: none reported

Ethical approval: approval from the Human Investigations Committee of the Faculty of Medicine, Memorial University, University of Newfoundland and the Medical Advisory Committees of the Memorial Hospital and St John's Hospital Newfoundland.

Notes: also validated an instrument to assess high‐risk patients. Intervention implemented at time of admission

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: Not described

Allocation concealment (selection bias)

Low risk

Comment: Sealed envelopes

Baseline outcome data

Low risk

Comment: Not applicable as outcome as hospital length of stay

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Yes for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Unclear risk

Comment: Not reported

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Unclear risk

Comment: Not reported

Preen 2005

Study characteristics

Methods

Parallel randomised trial

Study dates not reported

Participants

Patients with chronic obstructive pulmonary disease, cardiovascular disease, or both; patients had to be registered with a PCP and have at least two community care providers.

Number of patients recruited: T = 91, C = 98

Mean age (SD): T = 74.8years (6.7), C = 75.4 (7.9) years

Sex: (female): T = 57/91 (62%), C = 58/98 (59%)

Interventions

Setting: 2 tertiary hospitals in Western Australia

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: discharge planning was based on the Australian Enhanced Primary Care Initiative and tailored to each patient. The discharge plan was developed 24 to 48 hours prior to discharge. Problems were identified from hospital notes and patient/caregiver consultation, goals were developed and agreed upon with the patient/caregiver based on personal circumstances, and interventions and community service providers were identified who met patient needs and who were accessible and agreeable to the patient.

Implementation of the discharge plan: the discharge plan was faxed to the GP and consultation with the GP was scheduled within 7 d post‐discharge. Copies faxed to all service providers identified on the care plan.

Monitoring: research nurse followed up if GP did not respond in 24 hours and the GP scheduled a consultation (within 7 days post‐discharge) for patient review

Control: patients were discharged under the hospitals' existing processes following standard practice of Western Australia, where all patients have a discharge summary completed, which is copied to their GP

Outcomes

SF‐12, patient satisfaction and views of the discharge process and GP views of the discharge planning process at 7 days post‐discharge

Notes

Funding: Western Australian Department of Health

Conflicts of interest: not reported

Ethical approval: hospital research ethics committees

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: Not described

Allocation concealment (selection bias)

Low risk

Comment: Described as an "allocation concealment technique"

Baseline outcome data

Low risk

Comment: Baseline outcome data presented and similar between groups (Table 2)

Baseline characteristics similar

Low risk

Comment: At discharge from hospital (Table 1)

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Comment: Blinding for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: 61/189 patients did not return surveys (32% drop‐out), GP 70.4% response rate at 7 d postdischarge

Study adequately protected against contamination

Unclear risk

Comment: Participants allocated to intervention and comparison groups within the same wards; intervention delivered by study personnel who did not have contact with those allocated to the comparison group (p.44, 2nd column)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Rich 1993

Study characteristics

Methods

Parallel randomised trial

Study dates: April 1988 to March 1089

Participants

Patients aged 70 years, with heart failure; patients were excluded if at low risk, resided outside the catchment area, discharged to a nursing home or long‐term care facility, had other illnesses likely to result in readmission, denied consent, or other logistic reasons.

Number of patients recruited: T = 63, C = 35

Mean age (SD): T = 80.0 years (6.3), C = 77.3 years (6.1)

Sex (female): T = 38/63 (60%), C = 20/35 (57%)

Ethnicity: number white T = 29/63, C = 20/35

Interventions

Setting: Jewish Hospital at Washington University Medical Centre, USA

Pre‐admission assessment: yes

Case finding on admission: screened for heart failure and stratified into readmission risk categories

Inpatient assessment and preparation of a discharge plan based on individual patient needs: patients were visited daily by RN to discuss CHF using a booklet developed for the trial and assess and discuss medications, providing a medication card with timing and dosing of all drugs; dietary advice was provided by dietician and study nurse, and patients were given a low‐sodium diet.

Implementation of the discharge plan: a social care worker and member of the home care team met with patient to facilitate discharge planning and ease transition. Economic, social and transport problems were identified and managed. The home care nurse visited the patient at home within 48 h of hospital discharge and then 3 times in the first week and at regular intervals thereafter; at each visit the teaching materials, medication, and diet and activity guidelines were reinforced, and any new problems were discussed.

Monitoring: study nurse contacted patients by phone, and patients were encouraged to call researchers or personal physician with any new problems or questions.

Control: all conventional treatments as requested by the patient's attending physician. These included social service evaluation, dietary and medical teaching, home care and all other available hospital services. Control group received study education materials and formal assessment of medications. The social service consultations and home care referrals were lower (29% versus 34%).

Outcomes

Length of stay, readmission to hospital, readmission days quality of life, cost at 3 months follow‐up

Notes

Funding: Community Research Grant‐in‐Aid from the American Heart Association, Missouri Affiliate

Conflicts of interest: none reported

Ethical approval: details not available

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: 2:1 treatment:control allocated

Allocation concealment (selection bias)

Unclear risk

Comment: Not described

Baseline outcome data

Low risk

Comment: Not applicable as main outcome is length of hospital stay

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: For objective measures of outcome (readmission, mortality)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Unclear risk

Comment: Participants in the control group did not receive study educational materials or formal medicine review, and fewer home and social service referrals

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Unclear risk

Comment: Not reported

Rich 1995

Study characteristics

Methods

Parallel randomised trial

Study conducted between July 1990 and June 1994

Participants

Patients aged ≥ 70 years, with confirmed heart failure and at least 1 of the following risk factors for early readmission: prior history of heart failure, 4 or more hospitalisations in the preceding 5 years, congestive heart failure precipitated by acute MI or uncontrolled hypertension. Patients were excluded if resided outside catchment area, planned discharge to a long‐term care facility, severe dementia or psychiatric illness, life expectancy of less than 3 months, refused to participate or other logistic reasons.

Number recruited: T = 142, C = 140

Mean age (SD): T = 80.1 years (5,9), C = 78.4 years (6.1)

Sex (female): T = 96/142 (68%), C = 83/140 (59%)

Ethnicity: non‐white 55%

Living alone: T = 58/142 (41%), C = 62/140 (44%)

Interventions

Setting: Jewish Hospital at Washington University Medical Centre, US

Pre‐admission assessment: no

Case finding on admission: yes

Inpatient assessment and preparation of a discharge plan based on individual patient needs: included using a teaching booklet, individualised dietary assessment and instruction by a dietician with reinforcement by the cardiovascular research nurse, consultation with social services to facilitate discharge planning and care after discharge, assessment of medications by geriatric cardiologist, intensive follow‐up after discharge though the hospital's home care services, plus individualised home visits and telephone contact with the study team.

Implementation of the discharge plan: with social services

Monitoring: not clear

Control: received all standard treatment and services ordered by their primary physicians

Outcomes

Mortality, readmission to hospital, quality of life, cost at 3 months follow‐up. Quality of life and cost data were collected from a subgroup of patients only: quality of life = 126, cost = 57

Notes

Funding: National Heart, Lung, and Blood Institute, USA

Conflicts of interest: not reported

Ethical approval: Institutional review board

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Computer‐generated list of random numbers

Allocation concealment (selection bias)

Low risk

Comment: Neither patient nor members of the study team were aware of the treatment assignment until after randomisation

Baseline outcome data

Low risk

Comment: Baseline outcome data provided for quality of life and similar between groups (Table 4)

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: For objective measures of outcome (mortality, readmissions and death)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Unclear risk

Comment: Participants allocated to intervention and comparison groups within the same wards; intervention delivered by study personnel who did not have contact with those allocated to the comparison group (p.1191, top 1st column)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Shaw 2000

Study characteristics

Methods

Parallel randomised trial

Study conducted between August 1995 and February 1996

Participants

Patients discharged from a psychiatric hospital or care of the elderly ward; patients were excluded if they were prescribed medication at discharge, received a primary diagnosis of drug or alcohol abuse or dementia, and refused home visits after discharge.

Number of patients recruited: T = 51, C = 46

Mean age (SD): 47 (17)

Sex (female): 61 (63%)

Interventions

Setting: psychiatric hospital in South Glasgow, Scotland

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: pre‐discharge assessment with a pharmacy checklist which assessed patient's knowledge and identified particular problems, such as therapeutic drug monitoring, compliance aid requirements and side effects

Implementation of the discharge plan: a pharmacy discharge plan was supplied to the patients' community pharmacist for the intervention group

Monitoring: not clear

Control: care not described

Outcomes

Knowledge about medicines, readmission to hospital, readmission due to non‐compliance, medication problems after being discharged from hospital

Notes

Funding: Primary Care Development Initiative, Scottish Government

Conflicts of interest: not reported

Ethical approval: not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Table of generated numbers with a randomised permuted block size of 6

Allocation concealment (selection bias)

Low risk

Comment: Randomisation by the project pharmacist

Baseline outcome data

Low risk

Comment: Outcomes refer to post‐discharge (readmission)

Baseline characteristics similar

Low risk

Comment: Baseline characteristics reported as similar between groups (p.146)

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Comment: Details of how data were collected for readmission and and length of stay were not reported

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Comment: > 30% attrition at 12 weeks

Study adequately protected against contamination

Unclear risk

Comment: Intervention was delivered by the pharmacist, who did not have contact with participants allocated to the comparison group.

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Sulch 2000

Study characteristics

Methods

Parallel randomised trial

Study dates not reported

Participants

Patients admitted to the acute stroke unit and receiving rehabilitation, with persistent impairment and functional limitations. Patients were excluded if they had mild deficits or premorbid physical or cognitive disability

Number recruited: integrated care pathway (ICP) = 76, multidisciplinary team (MDT) = 76

Mean age (SD): ICP = 75 (11) years, MDT = 74 (10) years

Interventions

Setting: stroke rehabilitation unit at a teaching hospital in London, UK

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: rehabilitation and discharge planning, with regular review of discharge plan

Implementation of the discharge plan: senior nurse implemented the ICP. Multidisciplinary training preceded implementation of the ICP. ICP was piloted for 3 months prior to recruitment to the trial. 

Monitoring: not reported

Control: multidisciplinary model of care in which patients' progress determined goal setting, rather than short‐term goals being determined in advance. The care received by the control group was reviewed and a 3‐month period of implementation was undertaken to exclude bias caused by a placebo effect of undertaking the trial. Groups received comparable amounts of physiotherapy and occupational therapy.

Outcomes

Hospital length of stay, discharge destination, mortality at 26 weeks, mortality or institutionalisation, activities of daily living index, anxiety and depression, quality of life

Notes

Funding: NHS R&D Executive North Thames Research Implementation Committee, UK; NHS Health Technology Assessment grant

Conflicts of interest: Not reported

Ethical approval: Not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Computer‐generated list of randomised numbers

Allocation concealment (selection bias)

Low risk

Comment: Randomisation office allocated patients to intervention or control

Baseline outcome data

Low risk

Comment: Main outcome is length of stay

Baseline characteristics similar

Low risk

Comment: Baseline data reported

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Participants and health professionals aware of allocation group; low risk for objective outcomes (readmission, mortality and length of stay)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Unclear risk

Comment: Participants randomised to intervention or comparison unit, however same healthcare professionals provided care to both (p.1930)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

Weinberger 1996

Study characteristics

Methods

Parallel randomised trial

Study conducted between November 1992 and July 1994

Participants

Patients with diabetes mellitus, HF, COPD; patients were excluded if already receiving care at a primary care clinic, residing or being discharged to nursing home, admitted for surgical procedure or cancer diagnosis, if cognitively impaired and had no caregiver, and if had no access to a telephone.

Number of patients recruited: T = 695, C = 701

Mean age (SD): T = 63.0 years (11.1), C = 62.6 years (10.9)

Sex (female): T = 7/695 (1%), 14/701 (2%)
 

Interventions

Setting: 9 Veterans Affairs hospitals, USA

Pre‐admission assessment: no

Case finding on admission: no

Inpatient assessment and preparation of a discharge plan based on individual patient needs: 3 days before discharge a primary nurse assessed the patient's post‐discharge needs. 2 days before discharge the primary care physician visited the patient and discussed patient's discharge plan with the hospital physician and reviewed the patient. Primary nurse made an appointment for the patient to visit the primary care clinic within 1 week of discharge.

Implementation of the discharge plan: patient provided with education materials and given a card with the names and beeper numbers of the primary care nurse and physician. Primary care nurse telephoned the patient within 2 working days after discharge. Primary care physician and primary nurse reviewed and updated the treatment plan at the 1st post‐discharge appointment.

Monitoring: not reported

Control: did not have access to the primary care nurse and received no supplementary education or assessment of needs beyond usual care

Outcomes

Re‐admission to hospital, health status, patient satisfaction, intensity of primary care (6 months follow‐up)

Notes

Funding: Veterans Affairs Cooperative Study in Health Services No. 8, USA; Career Development Program, USA

Conflicts of interest: not reported

Ethical approval: Research and Human Subjects Committee

Notes: discharge planning within 3 days of discharge. Nine VA hospitals participated in the trial

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Comment: Produced by statistical coordinating centre

Allocation concealment (selection bias)

Low risk

Comment: Allocation made by telephoning the statistical coordinating centre

Baseline outcome data

Low risk

Comment: Baseline outcome data reported and similar between groups (Table 2)

Baseline characteristics similar

Low risk

Comment: Baseline data reported and similar between groups (Table 2)

Blinding (performance bias and detection bias)
All outcomes

Low risk

Comment: Objective measures of outcome and telephone interviews

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: All patients randomised accounted for at follow‐up

Study adequately protected against contamination

Unclear risk

Comment: Participants allocated to intervention and comparison groups within the same wards; intervention delivered by study personnel who did not have contact with those allocated to the comparison group (p.1442)

Selective reporting (reporting bias)

Unclear risk

Comment: Not able to judge from available information

Other bias

Low risk

Comment: Not reported

ACS: acute coronary system; ADE: adverse drug event; ADL: activities of daily living; AGU: acute geriatric unit; AHCP: after‐hospital care plan; AHCPR: Agency for Health Care Policy and Research; AMI: acute myocardial infarction; C: control; CHF: congestive heart failure; CM: case manager; COPD: chronic obstructive pulmonary disease; DA: discharge advocate; DC: discharge coordinator; DSM: Diagnostic and Statistical Manual of Mental Disorders; ED: emergency department; GEM: geriatric evaluation and management team; GP: general practitioner; HF: heart failure; HRQoL: health‐related quality of life; IADL: instrumental activities of daily living; ICP: integrated care pathway; MDT: Multidisciplinary team; MI: myocardial infarction; MM: mini‐mental assessment; NCM: nurse care manager; NP: Nurse practitioner; OT: occupational therapist; PCP: primary care provider; PO: Primary outcome; PT: physiotherapist; RA: research assistant; RED: re‐engineered discharge; RN: registered nurse; SD: standard deviation; T: treatment; TIA: transient ischaemic attack.

We added three risk of bias criteria (baseline outcome data, protection against contamination and other bias), which were independently assessed by two reviewers (DCGB and SS). For three trials we were not able to obtain paper or electronic copies (Hendriksen 1990Naji 1999Parfrey 1994), and do not report risk of bias for those criteria.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Abadi 2017

Intervention is delivered for 12 weeks post‐discharge

Applegate 1990

Discharge planning plus geriatric assessment unit

Borenstein 2016

Intervention was CGA with redesigned interprofessional team‐based care

Brooten 1987

Discharge planning plus home care package

Brooten 1994

Discharge planning plus home care package plus counselling

Casiro 1993

Discharge planning plus home care package

Chen 2017

Post‐discharge component

Choong 2000

Intervention is clinical pathway for patients with a fractured neck of femur, discharge planning is not described

Clemson 2016

Comparison group also received discharge planning

Diplock 2017

Comparison group also received discharged planning

Drummond 2012

Comparison is not usual care

Englander 2014

Transitional care intervention; the only element of discharge planning was primary care‐medical home linkage

Germain 1995

Geriatric assessment and intervention team

González‐Guerrero 2014

Control group given the same manual as intervention group at discharge

Haggmark 1997

Study design not clear

Hegelund 2019

Intervention delivered at point of discharge

Hickey 2000

Patients in the intervention group received discharge planning from a nurse case manager, patients in the control group received discharge planning on request

IRCT2016072119141N2

Intervention is delivered for 6 months post‐discharge

Jenkins 1996

Intervention is discharge teaching book

JPRN‐UMIN000029404

Comparison group also received discharged planning

Karppi 1995

Discharge planning plus geriatric assessment unit

Kempen 2020

The focus of the intervention was i) pharmacist‐led comprehensive medication review, ii) a pharmacist‐led comprehensive medication review with post‐discharge follow‐up, ii) usual care without a pharmacist

Kleinpell 2004

Intervention and control groups received discharge planning, the intervention group also received a discharge planning questionnaire

Lang 2017

Intervention and control groups received discharge planning

Linden 2014

1. Multidimensional intervention, based on the transitional care model

2. Control group also received discharge planning

Lindhardt 2019

Intervention was implemented at point of discharge

Lisby 2018

Intervention focuses on the promotion of communication between pharmacist/ pharmacologist/orthopaedic physician

Loffler 2014

Medication review only, not discharge planning

Lopes Oscalices 2019

Intervention focuses on patient education to improve understanding of heart failure and medicines

Luo 2019

Intervention is delivered for 6 months post‐discharge

Martin 1994

Discharge planning plus hospital at home

Martin‐Sanchez 2019

Intervention was implemented at point of discharge

Marusic 2013

Intervention was standardised to all patients; no individual assessment done

McGrory 1994

Assessed primary nursing and discharge teaching

McInnes 1999

Both groups received discharge planning, intervention group also received GP input to discharge planning process

Naylor 1999

Discharge planning and home follow‐up.

Naylor 2004

Complex package of care; main emphasis was not discharge planning

NCT02112227

Intervention starts at post‐discharge; intervention is mainly nurse navigator, not discharge planning

NCT02351648

Intervention is transitional care model

NCT03258632

Intervention is delivered 6 weeks post‐discharge

Nickerson 2005

No results reported for the control group

Pourrat 2017

Intervention focuses on promoting communication between hospital and community pharmacies

Puschner 2008

Post‐discharge component

Ravn‐Nielsen 2018

Main components of the intervention are hospital pharmacist review, adding information to the electronic record, and communicating with the physician. Patient receives a 30‐minute post‐discharge interview.

Rich 1993b

Pilot study of discharge planning plus home care package

Rich 1995b

Discharge planning plus home care package

Saleh 2012

Post‐discharge care

Salmani 2018

Intervention is mainly educational; post‐discharge component

Schnipper 2021

Stepped wedge randomised design; the intervention evolved during the study

Shah 2013

Intervention was standardised to all patients; no individual assessment done

Sharif 2014

Intervention solely focused on providing education and information

Shyu 2010

Multifaceted intervention which included a home care component

Townsend 1988

Post‐discharge care

Tseng 2012

Intervention included a large component of rehabilitation that was not available to the control group

Van Hollebeke 2016

Intervention evaluated the impact of a hospital‐to‐community pharmacist medication records scheme on post‐discharge continuity of patient treatment.

Victor 1988

Augmented home‐help scheme

Voirol 2004

Intervention was standardised to all patients; no individual assessment done

Xu 2019

Intervention focuses on medication and disease management and secondary prevention

Yeung 2012

Multidimensional intervention, based on the transitional care model

CGA: comprehensive geriatric assessment; HMO: health maintenance organisation

Characteristics of ongoing studies [ordered by study ID]

DRKS00015996

Study name

Vun nix kütt nix ‐ patient, geriatrician and general practitioner as a multiprofessional team for intersectoral discharge management

Methods

Parallel randomised trial

Participants

Setting: Germany

Inclusion criteria: >= 65 years, >= 2 chronic conditions

Exclusion criteria: unable to consent, language limitations

Interventions

Intervention: comprehensive geriatric assessment, intersectoral discharge management with patient education and family physician contact

Comparison: comprehensive geriatric assessment, normal discharge management

Outcomes

Main outcome: hospital readmission

Other outcomes: length of hospital stay, nursing home use, number of drugs, presence of depression symptoms, measure of activity of the patient, quality of life, self‐efficacy, patient satisfaction, family doctors satisfaction

Starting date

October 2019

Contact information

Maria Polidori Nelles (maria.polidori‐nelles@uk‐koeln.de)

Notes

Ergan 2018

Study name

Structured discharge and follow‐up protocol for COPD Patients receiving LTOT and NIV

Methods

Open ‐abel parallel randomised trial

Participants

Setting: Turkey

Inclusion criteria: aged 40 to 85 years, diagnosis of COPD, eligible for long‐term oxygen therapy (LTOT) or noninvasive ventilation (NIV)

Main exclusion criteria: already receiving long‐term oxygen therapy (LTOT) or noninvasive ventilation (NIV)

Interventions

Intervention: structured discharge, including patient and relatives education about disease severity, medication and equipment use; preparation of home environment for patient needs; telephone follow‐up at 7 and 14 days post‐discharge

Comparison: usual care

Outcomes

Main outcome: hospital readmission at 90 days

Other outcomes: time to first exacerbation, rate of exacerbation, rate of hospitalisation, compliance to treatment, survival at 12 months

Starting date

November 2016

Contact information

Begum Ergan

Notes

Trial registry NCT03499470

Estimated completion date August 2019

Grischott 2018

Study name

Improving inappropriate medication and information transfer at hospital discharge: a cluster‐RCT

Methods

Double‐centre double‐blind cluster‐randomised parallel‐controlled clinical trial

Participants

Setting: Switzerland

Main inclusion criteria: hospitalised adults aged >=60 years, with >=5 drugs prescribed

Main exclusion criteria: life expectancy <3  months; cognitive inability to follow study procedures

Interventions

Intervention: at a cluster level, senior health physicians will receive a 2 hours "teach‐the‐teachers" session on how to integrate discharge procedure into their daily practice; at a patient level, junior physicians review the patient's medication list using a checklist, after which they develop an optimised discharge medication plan.

Comparison: at a cluster level, senior health physicians will attend a 2 hours session on multimorbidity; patient will be discharged according to usual procedure.

Outcomes

Main outcome: number of days until the first readmission to (any) hospital (6 months post‐discharge)

Other outcomes: readmission rates; number of ED visits or GP encounters; death; number of drugs at discharge; proportion of potentially inappropriate medications; patients quality of life. Outcomes collected at 1, 3, and 6 months post‐discharge unless otherwise specified

Starting date

Start date January 2017

Estimated completion date September 2021

Contact information

Dr Stefan Neuner‐Jehle (stefan.neuner‐[email protected])

Notes

Trial registry ISRCTN18427377

NCT02388711

Study name

Comprehensive transitional care program for dementia patients

Methods

Single‐blinded parallel randomised trial

Participants

Setting: USA

Inclusion criteria: aged ≥ 65 years, diagnosis of dementia, informal care giver available for regular contact, English‐speaking, access to telephone

Main exclusion criteria: discharged to institutional setting, moderate‐high alcohol intake, other complex health issues

Interventions

Intervention: nurse case manager; inpatient meeting before discharge; 1‐4 postdischarge phone calls

Control: care as usual

Outcomes

Change from baseline in rehospitalisation at 14, 30 and 90 d

Starting date

March 2015

Contact information

Notes

Estimated completion date March 2022 (temporarily suspended due to Covid‐19)

ClinicalTrials.gov Identifier: NCT02388711

NCT02421133

Study name

Transitional care program on 30‐day hospital readmissions for elderly patients discharged from a short stay geriatric ward (PROUST)

Methods

Open‐label parallel steppe‐ wedge randomised trial

Participants

Setting: acute geriatric service, France

Inclusion criteria: aged ≥ 75 years, admitted for > 48 hours, discharged home, at risk of readmission/ER visit

Main exclusion criteria: hospital at home, not local

Interventions

Intervention: pre‐discharge needs assessment; medication reconciliation; comprehensive discharge summary with medication review; direct communication with primary care team and scheduling of follow‐up appointment within 30 days of discharge; phone call and home visits for 4 weeks postdischarge

Control: care as usual

Outcomes

Main outcome: unscheduled readmission and emergency room visits rate at 30 days

Starting date

May 2015

Contact information

Notes

Estimated completion date August 2018

ClinicalTrials.gov Identifier: NCT02421133

NCT03358771

Study name

COPD Discharge bundle delivered alone or enhanced through a care coordinator (PRIHS)

Methods

Triple‐blinded cross‐over randomised trial

Participants

Setting: Canada

Inclusion criteria: aged >=50 years, diagnosed with COPD

Main exclusion criteria: diagnosis other than COPD

Interventions

Intervention: COPD discharge care bundle and coordinator

Active comparator: COPD discharge care bundle

Comparison: usual care

Outcomes

Main outcomes: emergency room revisits at 30 days, hospital readmissions at 30 days

Other outcomes: emergency room revisits (7 days, 6 months, 1 year); hospital readmissions (7 days, 6 months, 1 year); mortality; time to first physician visit; patient experience; economic evaluation

Starting date

March 2017

Contact information

Marta Michas ([email protected]), Michael K Stickland ([email protected])

Notes

Estimated completion date March 2020

NCT03496896

Study name

Transition cAre inteRvention tarGeted to High‐risk patiEnts To Reduce rEADmission (TARGET‐READ)

Methods

Single‐blinded parallel randomised trial

Participants

Setting: Switzerland

Inclusion criteria: aged >=18 years, at high risk of 30‐day readmission

Main exclusion criteria: no phone access, limited language skills

Interventions

Intervention: pre‐discharge component (patient information, medication reconciliation, patient education, planning of a first post‐discharge primary care physician visit with a timely discharge summary sent to the primary care physician); post‐discharge component (two follow‐up phone calls made by a nurse, including assessment of the general health condition and verification of the follow‐up care plan)

Comparison: usual care

Outcomes

Main outcome: 30‐day unplanned hospital readmission or mortality

Other outcomes: 30‐day unplanned hospital readmission; 30‐day mortality; time to first unplanned readmission or mortality; patient's satisfaction; healthcare use; costs

Starting date

April 2018

Contact information

Jacques Donzé ([email protected])

Notes

Estimated completion date March 2020

NCT04154917

Study name

Effectiveness of a comprehensive patient‐centered hospital discharge planning Intervention for frail older adults (HOME)

Methods

Parallel randomised controlled trial

Participants

Setting: Canada

Inclusion criteria: aged>=70 years, mild cognitive impairment, expected hospital stay >=5 days, expected to return to live in the community after discharge

Exclusion criteria: none reported

Interventions

Intervention: inpatient needs assessment, pre‐discharge home assessment, follow‐up home visit and phone call

Comparison: customary discharge planning assessment

Outcomes

Main outcomes: functional autonomy, unplanned hospital readmission

Other outcome: goal attainment

Starting date

November 2019

Contact information

Natasa Obradovic (mailto:natasa.obradovic%40usherbrooke.ca?subject=NCT04154917, 389430, Effectiveness of a Comprehensive Patient‐centered Hospital Discharge Planning Intervention for Frail Older Adults); Ariane Grenier (mailto:ariane.grenier%40usherbrooke.ca?subject=NCT04154917, 389430, Effectiveness of a Comprehensive Patient‐centered Hospital Discharge Planning Intervention for Frail Older Adults)

Notes

Estimated completion date April 2021

COPD: chronic obstructive pulmonary disease; RCT: randomised controlled trial

Data and analyses

Open in table viewer
Comparison 1. Effect of discharge planning on hospital length of stay

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 Hospital length of stay ‐ older people with a medical condition Show forest plot

11

2113

Mean Difference (IV, Fixed, 95% CI)

‐0.73 [‐1.33, ‐0.12]

Analysis 1.1

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 1: Hospital length of stay ‐ older people with a medical condition

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 1: Hospital length of stay ‐ older people with a medical condition

1.2 Hospital length of stay ‐ older people following surgery Show forest plot

2

184

Mean Difference (IV, Fixed, 95% CI)

‐0.06 [‐1.23, 1.11]

Analysis 1.2

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 2: Hospital length of stay ‐ older people following surgery

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 2: Hospital length of stay ‐ older people following surgery

1.3 Hospital length of stay ‐ studies recruiting people with a mix of conditions Show forest plot

3

Other data

No numeric data

Analysis 1.3

Hospital length of stay ‐ studies recruiting people with a mix of conditions

Study

Heading 1

Evans 1993

Initial hospital length of stay

T: Mean number of days in hospital 11.9 (SD 12.7) N=417

C: Mean number of days in hospital 12.5 (SD 13.5) N=418

Hendriksen 1990

Initial hospital length of stay

T: 11 N=135

C: 14.3 N=138

Parfrey 1994

Recruited from two hospitals, reported a median difference for one hospital: − 0.80 days, P = 0.03; Intervention N=421; Control N=420



Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 3: Hospital length of stay ‐ studies recruiting people with a mix of conditions

Open in table viewer
Comparison 2. Effect of discharge planning on unscheduled readmission rates

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Average follow‐up, 3 months from discharge for the majority of studies Show forest plot

17

5126

Risk Ratio (M‐H, Fixed, 95% CI)

0.89 [0.81, 0.97]

Analysis 2.1

Comparison 2: Effect of discharge planning on unscheduled readmission rates, Outcome 1: Average follow‐up, 3 months from discharge for the majority of studies

Comparison 2: Effect of discharge planning on unscheduled readmission rates, Outcome 1: Average follow‐up, 3 months from discharge for the majority of studies

2.1.1 Unscheduled readmission for participants with a medical condition

17

5126

Risk Ratio (M‐H, Fixed, 95% CI)

0.89 [0.81, 0.97]

2.2 Hospital readmission rates at various follow‐up times Show forest plot

18

Other data

No numeric data

Analysis 2.2

Hospital readmission rates at various follow‐up times

Study

Results 

Notes

Participants with a medical condition

Bonetti 2018

Mean hospital readmissions

T= 4 (7.8) N=51, C= 7 (13.2) (N=53)

Follow‐up: 30 days

Farris 2014

At 30 d:

T= 47/281 (17%), C = 43/294 (15%)

Difference 2%; 95% CI − 0.04% to 0.08%

At 90 d:

T= 49/281 (17%), C = 47/294 (16%)

Difference 1%; 95% CI − 5% to 8%

Gillespie 2009

At 12 months:

T= 106/182 (58.2%), C = 110/186 (59.1%)

Difference − 0.9%, 95% CI − 10.9% to 9.1%

Goldman 2014

At 30 d:

T= 50/347 (14%), C = 47/351 (13%)

Difference 1%; 95% CI − 4% to 6%

At 90 d:

I = 89/347 (26%), C = 77/351 (22%)

Difference 3.7%; 95% CI − 2.6% to 10%

Data provided by the trialists

Kennedy 1987

At 1 week:
T= 2/38 (5%), C = 8/40 (20%)
Difference − 15%; 95% CI − 29% to − 0.4%

At 8 weeks:
I = 11/39 (28%), C = 14/40 (35%)
Difference − 7%; 95% CI − 27.2% to 13.6%

Lainscak 2013

At 90 d:

COPD− related

T= 14/118 (12%), C = 33/135 (24%)

Difference 12%; 95% CI 3% to 22%

All‐cause readmission

T = 25/118 (21%), C = 43/135 (32%)

Difference 11%; 95% CI − 0.3% to 21%

Data provided by the trialists; data also available for 30− and 180− d

Laramee 2003

At 90 d:
T = 49/131 (37%), C = 46/125 (37%), P > 0.99

Readmission days:
T= 6.9 (SD 6.5), C = 9.5 (SD 9.8)

Lindpaintner 2013

Similar readmission rate to hospital for both groups at 5 and 30 days

As reported by the authors; no further data reported

T = 30, C = 30

Lisby 2019

At 30 d:

T = 22/101 (22%), C = 19/99 (19%)

Difference 3%; 95% CI ‐8.2% to 14.13

Total readmissions:

T = 0.28 (SD 0.67); C = 0.26 (SD 0.63)

Number of participants who were admitted at least once in each group

Authors also report days to first readmission, and preventable first readmission

Ascertained by chart review

T = 101, C = 99

Moher 1992

At 2 weeks:
T = 22/136 (16%), C = 18/131 (14%)
Difference 2%; 95% CI − 6% to 11%, P = 0.58

Naylor 1994

Within 45‐90 d:
T = 11/72 (15%), C = 11/70 (16%)
Difference 1%; 95% CI − 8% to 12%

Authors also report readmission data for 2‐6 weeks follow up

Nazareth 2001

At 90 d:
T = 64/164 (39%), C = 69/176 (39.2%)
Difference 0.18; 95% CI − 10.6% to 10.2%

At 180 d:
T = 38/136 (27.9%), C = 43/151 (28.4%)
Difference 0.54; 95% CI − 11 to 9.9%

Nguyen 2018

Total number of participants readmitted

T = 7/58 (12%), C = 6/68 (9%)

Difference 3%, 95% CI ‐7.99 to 14.81

Follow‐up: 90 days

Weinberger 1996

Number of readmissions per month
T = 0.19 (+ 0.4) (n = 695), C = 0.14 (+ 0.2), P = 0.005 (n = 701)

At 6 months:
T = 49%, C = 44%, P = 0.06
Treatment group readmitted 'sooner' (P = 0.07)

Non‐parametric test used to calculate P values for monthly readmissions

Participants with medical or surgical condition

Evans 1993

At 4 weeks:
T = 103/417 (24%), C = 147/418 (35%)
Difference − 10.5%; 95% CI − 16.6% to − 4.3%, P < 0.001

At 9 months:
T = 229/417 (55%), C = 254/418 (61%)
Difference − 5.8%; 95% CI −12.5% to 0.84%, P = 0.08

Participants recruited following surgery

Lin 2009

Within 3 months:

T=2/26 (7.7%), C=2/24 (8.3%)

Naylor 1994

Within 6 to 12 weeks:
T = 7/68 (10%), C = 5/66 (7%)
Difference 3%; 95% CI 7% to 13%

Participants with a mental health diagnosis

Naji 1999

At 6 months:
T = 33/168 (19.6%), C = 48/175 (27%)
Difference 7.4%; 95% CI − 1.1% to 16.7%

Mean time to readmission T = 161 d, C = 153 d

T: treatment; C: control; CI: confidence interval

Shaw 2000

At 90 d:
T = 5/51 (10%), C = 12/46 (26%)



Comparison 2: Effect of discharge planning on unscheduled readmission rates, Outcome 2: Hospital readmission rates at various follow‐up times

2.2.1 Participants with a medical condition

14

Other data

No numeric data

2.2.2 Participants with medical or surgical condition

1

Other data

No numeric data

2.2.3 Participants recruited following surgery

2

Other data

No numeric data

2.2.4 Participants with a mental health diagnosis

2

Other data

No numeric data

Open in table viewer
Comparison 3. Effect of discharge planning on health status

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

3.1 Mortality at 3 to 9 months Show forest plot

8

2721

Risk Ratio (M‐H, Fixed, 95% CI)

1.05 [0.85, 1.29]

Analysis 3.1

Comparison 3: Effect of discharge planning on health status, Outcome 1: Mortality at 3 to 9 months

Comparison 3: Effect of discharge planning on health status, Outcome 1: Mortality at 3 to 9 months

3.1.1 Older people with a medical condition

8

2721

Risk Ratio (M‐H, Fixed, 95% CI)

1.05 [0.85, 1.29]

3.2 Mortality for trials recruiting participants with a medical condition and those recovering from surgery Show forest plot

1

Other data

No numeric data

Analysis 3.2

Mortality for trials recruiting participants with a medical condition and those recovering from surgery

Study

Mortality at 9 months

Notes

Evans 1993

T = 66/417 (16%)
C = 67/418 (16%)



Comparison 3: Effect of discharge planning on health status, Outcome 2: Mortality for trials recruiting participants with a medical condition and those recovering from surgery

3.3 Patient‐reported outcomes: a medical condition Show forest plot

15

Other data

No numeric data

Analysis 3.3

Patient‐reported outcomes: a medical condition

Study

Patient health outcomes

Notes

Patients with a medical condition

Cajanding 2017

MLHFQ

Mean difference (C ‐ T)

8.59 (SD 2.29), 95% CI 4.02 to 13.16

CSE

Mean difference (C ‐ T)

‐5.61 (SD 1.13), 95% CI ‐7.87 to ‐3.36

Minnesota Living With Heart Failure Questionnaire (MLHFQ): a lower score indicates less disability from symptoms

Cardiac Self‐Efficacy Questionnaire (CSE): higher scores represent higher self‐confidence

Follow‐up: 30 days

As reported by the authors, mean difference at follow‐up

T = 75, C = 68

C: control; T: treatment; SD: standard deviation

Harrison 2002

SF‐36

Baseline

Physical component

T = 28.63 (SD 9.46) N = 78
C = 28.35 (SD 9.11) N = 78

Mental component

T = 50.49 (SD 12.45) N = 78
C = 49.81 (SD 11.36) N = 78

At 12 weeks

Physical component

T = 32.05  (SD 11.81) N = 77
C = 28.31 (SD 10.0) N = 74

Mental component

T = 53.94 (SD 12.32) N = 78
C = 51.03 (SD 11.51) N = 78

MLHFQ

At 12 week follow‐up (See table 4) n, %

Worse: T = 6/79 (8), C = 22/76 (29)
Same: T = 7/79 (9), C = 10/76 (13)
Better: T = 65/79 (83), C = 44/76 (58)

SF‐36 a higher score indicates better health status

MLHFQ: a lower score indicates less disability from symptoms

T = 79, C = 76 (at 12 week follow‐up)

Kennedy 1987

Long Term Care Information System (LTCIS)
Health and functional status (also measures services required)

No data reported

T = 39, C = 41

Lainscak 2013

St. George’s Respiratory
Questionnaire (SGRQ)

Change in score from 7 to 180 days after discharge

T = 1.06 (IQR CI 8.43 to − 9.50), C = − 0.11 (IQR 8.12 to − 11.34)

Complete data available for approximately half of the participants allocated to the intervention and comparison groups

For the SGRQ, higher scores indicate more limitations; minimal clinically important difference estimated as 4 points.

T = 63, C = 72

Lisby 2019

VAS

T = 60.4 (95% CI 55.4 to 65.5), N = 76; C = 60.2 (95% CI 55.1 to 65.4), N = 81. P = 0.96

Visual Analogue Scale (0‐100, higher scores represent better perceived health)

Mean scores at 30 days post‐discharge; authors also report EQ‐5D scores for each item

T = 76, C = 81

Naylor 1994

Data aggregated for both groups. Mean Enforced Social Dependency Scale increased from 19.6 to 26.3 P < 0.01

Decline in functional status reported for all patients.

Scale measured:

  • Mental status

  • Perception of health

  • Self‐esteem

  • Affect

T = 72, C = 70

Nazareth 2001

General well‐being questionnaire: 1 = ill health, 5 = good health
At 3 months:
T = 76, mean 2.4 (SD 0.7)
C = 73, mean 2.4 (SD 0.6)

At 6 months:
T = 62, mean 2.5 (SD 0.6)
C = 61, mean 2.4 (SD 0.7)

Mean difference 0.10; 95% CI − 0.14 to 0.34

T = 62, C = 61 (at 6 months follow‐up)

Nguyen 2018

EQ‐5D‐3L

T = median 0.000 (IQR 0.000 to 0.275), C = 0.234 (IQR 0.000 to 0.379)

European Quality of Life Questionnaire – (EQ‐5D‐3L). Dimensions: mobility, self‐care, usual activities, pain/discomfort, and anxiety/depression. Each dimension has 3 levels: no problem, some problems, and extreme problems

IQR: Interquartile range

T = 79, C = 87

Follow‐up: 90 days

Changes in quality of life from baseline at the first 3 months after discharge. Data as reported by the authors, no additional data available

Preen 2005

SF‐12

Mental component score

Predischarge score:

T = 37.4 SD 5.4
C = 39.8 SD 6.1

7 d postdischarge:

T = 42.4 SD 5.6
C = 40.9 SD 5.7

Physical component score

Predischarge score:

T = 27.8 SD 4.8
C = 28.3 SD 4.7

7 d postdischarge:

T = 27.2 SD 4.5
C = 27.2 SD 4.1

Baseline N: T 91 C 98

Number at follow‐up not reported.

Rich 1995

Chronic Heart Failure Questionnaire

Total score

At baseline:

T = 72.1 (15.6), C = 74.4 (16.3) 

At 90 d:

T = 94.3 (21.3), C = 85.7 (19.0)

Change score = 22.1 (20.8), P = 0.001 

Dyspnoea

At baseline:

T = 9.0 (7.9), C = 8.1 (7.7) 

At 90 d:

T = 15.8 (12.8), C = 11.9 (10.0)

Change score 6.8 (7.9)

Fatigue

At baseline:

T = 12.9 (5.3), C = 14.1 (5.6)

At 90 d:

T = 18.3 (6.3), C = 16.8 (5.5)

Change score 5.4 (5.5) 

Emotional function

At baseline:

T = 31.9 (8.5), C = 33.3 (8.1)

At 90 d:

T = 37.4 (7.8), C = 35.2 (8.4)

Change score 5.6 (7.1)

Environmental mastery

At baseline:

T = 18.3 (5.8), C = 18.9 (4.8)

At 90 d:

T = 22.7 (4.9), C = 21.7 (4.6)

Change score 4.4 (5.3)

Treatment N = 67, Control N = 59

Chronic Heart Failure Questionnaire contains 20 questions that the patient is asked to rate on a scale 1 to 7 with a low score indicating poor quality of life

Sulch 2000

Barthel activities of daily living
Median scores

At 4 weeks:
T = 13, C = 11

At 12 weeks:
T = 15, C = 17

At 26 weeks:
T = 17, C = 17

Median change from 4 to 12 weeks: P < 0.01

Rankin score
Median score

At 4 weeks:
T = 1, C = 1

At 12 weeks:
T = 3, C = 3

At 26 weeks:
T = 3, C = 3

Hospital anxiety and depression scale
Anxiety
Median scores

At 4 weeks:
T = 5, C = 5

At 12 weeks:
T = 4, C = 4

At 26 weeks
T = 4, C = 4

Depression
Median scores

At 4 weeks:
T = 6, C = 5

At 12 weeks:
T = 5, C = 5

At 26 weeks:
T = 5, C = 5

EuroQol
At 4 weeks:
T = 41, C = 44

Median scores
At 4 weeks:
T = 41, C = 44
P = 0.10

At 12 weeks:
T = 59, C = 65
P = 0.07

At 26 weeks:
T = 63, C = 72
P < 0.005

The Barthel ADL Index covers activities of daily living; scores range from 0 to 20, with higher scores indicating better functioning.

The Rankin scale assesses activities of daily living in people who have had a stroke; it contains 7 items with scores ranging from 0 to 6. Higher scores indicating more disability.

The Hospital Anxiety and Depression Scale is a 14‐item Likert scale (0‐3); scores range from 0 to 21 for each subscale (anxiety and depression), with higher scores indicating more burden from symptoms.

The EuroQol contains 5 items; higher scores indicate better self‐perceived health status.

Baseline T = 76, C = 76

Weinberger 1996

At 1 month: no significant differences
P = 0.99

At 3 months: no significant differences
P = 0.53

SF‐36
T = 695, C = 701
No data shown

Patient report outcomes following surgery

Lin 2009

OARS Multidimensional Functional Assessment Questionnaire (Chinese version) at 3 months follow‐up

Mean (SD)

T = 16.92 (1.41)

C = 16.83 (1.71)

9 components, each component scored 0 to 2 with a total score range 0‐18.

T = 26, C = 24

 

Naylor 1994

No differences between groups reported

Decline in functional status reported for all patients.

Scale measured:

  • Mental status

  • Perception of health

  • Self‐esteem

  • Affect

T = 68, C = 66

Patients with a medical or surgical condition

Evans 1993

At 1 month: mean (SD)
T = 85.3 (21.0) n = 417
C = 86.5 (21.0) n = 418
Difference − 1.2; 95% CI − 4.05 to 1.65

Barthel score
(scale 1 to 100)

Patients with a mental health diagnosis

Naji 1999

Hospital Anxiety Depression Scale
At 1 month after discharge, median (IQR)

Anxiety
T = 11.0 (6.0, 15.0), C = 10.0 (5.0, 14.0)
Mann Whitney P = 0.413

Depression
T = 9.5 (5.0, 13.3), C = 7.0 (3.0, 11.0)
Mann Whitney P = 0.016

Behavioural and Symptom Identification Scale

Relation to self/other
T = 1.8 (1.2, 2.8), C = 1.7 (0.4, 2.7)
Mann Whitney P = 0.10 

Depression/anxiety
T = 1.7 (0.8, 2.7), C = 1.5 (0.4, 2.4)
Mann Whitney P = 0.46

Daily living/role functioning
T = 2.0 (0.9, 2.8), C = 1.8 (0.8, 2.8)
Mann Whitney P = 0.37

Impulsive/addictive behaviour
T = 0.7 (0.3, 1.6), C = 0.7 (0.1, 1.5)
Mann Whitney P = 0.89

Psychosis
T = 0.5 (0.2, 0.8), C = 0.7 (0.2, 1.0)
Mann Whitney P = 0.31

Total symptom score
T = 1.4 (0.6, 2.1), C = 1.3 (0.5, 2.1)
Mann Whitney P = 0.54

Number recruited: T=168; C=175



Comparison 3: Effect of discharge planning on health status, Outcome 3: Patient‐reported outcomes: a medical condition

3.3.1 Patients with a medical condition

12

Other data

No numeric data

3.3.2 Patient report outcomes following surgery

2

Other data

No numeric data

3.3.3 Patients with a medical or surgical condition

1

Other data

No numeric data

3.3.4 Patients with a mental health diagnosis

1

Other data

No numeric data

Open in table viewer
Comparison 4. Effect of discharge planning on satisfaction with care process

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

4.1 Satisfaction Show forest plot

8

Other data

No numeric data

Analysis 4.1

Satisfaction

Study

Satisfaction

Notes

Patient and care givers' satisfaction

Cajanding 2017

SF‐PSQ‐18

Mean difference (C ‐ T)

‐17.33 (SD 2.73), 95% CI ‐22.78 to ‐11.89

Short‐Form Patient Questionnaire (SF‐PSQ‐18): higher scores represent more satisfaction with medical care.

Follow‐up: 30 days

N: T = 75, C = 68

As reported by the authors, mean difference at follow‐up

Laramee 2003

Mean hospital care: T = 4.2, C = 4.0, P = 0.003

Mean hospital discharge: T = 4.3, C = 4.0, P < 0.001

Mean care instructions: T = 4.0, C = 3.4, P < 0.001

Mean recovering at home: T = 4.4, C = 3.9, P < 0.001

Mean total score: T = 4.2, C = 3.8, P < 0.001

16‐item survey, 4 subscales (hospital care, hospital discharge, care instructions, and recovering at home). Items scored 1 to 5, higher scores reflect more satisfaction.

N: T = 120, C = 100

Follow‐up: 3 months

Lindpaintner 2013

Satisfaction with discharge process

At 5 days (median and IQR)

Patients: T = 1 (0), C = 1 (1‐2)

Carers: T = 1 (0), C = 1 (1‐2)

At 30 days

Patients: T = 1 (1‐2), C = 1 (1‐2)

Carers: T = 1 (1‐2), C = 2 (1‐3)

4‐point Likert‐scale, lower scores indicate higher satisfaction

N: T = 30, C = 30

Follow‐up: 5 and 30 days

Lisby 2019

Overall satisfaction with discharge process: high or very high

T = 48/74 (65%), C = 46/71 (65%)

Difference 0%, 95% CI ‐15.24 to 15.18

Follow‐up: 30 days

Single question, Likert‐scale

Moher 1992

Satisfied with medical care:
T = 89%, C = 62%
Difference 27%; 95% CI 2% to 52%, P < 0.001

"Please rate how satisfied you were with the care you received…"

Subgroup of 40 patients, responses from 18 in the treatment group and 21 in the control group

T = 136, C = 131

Follow‐up: 2 weeks

Nazareth 2001

At 3 months:
T = 76, mean 3.3 (SD 0.6)
C = 73, mean 3.3 (SD 0.6)

At 6 months:
T = 62, mean 3.4 (SD 0.6)
C = 61, mean 3.2 (SD 0.6)
Mean difference 0.20; 95% CI − 0.56 to 0.96

Client Satisfaction Questionnaire score, 7 items (1 = dissatisfied, 4 = satisfied), higher scores indicate higher satisfaction.

Follow‐up: 3 and 6 months

Weinberger 1996

At 1 month:
Treatment group more satisfied, P < 0.001

At 6 months:
Treatment group more satisfied, P < 0.001

Authors report differences were greatest for patients' perceptions of continuity of care and non‐financial access to medical care

Patient Satisfaction Questionnaire, 11 domains with a 5‐point scale

T = 695, C = 701

Follow‐up: 1 and 6 months

Professional's satisfaction

Bolas 2004

Standard of information at discharge improved

GPs: 57% agreed

Community pharmacists: 95% agreed

Response rate of 55% (GPs) and 56% (community pharmacists)

No information provided about the survey

Lindpaintner 2013

Satisfaction with discharge process

At 5 days (median and IQR)

Primary care physician: T = 1 (1‐2), C = 2 (1‐3)

Visiting nurse: T = 1 (1‐2), C = 2 (1‐4)

At 30 days (median and IQR)

Primary care physician: T = 2 (1‐3), C = 1 (1‐2)

Number of respondents ranged between 15 (visiting nurse) and 30 (PCP)

4‐point Likert scale, lower scores indicate higher satisfaction



Comparison 4: Effect of discharge planning on satisfaction with care process, Outcome 1: Satisfaction

4.1.1 Patient and care givers' satisfaction

7

Other data

No numeric data

4.1.2 Professional's satisfaction

2

Other data

No numeric data

Open in table viewer
Comparison 5. Effect of discharge planning on hospital resource use and cost

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

5.1 Hospital cost Show forest plot

6

Other data

No numeric data

Analysis 5.1

Hospital cost

Study

Costs

Notes

Patients with a medical condition

Gillespie 2009

Total

T: USD 12000; C: USD 12500

Mean difference: − USD 400 (− USD 4000 to USD 3200)

Visits to ED

T: USD 160; C: USD 260

Mean difference: − USD 100 (− USD 220 to − USD 10)

Readmissions

T: USD 12000; C: USD 12300 Mean difference: − USD 300 (− USD 3900 to USD 3300)

Costs calculated for 2008

T = 182, C = 186

Jack 2009

Emergency department visits

T: USD 11,285 C: USD 21,389

Hospital visits

T: USD 268,942 C: USD 412,544

Follow‐up primary care appointments*

T: USD 12,617 C: USD 8906

Total cost difference between groups

USD 149,995, Mean USD 412 per participant

Follow‐up PCP appointments were given an estimated cost of USD 55, on the basis of costs from an average hospital follow‐up visit at Boston Medical Center

* For 62% of 370 intervention participants and 44% of 368 usual care participants

As reported by the authors, no further data available

T = 373, C = 376

Laramee 2003

Total inpatient and outpatient median costs
T = USD 15,979
C = USD 18,662

P = 0.14

The case manager (CM) kept a log during the first, middle and last 4 weeks of the recruitment period of how much time was spent with each patient during the 12‐week study period. Thus,
the average cost of the intervention was calculated based on an hourly wage (including benefits) of USD 33.93 for the CM. The average intervention cost per patient was USD 228.52, and the average time spent with each intervention patient was 6.7 h per 12 weeks.

T = 141, C = 146

Naughton 1994

Number:
T = 51, C = 60
Total cost of hospital care including breakdown of costs for laboratory, diagnostic imaging, pharmacy and rehabilitation services

Naylor 1994

Initial stay mean charges (USD):
T = 24,352 ± 15,920 (n = 72)
C = 23,810 ± 18,449 (n = 70)
Difference 542 (CI − 5121 to 6205)

Medical readmission total charges in USD (CIs are in thousands):

At 2 weeks:
T = 68,754
C = 239,002
Difference = − 170,247 (CI − 253 to − 87)

2‐6 weeks:
T = 52,384
C = 189,892
Difference = − 137,508 (CI − 210 to − 67)

6‐12 weeks:
T = 471,456
C = 340,496
Difference = 130,960 (CI − 205 to 467)

Charge data were used to calculate the cost of the initial hospitalisation

Readmission costs were calculated using the mean charge per day of the index hospitalisations times the actual number of days of subsequent hospitalisations, as patients were readmitted to a variety of hospitals with a wide range of charges

Total charges including readmission charges (first readmission only if multiple readmissions)

T = 140, C = 136

Rich 1995

Intervention cost

USD 216 per patient

Caregiver cost

T = USD 1164, C = USD 828
Difference USD 336

Other medical care

T = USD 1257, C = USD 1211
Difference USD 46

Readmission costs

T = USD 2178, C = USD 3236
Difference − USD 1058

All costs

T = USD 4815, C = USD 5275
Difference − USD 460

T = 142, C = 140

Patients with a surgical condition

Naylor 1994

Surgical initial stay mean charges (USD):
T = 105,936 ± 52,356 (n = 68)
C = 98,640 ± 52,331 (n = 66)
Difference 7296 (CI − 5141 to 19,733)

Charge data were used to calculate the cost of the initial hospitalisation



Comparison 5: Effect of discharge planning on hospital resource use and cost, Outcome 1: Hospital cost

5.1.1 Patients with a medical condition

6

Other data

No numeric data

5.1.2 Patients with a surgical condition

1

Other data

No numeric data

5.2 Primary and community care resource use and cost Show forest plot

6

Other data

No numeric data

Analysis 5.2

Primary and community care resource use and cost

Study

Use of services

Notes

Farris 2014

Unscheduled office visits

At 30 d

T = 31/281 (11%), C = 32/294 (11%)

Difference 0%; 95% CI − 5% to 5%

At 90 d

T = 42/281 (15%), C = 33/294 (11%)

Difference 4%; 95% CI − 2 to 9%

Results for Enhanced vs Control intervention (results for minimal intervention not reported)

Goldman 2014

Primary care visits at 30 d

T = 189/301 (62.8%), C = 186/316 (58.9%)

Difference 4%; 95% CI − 3.7% to 11.5%

Laramee 2003

Visiting Nurse postdischarge:
T = 70/141(50%), Control: 64/146 (44%)

Lisby 2019

General practitioner contacts

T = mean 3.6 (SD 2.3), C = mean 3.5 (SD 2.5)

After‐hours visits

T = mean 1.6 (SD 0.8), C = mean 1.9 (SD 1.7)

Follow‐up: 30 days

Ascertained by chart review

T = 86, C = 93

SD: standard deviation

Nazareth 2001

General practice attendance:

At 3 months:
T = 101/130 (77.7%)
C = 108/144 (75%)
Difference 2.7%; 95% CI − 7.4 to 12.7%

At 6 months:
T = 76/107 (71%)
C = 82/116 (70.7%)
Difference 0.3%; 95% CI −11.6 to 12.3%

Weinberger 1996

Median time from hospital discharge to the first visit:
Treatment 7 d
Control 13 d
P < 0.001

Visit at least one general medicine clinic in 6‐month follow up:
Treatment 646/695 (93%)
Control 540/701 (77%)
Difference 16%; 95% CI 12.3% to 19.6%, P < 0.001

Mean number of visits to general medical clinic:
Treatment 3.7
Control 2.2
P < 0.001



Comparison 5: Effect of discharge planning on hospital resource use and cost, Outcome 2: Primary and community care resource use and cost

Open in table viewer
Comparison 6. Effect of discharge planning on medication use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

6.1 Problems with medication after discharge from hospital Show forest plot

6

Other data

No numeric data

Analysis 6.1

Problems with medication after discharge from hospital

Study

Results

Notes

Bolas 2004

Intervention group demonstrated a higher rate of reconciliation of patient's own drugs with the discharge prescription; 90% compared to the 44% in the control group

T = 119, C = 124

Bonetti 2018

Number of medication problems per participant

T = M 1 (SD 1.5), C = M 4 (SD 4.2)

Difference 3, 95% CI 1.8 to 4.2

Follow‐up: 30 days

Reviewed by a pharmacist

T = 51, C = 51

M: mean, SD: standard error

Eggink 2010

Following a review of medication by a pharmacist, 68% in the control group had at least one discrepancy or medication error compared to 39% in the intervention group (RR 0.57; 95% CI 0.37 to 0.88). The percent of medications with a discrepancy or error in the intervention group was 6.1% in intervention group and 14.6% in the control group (RR = 0.42; 0.27 to 0.66).

T = 41, C = 44

Follow‐up: 6 weeks

Reviewed by a pharmacist

Farris 2014

Discharge

T = 7.1 (SD 7.0), C = 6.1 (SD 6.6)

30 days post‐discharge

T = 10.1 (SD 8.9), C = 9.6 (SD 9.5)

P = 0.78

90 days post‐discharge

T = 11.6 (SD 10.5), C = 11.1 (11.3)

P = 0.94

T=307, C=309 at 30 day follow‐up

As measured by the medication appropriateness index (MAI); summed MAI per participant

Results for Enhanced v Control intervention (results for minimal intervention not reported)

Kripalani 2012

Clinically important medication errors (total number of events; could be more than one per patient)

At 30 d

T = 370/423, M = 0.87 (SD 1.18)

C = 407/428, M = 0.95 (SD 1.36)

Follow‐up: 30 days

Shaw 2000

Mean number of problems (SD)

At 1 week:
T = 2.0 (1.3), C = 2.5 (1.6)

At 4 weeks:
T = 1.9 (1.5), C = 2.9 (1.8)

At 12 weeks:
T = 1.4 (1.2), C = 2.4 (1.6)

Difference 1, 95% CI 0.4 to 1.6

Problems included difficulty obtaining a prescription from the GP; insufficient knowledge about medication; non‐compliance

T = 51, C = 46



Comparison 6: Effect of discharge planning on medication use, Outcome 1: Problems with medication after discharge from hospital

6.2 Adherence to medicines Show forest plot

4

Other data

No numeric data

Analysis 6.2

Adherence to medicines

Study

Adherence to medicines

Notes

Bonetti 2018

Total MedTake

T = mean 92.1 (SD 9.9), C = 58.5 (SD 31.9)

ARMS

T = mean 13 (SD 2), C = 15 (SD 4)

Total MedTake: drug‐taking procedures for oral prescriptions; evaluates dosage, indications, food or water co‐ingestion, and regimens. Score corresponds to the percentage of correct actions (0%: zero adherence; 100%: total adherence)

Adherence to Refils and Medications Scale (ARMS): medication adherence scale for patients with chronic medical conditions; 14 items, scores range between 12 and 48, higher scores reflect lower adherence.

Self‐reported

T: 49, C: 49

Follow‐up 30 days

T: treatment; C: control; SD: standard deviation

Nazareth 2001

At 3 months:
T = 79, mean 0.75 (SD 0.3), C = 72 mean 0.75 (SD 0.28)

At 6 months:
T = 60, mean 0.78 (SD 0.30), C = 58 mean 0.78 (SD 0.30)

0 = none
1 = total/highest level

Nguyen 2018

Participants assessed as adhering to their medication

T = 53/70 (76%), C = 52/80 (65%)

Absolute difference 11%, 95% ‐5.9 to 26.00)

Follow‐up: 3 months

Morisky Medication Adherence Scale (MMAS‐8): 8‐item questionnaire (items 1‐7 are dichotomous, last item is a Likert‐ale). for identification of barriers and behaviours associated with medication adherence.

Rich 1995

Taking 80% or more of prescribed pills at 30 d after discharge

T = 117/142 (82.5%), C = 91/140  (64.9%)



Comparison 6: Effect of discharge planning on medication use, Outcome 2: Adherence to medicines

6.3 Knowledge about medicines Show forest plot

3

Other data

No numeric data

Analysis 6.3

Knowledge about medicines

Study

Knowledge

Notes

Bolas 2004

Mean error rate in knowledge of drug therapy at 10‐14 d follow up

Drug name T = 15%, C = 43%, P < 0.001

Drug dose T = 14%, C = 39%, P < 0.001

Frequency T = 15%, C = 39%, P < 0.001

(n for each group not reported)

Nazareth 2001

At 3 months:
T = 86, mean 0.69 (SD 0.33)
C = 83, mean 0.62 (SD 0.34)

At 6 months:
T = 65, mean 0.69 (SD 0.35)
C = 68, mean 0.68 (SD 0.30)
Mean difference 0.01; 95% CI − 0.12 to 0.13

0 = none
1 = total/highest level

Shaw 2000

At 1 and 12 weeks post‐discharge:

Significant improvement in knowledge medication for both groups (no differences between groups)



Comparison 6: Effect of discharge planning on medication use, Outcome 3: Knowledge about medicines

Open in table viewer
Comparison 7. Effect of discharge planning on place of discharge

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

7.1 Discharge destination for people with a medical condition Show forest plot

7

Other data

No numeric data

Analysis 7.1

Discharge destination for people with a medical condition

Study

Place of discharge

Notes

Goldman 2014

Discharged to a residential care setting:

T = 19/347 (5.5%), C = 9/352 (2.6%)

Difference 2.9%; 95% CI − 0.04% to 6%

Kennedy 1987

At 2 weeks:
87% no change in placement from time of discharge to 2‐week follow‐up time (both groups)
At 4 weeks: majority no change (both groups)

No data shown

Legrain 2011

Discharged home or to a nursing home:

T = 183/300

C = 191/339

Lindpaintner 2013

Discharged home

T = 25/30 (83%), C = 30/30 (100%)

Difference 17%, 95% CI 2 to 34%

Moher 1992

Discharged home:
T = 111/136 (82%), C = 104/131 (79%)
Difference 2.2%; 95% CI − 7.3% to 11.7%

Naughton 1994

Discharged to nursing home:
T = 3/51 (5.9%) C = 2/60 (3.3%)
Difference 2.5%; 95% CI − 5.3% to 10.4%

Sulch 2000

Discharged home:
T = 56/76 (74%), C = 54/76 (71%)

Discharged to an institution:
T = 10/76 (13%), C = 16/76 (21%)
OR 1.5; 95% CI 0.5 to 2.8



Comparison 7: Effect of discharge planning on place of discharge, Outcome 1: Discharge destination for people with a medical condition

7.2 Discharge destination, studies recruiting people with a medical or surgical condition Show forest plot

2

Other data

No numeric data

Analysis 7.2

Discharge destination, studies recruiting people with a medical or surgical condition

Study

Place of discharge

Notes

Evans 1993

Discharged to home:
T = 330/417 (79%), C = 305/418 (73%)
P = 0.04 difference 6%; 95% CI 0.39% to 12%

Home at 9 months:
T = 259/417 (62%), C = 225/418 (54%)
P = 0.01 difference 8.3%; 95% CI 1.6% to 15%

Hendriksen 1990

Discharged to nursing home:
T = 0/135 (0%), C = 3/138 (2%)
Difference − 2%; 95% CI − 4.6% to 0.26%

At 6 months: admitted to another institution
T = 3/135 (2%), C = 14/138 (10%)
Difference ‐8%; 95% CI − 13.5% to − 2.3%



Comparison 7: Effect of discharge planning on place of discharge, Outcome 2: Discharge destination, studies recruiting people with a medical or surgical condition

PRISMA flow diagram

Figuras y tablas -
Figure 1

PRISMA flow diagram

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.

Figuras y tablas -
Figure 2

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.

Funnel plot of the effect of discharge planning on hospital length of stay

Figuras y tablas -
Figure 3

Funnel plot of the effect of discharge planning on hospital length of stay

Funnel plot of the effect of discharge planning on unscheduled readmission rates, outcome, average follow‐up within 3 months of discharge from hospital.

Figuras y tablas -
Figure 4

Funnel plot of the effect of discharge planning on unscheduled readmission rates, outcome, average follow‐up within 3 months of discharge from hospital.

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 1: Hospital length of stay ‐ older people with a medical condition

Figuras y tablas -
Analysis 1.1

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 1: Hospital length of stay ‐ older people with a medical condition

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 2: Hospital length of stay ‐ older people following surgery

Figuras y tablas -
Analysis 1.2

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 2: Hospital length of stay ‐ older people following surgery

Hospital length of stay ‐ studies recruiting people with a mix of conditions

Study

Heading 1

Evans 1993

Initial hospital length of stay

T: Mean number of days in hospital 11.9 (SD 12.7) N=417

C: Mean number of days in hospital 12.5 (SD 13.5) N=418

Hendriksen 1990

Initial hospital length of stay

T: 11 N=135

C: 14.3 N=138

Parfrey 1994

Recruited from two hospitals, reported a median difference for one hospital: − 0.80 days, P = 0.03; Intervention N=421; Control N=420

Figuras y tablas -
Analysis 1.3

Comparison 1: Effect of discharge planning on hospital length of stay, Outcome 3: Hospital length of stay ‐ studies recruiting people with a mix of conditions

Comparison 2: Effect of discharge planning on unscheduled readmission rates, Outcome 1: Average follow‐up, 3 months from discharge for the majority of studies

Figuras y tablas -
Analysis 2.1

Comparison 2: Effect of discharge planning on unscheduled readmission rates, Outcome 1: Average follow‐up, 3 months from discharge for the majority of studies

Hospital readmission rates at various follow‐up times

Study

Results 

Notes

Participants with a medical condition

Bonetti 2018

Mean hospital readmissions

T= 4 (7.8) N=51, C= 7 (13.2) (N=53)

Follow‐up: 30 days

Farris 2014

At 30 d:

T= 47/281 (17%), C = 43/294 (15%)

Difference 2%; 95% CI − 0.04% to 0.08%

At 90 d:

T= 49/281 (17%), C = 47/294 (16%)

Difference 1%; 95% CI − 5% to 8%

Gillespie 2009

At 12 months:

T= 106/182 (58.2%), C = 110/186 (59.1%)

Difference − 0.9%, 95% CI − 10.9% to 9.1%

Goldman 2014

At 30 d:

T= 50/347 (14%), C = 47/351 (13%)

Difference 1%; 95% CI − 4% to 6%

At 90 d:

I = 89/347 (26%), C = 77/351 (22%)

Difference 3.7%; 95% CI − 2.6% to 10%

Data provided by the trialists

Kennedy 1987

At 1 week:
T= 2/38 (5%), C = 8/40 (20%)
Difference − 15%; 95% CI − 29% to − 0.4%

At 8 weeks:
I = 11/39 (28%), C = 14/40 (35%)
Difference − 7%; 95% CI − 27.2% to 13.6%

Lainscak 2013

At 90 d:

COPD− related

T= 14/118 (12%), C = 33/135 (24%)

Difference 12%; 95% CI 3% to 22%

All‐cause readmission

T = 25/118 (21%), C = 43/135 (32%)

Difference 11%; 95% CI − 0.3% to 21%

Data provided by the trialists; data also available for 30− and 180− d

Laramee 2003

At 90 d:
T = 49/131 (37%), C = 46/125 (37%), P > 0.99

Readmission days:
T= 6.9 (SD 6.5), C = 9.5 (SD 9.8)

Lindpaintner 2013

Similar readmission rate to hospital for both groups at 5 and 30 days

As reported by the authors; no further data reported

T = 30, C = 30

Lisby 2019

At 30 d:

T = 22/101 (22%), C = 19/99 (19%)

Difference 3%; 95% CI ‐8.2% to 14.13

Total readmissions:

T = 0.28 (SD 0.67); C = 0.26 (SD 0.63)

Number of participants who were admitted at least once in each group

Authors also report days to first readmission, and preventable first readmission

Ascertained by chart review

T = 101, C = 99

Moher 1992

At 2 weeks:
T = 22/136 (16%), C = 18/131 (14%)
Difference 2%; 95% CI − 6% to 11%, P = 0.58

Naylor 1994

Within 45‐90 d:
T = 11/72 (15%), C = 11/70 (16%)
Difference 1%; 95% CI − 8% to 12%

Authors also report readmission data for 2‐6 weeks follow up

Nazareth 2001

At 90 d:
T = 64/164 (39%), C = 69/176 (39.2%)
Difference 0.18; 95% CI − 10.6% to 10.2%

At 180 d:
T = 38/136 (27.9%), C = 43/151 (28.4%)
Difference 0.54; 95% CI − 11 to 9.9%

Nguyen 2018

Total number of participants readmitted

T = 7/58 (12%), C = 6/68 (9%)

Difference 3%, 95% CI ‐7.99 to 14.81

Follow‐up: 90 days

Weinberger 1996

Number of readmissions per month
T = 0.19 (+ 0.4) (n = 695), C = 0.14 (+ 0.2), P = 0.005 (n = 701)

At 6 months:
T = 49%, C = 44%, P = 0.06
Treatment group readmitted 'sooner' (P = 0.07)

Non‐parametric test used to calculate P values for monthly readmissions

Participants with medical or surgical condition

Evans 1993

At 4 weeks:
T = 103/417 (24%), C = 147/418 (35%)
Difference − 10.5%; 95% CI − 16.6% to − 4.3%, P < 0.001

At 9 months:
T = 229/417 (55%), C = 254/418 (61%)
Difference − 5.8%; 95% CI −12.5% to 0.84%, P = 0.08

Participants recruited following surgery

Lin 2009

Within 3 months:

T=2/26 (7.7%), C=2/24 (8.3%)

Naylor 1994

Within 6 to 12 weeks:
T = 7/68 (10%), C = 5/66 (7%)
Difference 3%; 95% CI 7% to 13%

Participants with a mental health diagnosis

Naji 1999

At 6 months:
T = 33/168 (19.6%), C = 48/175 (27%)
Difference 7.4%; 95% CI − 1.1% to 16.7%

Mean time to readmission T = 161 d, C = 153 d

T: treatment; C: control; CI: confidence interval

Shaw 2000

At 90 d:
T = 5/51 (10%), C = 12/46 (26%)

Figuras y tablas -
Analysis 2.2

Comparison 2: Effect of discharge planning on unscheduled readmission rates, Outcome 2: Hospital readmission rates at various follow‐up times

Comparison 3: Effect of discharge planning on health status, Outcome 1: Mortality at 3 to 9 months

Figuras y tablas -
Analysis 3.1

Comparison 3: Effect of discharge planning on health status, Outcome 1: Mortality at 3 to 9 months

Mortality for trials recruiting participants with a medical condition and those recovering from surgery

Study

Mortality at 9 months

Notes

Evans 1993

T = 66/417 (16%)
C = 67/418 (16%)

Figuras y tablas -
Analysis 3.2

Comparison 3: Effect of discharge planning on health status, Outcome 2: Mortality for trials recruiting participants with a medical condition and those recovering from surgery

Patient‐reported outcomes: a medical condition

Study

Patient health outcomes

Notes

Patients with a medical condition

Cajanding 2017

MLHFQ

Mean difference (C ‐ T)

8.59 (SD 2.29), 95% CI 4.02 to 13.16

CSE

Mean difference (C ‐ T)

‐5.61 (SD 1.13), 95% CI ‐7.87 to ‐3.36

Minnesota Living With Heart Failure Questionnaire (MLHFQ): a lower score indicates less disability from symptoms

Cardiac Self‐Efficacy Questionnaire (CSE): higher scores represent higher self‐confidence

Follow‐up: 30 days

As reported by the authors, mean difference at follow‐up

T = 75, C = 68

C: control; T: treatment; SD: standard deviation

Harrison 2002

SF‐36

Baseline

Physical component

T = 28.63 (SD 9.46) N = 78
C = 28.35 (SD 9.11) N = 78

Mental component

T = 50.49 (SD 12.45) N = 78
C = 49.81 (SD 11.36) N = 78

At 12 weeks

Physical component

T = 32.05  (SD 11.81) N = 77
C = 28.31 (SD 10.0) N = 74

Mental component

T = 53.94 (SD 12.32) N = 78
C = 51.03 (SD 11.51) N = 78

MLHFQ

At 12 week follow‐up (See table 4) n, %

Worse: T = 6/79 (8), C = 22/76 (29)
Same: T = 7/79 (9), C = 10/76 (13)
Better: T = 65/79 (83), C = 44/76 (58)

SF‐36 a higher score indicates better health status

MLHFQ: a lower score indicates less disability from symptoms

T = 79, C = 76 (at 12 week follow‐up)

Kennedy 1987

Long Term Care Information System (LTCIS)
Health and functional status (also measures services required)

No data reported

T = 39, C = 41

Lainscak 2013

St. George’s Respiratory
Questionnaire (SGRQ)

Change in score from 7 to 180 days after discharge

T = 1.06 (IQR CI 8.43 to − 9.50), C = − 0.11 (IQR 8.12 to − 11.34)

Complete data available for approximately half of the participants allocated to the intervention and comparison groups

For the SGRQ, higher scores indicate more limitations; minimal clinically important difference estimated as 4 points.

T = 63, C = 72

Lisby 2019

VAS

T = 60.4 (95% CI 55.4 to 65.5), N = 76; C = 60.2 (95% CI 55.1 to 65.4), N = 81. P = 0.96

Visual Analogue Scale (0‐100, higher scores represent better perceived health)

Mean scores at 30 days post‐discharge; authors also report EQ‐5D scores for each item

T = 76, C = 81

Naylor 1994

Data aggregated for both groups. Mean Enforced Social Dependency Scale increased from 19.6 to 26.3 P < 0.01

Decline in functional status reported for all patients.

Scale measured:

  • Mental status

  • Perception of health

  • Self‐esteem

  • Affect

T = 72, C = 70

Nazareth 2001

General well‐being questionnaire: 1 = ill health, 5 = good health
At 3 months:
T = 76, mean 2.4 (SD 0.7)
C = 73, mean 2.4 (SD 0.6)

At 6 months:
T = 62, mean 2.5 (SD 0.6)
C = 61, mean 2.4 (SD 0.7)

Mean difference 0.10; 95% CI − 0.14 to 0.34

T = 62, C = 61 (at 6 months follow‐up)

Nguyen 2018

EQ‐5D‐3L

T = median 0.000 (IQR 0.000 to 0.275), C = 0.234 (IQR 0.000 to 0.379)

European Quality of Life Questionnaire – (EQ‐5D‐3L). Dimensions: mobility, self‐care, usual activities, pain/discomfort, and anxiety/depression. Each dimension has 3 levels: no problem, some problems, and extreme problems

IQR: Interquartile range

T = 79, C = 87

Follow‐up: 90 days

Changes in quality of life from baseline at the first 3 months after discharge. Data as reported by the authors, no additional data available

Preen 2005

SF‐12

Mental component score

Predischarge score:

T = 37.4 SD 5.4
C = 39.8 SD 6.1

7 d postdischarge:

T = 42.4 SD 5.6
C = 40.9 SD 5.7

Physical component score

Predischarge score:

T = 27.8 SD 4.8
C = 28.3 SD 4.7

7 d postdischarge:

T = 27.2 SD 4.5
C = 27.2 SD 4.1

Baseline N: T 91 C 98

Number at follow‐up not reported.

Rich 1995

Chronic Heart Failure Questionnaire

Total score

At baseline:

T = 72.1 (15.6), C = 74.4 (16.3) 

At 90 d:

T = 94.3 (21.3), C = 85.7 (19.0)

Change score = 22.1 (20.8), P = 0.001 

Dyspnoea

At baseline:

T = 9.0 (7.9), C = 8.1 (7.7) 

At 90 d:

T = 15.8 (12.8), C = 11.9 (10.0)

Change score 6.8 (7.9)

Fatigue

At baseline:

T = 12.9 (5.3), C = 14.1 (5.6)

At 90 d:

T = 18.3 (6.3), C = 16.8 (5.5)

Change score 5.4 (5.5) 

Emotional function

At baseline:

T = 31.9 (8.5), C = 33.3 (8.1)

At 90 d:

T = 37.4 (7.8), C = 35.2 (8.4)

Change score 5.6 (7.1)

Environmental mastery

At baseline:

T = 18.3 (5.8), C = 18.9 (4.8)

At 90 d:

T = 22.7 (4.9), C = 21.7 (4.6)

Change score 4.4 (5.3)

Treatment N = 67, Control N = 59

Chronic Heart Failure Questionnaire contains 20 questions that the patient is asked to rate on a scale 1 to 7 with a low score indicating poor quality of life

Sulch 2000

Barthel activities of daily living
Median scores

At 4 weeks:
T = 13, C = 11

At 12 weeks:
T = 15, C = 17

At 26 weeks:
T = 17, C = 17

Median change from 4 to 12 weeks: P < 0.01

Rankin score
Median score

At 4 weeks:
T = 1, C = 1

At 12 weeks:
T = 3, C = 3

At 26 weeks:
T = 3, C = 3

Hospital anxiety and depression scale
Anxiety
Median scores

At 4 weeks:
T = 5, C = 5

At 12 weeks:
T = 4, C = 4

At 26 weeks
T = 4, C = 4

Depression
Median scores

At 4 weeks:
T = 6, C = 5

At 12 weeks:
T = 5, C = 5

At 26 weeks:
T = 5, C = 5

EuroQol
At 4 weeks:
T = 41, C = 44

Median scores
At 4 weeks:
T = 41, C = 44
P = 0.10

At 12 weeks:
T = 59, C = 65
P = 0.07

At 26 weeks:
T = 63, C = 72
P < 0.005

The Barthel ADL Index covers activities of daily living; scores range from 0 to 20, with higher scores indicating better functioning.

The Rankin scale assesses activities of daily living in people who have had a stroke; it contains 7 items with scores ranging from 0 to 6. Higher scores indicating more disability.

The Hospital Anxiety and Depression Scale is a 14‐item Likert scale (0‐3); scores range from 0 to 21 for each subscale (anxiety and depression), with higher scores indicating more burden from symptoms.

The EuroQol contains 5 items; higher scores indicate better self‐perceived health status.

Baseline T = 76, C = 76

Weinberger 1996

At 1 month: no significant differences
P = 0.99

At 3 months: no significant differences
P = 0.53

SF‐36
T = 695, C = 701
No data shown

Patient report outcomes following surgery

Lin 2009

OARS Multidimensional Functional Assessment Questionnaire (Chinese version) at 3 months follow‐up

Mean (SD)

T = 16.92 (1.41)

C = 16.83 (1.71)

9 components, each component scored 0 to 2 with a total score range 0‐18.

T = 26, C = 24

 

Naylor 1994

No differences between groups reported

Decline in functional status reported for all patients.

Scale measured:

  • Mental status

  • Perception of health

  • Self‐esteem

  • Affect

T = 68, C = 66

Patients with a medical or surgical condition

Evans 1993

At 1 month: mean (SD)
T = 85.3 (21.0) n = 417
C = 86.5 (21.0) n = 418
Difference − 1.2; 95% CI − 4.05 to 1.65

Barthel score
(scale 1 to 100)

Patients with a mental health diagnosis

Naji 1999

Hospital Anxiety Depression Scale
At 1 month after discharge, median (IQR)

Anxiety
T = 11.0 (6.0, 15.0), C = 10.0 (5.0, 14.0)
Mann Whitney P = 0.413

Depression
T = 9.5 (5.0, 13.3), C = 7.0 (3.0, 11.0)
Mann Whitney P = 0.016

Behavioural and Symptom Identification Scale

Relation to self/other
T = 1.8 (1.2, 2.8), C = 1.7 (0.4, 2.7)
Mann Whitney P = 0.10 

Depression/anxiety
T = 1.7 (0.8, 2.7), C = 1.5 (0.4, 2.4)
Mann Whitney P = 0.46

Daily living/role functioning
T = 2.0 (0.9, 2.8), C = 1.8 (0.8, 2.8)
Mann Whitney P = 0.37

Impulsive/addictive behaviour
T = 0.7 (0.3, 1.6), C = 0.7 (0.1, 1.5)
Mann Whitney P = 0.89

Psychosis
T = 0.5 (0.2, 0.8), C = 0.7 (0.2, 1.0)
Mann Whitney P = 0.31

Total symptom score
T = 1.4 (0.6, 2.1), C = 1.3 (0.5, 2.1)
Mann Whitney P = 0.54

Number recruited: T=168; C=175

Figuras y tablas -
Analysis 3.3

Comparison 3: Effect of discharge planning on health status, Outcome 3: Patient‐reported outcomes: a medical condition

Satisfaction

Study

Satisfaction

Notes

Patient and care givers' satisfaction

Cajanding 2017

SF‐PSQ‐18

Mean difference (C ‐ T)

‐17.33 (SD 2.73), 95% CI ‐22.78 to ‐11.89

Short‐Form Patient Questionnaire (SF‐PSQ‐18): higher scores represent more satisfaction with medical care.

Follow‐up: 30 days

N: T = 75, C = 68

As reported by the authors, mean difference at follow‐up

Laramee 2003

Mean hospital care: T = 4.2, C = 4.0, P = 0.003

Mean hospital discharge: T = 4.3, C = 4.0, P < 0.001

Mean care instructions: T = 4.0, C = 3.4, P < 0.001

Mean recovering at home: T = 4.4, C = 3.9, P < 0.001

Mean total score: T = 4.2, C = 3.8, P < 0.001

16‐item survey, 4 subscales (hospital care, hospital discharge, care instructions, and recovering at home). Items scored 1 to 5, higher scores reflect more satisfaction.

N: T = 120, C = 100

Follow‐up: 3 months

Lindpaintner 2013

Satisfaction with discharge process

At 5 days (median and IQR)

Patients: T = 1 (0), C = 1 (1‐2)

Carers: T = 1 (0), C = 1 (1‐2)

At 30 days

Patients: T = 1 (1‐2), C = 1 (1‐2)

Carers: T = 1 (1‐2), C = 2 (1‐3)

4‐point Likert‐scale, lower scores indicate higher satisfaction

N: T = 30, C = 30

Follow‐up: 5 and 30 days

Lisby 2019

Overall satisfaction with discharge process: high or very high

T = 48/74 (65%), C = 46/71 (65%)

Difference 0%, 95% CI ‐15.24 to 15.18

Follow‐up: 30 days

Single question, Likert‐scale

Moher 1992

Satisfied with medical care:
T = 89%, C = 62%
Difference 27%; 95% CI 2% to 52%, P < 0.001

"Please rate how satisfied you were with the care you received…"

Subgroup of 40 patients, responses from 18 in the treatment group and 21 in the control group

T = 136, C = 131

Follow‐up: 2 weeks

Nazareth 2001

At 3 months:
T = 76, mean 3.3 (SD 0.6)
C = 73, mean 3.3 (SD 0.6)

At 6 months:
T = 62, mean 3.4 (SD 0.6)
C = 61, mean 3.2 (SD 0.6)
Mean difference 0.20; 95% CI − 0.56 to 0.96

Client Satisfaction Questionnaire score, 7 items (1 = dissatisfied, 4 = satisfied), higher scores indicate higher satisfaction.

Follow‐up: 3 and 6 months

Weinberger 1996

At 1 month:
Treatment group more satisfied, P < 0.001

At 6 months:
Treatment group more satisfied, P < 0.001

Authors report differences were greatest for patients' perceptions of continuity of care and non‐financial access to medical care

Patient Satisfaction Questionnaire, 11 domains with a 5‐point scale

T = 695, C = 701

Follow‐up: 1 and 6 months

Professional's satisfaction

Bolas 2004

Standard of information at discharge improved

GPs: 57% agreed

Community pharmacists: 95% agreed

Response rate of 55% (GPs) and 56% (community pharmacists)

No information provided about the survey

Lindpaintner 2013

Satisfaction with discharge process

At 5 days (median and IQR)

Primary care physician: T = 1 (1‐2), C = 2 (1‐3)

Visiting nurse: T = 1 (1‐2), C = 2 (1‐4)

At 30 days (median and IQR)

Primary care physician: T = 2 (1‐3), C = 1 (1‐2)

Number of respondents ranged between 15 (visiting nurse) and 30 (PCP)

4‐point Likert scale, lower scores indicate higher satisfaction

Figuras y tablas -
Analysis 4.1

Comparison 4: Effect of discharge planning on satisfaction with care process, Outcome 1: Satisfaction

Hospital cost

Study

Costs

Notes

Patients with a medical condition

Gillespie 2009

Total

T: USD 12000; C: USD 12500

Mean difference: − USD 400 (− USD 4000 to USD 3200)

Visits to ED

T: USD 160; C: USD 260

Mean difference: − USD 100 (− USD 220 to − USD 10)

Readmissions

T: USD 12000; C: USD 12300 Mean difference: − USD 300 (− USD 3900 to USD 3300)

Costs calculated for 2008

T = 182, C = 186

Jack 2009

Emergency department visits

T: USD 11,285 C: USD 21,389

Hospital visits

T: USD 268,942 C: USD 412,544

Follow‐up primary care appointments*

T: USD 12,617 C: USD 8906

Total cost difference between groups

USD 149,995, Mean USD 412 per participant

Follow‐up PCP appointments were given an estimated cost of USD 55, on the basis of costs from an average hospital follow‐up visit at Boston Medical Center

* For 62% of 370 intervention participants and 44% of 368 usual care participants

As reported by the authors, no further data available

T = 373, C = 376

Laramee 2003

Total inpatient and outpatient median costs
T = USD 15,979
C = USD 18,662

P = 0.14

The case manager (CM) kept a log during the first, middle and last 4 weeks of the recruitment period of how much time was spent with each patient during the 12‐week study period. Thus,
the average cost of the intervention was calculated based on an hourly wage (including benefits) of USD 33.93 for the CM. The average intervention cost per patient was USD 228.52, and the average time spent with each intervention patient was 6.7 h per 12 weeks.

T = 141, C = 146

Naughton 1994

Number:
T = 51, C = 60
Total cost of hospital care including breakdown of costs for laboratory, diagnostic imaging, pharmacy and rehabilitation services

Naylor 1994

Initial stay mean charges (USD):
T = 24,352 ± 15,920 (n = 72)
C = 23,810 ± 18,449 (n = 70)
Difference 542 (CI − 5121 to 6205)

Medical readmission total charges in USD (CIs are in thousands):

At 2 weeks:
T = 68,754
C = 239,002
Difference = − 170,247 (CI − 253 to − 87)

2‐6 weeks:
T = 52,384
C = 189,892
Difference = − 137,508 (CI − 210 to − 67)

6‐12 weeks:
T = 471,456
C = 340,496
Difference = 130,960 (CI − 205 to 467)

Charge data were used to calculate the cost of the initial hospitalisation

Readmission costs were calculated using the mean charge per day of the index hospitalisations times the actual number of days of subsequent hospitalisations, as patients were readmitted to a variety of hospitals with a wide range of charges

Total charges including readmission charges (first readmission only if multiple readmissions)

T = 140, C = 136

Rich 1995

Intervention cost

USD 216 per patient

Caregiver cost

T = USD 1164, C = USD 828
Difference USD 336

Other medical care

T = USD 1257, C = USD 1211
Difference USD 46

Readmission costs

T = USD 2178, C = USD 3236
Difference − USD 1058

All costs

T = USD 4815, C = USD 5275
Difference − USD 460

T = 142, C = 140

Patients with a surgical condition

Naylor 1994

Surgical initial stay mean charges (USD):
T = 105,936 ± 52,356 (n = 68)
C = 98,640 ± 52,331 (n = 66)
Difference 7296 (CI − 5141 to 19,733)

Charge data were used to calculate the cost of the initial hospitalisation

Figuras y tablas -
Analysis 5.1

Comparison 5: Effect of discharge planning on hospital resource use and cost, Outcome 1: Hospital cost

Primary and community care resource use and cost

Study

Use of services

Notes

Farris 2014

Unscheduled office visits

At 30 d

T = 31/281 (11%), C = 32/294 (11%)

Difference 0%; 95% CI − 5% to 5%

At 90 d

T = 42/281 (15%), C = 33/294 (11%)

Difference 4%; 95% CI − 2 to 9%

Results for Enhanced vs Control intervention (results for minimal intervention not reported)

Goldman 2014

Primary care visits at 30 d

T = 189/301 (62.8%), C = 186/316 (58.9%)

Difference 4%; 95% CI − 3.7% to 11.5%

Laramee 2003

Visiting Nurse postdischarge:
T = 70/141(50%), Control: 64/146 (44%)

Lisby 2019

General practitioner contacts

T = mean 3.6 (SD 2.3), C = mean 3.5 (SD 2.5)

After‐hours visits

T = mean 1.6 (SD 0.8), C = mean 1.9 (SD 1.7)

Follow‐up: 30 days

Ascertained by chart review

T = 86, C = 93

SD: standard deviation

Nazareth 2001

General practice attendance:

At 3 months:
T = 101/130 (77.7%)
C = 108/144 (75%)
Difference 2.7%; 95% CI − 7.4 to 12.7%

At 6 months:
T = 76/107 (71%)
C = 82/116 (70.7%)
Difference 0.3%; 95% CI −11.6 to 12.3%

Weinberger 1996

Median time from hospital discharge to the first visit:
Treatment 7 d
Control 13 d
P < 0.001

Visit at least one general medicine clinic in 6‐month follow up:
Treatment 646/695 (93%)
Control 540/701 (77%)
Difference 16%; 95% CI 12.3% to 19.6%, P < 0.001

Mean number of visits to general medical clinic:
Treatment 3.7
Control 2.2
P < 0.001

Figuras y tablas -
Analysis 5.2

Comparison 5: Effect of discharge planning on hospital resource use and cost, Outcome 2: Primary and community care resource use and cost

Problems with medication after discharge from hospital

Study

Results

Notes

Bolas 2004

Intervention group demonstrated a higher rate of reconciliation of patient's own drugs with the discharge prescription; 90% compared to the 44% in the control group

T = 119, C = 124

Bonetti 2018

Number of medication problems per participant

T = M 1 (SD 1.5), C = M 4 (SD 4.2)

Difference 3, 95% CI 1.8 to 4.2

Follow‐up: 30 days

Reviewed by a pharmacist

T = 51, C = 51

M: mean, SD: standard error

Eggink 2010

Following a review of medication by a pharmacist, 68% in the control group had at least one discrepancy or medication error compared to 39% in the intervention group (RR 0.57; 95% CI 0.37 to 0.88). The percent of medications with a discrepancy or error in the intervention group was 6.1% in intervention group and 14.6% in the control group (RR = 0.42; 0.27 to 0.66).

T = 41, C = 44

Follow‐up: 6 weeks

Reviewed by a pharmacist

Farris 2014

Discharge

T = 7.1 (SD 7.0), C = 6.1 (SD 6.6)

30 days post‐discharge

T = 10.1 (SD 8.9), C = 9.6 (SD 9.5)

P = 0.78

90 days post‐discharge

T = 11.6 (SD 10.5), C = 11.1 (11.3)

P = 0.94

T=307, C=309 at 30 day follow‐up

As measured by the medication appropriateness index (MAI); summed MAI per participant

Results for Enhanced v Control intervention (results for minimal intervention not reported)

Kripalani 2012

Clinically important medication errors (total number of events; could be more than one per patient)

At 30 d

T = 370/423, M = 0.87 (SD 1.18)

C = 407/428, M = 0.95 (SD 1.36)

Follow‐up: 30 days

Shaw 2000

Mean number of problems (SD)

At 1 week:
T = 2.0 (1.3), C = 2.5 (1.6)

At 4 weeks:
T = 1.9 (1.5), C = 2.9 (1.8)

At 12 weeks:
T = 1.4 (1.2), C = 2.4 (1.6)

Difference 1, 95% CI 0.4 to 1.6

Problems included difficulty obtaining a prescription from the GP; insufficient knowledge about medication; non‐compliance

T = 51, C = 46

Figuras y tablas -
Analysis 6.1

Comparison 6: Effect of discharge planning on medication use, Outcome 1: Problems with medication after discharge from hospital

Adherence to medicines

Study

Adherence to medicines

Notes

Bonetti 2018

Total MedTake

T = mean 92.1 (SD 9.9), C = 58.5 (SD 31.9)

ARMS

T = mean 13 (SD 2), C = 15 (SD 4)

Total MedTake: drug‐taking procedures for oral prescriptions; evaluates dosage, indications, food or water co‐ingestion, and regimens. Score corresponds to the percentage of correct actions (0%: zero adherence; 100%: total adherence)

Adherence to Refils and Medications Scale (ARMS): medication adherence scale for patients with chronic medical conditions; 14 items, scores range between 12 and 48, higher scores reflect lower adherence.

Self‐reported

T: 49, C: 49

Follow‐up 30 days

T: treatment; C: control; SD: standard deviation

Nazareth 2001

At 3 months:
T = 79, mean 0.75 (SD 0.3), C = 72 mean 0.75 (SD 0.28)

At 6 months:
T = 60, mean 0.78 (SD 0.30), C = 58 mean 0.78 (SD 0.30)

0 = none
1 = total/highest level

Nguyen 2018

Participants assessed as adhering to their medication

T = 53/70 (76%), C = 52/80 (65%)

Absolute difference 11%, 95% ‐5.9 to 26.00)

Follow‐up: 3 months

Morisky Medication Adherence Scale (MMAS‐8): 8‐item questionnaire (items 1‐7 are dichotomous, last item is a Likert‐ale). for identification of barriers and behaviours associated with medication adherence.

Rich 1995

Taking 80% or more of prescribed pills at 30 d after discharge

T = 117/142 (82.5%), C = 91/140  (64.9%)

Figuras y tablas -
Analysis 6.2

Comparison 6: Effect of discharge planning on medication use, Outcome 2: Adherence to medicines

Knowledge about medicines

Study

Knowledge

Notes

Bolas 2004

Mean error rate in knowledge of drug therapy at 10‐14 d follow up

Drug name T = 15%, C = 43%, P < 0.001

Drug dose T = 14%, C = 39%, P < 0.001

Frequency T = 15%, C = 39%, P < 0.001

(n for each group not reported)

Nazareth 2001

At 3 months:
T = 86, mean 0.69 (SD 0.33)
C = 83, mean 0.62 (SD 0.34)

At 6 months:
T = 65, mean 0.69 (SD 0.35)
C = 68, mean 0.68 (SD 0.30)
Mean difference 0.01; 95% CI − 0.12 to 0.13

0 = none
1 = total/highest level

Shaw 2000

At 1 and 12 weeks post‐discharge:

Significant improvement in knowledge medication for both groups (no differences between groups)

Figuras y tablas -
Analysis 6.3

Comparison 6: Effect of discharge planning on medication use, Outcome 3: Knowledge about medicines

Discharge destination for people with a medical condition

Study

Place of discharge

Notes

Goldman 2014

Discharged to a residential care setting:

T = 19/347 (5.5%), C = 9/352 (2.6%)

Difference 2.9%; 95% CI − 0.04% to 6%

Kennedy 1987

At 2 weeks:
87% no change in placement from time of discharge to 2‐week follow‐up time (both groups)
At 4 weeks: majority no change (both groups)

No data shown

Legrain 2011

Discharged home or to a nursing home:

T = 183/300

C = 191/339

Lindpaintner 2013

Discharged home

T = 25/30 (83%), C = 30/30 (100%)

Difference 17%, 95% CI 2 to 34%

Moher 1992

Discharged home:
T = 111/136 (82%), C = 104/131 (79%)
Difference 2.2%; 95% CI − 7.3% to 11.7%

Naughton 1994

Discharged to nursing home:
T = 3/51 (5.9%) C = 2/60 (3.3%)
Difference 2.5%; 95% CI − 5.3% to 10.4%

Sulch 2000

Discharged home:
T = 56/76 (74%), C = 54/76 (71%)

Discharged to an institution:
T = 10/76 (13%), C = 16/76 (21%)
OR 1.5; 95% CI 0.5 to 2.8

Figuras y tablas -
Analysis 7.1

Comparison 7: Effect of discharge planning on place of discharge, Outcome 1: Discharge destination for people with a medical condition

Discharge destination, studies recruiting people with a medical or surgical condition

Study

Place of discharge

Notes

Evans 1993

Discharged to home:
T = 330/417 (79%), C = 305/418 (73%)
P = 0.04 difference 6%; 95% CI 0.39% to 12%

Home at 9 months:
T = 259/417 (62%), C = 225/418 (54%)
P = 0.01 difference 8.3%; 95% CI 1.6% to 15%

Hendriksen 1990

Discharged to nursing home:
T = 0/135 (0%), C = 3/138 (2%)
Difference − 2%; 95% CI − 4.6% to 0.26%

At 6 months: admitted to another institution
T = 3/135 (2%), C = 14/138 (10%)
Difference ‐8%; 95% CI − 13.5% to − 2.3%

Figuras y tablas -
Analysis 7.2

Comparison 7: Effect of discharge planning on place of discharge, Outcome 2: Discharge destination, studies recruiting people with a medical or surgical condition

Summary of findings 1. Effect of discharge planning on patients admitted to hospital

Effect of discharge planning on patients admitted to hospital

Patient or population: patients admitted to hospital with a medical condition (27 trials), with a mix of medical and surgical conditions (4 trials), following a fall (1 trial), with a psychiatric diagnosis (2 trials), with a mix of mental health and medical diagnosis.
Settings: hospital; North America (16 trials), Europe (13 trials), Asia (4 trials), South America (1 trial), Oceania (1 trial)
Intervention: discharge planning

Comparison: usual care, mostly with some discharge planning but without a formal link through a coordinator to other departments and services
 

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No. of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Without discharge planning

With discharge planning

Hospital length of stay
Follow‐up: 3 to 6 months

Study population admitted with a medical condition

 

 

(MD ‐0.73, 95% CI ‐1.33 to ‐0.12)

 

 

 

 

2113
(11 trials)
 

 

 

 

 

 

⊕⊕⊕⊝
moderateb

Gillespie 2009Harrison 2002Laramee 2003Lindpaintner 2013Moher 1992Naughton 1994Naylor 1994Preen 2005Rich 1993Rich 1995Sulch 2000

The mean hospital length of stay ranged across control groups from
5.2 to 12.4 daysa

The mean hospital length of stay in the intervention groups was
0.73 lower
(95% CI 1.33 to ‐0.12 lower)

Unscheduled readmission

 

Follow‐up: 2 weeks to 6 months

Study population admitted with a medical condition

RR 0.89
(0.81 to 0.97)

5126
(17 trials)

⊕⊕⊕⊝
moderateb

Balaban 2008Bonetti 2018Farris 2014Goldman 2014Harrison 2002Jack 2009Kennedy 1987Lainscak 2013Laramee 2003Legrain 2011Lisby 2019Moher 1992Naylor 1994Nazareth 2001Nguyen 2018Rich 1993Rich 1995

271 per 1,000

242 per 1000
(200 to 263)

Patient health status

Mortality (follow‐up 3 to 9 months)

110 per 1,000

115 per 1,000

RR 1.05 (0.85 to 1.29)

2721 (8 studies)

⊕⊕⊕⊝b

moderate

Goldman 2014Lainscak 2013Laramee 2003Legrain 2011Nazareth 2001Nguyen 2018Rich 1995Sulch 2000

Functional status and psychological health (follow‐up 1 to 6 months)

Most studies reported little or no differences between groups for general and disease‐specific health‐related quality of life (Harrison 2002Kennedy 1987Lainscak 2013Lisby 2019Naylor 1994Nazareth 2001Nguyen 2018Preen 2005Weinberger 1996; measured with EQ‐5D‐3L, LTCIS, SF‐12, SF‐36, VAS).

Two studies that recruited participants with heart failure reported less disability (MLHFQ; MD 8.59, 95% CI 4.02 to 13.16; Cajanding 2017) and better quality of life (CHFQ; MD 22.1, SD 20.8; Rich 1995) for those allocated to the intervention. Sulch 2000 recruited participants recovering from a stroke and reported that those allocated to the intervention scored worse on activities of daily living and quality of life (EQ‐5D), with little or no difference between groups for stroke‐related disability (Rankin score) and anxiety and depression symptoms (HADS).

2927 (12 studies)

⊕⊕⊝⊝

lowc

 

Satisfaction of patients, care givers and healthcare professionals

 

Follow‐up: 2 weeks to 6 months

 

Measured with PSQ, SF‐PSQ‐18, in‐house developed questions

Four studies reported an increased level of satisfaction for participants allocated to the intervention group (Cajanding 2017Laramee 2003Moher 1992Weinberger 1996), and three little or no difference (Nazareth 2001; (Lindpaintner 2013Lisby 2019). One small study reported that care givers of participants allocated to the intervention group were more satisfied with the discharge process, and little or no difference for healthcare professionals (Lindpaintner 2013).

756 participants when reported (8 trials)

⊕⊝⊝⊝

very lowd

Satisfaction was measured in different ways (SF‐PSQ‐18 Short‐Form Patient Questionnaire, PSQ Patient Satisfaction Questionnaire) and findings were not consistent across studies; 8/35 studies reported data for this outcome.

Healthcare resource use and costs

Eleven trials reported findings on an aspect of cost to the health service, it is uncertain whether there is a difference in hospital, primary or community care costs when discharge planning is implemented for patients with a medical condition (Farris 2014Gillespie 2009Goldman 2014Jack 2009Laramee 2003Lisby 2019Naughton 1994Nazareth 2001Rich 1995Weinberger 1996), or who are in hospital for surgery (Naylor 1994).

 

5220 participants (11 trials)

⊕⊝⊝⊝

very lowd

Healthcare resources that were costed and charges varied among trials.

*The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CHFQ: Chronic Heart Failure Questionnaire; CI: Confidence interval;EQ‐5D: European Quality of Life Questionnaire; HADS: Hospital Anxiety and Depression scale; LTCIS: Long Term Care Information System; MD: Mean difference; MLHFQ: Minnesota Living With Heart Failure Questionnaire; RR: Risk ratio; SF: Short Form Survey; VAS: Visual Analogue Scale.

GRADE Working Group grades of evidence
High:This research provides a very good indication of the likely effect. The likelihood that the effect will be substantially different (i.e., large enough to affect a decision) is low.
Moderate: This research provides a good indication of the likely effect. The likelihood that the effect will be substantially different is moderate.
Low: This research provides some indication of the likely effect. However, the likelihood that it will be substantially different is high.
Very low: This research does not provide a reliable indication of the likely effect. The likelihood that the effect will be substantially different is very high.

a The range excludes length of stay of 45 days reported by Sulch, due to recruiting participants who were recovering from a stroke and had a longer length of stay.

b We downgraded the evidence to moderate due to imprecision

c We downgraded the evidence to low due to concerns about inconsistency and imprecision

d We downgraded the evidence to very low due to very serious inconsistency and imprecision

Figuras y tablas -
Summary of findings 1. Effect of discharge planning on patients admitted to hospital
Table 1. Intervention characteristics

Study ID

Components of the assessment and implementation of the discharge plan

Aim, focus and content of the discharge plan

Follow‐up as part of the discharge planning intervention

Control group care

Balaban 2008

Discharge planning lead: discharge planner registered nurse

Timing of discharge plan: enrolled at admission to hospital

Education:a patient discharge form for the patient that included information about the patient's health problem/diagnosis, medications, and follow‐up care

Implementation of the discharge plan: discharge form was sent electronically to the primary care team to become part of the permanent medical records.

A discharge plan to improve communication between inpatient and outpatient care teams abd to reconnect patients who lived at home with their primary care team, using a structure‐process‐outcome approach. The intervention was structured for a culturally diverse population.

Telephone call: the day after discharge from hospital, from the primary care nurse

No communication between hospital and primary care nurse, handwritten discharge instruction in English, communication with hospital and primary care physician as required.

Bolas 2004

Discharge planning lead: one full‐time clinical pharmacist clinical pharmacy service

Timing of discharge plan: within 48 hours of admission to hospital

Education: patient counselling to explain changes to medication

Implementation of the discharge plan: daily contact with the patient to explain changes to treatement, medication history, personalised medication record, discharge letter outlining drug history and changes to medication during hospital and variances to discharge prescription. This was faxed to GP and community pharmacist. Personalised medicine card, discharge counselling, labelling of dispensed medications under the same headings for follow‐up.

A hospital based community liaison pharmacist to improve the management of medicines and communication between secondary and primary care during transition from secondary to primary care.

Medicines help line

Standard clinical pharmacy service that did not include discharge counselling

Bonnetti 2018

Discharge planning lead: pharmacist‐led medication counselling

Timing of discharge plan: recruited when admitted to hospital, review of discharge medications

Education: verbal counseling was delivered by the pharmacists to patients or their caregivers, which included explanations about the indications, benefits, therapeutic targets, doses, dosing schedule, routes, storage, length of therapy, refill pharmacy, and possible ADEs of each prescribed drug.

Implementation of the discharge plan: All pharmacist interventions followed a structured format.

A pharmacist led review of medicines to improve communication about medicines during transition from hospital.

Patients were contacted by telephone three and 15 days post‐discharge to reinforce the previous counseling session.

Standard care from pharmacists and other healthcare providers

Cajanding 2017

Discharge planning lead: cardiovascular nurse practitioner led structured discharge plan

Timing of patient involvement with the discharge plan: the second day of a hospital admission

Education: individualized lecture type discussion, provision of feedback, integrative problem solving, goal setting, and action planning at 3 consecutive daily sessions lasting between 30 to 45 minutes

Implementation of the discharge plan: a structured programme based from the guidelines set by the American Heart Association, the National Heart Foundation of Australia, and the Philippine Heart Association.

A nurse led structured discharge programme to improve the quality of care and support the transition from hospital to home

Telephone at 3 and 15 days for the intervention group

Usual care based on the Philippine Heart Association clinical practice guidelines

Eggink 2010

Discharge planning lead: clinical pharmicist

Timing of patient involvement with the discharge plan: at discharge

Education: none

Implementation of the discharge plan: verbal and written information about (side) effects of, and changes in, their in hospital drug therapy from a clinical pharmacist upon hospital discharge and the discharge medication list was faxed to the community pharmacist, a copy was provide to the patient to give to the GP.

A multifaceted clinical pharmacist discharge service on the number of medications discrepancies after discharge, recruited participants had 5 + medicines prescribed

Not reported

Usual care

Evans 1993

Discharge planning lead: not clear

Timing of patient involvement with the discharge plan: recruited patients screened at admission for risk of adverse hospital outcome and to minimise inappropriate referrals to discharge planning; discharge planning implemented on day 3 of hospital admission

Education: not reported

Implementation of the discharge plan: referred to a social worker, assessment of support systems, living situation, finances and areas of need. Plans were implemented with measurable goals.

General discharge plan

Not reported

Could be referred for discharge planning, usually on day 9 of admission

Farris 2014

Discharge planning lead: pharmacist case manager

Timing of patient involvement with the discharge plan: day 2 or 3 of admission

Education: medication counselling to improve medication adherence, every 2 to 3 days, and discharge counselling

Implementation of the discharge plan: a discharge medication list and counselling on goals of treatment, medication and barriers to adherence. Primary care provider and community pharmacist received a copy of the discharge plan within 24 hours of discharge and usually within 6 hours, it included the discharge medication list, plans for dosage adjustments and monitoring, recommendations for preventing adverse drug events, with patient specific concerns such as adherence or cost issues highlighted.

To improve medication related outcomes during transitions of care

Telephone call 3 to 5 days post‐discharge

Usual care was medication reconciliation at admission according to hospital policy, nurse discharge counseling and a discharge medication list for patients. The usual care discharge summary was transcribed and received in the mail by the primary

Gillespie 2009

Discharge planning lead: clinical pharmicists

Timing of involvement with the discharge plan: at admission

Education: education provided during the hospital admission, a review of medicines and discharge counselling

Implementation of discharge plan: medicine review, patient provided with a copy of the discharge letter. The pharmacist provided a comprehensive account of all changes in drug therapy during the hospital stay, including the rationale behind medication decisions, monitoring needs, and expected therapeutic goals. Drug related problems were listed with suggested actions. The physician responsible for the patient on the ward was required to approve the contents of the pharmacist’s discharge letter before it was sent to the patient’s general practitioner with the original discharge letter. The pharmacists’ discharge letters were not given to the patients.

To reduce drug related problems, increase patient safety and reduce use of hospital care in people aged 80 years and older

Telephone call 2 months post‐discharge to assess the management of medicines

Standard care from nurse or physician, pharmacist not involved

Goldman 2014

Discharge planning lead: registered nurse, included native Spanish and Chinese speakers

Timing of involvement with the discharge plan: patients who had been admitted in the previous 24 hours were seen by the discharge planning registered nurse

Education: disease‐specific patient education that included symptom recognition, medication reconciliation and strategies to navigate the health system. Motivational interviewing techniques and coaching to promote patient engagement. A study RN supplemented verbal instructions with language‐concordant written materials (30). A study RN reinforced teaching using the “teach‐back” method to ensure comprehension (31)

Implementation of discharge plan: the discharge planning study registered nurse met with the patient and contacted the patients’ primary care providers to supply the inpatient physicians’ contact information.

A discharge planning nurse led intervention to facilitate the transition from hospital to home

Study nurse practitioners visited patients within 24 hours of discharge, and called patients on days 1 to 3 and 6 to 10 after discharge.

The bedside RN's review of the discharge instructions, received by all patients. If requested by the medical team, the hospital pharmacy provided a 10 day medication supply and a social worker assisted with discharge. The admitting team was responsible for liaising with the patients' PC

Harrison 2002

Discharge planning lead: nurse led

Timing of involvement with the discharge plan: within 24 hours of

Education: a structured evidence based protocol for counselling and education to support heart failure self‐management

Implementation of discharge plan: comprehensive discharge plan, hospital and community nurse liaison, standard discharge planning + a comprehensive program that added support to improve the transfer from hospital to home. Hospital and community nurses met to focus on the ‘outreach’ from the hospital and ‘in‐reach’ from the community during the transition. An inter‐sectoral continuity of care framework was used to identify gaps to specifically address 3 major aspects of a hospital‐to‐home transition: (1) supportive care for self‐management; (2) linkages between hospital and home nurses and patients; and (3) the balance of care between the patient and family and professional providers

A nurse led discharge plan to improve the transition between hospital settings.

Telephone call within 24 hours of discharge

Usual home care visits, available to intervention group

Hendriksen 1990

Discharge planning lead: project nurse

Timing of involvement with the discharge plan: at the time of admission

Education: health condition and discharge arrangements

Implementation of the discharge plan: patients had daily contact with the project nurse who discussed their illness with them and discharge arrangements; liaison between hospital and primary care staff.

A co‐ordinated transfer from hospital to home for older people.

Project nurse, a maximum of two visits after discharge

Usual care

Jack 2009

Discharge planning lead: nurse discharge advocate (DA)

Timing of involvement with the discharge plan:

Education: the DA used scripts from the training manual to review the contents of an after hospital care plan with the patient.

Implementation of the discharge plan: with information collected from the hospital team and the participant, the DA created the after‐hospital care plan (AHCP), which contained medical provider contact information, dates for appointments and tests, an appointment calendar, a colour‐coded medication schedule, a list of tests with pending results at discharge, an illustrated description of the discharge diagnosis, and information about what to do if a problem arises. Information for the AHCP was manually entered into a Microsoft Word template, printed, and spiral‐bound to produce an individualised, colour booklet. On the day of discharge the AHCP and discharge summary were faxed to the primary care provider.

Reengineered hospital discharge to minimize hospital utilisation after discharge.

A clinical pharmacist telephoned the participants 2‐4 days after the index discharge to reinforce the discharge plan by using a scripted interview. The pharmacist had access to the AHCP and hospital discharge summary and, over several days, made at least 3 attempts to reach each participant. The pharmacist asked participants to bring their medications to the telephone to review them and address medication‐related problems; the pharmacist communicated these issues to the PCP or DA

Usual care.

Kennedy 1987

Discharge planning lead: gerontology clinical nurse specialist (GCNS)

Timing of involvement with the discharge plan: during the hospital admission

Education: focused on explaining and clarifying the discharge plan

Implementation of the discharge plan: a comprehensive discharge planning protocol (CDPP) was developed for use by the Gerontological Clinical Nurse Specialist (GCNS). Components of the assessment included: health status, orientation level, knowledge and perception of health status, resource use pattern, functional status, skill level, motivation level, and sociodemographic data. The patient's level of dependency was measured using the Long‐Term Care Information System (LTCIS). The GCNS met with the patient and family, physician, and other health care providers to identify resources and support networks for the patient postdischarge. A summary of the assessment information and potential care needs were entered in the progress notes of the patient's chart.The GCNS assisted in the coordination of services.

A comprehensive discharge planning protocol to improve the health delivered to older people in hospital.

One follow‐up visit to assess the arrangements and care delivered.

Discharge arranged by the primary nurse.

Kripalani 2012

Discharge planning lead: a pharmacist

TIming of patient involvement with the discharge plan: at enrolment to the study during a patients admission to hospital

Education: one or two counselling sessions to the patient by the pharmacist, that accounted for the patient's health literacy and aimed to support adherence and minimize adverse effects. Pharmacists used 'teach‐back' to confirm understanding.

Implementation of the discharge plan: pharmacist assisted medication reconciliation, tailored inpatient counselling, provision of low‐literacy adherence aids. The pharmacists communicated with the treating physicians to resolve any clinically relevant, unintentional medication discrepancies.

A tailored intervention to reduce medication errors at and after hospital discharge.

Telephone follow‐up after discharge by a research coordinator, follow‐up call by a pharmacist to address any issues in collaboration with the treating inpatient and outpatient physicians.

Medicine reconciliation and discharge counselling

Lainscak 2013

Discharge planning lead: a discharge co‐ordinator

Timing of patient involvement with the discharge plan: within 48 hours of admission to hospital

Education: yes

Implementation of the discharge plan: the discharge coordinator assessed the patient situation and home care needs to identify any problems and specific needs. Patients and caregivers were actively involved in the discharge planning process, which was communicated and discussed with community care/home care nurse, general practitioner, social care worker, physiotherapist, and other providers of home services as appropriate to provide continuity of care and care coordination across different levels of health care.

To coordinate discharge from hospital to post‐discharge care to reduce hospitalizations.

Discharge coordinator called the patient 48 hours after discharge to check adjustment to home environment and additional needs, phone calls continued up to 7 to 10 days after discharge when a home visit was scheduled.

Usual care, routine patient education with written and verbal information about COPD, supervise inhaler use, respiratory physiotherapy as indicated, and disease related communication between medical staff with patients and their caregivers

Laramee 2003

Discharge planning lead: heart failure nurse case manager

Timing of patient involvement with the discharge plan: during admission

Education: a 15 page booked on heart failure to support self‐management. Individualised and family education.

Implementation of the discharge plan: early discharge planning and coordination of care; facilitated communication between the hospital team and the patient, involved the patient and family in developing a care plan; review and monitoring of medicines and appropriate recommendations.

Hospital based nurse led case management to co‐ordinate care and reduce hospital utilization.

12 weeks of telephone follow‐up

Usual care

Legrain 2011

Discharge planning lead: a dedicated geriatrician

Timing of patient involvement with the discharge plan: during admission

Education: education on self‐management of disease

Implementation of the discharge plan: comprehensive chronic medication review according to geriatric prescribing principles, and detailed transition‐of care‐communication with outpatient health professionals.

To co‐ordinate a patient centred mult‐modal comprehensive discharge plan for older people to reduce preventable readmission, depression and protein‐energy malnutrition.

Not reported

Usual care in an acute geriatrician unit

Lin 2009

Discharge planning lead: nurse led

Timing of patient involvement with the discharge plan: during the hospital admission

Education: not reported

Implementation of the discharge plan: structured assessment of discharge planning needs, systematic individualised nursing instruction based on the patient’s individual needs, monitoring services and coordinated resources and arranging of referral placements for each patient.

To improve discharge planning to meet care needs after discharge for older people admitted to hospital with a hip fracture.

Two home visits post‐discharge to provide support and consultation

Unstructured discharge instructions without following a standardised procedure

Lindpainter 2013

Discharge planning lead: nurse

Timing of patient involvement with the discharge plan: during admission

Education: yes

Implementation of the discharge plan: included discharge diagnoses, medication, and plans for follow‐up and home care sent on the day of discharge by to the primary care physician and the local visiting nurse organization. This discharge fax supplemented the hospital discharge summary generated as usual by the staff physician in both the intervention and control groups.

To co‐ordinate care to reduce adverse events and cost

Telephone access via a pager and home visit if required

Standard discharge fax to primary care

Lisby 2019

Discharge planning lead: nurse

Timing of patient involvement with the discharge plan:

Education: included assessment of patients' understanding of their discharge recommendations that included medicines

Implementation of the discharge plan: an assessment of the patient’s overall situation and requirement for additional healthcare and help, a review of medicines, their comprehension of discharge recommendations, a simple discharge letter targeting the individual patient’s health literacy and a follow‐up telephone call.

To co‐ordinate care to increase post‐discharge safety and reduce readmissions.

Two week post‐discharge telephone call

Standard discharge letter provided to the primary care physician, the patient sometimes received a copy.

Moher 1992

Discharge planning lead: a nurse

Timing of patient involvement with the discharge plan: shortly after admission to clinical unit.

Education: not reported

Implementation of the discharge plan: by a nurse co‐ordinator.

To co‐ordinate and facilitate a discharge plan, tests and procedures, liaise with members of the clinical team and to collect and collate patient information.

Not included

Standard care

Naji 1999

Discharge planning lead: Psychiatrist

Time of patient involvement with the discharge plan: ‐
Education: ‐

Implementation of the discharge plan: psychiatrist telephoned GP to discuss patient and make an appointment for the patient to see the GP within 1 week following discharge. A copy of the discharge summary was given to the patient to hand‐deliver to the GP and a copy was posted to the GP.

To optimise communication between secondary and primary care at the time of discharge.

Not included

A standard discharge summary

Naughton 1994

Discharge planning lead: nurse

Timing of discharge plan: at admission

Education: yes

Implementation of discharge plan: implemented at the time of admission; team meetings with the GEM and nurse specialist and physical therapist took place twice a week to discuss patients' medical condition, living situation, family and social supports, and patient and family's understanding of the patient's condition. The social worker was responsible for identifying and co‐ordinating community resources and ensuring the post‐discharge care was in place at the time of discharge and 2 weeks later. The nurse specialist co‐ordinated the transfer to home healthcare. Patients who did not have a primary care provider received outpatient care at the hospital.

To build on geriatric management through a care plan that included co‐ordination of post‐discharge care.

Routine follow‐up that was not part of the discharge plan

Standard care

Naylor 1994

Discharge planning lead: nurse

Timing of discharge plan: at admission

Education: yes

Implementation of discharge plan: 1) comprehensive initial and ongoing assessment of the discharge planning needs of the elderly patient and his or her caregiver; 2) development of a discharge plan in collaboration with the patient, caregiver, physician, primary nurse, and other members of the health care team; 3) validation of patient and caregiver education; 4) coordination of the discharge plan throughout the patient's hospitalization and through 2 weeks after discharge; 5) interdisciplinary communication regarding discharge status; and 6) ongoing evaluation of the effectiveness of the discharge plan.

Timely discharge and facilitate post‐discharge care.

Telephone advise was available for up to two weeks after discharge and the nurse initiated two telephone calls during the first 2 weeks after discharge.

Routine discharge plan that was used for all patients

Nazareth 2001

Discharge planning lead: hospital and community pharmacists offered an integrated discharge plan.

Timing of discharge plan: not clear.

Education: the hospital pharmacist provided patients with information on their medicines and liaised with their carers and community professionals when appropriate, counselled patients and their caregivers on the purpose of the medicines, doses and how to dispose of excess medicines and provided carers and health professionals with a copy of the discharge plan.

Implementation of discharge plan: Medication review and counselling, the hospital pharmacist assessed the patient's medication and the ability of the patient to manage their medication, provided medicine aids such as large print and special labels.

Co‐ordination by hospital and community pharmacists to improve care of older people who are prescribed four or more drugs and optimise communication between primary and secondary care professionals

A pharmacist visited the patient at home two weeks after discharge from hospital to review medicines.

Standard discharge letter with diagnosis, investigations and medication, this did not include a review of medicines or a post‐discharge follow‐up visit.

Nguyen 2018

Discharge planning lead: hospital pharmacist

TIming of discharge plan: one week before discharge

Education: advise on their condition (acute coronary syndrome), risk factors, prevention; experience of medicines, medication aids, teaching back and correcting misunderstandings.

Implementation of the discharge plan: Medication review and counselling, a multi‐faceted intervention of two counselling sessions to assess patients knowledge of their condition (acute coronary syndrome).

A multi‐faceted intervention to enhance medication adherence, and reduce mortality and hospital readmission

Two weeks after discharge a 30 minute telephone call by a pharmacist to assess general and medication issues, provide tailored advice, teaching back and correcting misunderstanding

Standard care

Parfrey 1994

Discharge planning lead: member of the multi‐disciplinary team

Timing of discharge plan: at admission

Education:

Implementaiton of the discharge plan: a 1‐page, 65‐item questionnaire was used to identify patients for early discharge planning.

Early identification of patients for dicharge planning to reduce hospital length of stay

No

Standard discharge arrangements

Preen 2005

Discharge planning lead: multidisciplinary discharge care planning with primary care providers

Timing of discharge plan: 24‐48 hours prior to discharge

Education: patients were involved in identifying problems and goals

Implementation of the discharge plan: problems and goals identified with the patient and carer, community service providers were identified who met patient needs and who were accessible.The discharge plan was faxed to the GP and all service providers identified on the care plan.

A discharge care planning model to provide quality discharge arrangements and facilitate continuity of care and communication between the hospital and primary care physician

GP scheduled a consultation (within 7 d postdischarge) for patient review

Standard care that included a discharge summary provide to the patients and GP

Rich 1993

Discharge planning lead: cardiovascular specialist nurse

Timing of discharge plan: early in the hospital admission

Education: education about heart failure, treatment plan, diet and medicines using a 5 page guide

Implementation of the discharge plan: review of medicines with recommendations to support compliance and reduce adverse effects, early discharge planning, review by social worker and home care team. The discharge plan was sent to the home care division.

To facilitate discharge planning and ease the transition from hospital to home

Home care visited the patient at home within 48 hours of discharge and two more times during the first week, and then at regular intervals.

Standard care, without the education materials or formal medication review

Rich 1995

Discharge planning lead: cardiovascular specialist nurse

Timing of discharge plan: early in the hospital admission

Education: education about heart failure, treatment plan, diet and medicines using a 5 page guide

Implementation of the discharge plan: review of medicines with recommendations to support compliance and reduce adverse effects, early discharge planning, review by social worker and home care team. The discharge plan was sent to the home care division.

Reduce the risk of readmission

Home care visited the patient at home within 48 hours of discharge and two more times during the first week, and then at regular intervals.

Standard care, without the education materials or formal medication review

Shaw 2000

Discharge planning lead: hospital pharmacist

Timing of discharge plan: during hospital admission

Education: patient knowledge of illness and medicines was assessed by a questionnaire, and information was provided

Implementation of the discharge plan: Medication review and counselling, a checklist was used to identify needs, details of the treatment plan were provided and provided to the patient's community pharmacist

To identify medication problems experienced by patients

Domiciliary visits at 1, 4 and 12 weeks to assess knowledge and continuing care needs.

Standard care

Sulch 2000

Discharge planning lead: senior nurse with multi‐disciplinary team

Timing of the discharge plan: day 5 to 6 of hospital admission

Education: patient and carer education about the care plan and rehabilitation process, medicines, prognosis and related health problems

Implementation of the discharge plan: discharge plan was revised during the hospital stay, the plan included discharge options and a date of discharge

An integrated care pathway to reduce hospital length of stay in people with a stroke and having specialist rehabilitation

Routine follow‐up that was not part of the discharge plan

Standard multi‐disciplinary care

Weinberger 1996

Discharge planning lead: primary care nurse

Timing of discharge plan: three days before discharge

Education: patients were provided with educational material.

Implementation of the discharge plan: assessment of post‐discharge needs, listed medical problems, assigned the patient to a primary care physician.

Targetted people with diabetes, chronic obstructive pulmonary disease or heart failure who were at risk of readmission. Aimed to reduce readmission by strengthening the planning of post‐discharge care

Primary nurse telephoned the patient 2 days after discharge, patient given an appointment to attend the primary care clinic within one week of discharge.

Standard care, did not have access to primary care nurse and did not receive supplemental education or assessment of needs beyond usual care.

Figuras y tablas -
Table 1. Intervention characteristics
Comparison 1. Effect of discharge planning on hospital length of stay

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 Hospital length of stay ‐ older people with a medical condition Show forest plot

11

2113

Mean Difference (IV, Fixed, 95% CI)

‐0.73 [‐1.33, ‐0.12]

1.2 Hospital length of stay ‐ older people following surgery Show forest plot

2

184

Mean Difference (IV, Fixed, 95% CI)

‐0.06 [‐1.23, 1.11]

1.3 Hospital length of stay ‐ studies recruiting people with a mix of conditions Show forest plot

3

Other data

No numeric data

Figuras y tablas -
Comparison 1. Effect of discharge planning on hospital length of stay
Comparison 2. Effect of discharge planning on unscheduled readmission rates

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Average follow‐up, 3 months from discharge for the majority of studies Show forest plot

17

5126

Risk Ratio (M‐H, Fixed, 95% CI)

0.89 [0.81, 0.97]

2.1.1 Unscheduled readmission for participants with a medical condition

17

5126

Risk Ratio (M‐H, Fixed, 95% CI)

0.89 [0.81, 0.97]

2.2 Hospital readmission rates at various follow‐up times Show forest plot

18

Other data

No numeric data

2.2.1 Participants with a medical condition

14

Other data

No numeric data

2.2.2 Participants with medical or surgical condition

1

Other data

No numeric data

2.2.3 Participants recruited following surgery

2

Other data

No numeric data

2.2.4 Participants with a mental health diagnosis

2

Other data

No numeric data

Figuras y tablas -
Comparison 2. Effect of discharge planning on unscheduled readmission rates
Comparison 3. Effect of discharge planning on health status

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

3.1 Mortality at 3 to 9 months Show forest plot

8

2721

Risk Ratio (M‐H, Fixed, 95% CI)

1.05 [0.85, 1.29]

3.1.1 Older people with a medical condition

8

2721

Risk Ratio (M‐H, Fixed, 95% CI)

1.05 [0.85, 1.29]

3.2 Mortality for trials recruiting participants with a medical condition and those recovering from surgery Show forest plot

1

Other data

No numeric data

3.3 Patient‐reported outcomes: a medical condition Show forest plot

15

Other data

No numeric data

3.3.1 Patients with a medical condition

12

Other data

No numeric data

3.3.2 Patient report outcomes following surgery

2

Other data

No numeric data

3.3.3 Patients with a medical or surgical condition

1

Other data

No numeric data

3.3.4 Patients with a mental health diagnosis

1

Other data

No numeric data

Figuras y tablas -
Comparison 3. Effect of discharge planning on health status
Comparison 4. Effect of discharge planning on satisfaction with care process

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

4.1 Satisfaction Show forest plot

8

Other data

No numeric data

4.1.1 Patient and care givers' satisfaction

7

Other data

No numeric data

4.1.2 Professional's satisfaction

2

Other data

No numeric data

Figuras y tablas -
Comparison 4. Effect of discharge planning on satisfaction with care process
Comparison 5. Effect of discharge planning on hospital resource use and cost

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

5.1 Hospital cost Show forest plot

6

Other data

No numeric data

5.1.1 Patients with a medical condition

6

Other data

No numeric data

5.1.2 Patients with a surgical condition

1

Other data

No numeric data

5.2 Primary and community care resource use and cost Show forest plot

6

Other data

No numeric data

Figuras y tablas -
Comparison 5. Effect of discharge planning on hospital resource use and cost
Comparison 6. Effect of discharge planning on medication use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

6.1 Problems with medication after discharge from hospital Show forest plot

6

Other data

No numeric data

6.2 Adherence to medicines Show forest plot

4

Other data

No numeric data

6.3 Knowledge about medicines Show forest plot

3

Other data

No numeric data

Figuras y tablas -
Comparison 6. Effect of discharge planning on medication use
Comparison 7. Effect of discharge planning on place of discharge

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

7.1 Discharge destination for people with a medical condition Show forest plot

7

Other data

No numeric data

7.2 Discharge destination, studies recruiting people with a medical or surgical condition Show forest plot

2

Other data

No numeric data

Figuras y tablas -
Comparison 7. Effect of discharge planning on place of discharge