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Referencias

References to studies included in this review

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.

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.

Eggink 2010 {published data only}

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

Evans 1993 {published data only}

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

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.
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.
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.
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):1592‐1600.

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.

Goldman 2014 {published and unpublished data}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.
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; Vol. 28, issue Supplement 1:S189‐S190.
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.
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. [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.

Hendriksen 1990 {published data only}

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.
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.

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.

Kennedy 1987 {published data only}

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

Kripalani 2012 {published data only}

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.
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.
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):212‐19.

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.
Lainscak M. Request of extra data for "Discharge Coordinator intervention" [personal communication]. Email sent to D Gonçalves‐Bradley 15 April 2015.
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.
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.

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.

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.
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.

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.

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.

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.

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.

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.

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.

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.

Pardessus 2002 {published data only}

Pardessus V, Puisieux F, Di Pompeo C, Gaudefroy C, Thevenon A, Dewailly P. Benefits of home visits for falls and autonomy in the elderly: a randomized trial study. American Journal of Physical Medicine & Rehabilitation 2002;81(4):247‐52.

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.

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.

Rich 1993a {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.

Rich 1995a {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.

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.

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.

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.

References to studies excluded from this review

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.

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.

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.

Carty 1990 {published data only}

Carty EM, Bradley CF. A randomized, controlled evaluation of early postpartum hospital discharge. Birth 1990;17(4):199‐204.

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.

Choong 2000 {published data only}

Choong PFM, 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.

Cossette 2015 {published data only}

Cossette S, Frasure‐Smith N, Vadeboncoeur A, McCusker J, Guertin MC. The impact of an emergency department nursing intervention on continuity of care, self‐care capacities and psychological symptoms: secondary outcomes of a randomized controlled trial. International Journal of Nursing Studies 2015;52(3):666‐76. [DOI: 10.1016/j.ijnurstu.2014.12.007]

Donahue 1994 {published data only}

Donahue D, Brooten D, Roncoli M, Arnold L, Knapp H, Borucki L, et al. Acute care visits and rehospitalization in women and infants after cesarean birth. Journal of Perinatology 1994;14(1):36‐40.

Dudas 2001 {published data only}

Dudas V, Bookwalter T, Kerr KM, Pantilat SZ. The impact of follow‐up telephone calls to patients after hospitalization. American Journal of Medicine 2001;111(9b):26s‐30s.

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.

Epstein 1990 {published data only}

Epstein AM, Hall JA, Fretwell M, Feldstein M, DeCiantis ML, Tognetti J, et al. Consultative geriatric assessment for ambulatory patients. A randomized trial in a health maintenance organization. JAMA 1990;263(4):538‐44.

Fretwell 1990 {published data only}

Fretwell MD, Raymond PM, McGarvey ST, Owens N, Traines M, Silliman RA, et al. The Senior Care Study. A controlled trial of a consultative/unit‐based geriatric assessment program in acute care. Journal of the American Geriatrics Society 1990;38(10):1073‐81.

Gayton 1987 {published data only}

Gayton D, Wood‐Dauphinee S, De Lorimer M, Tousignant P, Hanley J. Trial of a geriatric consultation team in an acute care hospital. Journal of the American Geriatrics Society 1987;35(8):726‐36.

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.

Gillette 1991 {published data only}

Gillette Y, Hansen NB, Robinson JL, Kirkpatrick K, Grywalski R. Hospital‐based case management for medically fragile infants: results of a randomized trial. Patient Education and Counseling 1991;17(1):59‐70.

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.

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.

Hansen 1992 {published data only}

Hansen FR, Spedtsberg K, Schroll M. Geriatric follow‐up by home visits after discharge from hospital: a randomized controlled trial. Age and Ageing 1992;21(6):445‐50.

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.

Hogan 1990 {published data only}

Hogan DB, Fox RA. A prospective controlled trial of a geriatric consultation team in an acute‐care hospital. Age and Ageing 1990;19(2):107‐13.

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.

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.

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.

Kravitz 1994 {published data only}

Kravitz RL, Reuben DB, Davis JW, Mitchell A, Hemmerling K, Kington RS, et al. Geriatric home assessment after hospital discharge. Journal of the American Geriatrics Society 1994;42(12):1229‐34.

Landefield 1995 {published data only}

Landefield CS, Palmer RM, Kresevic DM, Fortinsky RH, Kowal J. A randomized controlled trial of care in a hospital medical unit especially designed to improve functional outcomes of acutely ill older patients. New England Journal of Medicine 1995;332(20):1338‐44.

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.

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.

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.

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.

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.

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.

Melin 1993 {published data only}

Melin AL, Hakansson S, Bygren LO. The cost‐effectiveness of rehabilitation in the home: a study of Swedish elderly. American Journal of Public Health 1993;83:356‐62.

Melin 1995a {published data only}

Melin AL. A randomized trial of multidisciplinary in‐home care for frail elderly patients awaiting hospital discharge. Aging 1995;7(3):247‐50.

Melin 1995b {published data only}

Melin AL, Wieland D, Harker JO, Bygren LO. Health outcomes of a post‐hospital in‐home team care: secondary analysis of a Swedish trial. Journal of the American Geriatrics Society 1995;43(3):301‐7.

Murray 1995 {published data only}

Murray SK, Garraway WM, Akhtar AJ, Prescott RJ. Communication between home and hospital in the management of acute stroke in the elderly: results from a controlled trial. Health Bulletin 1995;40(5):214‐9.

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.

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.

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.

Nikolaus 1995 {published data only}

Nikolaus T, Specht‐Leible N, Bach M, Wittmann‐Jennewein C, Oster P, Schlierf G. Effectiveness of hospital‐based geriatric evaluation and management and home intervention team (GEM‐HIT): rationale and design of a 5‐year randomized trial. Zeitschrift für Gerontologie und Geriatrie 1995;28(1):47‐53.

Reuben 1995 {published data only}

Reuben DB, Borok GM, Wolde‐Tsadik G, Ershoff DH, Fishman LK, Ambrosini VL, et al. A randomized trial of comprehensive geriatric assessment in the care of hospitalized patients. New England Journal of Medicine 1995;332(20):1345‐50.

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.

Rich 1995b {published data only}

Rich MW, Beckham V, Wittenberg C, Leven CL, 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.

Rubenstein 1984 {published data only}

Rubenstein LZ, Josephson KR, Wieland GD, English PA, Sayre JA, Kane RL. Effectiveness of a geriatric evaluation unit. A randomized clinical trial. New England Journal of Medicine 1984;311(26):1664‐70.

Saleh 2012 {published data only}

Saleh SS, Freire C, Morris‐Dickinson G, Shannon T. An effectiveness and cost‐benefit analysis of a hospital‐based discharge transition program for elderly Medicare recipients. Journal of the American Geriatrics Society 2012;60(6):1051‐6.

Saltz 1988 {published data only}

Saltz CC, McVey LJ, Becker PM, Feussner JR, Cohen HJ. Impact of a geriatric consultation team on discharge placement and repeat hospitalization. Gerontologist 1988;28(3):344‐50.

Shah 2013 {published data only}

Shah M, Norwood CA, Farias S, Ibrahim S, Chong PH, Fogelfeld L. Diabetes transitional care from inpatient to outpatient setting: pharmacist discharge counseling. Journal of Pharmacy Practice 2013;26(2):120‐4.

Sharif 2014 {published data only}

Sharif F, Moshkelgosha F, Molazem Z, Najafi Kalyani M, Vossughi M. The effects of discharge plan on stress, anxiety and depression in patients undergoing percutaneous transluminal coronary angioplasty: a randomized controlled trial. International Journal of Community Based Nursing & Midwifery 2014;2(2):60‐8.

Shyu 2010 {published data only}

Shyu YI, Liang J, Wu CC, Su JY, Cheng HS, Chou SW, et al. Two‐year effects of interdisciplinary intervention for hip fracture in older Taiwanese. Journal of the American Geriatrics Society 2010;58(6):1081‐9.

Siu 1996 {published data only}

Siu AL, Kravitz RL, Keeler E, Hemmerling K, Kington R, Davis JW, et al. Postdischarge geriatric assessment of hospitalized frail elderly patients. Archives of Internal Medicine 1996;156(1):76‐81.

Smith 1988 {published data only}

Smith DM, Weinberger M, Katz BP, Moore PS. Postdischarge care and readmissions. Medical Care 1988;26(7):699‐708.

Thomas 1993 {published data only}

Thomas DR, Brahan R, Haywood BP. Inpatient community‐based geriatric assessment reduces subsequent mortality. Journal of the American Geriatrics Society 1993;41(2):101‐4.

Townsend 1988 {published data only}

Townsend J, Piper M, Frank AO, Dyer S, North WR, Meade TW. Reduction in hospital readmission stay of elderly patients by a community based hospital discharge scheme: a randomized controlled trial. BMJ 1988;297(6647):544‐7.

Tseng 2012 {published data only}

Tseng MY, Shyu YI, Liang J. Functional recovery of older hip‐fracture patients after interdisciplinary intervention follows three distinct trajectories. The Gerontologist 2012;52(6):833‐42.

Victor 1988 {published data only}

Victor CR, Vetter NJ. Rearranging the deckchairs on the Titanic: failure of an augmented home help scheme after discharge to reduce the length of stay in hospital. Archives of Gerontology and Geriatrics 1988;7(1):83‐91.

Voirol 2004 {published data only}

Voirol P, Kayser SR, Chang CY, Chang QL, Youmans SL. Impact of pharmacists' interventions on the pediatric discharge medication process. Annals of Pharmacotherapy 2004;38(10):1597‐602.

Winograd 1993 {published data only}

Winograd CH, Gerety MB, Lai NA. A negative trial of inpatient geriatric consultation. Lessons learned and recommendations for future research. Archives of Internal Medicine 1993;153(17):2017‐23.

Yeung 2012 {published data only}

Yeung, SM. The effects of a transitional care programme using holistic care interventions for Chinese stroke survivors and their care providers: A randomized controlled trial. The Effects of a Transitional Care Programme Using Holistic Care Interventions for Chinese Stroke Survivors and Their Care Providers: A Randomized Controlled Trial. Hong Kong: Hong Kong Polytechnic University, 2012.

NCT02112227 {published data only}

NCT02112227. Patient‐centered Care Transitions in Heart Failure (PACT‐HF). clinicaltrials.gov/ct2/show/NCT02112227 (accessed 2 June 2015).

NCT02202096 {published data only}

NCT02202096. A pilot randomized trial of a comprehensive transitional care program for colorectal cancer patients. clinicaltrials.gov/ct2/show/NCT02202096 (accessed 2 June 2015).

NCT02295319 {published data only}

NCT02295319. The impact of individual‐based discharges from acute admission units to home. clinicaltrials.gov/ct2/show/NCT02295319 (accessed 2 June 2015).

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).

NCT02388711 {published data only}

NCT02388711. A trial of the C‐TraC intervention for dementia patients. clinicaltrials.gov/ct2/show/NCT02388711 (accessed 2 June 2015).

NCT02421133 {published data only}

NCT02421133. Impact of a transitional care program on 30‐day hospital readmissions for elderly patients discharged from a short stay geriatric ward (PROUST). clinicaltrials.gov/ct2/show/NCT02421133 (accessed 2 June 2015).

Aus NZ Soc Geriat Med 2008

Australia and New Zealand Society for Geriatric Medicine. Position statement No. 15: Discharge planning. Australia and New Zealand Society for Geriatric Medicine, 2008.

Barker 1985

Barker WH, Williams TF, Zimmer JG, Van Buren C, Vincent SJ, Pickrel SG. Geriatric consultation teams in acute hospitals: impact on back‐up of elderly patients. Journal of the American Geriatrics Society 1985;33(6):422‐8.

Bodenheimer 2005

Bodenheimer T, Fernandez A. High and rising health care costs. Part 4: Can costs be controlled while preserving quality?. Annals of Internal Medicine 2005;143(1):26‐31.

Burgess 2014

Burgess JF, Hockenberry JM. Can all cause readmission policy improve quality or lower expenditures? A historical perspective on current initiatives. Health Economics, Policy and Law 2014;9(2):193‐213.

Challis 2014

Challis D, Hughes J, Xie C, Jolley D. An examination of factors influencing delayed discharge of older people from hospital. International Journal of Geriatric Psychiatry 2014;29(2):160‐8.

ClinicalTrials.gov 2015

ClinicalTrials.gov. ClinicalTrials.gov. Retrieved from https://clinicaltrials.gov/ (accessed 12/10/15).

Cochrane 1954

Cochran WG. The combination of estimates from different experiments. Biometrics 1954;10:101‐29.

Dept Health Human Services 2013

Department of Health and Human Services. Discharge Planning. Washington D.C.: Department of Health and Human Services, Centers for Medicare and Medicaid Services, 2013.

Dept of Health 2003

Department of Health. Discharge from Hospital: Pathway, Process and Practice. A Manual of Discharge Practice for Health and Social Care Commissioners, Managers and Practitioners. London: Department of Health, 2003.

Dept of Health 2010

Department of Health. Ready to Go? Planning the Discharge and the Transfer of Patients from Hospital and Intermediate Care. London: Department of Health, 2010.

Ellis 2011

Ellis G, Whitehead MA, O'Neill D, Langhorne P, Robinson D. Comprehensive geriatric assessment for older adults admitted to hospital. Cochrane Database of Systematic Reviews 2011, Issue 7. [DOI: 10.1002/14651858.CD006211.pub2]

EPOC 2015

Effective Practice, Organisation of Care (EPOC). Data extraction and management. EPOC Resources for review authors. Oslo: Norwegian Knowledge Centre for the Health Services; 2013. Available at: http://epoc.cochrane.org/epoc‐specific‐resources‐review‐authors.

Future Hospital Comission 2013

Future Hospital Comission. Future hospital: Caring for medical patients. A report from the Future Hospital Comission to the Royal College of Physicians. Royal College of Physicians (ISBN 9781860165184), 2013.

GRADEpro GDT 2015 [Computer program]

McMaster University (developed by Evidence Prime, Inc.). GRADEpro Guideline Development Tool. Available from www.gradepro.org: McMaster University (developed by Evidence Prime, Inc.), 2015.

Guyatt 2008

Guyatt GH, Oxman AD, Vist G, Kunz R, Falck‐YtterY, Alonso‐Coello P, Schünemann HJ, for the GRADEWorking Group. Rating quality of evidence and strength of recommendations GRADE: An emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336:924–926.

Hawkes 2015

Hawkes N. Providing care at home will not save money for NHS in next five year, Monitor says. BMJ 2015;351:h889.

Health Qual Ontario 2013

Health Quality Ontario. Adopting a Common Approach to Transitional Care Planning: Helping Health Links Improve Transitions and Coordination of Care. Health Quality Ontario, 2013.

Higgins 2003

Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta‐analysis. BMJ 2003;327:557‐60.

Higgins 2011

Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org, 2011.

Jencks 2009

Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare Fee‐for‐Service Program. New England Journal of Medicine 2009;360(14):1418‐28.

Kripalani 2007

Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW. Deficits in communication and information transfer between hospital‐based and primary care physicians: implications for patient safety and continuity of care. JAMA 2007;297(8):831‐41.

Kwan 2004

Kwan J, Sandercock P. In hospital care pathways for stroke. Cochrane Database of Systematic Reviews 2004, Issue 4. [DOI: 10.1002/14651858.CD002924.pub2]

Langhorne 2002

Langhorne P, Pollock A with the Stroke Unit Trialists Collaboration. What are the components of effective stroke unit care?. Age and Ageing 2002;31(5):365‐71.

Leppin 2014

Leppin AL, Gionfriddo MR, Kessler M, Brito JP, Mair FS, Gallacher K, et al. Preventing 30‐day hospital readmissions: A systematic review and meta‐analysis of randomized trials. JAMA Internal Medicine 2014;174(7):1095‐107.

Marks 1994

Marks L. Seamless Care or Patchwork Quilt? Discharging Patients from Acute Hospital Care. London: Kings Fund, 1994.

McDonagh 2000

McDonagh MS, Smith DH, Goddard M. Measuring appropriate use of acute beds ‐ a systematic review of methods and results. Health Policy 2000;53(3):157‐84.

Parker 2002

Parker SG, Peet SM, McPherson A, Cannaby AM, Abrams K, Baker R, et al. A systematic review of discharge arrangements for older people. Health Technology Assessment 2002;6(4):1‐183.

PDQ‐Evidence 2015

PDQ‐Evidence. PDQ‐Evidence. Retrieved from http://www.pdq‐evidence.org/en/ (accessed 14 April 2015).

Phillips 2004

Phillips CO, Wright SM, Kern DE, Singa RM, Shepperd S, Rubin HR. Comprehensive discharge planning with post discharge support for older patients with congestive heart failure: a meta‐analysis. JAMA 2004;291(11):358‐67.

Stuck 1993

Stuck AE, Sui AL, Wieland GD, Adams J, Rubenstein LS. Comprehensive geriatric assessment: a meta analysis of controlled trials. The Lancet 1993;342(8878):1032‐6.

Ubbink 2014

Ubbink DT, Tump E, Koenders JA, Kleiterp S, Goslings JC, Brölmann FE. Which reasons do doctors, nurses, and patients have for hospital discharge? A mixed‐methods study. PLoS One 2014;9(3):e91333.

References to other published versions of this review

Parkes 2000

Parkes J, Shepperd S. Discharge planning from hospital to home. Cochrane Database of Systematic Reviews 2000, Issue 4:CD000313. [DOI: 10.1002/14651858.CD000313]

Shepperd 2004

Shepperd S, Parkes J, McClaren J, Phillips C. Discharge planning from hospital to home. Cochrane Database of Systematic Reviews 2004, Issue 1:CD000313. [DOI: 10.1002/14651858.CD000313.pub2]

Shepperd 2010

Shepperd S, McClaran J, Phillips CO, Lannin NA, Clemson LM, McCluskey A, et al. Discharge planning from hospital to home. Cochrane Database of Systematic Reviews 2010, Issue 1. [DOI: 10.1002/14651858.CD000313.pub3]

Shepperd 2013

Shepperd S, Lannin NA, Clemson LM, McCluskey A, Cameron ID, Barras SL. Discharge planning from hospital to home. Cochrane Database of Systematic Reviews 2013, Issue 1. [DOI: 10.1002/14651858.CD000313.pub4]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Balaban 2008

Methods

RCT

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: not clear

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 d

Notes

24/120 patients were excluded after randomisation.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Main outcome measure was readmission rates

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up data for > 80%

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

High risk

Comparison at end of treatment only

Bolas 2004

Methods

RCT

Participants

Patients recruited within 48 h 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 care giver 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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated random number

Allocation concealment (selection bias)

Unclear risk

Allocation concealment was not described

Blinding (performance bias and detection bias)
All outcomes

High risk

Low risk for readmission data and high risk for knowledge of medicines and GP and community pharmacists' views.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Follow‐up of patients: 67% (162/243)

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

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Eggink 2010

Methods

RCT

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, 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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number table

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

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

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Loss to follow‐up = 2/89

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Majority of characteristics similar at baseline

Evans 1993

Methods

RCT

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

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

Not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Yes, for objective measures

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Farris 2014

Methods

RCT

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, US

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 2‐3 d during inpatient stay for education

Implementation of the discharge plan: patients in Minimum and Enhanced Intervention received counselling and discharge medication list; PCP and community pharmacist of patients in Enhanced Intervention received copy of care plan (6‐24 h postdischarge) with medication list and patient‐specific concerns, among others

Monitoring: patients in Enhanced Intervention received call 3‐5 d 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

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

Statistician‐generated blinded randomisation scheme, sequentially numbered envelopes

Allocation concealment (selection bias)

Low risk

Unit of allocation by patient, with sealed opaque envelope

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

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

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

Selective reporting (reporting bias)

Unclear risk

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

Baseline data

Low risk

Baseline data reported, similar characteristics; control group less likely to forget medication but not related with main outcome

Gillespie 2009

Methods

RCT

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, Upsalla, 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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

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

Allocation concealment (selection bias)

Low risk

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

Blinding (performance bias and detection bias)
All outcomes

Low risk

Objective measures of outcome using routine data.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

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

Selective reporting (reporting bias)

Low risk

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

Baseline data

Low risk

Baseline data reported

Goldman 2014

Methods

RCT

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 1‐3 and 6‐10 d 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 d 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 d), non‐ED ambulatory care visits, mortality (180 d)

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

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

Allocation concealment (selection bias)

Low risk

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

Blinding (performance bias and detection bias)
All outcomes

Low risk

Blinded outcome assessment and objective primary outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up at 180 d = 90%

All drop‐outs accounted for

Selective reporting (reporting bias)

Low risk

Trial registration provides same primary outcomes as reported here

Baseline data

Low risk

Baseline data reported

Harrison 2002

Methods

RCT

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 h 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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated schedule of random numbers

Allocation concealment (selection bias)

Low risk

Random allocation by a research co‐ordinator

Blinding (performance bias and detection bias)
All outcomes

High risk

High risk for patient assessed outcomes

Low risk for objective measure of readmission

Incomplete outcome data (attrition bias)
All outcomes

Low risk

157/200 (81%) completed the study

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Hendriksen 1990

Methods

RCT

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

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

Details of measures of outcome not provided. Translated from Danish. Intervention implemented at time of admission.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Yes, for objective outcome measures

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Not described

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Jack 2009

Methods

RCT

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 US 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 2‐4 d 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

Notes

Readmission data obtained from the authors

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Index cards in opaque envelopes randomly arranged

Allocation concealment (selection bias)

Low risk

The authors state that the research assistants could not selectively choose potential participants for enrolment or predict assignment

Blinding (performance bias and detection bias)
All outcomes

Low risk

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

Follow‐up at 30 d > 80%

Similar proportion in both groups

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data collected at recruitment

Kennedy 1987

Methods

RCT

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

Notes

Not clear when intervention implemented

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number schedule described

Allocation concealment (selection bias)

Low risk

Allocation provided by the statistics department

Blinding (performance bias and detection bias)
All outcomes

Low risk

For objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Kripalani 2012

Methods

RCT

Participants

Patients hospitalised for acute coronary syndrome or acute decompensated HF, English‐ or Spanish‐speaking, expected to stay in hospital for more than 3 h, 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, US

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 1‐4 d 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 d (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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomisation was stratified by study site and diagnosis, in permuted blocks of 2‐6 patients, by a computer programme that maintained allocation concealment

Allocation concealment (selection bias)

Low risk

One unblinded research coordinator at each site administered the randomisation, contacted study pharmacists who then delivered the intervention to eligible patients, and participated in the individualised telephone follow‐up

Blinding (performance bias and detection bias)
All outcomes

Low risk

Main outcome determined by 2 independent clinicians following standardised validated methodology

Incomplete outcome data (attrition bias)
All outcomes

Low risk

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

Selective reporting (reporting bias)

Low risk

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

Baseline data

Low risk

Intervention group is slightly older, groups similar other than that

Lainscak 2013

Methods

RCT

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 coordinator assessed patient and home care needs, involving both the patient and the care giver.

Implementation of the discharge plan: 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 h postdischarge to assess adjustment process, followed by phone calls scheduled as required until a final home visit at 7‐10 d 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 care givers.

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.

Notes

Steering and end‐point 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 coordinators 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

Software to generate random numbers/allocation sequence

Allocation concealment (selection bias)

Low risk

Allocation independent of researchers and healthcare providers

Blinding (performance bias and detection bias)
All outcomes

Low risk

Objective measure for primary outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up at 180 d for > 80%; similar % of drop‐outs in both groups

Selective reporting (reporting bias)

Low risk

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

Baseline data

Low risk

Baseline data provided, no differences between groups

Laramee 2003

Methods

RCT

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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

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

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Loss to follow‐up: 53/287; ≥ 81% retained

T = 122/141; C = 112/146

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Legrain 2011

Methods

RCT

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

Participants

Medical patients aged ≥ 70 years; patients were excluded if expected to be discharged in less than 5 d, 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 RCT

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 care giver, 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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated randomisation scheme in various sized blocks stratified according to centre

Allocation concealment (selection bias)

Low risk

A central randomisation service in the trial organisation centre

Blinding (performance bias and detection bias)
All outcomes

Low risk

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

Outcome data reported for all participants recruited

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Majority of baseline characteristics similar between groups

Lin 2009

Methods

RCT

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. 2 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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

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

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

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

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

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Data collected on all recruited patients

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Similar characteristics at baseline

Lindpaintner 2013

Methods

Pilot RCT

Participants

Patients aged ≥ 18 years, 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 h postdischarge and home visit at the end of the intervention

Control: best usual care (no additional information provided)

Outcomes

Composite endpoint (death, rehospitalisation, unplanned urgent medical evaluation within 5 d of discharge, and adverse medicine reaction requiring discontinuation of the medicine), satisfaction with discharge process, care giver burden, health‐related quality of life

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

Block randomisation

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding (performance bias and detection bias)
All outcomes

High risk

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

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Drop‐outs accounted for

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

High risk

Baseline data provided; patients in treatment group had higher comorbidity (T = 3.2 ± 2.29, C = 2.5 ± 2.45)

Moher 1992

Methods

RCT

Participants

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

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

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

Computer‐generated blocks

Allocation concealment (selection bias)

Unclear risk

Allocation procedure not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Yes for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Naji 1999

Methods

RCT

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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Independent computer programme

Allocation concealment (selection bias)

Low risk

Independent to researchers

Blinding (performance bias and detection bias)
All outcomes

Low risk

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

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

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

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

Naughton 1994

Methods

RCT

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: 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

Intervention implemented at time of admission

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

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

Allocation concealment (selection bias)

Low risk

Sealed envelopes provided by admitting clerk

Blinding (performance bias and detection bias)
All outcomes

Low risk

Yes for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

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

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Naylor 1994

Methods

RCT

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

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 care giver, 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 postdischarge 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

Notes

Intervention implemented at time of admission

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Yes, for objective measures

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients included in the final sample accounted for

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Nazareth 2001

Methods

RCT

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 care giver 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, care giver, 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

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer generated random numbers

Allocation concealment (selection bias)

Low risk

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

Blinding (performance bias and detection bias)
All outcomes

Low risk

Blinding of objective outcomes

Incomplete outcome data (attrition bias)
All outcomes

Low risk

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

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Pardessus 2002

Methods

RCT

Participants

Patients aged ≥ 65, hospitalised for falling and able to return home; excluded if cognitively impaired (MM < 24), did not have a phone, lived further away than 30 km, or if the falls were secondary to cardiac, neurologic, vascular, or therapeutic problems.

Number recruited: T = 30, C = 30

Age (SD): T = 83.5 years (9.1), C = 82.9 years (6.3)

Sex (female): T = 23/30 (76%), C = 24/30 (80%)

Interventions

Setting: acute geriatric department in les Bateliers Hospital; Lille, France

Pre‐admission assessment: no

Case finding on admission: all admitted patients during the trial period were screened for inclusion and exclusion criteria. Baseline information obtained at beginning of hospitalisation.

Inpatient assessment and preparation of a discharge plan based on individual patient needs: 2 h home visit by occupational therapist and a physical medicine/rehabilitation doctor to evaluate patient abilities in home environment ‐ ADL, IADL, transfers, mobility and environmental hazards. Enabled observation of patient in real conditions of life. Social supports addressed by social worker.

Implementation of the discharge plan: modification of home hazards and safety advice in home situation, adaptation of recommendations and prescriptions, particularly for physical therapy, speedy evaluation of technical aids and social supports needed

Monitoring: telephone follow‐up was conducted by an occupational therapist to check if the home modifications were completed and assist if necessary

Control: received physical therapy and were informed of home safety and social assistance if required. No home visit.

Outcomes

Functional status, falls, readmissions, mortality and residential care at 6 and 12 months

Notes

Intervention includes pre‐discharge home visits

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number table

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

For objective measure of outcome only (readmission and mortality)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Unclear risk

Baseline data reported

Parfrey 1994

Methods

RCT

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

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

Not described

Allocation concealment (selection bias)

Low risk

Sealed envelopes

Blinding (performance bias and detection bias)
All outcomes

Low risk

Yes for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Preen 2005

Methods

RCT

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 24‐48 h prior to discharge. Problems were identified from hospital notes and patient/care giver consultation, goals were developed and agreed upon with the patient/care giver 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 postdischarge. Copies faxed to all service providers identified on the care plan.

Monitoring: research nurse followed up if GP did not respond in 24 h and the GP scheduled a consultation (within 7 d postdischarge) 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 d postdischarge

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not described

Allocation concealment (selection bias)

Low risk

Described as an "allocation concealment technique"

Blinding (performance bias and detection bias)
All outcomes

High risk

Blinding for objective measures of outcome

Incomplete outcome data (attrition bias)
All outcomes

Low risk

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

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

At discharge from hospital

Rich 1993a

Methods

RCT

Participants

Patients aged 70 years, with CHF; 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 CHF 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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

2:1 treatment:control allocated

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

For objective measures of outcome (readmission, mortality)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Rich 1995a

Methods

RCT

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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated list of random numbers

Allocation concealment (selection bias)

Low risk

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

Blinding (performance bias and detection bias)
All outcomes

Low risk

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

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Shaw 2000

Methods

RCT

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

Readmission to hospital, readmission due to non‐compliance, medication problems after being discharged from hospital

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

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

Allocation concealment (selection bias)

Low risk

Randomisation by the project pharmacist

Blinding (performance bias and detection bias)
All outcomes

High risk

Not possible to blind patients

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

> 30% attrition at 12 weeks

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Sulch 2000

Methods

RCT

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

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated list of randomised numbers

Allocation concealment (selection bias)

Low risk

Randomisation office allocated patients to intervention or control

Blinding (performance bias and detection bias)
All outcomes

Low risk

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

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

Weinberger 1996

Methods

RCT

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 care giver, 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 d before discharge a primary nurse assessed the patient's postdischarge needs. 2 d 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 postdischarge 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

Readmission to hospital, health status, patient satisfaction, intensity of primary care

Notes

Discharge planning within 3 d of discharge
9 VA hospitals participated in the trial

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Produced by statistical coordinating centre

Allocation concealment (selection bias)

Low risk

Allocation made by telephoning the statistical coordinating centre

Blinding (performance bias and detection bias)
All outcomes

Low risk

Objective measures of outcome and telephone interviews

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients randomised accounted for at follow‐up

Selective reporting (reporting bias)

Unclear risk

Not able to judge from available information

Baseline data

Low risk

Baseline data reported

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; 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; 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; RCT: randomised controlled trial; RED: re‐engineered discharge; RN: registered nurse; SD: standard deviation; T: treatment; TIA: transient Ischaemic attack.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Applegate 1990

RCT: discharge planning plus geriatric assessment unit

Brooten 1987

Discharge planning plus home care package

Brooten 1994

Discharge planning plus home care package plus counselling

Carty 1990

Early postpartum hospital discharge

Casiro 1993

Intervention: discharge planning plus home care package

Choong 2000

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

Cossette 2015

Intervention is focused on decreasing the number of emergency room visits, not discharge planning

Donahue 1994

Intervention discharge planning plus postdischarge care package

Dudas 2001

Intervention is focused on telephone follow‐up, not discharge planning. Randomised to groups after discharge from hospital.

Englander 2014

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

Epstein 1990

RCT: consultative geriatric assessment and limited follow‐up

Fretwell 1990

RCT: consultative inpatient multidisciplinary team care

Gayton 1987

Controlled trial: inpatient geriatric consultation team

Germain 1995

Geriatric assessment and intervention team

Gillette 1991

Hospital‐based case management team for neonatal intensive care

González‐Guerrero 2014

Control group given the same manual as intervention group at discharge

Haggmark 1997

Study design not clear

Hansen 1992

RCT: follow‐up home visits

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

Hogan 1990

Controlled trial of geriatric consultation team and follow‐up after discharge

Jenkins 1996

RCT: discharge teaching book

Karppi 1995

Discharge planning plus geriatric assessment unit

Kleinpell 2004

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

Kravitz 1994

Nested cohort study of postdischarge follow‐up

Landefield 1995

Special unit plus rehabilitation

Linden 2014

1. Multidimensional intervention, based on the transitional care model

2. Control group also received discharge planning

Loffler 2014

Medication review only, not discharge planning

Martin 1994

RCT of discharge planning plus hospital at home

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

Melin 1993

Postdischarge care

Melin 1995a

RCT (secondary analysis); in‐home primary care

Melin 1995b

Postdischarge care

Murray 1995

Controlled trial; communication between hospital and home

Naylor 1999

RCT. Discharge planning and home follow‐up.

Naylor 2004

Complex package of care; main emphasis was not on discharge planning

Nickerson 2005

No results reported for the control group

Nikolaus 1995

Pilot study for comprehensive geriatric assessment

Reuben 1995

RCT of comprehensive geriatric assessment in HMO setting

Rich 1993b

Pilot study of discharge planning plus home care package

Rich 1995b

Discharge planning plus home care package

Rubenstein 1984

Discharge planning plus geriatric assessment unit

Saleh 2012

Postdischarge care

Saltz 1988

RCT: effect of geriatric consultation team on discharge placement

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

Siu 1996

Geriatric assessment started at hospital and continued at home

Smith 1988

RCT: postdischarge intervention to reduce non‐elective readmission

Thomas 1993

RCT: comprehensive geriatric consultation team

Townsend 1988

Postdischarge care

Tseng 2012

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

Victor 1988

Augmented home help scheme

Voirol 2004

Intervention was standardised to all patients; no individual assessment done

Winograd 1993

RCT: inpatient interdisciplinary geriatric assessment team

Yeung 2012

Multidimensional intervention, based on the transitional care model

HMO: health maintenance organisation; RCT: randomised controlled trial.

Characteristics of ongoing studies [ordered by study ID]

NCT02112227

Trial name or title

Patient‐centered Care Transitions in Heart Failure (PACT‐HF)

Methods

Single blind parallel randomised control trial

Participants

Setting: Canada

Inclusion criteria: aged ≥ 16 years and hospitalised with HF

Main exclusion criterion: transferred to another hospital

Interventions

Intervention: pre‐discharge needs assessment; self‐care education; comprehensive discharge summary; referral to HF clinic and nurse‐led home care

Control: care as usual

Outcomes

Main outcomes: all‐cause readmission rate at 30d; 6m composite all‐cause death, readmission, or emergency room visit

Starting date

July 2014

Contact information

Notes

Estimated completion date December 2017

ClinicalTrials.gov Identifier: NCT02112227

NCT02202096

Trial name or title

Comprehensive Transitional Care Program for Colorectal Cancer Patients

Methods

Parallel randomised control trial (pilot)

Participants

Setting: safety‐net hospital, USA

Inclusion criteria: aged ≥ 18 years, diagnosis of colorectal cancer and undergoing surgery for either palliative cure or palliation

Main exclusion criteria: patients not expected to survive

Interventions

Intervention: pre‐discharge needs assessment; medication reconciliation; visit before discharge; comprehensive discharge summary; direct communication with primary care team; co‐ordination of follow‐up visits; phone call within 24h of discharge

Control: care as usual

Outcomes

Main outcome: readmission and emergency room visits rate at 30 d

Starting date

February 2015

Contact information

Notes

Estimated completion date February 2016

ClinicalTrials.gov Identifier: NCT02202096

NCT02295319

Trial name or title

The Impact of Individual‐based Discharges From Acute Admission Units to Home

Methods

Open label parallel randomised control trial

Participants

Setting: acute admission unit, Denmark

Inclusion criteria: aged ≥ 18 years, medicine diagnosis, discharged home, ≥ admission last year, planned follow‐up after discharge (GP, home care, outpatient clinic)

Main exclusion criterion: cognitively impaired, not local

Interventions

Intervention: provision of information and establishment of a discharge plan with the patient; phone interview within 48 h of discharge

Control: care as usual

Outcomes

Main outcome: readmission rate at 30 d

Starting date

November 2014

Contact information

Notes

Estimated completion date December 2015

ClinicalTrials.gov Identifier: NCT02295319

NCT02351648

Trial name or title

Randomised Control Trial of a Transitional Care Model

Methods

Single blind parallel randomised control trial

Participants

Setting: general hospital, Singapore

Inclusion criteria: aged ≥ 21 years and > 1 admission last 90 d

Main exclusion criteria: not local or discharged to long‐term care facility; not able to provide informed consent; requires acute treatment or waiting for surgery; primary team consultant not participating in research.

Interventions

Intervention: pre‐discharge needs assessment; comprehensive discharge summary; home/phone visit within 48 h of discharge; subsequent contact as needed; research team available for phone inquiries

Control: care as usual

Outcomes

Main outcome: readmission rate at 30 d

Starting date

October 2012

Contact information

Notes

Completed December 2014

ClinicalTrials.gov Identifier: NCT02351648

NCT02388711

Trial name or title

Comprehensive Transitional Care Program for Colorectal Cancer Patients

Methods

Single blinded parallel randomised control trial

Participants

Setting: US

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 2019

ClinicalTrials.gov Identifier: NCT02388711

NCT02421133

Trial name or title

Transitional Care Program on 30‐Day Hospital Readmissions for Elderly Patients Discharged From a Short Stay Geriatric Ward (PROUST)

Methods

Open label parallel stepped wedge randomised control trial

Participants

Setting: acute geriatric service, France

Inclusion criteria: aged ≥ 75 years, admitted for > 48 h, 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 d 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 d

Starting date

May 2015

Contact information

Notes

Estimated completion date August 2018

ClinicalTrials.gov Identifier: NCT02421133

ER: emergency room; HF: heart failure.

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

12

2193

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 patients with a medical condition.

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

2 Sensitivity analysis imputing missing SD for Kennedy trial Show forest plot

11

1825

Mean Difference (IV, Fixed, 95% CI)

‐0.98 [‐1.57, ‐0.38]

Analysis 1.2

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 2 Sensitivity analysis imputing missing SD for Kennedy trial.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 2 Sensitivity analysis imputing missing SD for Kennedy trial.

3 Hospital length of stay ‐ older surgical patients Show forest plot

2

184

Mean Difference (IV, Fixed, 95% CI)

‐0.06 [‐1.23, 1.11]

Analysis 1.3

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 3 Hospital length of stay ‐ older surgical patients.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 3 Hospital length of stay ‐ older surgical patients.

4 Hospital length of stay ‐ older medical and surgical patients Show forest plot

2

1108

Mean Difference (IV, Fixed, 95% CI)

‐0.60 [‐2.38, 1.18]

Analysis 1.4

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 4 Hospital length of stay ‐ older medical and surgical patients.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 4 Hospital length of stay ‐ older medical and surgical patients.

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

1 Within 3 months of discharge from hospital Show forest plot

17

4853

Risk Ratio (M‐H, Fixed, 95% CI)

0.88 [0.79, 0.97]

Analysis 2.1

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 1 Within 3 months of discharge from hospital.

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 1 Within 3 months of discharge from hospital.

1.1 Unscheduled readmission for those with a medical condition

15

4743

Risk Ratio (M‐H, Fixed, 95% CI)

0.87 [0.79, 0.97]

1.2 Older people admitted to hospital following a fall

2

110

Risk Ratio (M‐H, Fixed, 95% CI)

1.36 [0.46, 4.01]

2 Patients with medical or surgical condition Show forest plot

Other data

No numeric data

Analysis 2.2

Study

Readmission rates

Notes

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



Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 2 Patients with medical or surgical condition.

3 Patients with a medical condition Show forest plot

Other data

No numeric data

Analysis 2.3

Study

Readmission rates

Notes

Farris 2014

At 30 d:

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

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

At 90 d:

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

Difference 1%; 95% CI − 5% to 8%

Gillespie 2009

At 12 months:

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

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

Goldman 2014

At 30 d:

I = 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:
I = 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

I = 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)

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%

Shaw 2000

At 90 d:
T = 5/51 (10%), C = 12/46 (26%)
OR 3.25; 95% CI 0.94 to 12.76, P = 0.06

Authors also report data for readmission due to non‐compliance with medication

At 3 months:
T = 4/51 (8%), C = 7/46 (15%)
Difference − 7%; 95% CI − 0.2 to 0.05

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



Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 3 Patients with a medical condition.

4 Patients who have had surgery Show forest plot

Other data

No numeric data

Analysis 2.4

Study

Readmission rates

Notes

Naylor 1994

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



Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 4 Patients who have had surgery.

5 Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

Analysis 2.5

Study

Readmissions

Mean time to readmission

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



Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 5 Patients with a mental health diagnosis.

Open in table viewer
Comparison 3. Effect of discharge planning on days in hospital due to unscheduled readmission

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

Analysis 3.1

Study

Days in hospital

Notes

Naylor 1994

Medical readmission days

2 weeks: T = 21 d (n = 72), C = 73 d (n = 70)
Difference − 52 d; 95% CI − 78 to − 26

2 to 6 weeks: T = 16 d (n = 72), C = 49 d (n = 70)
Difference − 33 d; 95% CI − 53 to − 13

6 to 12 weeks: T = 94 d (n = 72), C = 100 d (n = 70)
Difference − 6 d; 95% CI − 83 to 71

Weinberger 1996

Medical readmission days at 6 months follow up: T = 10.2 (19.8), C = 8.8 (19.7) difference 1.4 d, P = 0.04



Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 1 Patients with a medical condition.

2 Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

Analysis 3.2

Study

Days in hospital

Notes

Evans 1993

Readmission days at 9 months:
T = 10.1 ± 8.3, C = 12.1 ± 9.1, P = 0.001; 95% CI − 3.18 to − 0.82

Hendriksen 1990

T = 15.5 d per readmission
C = 13.5 d per readmission
P > 0.05

Not possible to calculate exact P

Rich 1993a

Days to first readmission

Overall: T = 31.8 (5.1) (n = 63), C = 42.1 (7.3) (n = 35)
Moderate‐risk group: T = 35.1 (9.0) (n = 40), C = 28.6 (7.2) (n = 21)
High‐risk group: T = 27.8 (3.5) (n = 23), C = 50.2 (10.5) (n = 14)



Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 2 Patients with a medical or surgical condition.

3 Patients with a surgical condition Show forest plot

Other data

No numeric data

Analysis 3.3

Study

Days in hospital

Notes

Naylor 1994

Surgical readmission days

2 weeks: T = 34 d (n = 68), C = 32 d (n = 66)
Difference 2 d; 95% CI − 13 to 17

2 to 6 weeks: T = 63 (n = 68), C = 52 (n = 66)
Difference 11 d; 95% CI − 20 to 52

6 to 12 weeks: T = 52 (n = 68), C = 26 (n = 66)
Difference 26 d; 95% CI − 8 to 60



Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 3 Patients with a surgical condition.

Open in table viewer
Comparison 4. Effect of discharge planning on patients' place of discharge

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients discharged from hospital to home Show forest plot

2

419

Risk Ratio (M‐H, Fixed, 95% CI)

1.03 [0.93, 1.14]

Analysis 4.1

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 1 Patients discharged from hospital to home.

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 1 Patients discharged from hospital to home.

2 Patients with a medical condition Show forest plot

Other data

No numeric data

Analysis 4.2

Study

Place of discharge

Notes

Goldman 2014

Discharged to an institutional 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 = 183/317

C = 191/348

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 4 Effect of discharge planning on patients' place of discharge, Outcome 2 Patients with a medical condition.

3 Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

Analysis 4.3

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 4 Effect of discharge planning on patients' place of discharge, Outcome 3 Patients with a medical or surgical condition.

4 Older patients admitted to hospital following a fall in residential care at 1 year Show forest plot

1

60

Odds Ratio (M‐H, Fixed, 95% CI)

0.46 [0.15, 1.40]

Analysis 4.4

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 4 Older patients admitted to hospital following a fall in residential care at 1 year.

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 4 Older patients admitted to hospital following a fall in residential care at 1 year.

Open in table viewer
Comparison 5. Effect of discharge planning on mortality

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality at 6 to 9 months Show forest plot

8

2654

Risk Ratio (M‐H, Fixed, 95% CI)

1.02 [0.83, 1.27]

Analysis 5.1

Comparison 5 Effect of discharge planning on mortality, Outcome 1 Mortality at 6 to 9 months.

Comparison 5 Effect of discharge planning on mortality, Outcome 1 Mortality at 6 to 9 months.

1.1 Older people with a medical condition

7

2594

Risk Ratio (M‐H, Fixed, 95% CI)

1.02 [0.82, 1.27]

1.2 Older people admitted to hospital following a fall

1

60

Risk Ratio (M‐H, Fixed, 95% CI)

1.33 [0.33, 5.45]

2 Mortality for trials recruiting both patients with a medical condition and those recovering from surgery Show forest plot

Other data

No numeric data

Analysis 5.2

Study

Mortality at 9 months

Notes

Evans 1993

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



Comparison 5 Effect of discharge planning on mortality, Outcome 2 Mortality for trials recruiting both patients with a medical condition and those recovering from surgery.

3 Mortality at 12 months Show forest plot

Other data

No numeric data

Analysis 5.3

Study

Mortality at 12 months

Notes

Gillespie 2009

T: 57/182 (31%); C: 61/186 (33%)

Difference − 2%, 95% CI − 11% to 8%



Comparison 5 Effect of discharge planning on mortality, Outcome 3 Mortality at 12 months.

Open in table viewer
Comparison 6. Effect of discharge planning on patient health outcomes

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patient‐reported outcomes: Patients with a medical condition Show forest plot

Other data

No numeric data

Analysis 6.1

Study

Patient health outcomes

Notes

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

Minnesota Living with Heart Failure Questionnaire (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

Kennedy 1987

Long Term Care Information System (LTCIS)

Health and functional status (also measures services required)

No data reported

Lainscak 2013

St. George’s Respiratory
Questionnaire (SGRQ)

Change from 7 to 180 d after discharge

T = 1.06 (95% CI 9.50 to 8.43), C = − 0.11 (95% CI − 11.34 to 8.12)

Complete data available for only approximately half of the patients.

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

Naylor 1994

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

No data reported for each group. Decline in functional status reported for all patients.

Functional status. Scale measured:

  • Mental status

  • Perception of health

  • Self‐esteem

  • Affect

Not possible to calculate exact P value

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

Preen 2005

SF‐12 (N not reported for follow‐up)

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

Rich 1995a

Chronic Heart Failure Questionnaire

Treatment N = 67, Control N = 59

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)

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.

Not possible to calculate exact P value

Weinberger 1996

At 1 month: no significant differences
P = 0.99

At 3 months: no significant differences
P = 0.53

SF‐36

No data shown



Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 1 Patient‐reported outcomes: Patients with a medical condition.

2 Patient‐reported outcomes: Patients with a surgical condition Show forest plot

Other data

No numeric data

Analysis 6.2

Study

Patient health outcomes

Notes

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.

 

Lin 2009

SF 36 Mean (SD)

Physical aspects

Pre‐test T: 74.09 (21.05), C: 68.15 (21.62)

Post‐test T: 49.05 (16.27), C: 39.56 (16.76)

Between group difference P = 0.09

Physical functioning

Pre‐test T: 74.80 (25.15), C: 73.33 (18.04)

Post‐test T: 55.77 (22.56), C: 51.46 (24.82)

Between group difference P = 0.60

Role physical

Pre‐test T: 66.34 (47.40), C: 65.63 (44.12)

Post‐test T:16.34 (34.60), C: 12.50 (33.78)

Between group difference P = 0.78

Bodily pain

Pre‐test T: 88.15 (18.48), C: 77.08 (22.44)

Post‐test T: 55.16 (23.20), C: 38.58 (27.68)

Between group difference p=0.009

General health perceptions

Pre‐test T: 67.03 (15.31), C: 56.54 (19.96)

Post‐test T: 68.46 (16.55), C: 55.70 (22.23)

Between group differences p=0.03

Mental aspects

Pre‐test T: 74.49 (16.66), C: 68.24 (15.09)

Post‐test T: 50.57 (18.72), C: 43.43 (17.28)

Between group difference P = 0.09

Mental health

Pre‐test T: 71.23 (12.18), C: 67.83 (12.28)

Post‐test T: 22.30 (10.31), C: 20.00 (11.62)

Between group difference P = 0.27

Role emotion

Pre‐test T: 76.92 (40.84), C: 68.05 (41.10)

Post‐test T: 52.56 (44.39), C: 54.16 (41.49)

Between group difference P = 0.71

Social functioning

Pre‐test T: 80.76 (15.09), C: 77.08 (15.93)

Post test T: 61.01 (24.32), C: 45.83 (20.41)

Between group difference P = 0.03

Vitality

Pre‐test T: 69.03 (12.88), C: 60.00 (11.70)

Post‐test T: 66.34 (16.94), C: 53.75 (21.93)

Between group difference P = 0.004

Naylor 1994

No differences between groups reported

No data reported

Naylor 1994



Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 2 Patient‐reported outcomes: Patients with a surgical condition.

3 Patient‐reported outcomes: Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

Analysis 6.3

Study

Patient health outcomes

Notes

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)

Pardessus 2002

Functional Autonomy Measurement System (SMAF)

At 6 months:
Mean scores T = 29.55 ± 2.64, C = 37.73 ± 2.40

At 12 months:
T = 31.76 ± 3.53, C = 39.25 ± 2.3

Katz ADL

At 6 months:
Mean scores T = 3.79 ± 0.32, C = 3.11 ± 0.27

At 12 months:
Means scores T = 3.84 ±  0.33, C = 2.76 ± 0.29

IADL

At 6 months:
Mean scores T = 2.41 ±  0.20, C = 2.96 ± 0.18

At 12 months:
T = 2.24 ± 0.19, C = 3.14 ± 0.16

The SMAF scale assesses seven fields of activities of daily living. It has 22 items with scores ranging from 0 (total independence) to 87 (total dependence)

The Katz ADL scale covers six ADLs, with scores ranging from 0 (totally dependent) to 6 (totally independent).



Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 3 Patient‐reported outcomes: Patients with a medical or surgical condition.

4 Falls at follow‐up: patients admitted to hospital following a fall Show forest plot

1

60

Risk Ratio (M‐H, Fixed, 95% CI)

0.87 [0.50, 1.49]

Analysis 6.4

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 4 Falls at follow‐up: patients admitted to hospital following a fall.

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 4 Falls at follow‐up: patients admitted to hospital following a fall.

5 Patient‐reported outcomes: Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

Analysis 6.5

Study

Patient health outcomes

Notes

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



Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 5 Patient‐reported outcomes: Patients with a mental health diagnosis.

Open in table viewer
Comparison 7. Effect of discharge planning on satisfaction with care process

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Satisfaction Show forest plot

Other data

No numeric data

Analysis 7.1

Study

Satisfaction

Notes

Patient and care givers' satisfaction

Laramee 2003

Mean hospital care: T = 4.2 (N = 120), C = 4.0 (N = 100), P = 0.003

Mean hospital discharge: T = 4.3 (N = 120), C = 4.0 (N = 100), P < 0.001

Mean care instructions: T = 4.0 (N = 120), C = 3.4 (N = 100), P < 0.001

Mean recovering at home: T = 4.4 (N = 120), C = 3.9 (N = 100), P < 0.001

Mean total score: T = 4.2 (N = 120), C = 3.8 (N = 100), P < 0.001

Lindpaintner 2013

Satisfaction with discharge process

At 5 d (median and IQR)

Patients: T = 1 (0), C = 1 (1‐2)

Carers: T = 1 (0), C = 1 (1‐2)

At 30 d

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

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

Nazareth 2001

Client satisfaction questionnaire score (1 = dissatisfied, 4 = satisfied)

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

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

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 d (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 d (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 7 Effect of discharge planning on satisfaction with care process, Outcome 1 Satisfaction.

1.1 Patient and care givers' satisfaction

Other data

No numeric data

1.2 Professional's satisfaction

Other data

No numeric data

Open in table viewer
Comparison 8. Effect of discharge planning on hospital care costs

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

Analysis 8.1

Study

Costs

Notes

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

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.

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)

Rich 1995a

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



Comparison 8 Effect of discharge planning on hospital care costs, Outcome 1 Patients with a medical condition.

2 Patients with a surgical condition Show forest plot

Other data

No numeric data

Analysis 8.2

Study

Costs

Notes

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)


Surgical readmission total charges (USD):

At 2 weeks:
T = 111,316
C = 104,768
Difference = 6548 (CI − 43 to 56)

2‐6 weeks:
T = 209,536
C = 170,248
Difference = 39,288 (CI − 66 to 144)

6‐12 weeks:
T = 170,248
C = 85,124
Difference = 85,124 (CI − 28 to 198)

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

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

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



Comparison 8 Effect of discharge planning on hospital care costs, Outcome 2 Patients with a surgical condition.

3 Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

Analysis 8.3

Study

Costs

Notes

Naji 1999

T = an additional GBP 1.14 per patient

Intervention can avert 3 outpatient appointments for every 10 patients

Telephone calls: T = 124/168 (86%), C = 19/175 (12%)



Comparison 8 Effect of discharge planning on hospital care costs, Outcome 3 Patients with a mental health diagnosis.

4 Patients admitted to a general medical service Show forest plot

Other data

No numeric data

Analysis 8.4

Study

Costs

Notes

Jack 2009

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

Legrain 2011

The cost savings balanced against the cost of the intervention reported to be EUR 519/patient

Legrain 2011

Total cost of adverse drug reactions‐related admissions (180 days follow‐up)

T = USD 487/participant

C = USD 1184/participant

P = 0.13



Comparison 8 Effect of discharge planning on hospital care costs, Outcome 4 Patients admitted to a general medical service.

5 Hospital outpatient department attendance Show forest plot

1

288

Risk Ratio (M‐H, Fixed, 95% CI)

1.07 [0.74, 1.56]

Analysis 8.5

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 5 Hospital outpatient department attendance.

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 5 Hospital outpatient department attendance.

6 First visits to the emergency room Show forest plot

2

740

Risk Ratio (M‐H, Fixed, 95% CI)

0.80 [0.61, 1.07]

Analysis 8.6

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 6 First visits to the emergency room.

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 6 First visits to the emergency room.

Open in table viewer
Comparison 9. Effect of discharge planning on primary and community care costs

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

Analysis 9.1

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%)

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 9 Effect of discharge planning on primary and community care costs, Outcome 1 Patients with a medical condition.

Open in table viewer
Comparison 10. Effect of discharge planning on medication use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Medication problems after being discharged from hospital Show forest plot

Other data

No numeric data

Analysis 10.1

Study

Number of problems

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

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)

Problems included difficulty obtaining a prescription from the GP; insufficient knowledge about medication; non‐compliance



Comparison 10 Effect of discharge planning on medication use, Outcome 1 Medication problems after being discharged from hospital.

2 Adherence to medicines Show forest plot

Other data

No numeric data

Analysis 10.2

Study

Adherence to medicines

Notes

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

Rich 1995a

Taking 80% or more of prescribed pills at 30 d after discharge

T = 117/142 (82.5%), C = 91/140  (64.9%)



Comparison 10 Effect of discharge planning on medication use, Outcome 2 Adherence to medicines.

3 Knowledge about medicines Show forest plot

Other data

No numeric data

Analysis 10.3

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 10 Effect of discharge planning on medication use, Outcome 3 Knowledge about medicines.

4 Hoarding of medicines Show forest plot

Other data

No numeric data

Analysis 10.4

Study

Hoarding

Notes

Bolas 2004

90% of people who brought drugs to the hospital were returned in the intervention group compared to 50% in the controls

Nazareth 2001

At 3 months:
T = 87, mean 0.006 (SD 0.04)
C = 82 mean 0.005 (SD 0.03)
Mean difference 0.001; 95% CI − 0.01 to 0.012

At 6 months
T = 70, mean 0.02 (SD 0.13)
C = 69 mean 0.013 (SD 0.06)
Mean difference 0.007; 95% CI − 0.013 to 0.27

0 = none
1 = total/highest level



Comparison 10 Effect of discharge planning on medication use, Outcome 4 Hoarding of medicines.

5 Prescription errors Show forest plot

Other data

No numeric data

Analysis 10.5

Study

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).

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)



Comparison 10 Effect of discharge planning on medication use, Outcome 5 Prescription errors.

6 Medication appropriateness Show forest plot

Other data

No numeric data

Analysis 10.6

Study

Medication appropriateness

Notes

Farris 2014

Discharge

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

30 d post‐discharge

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

P = 0.78

90 d post‐discharge

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

P = 0.94

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

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



Comparison 10 Effect of discharge planning on medication use, Outcome 6 Medication appropriateness.

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.

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

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 2 Sensitivity analysis imputing missing SD for Kennedy trial.
Figuras y tablas -
Analysis 1.2

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 2 Sensitivity analysis imputing missing SD for Kennedy trial.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 3 Hospital length of stay ‐ older surgical patients.
Figuras y tablas -
Analysis 1.3

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 3 Hospital length of stay ‐ older surgical patients.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 4 Hospital length of stay ‐ older medical and surgical patients.
Figuras y tablas -
Analysis 1.4

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 4 Hospital length of stay ‐ older medical and surgical patients.

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 1 Within 3 months of discharge from hospital.
Figuras y tablas -
Analysis 2.1

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 1 Within 3 months of discharge from hospital.

Study

Readmission rates

Notes

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

Figuras y tablas -
Analysis 2.2

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 2 Patients with medical or surgical condition.

Study

Readmission rates

Notes

Farris 2014

At 30 d:

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

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

At 90 d:

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

Difference 1%; 95% CI − 5% to 8%

Gillespie 2009

At 12 months:

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

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

Goldman 2014

At 30 d:

I = 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:
I = 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

I = 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)

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%

Shaw 2000

At 90 d:
T = 5/51 (10%), C = 12/46 (26%)
OR 3.25; 95% CI 0.94 to 12.76, P = 0.06

Authors also report data for readmission due to non‐compliance with medication

At 3 months:
T = 4/51 (8%), C = 7/46 (15%)
Difference − 7%; 95% CI − 0.2 to 0.05

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

Figuras y tablas -
Analysis 2.3

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 3 Patients with a medical condition.

Study

Readmission rates

Notes

Naylor 1994

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

Figuras y tablas -
Analysis 2.4

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 4 Patients who have had surgery.

Study

Readmissions

Mean time to readmission

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

Figuras y tablas -
Analysis 2.5

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 5 Patients with a mental health diagnosis.

Study

Days in hospital

Notes

Naylor 1994

Medical readmission days

2 weeks: T = 21 d (n = 72), C = 73 d (n = 70)
Difference − 52 d; 95% CI − 78 to − 26

2 to 6 weeks: T = 16 d (n = 72), C = 49 d (n = 70)
Difference − 33 d; 95% CI − 53 to − 13

6 to 12 weeks: T = 94 d (n = 72), C = 100 d (n = 70)
Difference − 6 d; 95% CI − 83 to 71

Weinberger 1996

Medical readmission days at 6 months follow up: T = 10.2 (19.8), C = 8.8 (19.7) difference 1.4 d, P = 0.04

Figuras y tablas -
Analysis 3.1

Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 1 Patients with a medical condition.

Study

Days in hospital

Notes

Evans 1993

Readmission days at 9 months:
T = 10.1 ± 8.3, C = 12.1 ± 9.1, P = 0.001; 95% CI − 3.18 to − 0.82

Hendriksen 1990

T = 15.5 d per readmission
C = 13.5 d per readmission
P > 0.05

Not possible to calculate exact P

Rich 1993a

Days to first readmission

Overall: T = 31.8 (5.1) (n = 63), C = 42.1 (7.3) (n = 35)
Moderate‐risk group: T = 35.1 (9.0) (n = 40), C = 28.6 (7.2) (n = 21)
High‐risk group: T = 27.8 (3.5) (n = 23), C = 50.2 (10.5) (n = 14)

Figuras y tablas -
Analysis 3.2

Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 2 Patients with a medical or surgical condition.

Study

Days in hospital

Notes

Naylor 1994

Surgical readmission days

2 weeks: T = 34 d (n = 68), C = 32 d (n = 66)
Difference 2 d; 95% CI − 13 to 17

2 to 6 weeks: T = 63 (n = 68), C = 52 (n = 66)
Difference 11 d; 95% CI − 20 to 52

6 to 12 weeks: T = 52 (n = 68), C = 26 (n = 66)
Difference 26 d; 95% CI − 8 to 60

Figuras y tablas -
Analysis 3.3

Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 3 Patients with a surgical condition.

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 1 Patients discharged from hospital to home.
Figuras y tablas -
Analysis 4.1

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 1 Patients discharged from hospital to home.

Study

Place of discharge

Notes

Goldman 2014

Discharged to an institutional 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 = 183/317

C = 191/348

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 4.2

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 2 Patients with a medical 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 4.3

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 3 Patients with a medical or surgical condition.

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 4 Older patients admitted to hospital following a fall in residential care at 1 year.
Figuras y tablas -
Analysis 4.4

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 4 Older patients admitted to hospital following a fall in residential care at 1 year.

Comparison 5 Effect of discharge planning on mortality, Outcome 1 Mortality at 6 to 9 months.
Figuras y tablas -
Analysis 5.1

Comparison 5 Effect of discharge planning on mortality, Outcome 1 Mortality at 6 to 9 months.

Study

Mortality at 9 months

Notes

Evans 1993

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

Figuras y tablas -
Analysis 5.2

Comparison 5 Effect of discharge planning on mortality, Outcome 2 Mortality for trials recruiting both patients with a medical condition and those recovering from surgery.

Study

Mortality at 12 months

Notes

Gillespie 2009

T: 57/182 (31%); C: 61/186 (33%)

Difference − 2%, 95% CI − 11% to 8%

Figuras y tablas -
Analysis 5.3

Comparison 5 Effect of discharge planning on mortality, Outcome 3 Mortality at 12 months.

Study

Patient health outcomes

Notes

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

Minnesota Living with Heart Failure Questionnaire (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

Kennedy 1987

Long Term Care Information System (LTCIS)

Health and functional status (also measures services required)

No data reported

Lainscak 2013

St. George’s Respiratory
Questionnaire (SGRQ)

Change from 7 to 180 d after discharge

T = 1.06 (95% CI 9.50 to 8.43), C = − 0.11 (95% CI − 11.34 to 8.12)

Complete data available for only approximately half of the patients.

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

Naylor 1994

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

No data reported for each group. Decline in functional status reported for all patients.

Functional status. Scale measured:

  • Mental status

  • Perception of health

  • Self‐esteem

  • Affect

Not possible to calculate exact P value

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

Preen 2005

SF‐12 (N not reported for follow‐up)

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

Rich 1995a

Chronic Heart Failure Questionnaire

Treatment N = 67, Control N = 59

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)

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.

Not possible to calculate exact P value

Weinberger 1996

At 1 month: no significant differences
P = 0.99

At 3 months: no significant differences
P = 0.53

SF‐36

No data shown

Figuras y tablas -
Analysis 6.1

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 1 Patient‐reported outcomes: Patients with a medical condition.

Study

Patient health outcomes

Notes

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.

 

Lin 2009

SF 36 Mean (SD)

Physical aspects

Pre‐test T: 74.09 (21.05), C: 68.15 (21.62)

Post‐test T: 49.05 (16.27), C: 39.56 (16.76)

Between group difference P = 0.09

Physical functioning

Pre‐test T: 74.80 (25.15), C: 73.33 (18.04)

Post‐test T: 55.77 (22.56), C: 51.46 (24.82)

Between group difference P = 0.60

Role physical

Pre‐test T: 66.34 (47.40), C: 65.63 (44.12)

Post‐test T:16.34 (34.60), C: 12.50 (33.78)

Between group difference P = 0.78

Bodily pain

Pre‐test T: 88.15 (18.48), C: 77.08 (22.44)

Post‐test T: 55.16 (23.20), C: 38.58 (27.68)

Between group difference p=0.009

General health perceptions

Pre‐test T: 67.03 (15.31), C: 56.54 (19.96)

Post‐test T: 68.46 (16.55), C: 55.70 (22.23)

Between group differences p=0.03

Mental aspects

Pre‐test T: 74.49 (16.66), C: 68.24 (15.09)

Post‐test T: 50.57 (18.72), C: 43.43 (17.28)

Between group difference P = 0.09

Mental health

Pre‐test T: 71.23 (12.18), C: 67.83 (12.28)

Post‐test T: 22.30 (10.31), C: 20.00 (11.62)

Between group difference P = 0.27

Role emotion

Pre‐test T: 76.92 (40.84), C: 68.05 (41.10)

Post‐test T: 52.56 (44.39), C: 54.16 (41.49)

Between group difference P = 0.71

Social functioning

Pre‐test T: 80.76 (15.09), C: 77.08 (15.93)

Post test T: 61.01 (24.32), C: 45.83 (20.41)

Between group difference P = 0.03

Vitality

Pre‐test T: 69.03 (12.88), C: 60.00 (11.70)

Post‐test T: 66.34 (16.94), C: 53.75 (21.93)

Between group difference P = 0.004

Naylor 1994

No differences between groups reported

No data reported

Naylor 1994

Figuras y tablas -
Analysis 6.2

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 2 Patient‐reported outcomes: Patients with a surgical condition.

Study

Patient health outcomes

Notes

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)

Pardessus 2002

Functional Autonomy Measurement System (SMAF)

At 6 months:
Mean scores T = 29.55 ± 2.64, C = 37.73 ± 2.40

At 12 months:
T = 31.76 ± 3.53, C = 39.25 ± 2.3

Katz ADL

At 6 months:
Mean scores T = 3.79 ± 0.32, C = 3.11 ± 0.27

At 12 months:
Means scores T = 3.84 ±  0.33, C = 2.76 ± 0.29

IADL

At 6 months:
Mean scores T = 2.41 ±  0.20, C = 2.96 ± 0.18

At 12 months:
T = 2.24 ± 0.19, C = 3.14 ± 0.16

The SMAF scale assesses seven fields of activities of daily living. It has 22 items with scores ranging from 0 (total independence) to 87 (total dependence)

The Katz ADL scale covers six ADLs, with scores ranging from 0 (totally dependent) to 6 (totally independent).

Figuras y tablas -
Analysis 6.3

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 3 Patient‐reported outcomes: Patients with a medical or surgical condition.

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 4 Falls at follow‐up: patients admitted to hospital following a fall.
Figuras y tablas -
Analysis 6.4

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 4 Falls at follow‐up: patients admitted to hospital following a fall.

Study

Patient health outcomes

Notes

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

Figuras y tablas -
Analysis 6.5

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 5 Patient‐reported outcomes: Patients with a mental health diagnosis.

Study

Satisfaction

Notes

Patient and care givers' satisfaction

Laramee 2003

Mean hospital care: T = 4.2 (N = 120), C = 4.0 (N = 100), P = 0.003

Mean hospital discharge: T = 4.3 (N = 120), C = 4.0 (N = 100), P < 0.001

Mean care instructions: T = 4.0 (N = 120), C = 3.4 (N = 100), P < 0.001

Mean recovering at home: T = 4.4 (N = 120), C = 3.9 (N = 100), P < 0.001

Mean total score: T = 4.2 (N = 120), C = 3.8 (N = 100), P < 0.001

Lindpaintner 2013

Satisfaction with discharge process

At 5 d (median and IQR)

Patients: T = 1 (0), C = 1 (1‐2)

Carers: T = 1 (0), C = 1 (1‐2)

At 30 d

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

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

Nazareth 2001

Client satisfaction questionnaire score (1 = dissatisfied, 4 = satisfied)

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

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

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 d (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 d (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 7.1

Comparison 7 Effect of discharge planning on satisfaction with care process, Outcome 1 Satisfaction.

Study

Costs

Notes

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

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.

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)

Rich 1995a

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

Figuras y tablas -
Analysis 8.1

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 1 Patients with a medical condition.

Study

Costs

Notes

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)


Surgical readmission total charges (USD):

At 2 weeks:
T = 111,316
C = 104,768
Difference = 6548 (CI − 43 to 56)

2‐6 weeks:
T = 209,536
C = 170,248
Difference = 39,288 (CI − 66 to 144)

6‐12 weeks:
T = 170,248
C = 85,124
Difference = 85,124 (CI − 28 to 198)

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

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

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

Figuras y tablas -
Analysis 8.2

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 2 Patients with a surgical condition.

Study

Costs

Notes

Naji 1999

T = an additional GBP 1.14 per patient

Intervention can avert 3 outpatient appointments for every 10 patients

Telephone calls: T = 124/168 (86%), C = 19/175 (12%)

Figuras y tablas -
Analysis 8.3

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 3 Patients with a mental health diagnosis.

Study

Costs

Notes

Jack 2009

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

Legrain 2011

The cost savings balanced against the cost of the intervention reported to be EUR 519/patient

Legrain 2011

Total cost of adverse drug reactions‐related admissions (180 days follow‐up)

T = USD 487/participant

C = USD 1184/participant

P = 0.13

Figuras y tablas -
Analysis 8.4

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 4 Patients admitted to a general medical service.

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 5 Hospital outpatient department attendance.
Figuras y tablas -
Analysis 8.5

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 5 Hospital outpatient department attendance.

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 6 First visits to the emergency room.
Figuras y tablas -
Analysis 8.6

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 6 First visits to the emergency room.

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%)

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 9.1

Comparison 9 Effect of discharge planning on primary and community care costs, Outcome 1 Patients with a medical condition.

Study

Number of problems

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

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)

Problems included difficulty obtaining a prescription from the GP; insufficient knowledge about medication; non‐compliance

Figuras y tablas -
Analysis 10.1

Comparison 10 Effect of discharge planning on medication use, Outcome 1 Medication problems after being discharged from hospital.

Study

Adherence to medicines

Notes

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

Rich 1995a

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 10.2

Comparison 10 Effect of discharge planning on medication use, Outcome 2 Adherence to 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 10.3

Comparison 10 Effect of discharge planning on medication use, Outcome 3 Knowledge about medicines.

Study

Hoarding

Notes

Bolas 2004

90% of people who brought drugs to the hospital were returned in the intervention group compared to 50% in the controls

Nazareth 2001

At 3 months:
T = 87, mean 0.006 (SD 0.04)
C = 82 mean 0.005 (SD 0.03)
Mean difference 0.001; 95% CI − 0.01 to 0.012

At 6 months
T = 70, mean 0.02 (SD 0.13)
C = 69 mean 0.013 (SD 0.06)
Mean difference 0.007; 95% CI − 0.013 to 0.27

0 = none
1 = total/highest level

Figuras y tablas -
Analysis 10.4

Comparison 10 Effect of discharge planning on medication use, Outcome 4 Hoarding of medicines.

Study

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).

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)

Figuras y tablas -
Analysis 10.5

Comparison 10 Effect of discharge planning on medication use, Outcome 5 Prescription errors.

Study

Medication appropriateness

Notes

Farris 2014

Discharge

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

30 d post‐discharge

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

P = 0.78

90 d post‐discharge

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

P = 0.94

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

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

Figuras y tablas -
Analysis 10.6

Comparison 10 Effect of discharge planning on medication use, Outcome 6 Medication appropriateness.

Summary of findings for the main comparison. Effect of discharge planning on readmission and hospital length of stay

Effect of discharge planning on patients admitted to hospital with a medical condition

Patient or population: patients admitted to hospital
Settings: hospital
Intervention: discharge planning

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

Unscheduled readmission within 3 months of discharge from hospital

Study population admitted with a medical condition

RR 0.87
(0.79 to 0.97)

4743
(15)

⊕⊕⊕⊝
moderatea

254 per 1000

221 per 1000
(200 to 246)

Moderate risk population

285 per 1000

248 per 1000
(225 to 276)

Study population admitted following a fall

RR 1.36

(0.46 to 4.01)

110

(2)

⊕⊝⊝⊝

very lowb

93 per 1000

126 per 1000

(43 to 371)

Moderate risk population

92 per 1000

125 per 1000

(42 to 369)

Hospital length of stay
Follow‐up: 3 to 6 months

Study population admitted with a medical condition

2193
(12 studies)

⊕⊕⊕⊝
moderated

The mean hospital length of stay ranged across control groups from
5.2 to 12.4 daysc

The mean hospital length of stay in the intervention groups was
0.73 lower
(95% CI 1.33 to 0.12 lower)

Satisfaction

Discharge planning may lead to increased satisfaction for patients and healthcare professionals.

6 studies

⊕⊕⊝⊝

low

Patient satisfaction was measured in different ways, and findings were not consistent across studies. Only 6/30 studies reported data for this outcome.

Costs

A lower readmission rate for those receiving discharge planning may be associated with lower health service costs in the short term. Differences in use of primary care varied.

5 studies

⊕⊝⊝⊝

very low

Findings were inconsistent. Healthcare resources that were assessed varied among studies, e.g., primary care visits, readmission, length of stay, laboratory services, medication, diagnostic imaging. The charges used to cost the healthcare resources also varied.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. 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).
CI: Confidence interval; RR: Risk ratio.

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.

aThe evidence was downgraded to moderate as allocation concealment was unclear for 5 of the 15 trials.
bThe evidence was downgraded because of imprecision in the results due to 2 small trials.
cThe range excludes length of stay of 45 days reported by Sulch, as this was an outlier.
dThe evidence was downgraded to moderate as concealment of random allocation was unclear for 6 of the 11 trials.

Figuras y tablas -
Summary of findings for the main comparison. Effect of discharge planning on readmission and hospital length of stay
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 Hospital length of stay ‐ older patients with a medical condition Show forest plot

12

2193

Mean Difference (IV, Fixed, 95% CI)

‐0.73 [‐1.33, ‐0.12]

2 Sensitivity analysis imputing missing SD for Kennedy trial Show forest plot

11

1825

Mean Difference (IV, Fixed, 95% CI)

‐0.98 [‐1.57, ‐0.38]

3 Hospital length of stay ‐ older surgical patients Show forest plot

2

184

Mean Difference (IV, Fixed, 95% CI)

‐0.06 [‐1.23, 1.11]

4 Hospital length of stay ‐ older medical and surgical patients Show forest plot

2

1108

Mean Difference (IV, Fixed, 95% CI)

‐0.60 [‐2.38, 1.18]

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

1 Within 3 months of discharge from hospital Show forest plot

17

4853

Risk Ratio (M‐H, Fixed, 95% CI)

0.88 [0.79, 0.97]

1.1 Unscheduled readmission for those with a medical condition

15

4743

Risk Ratio (M‐H, Fixed, 95% CI)

0.87 [0.79, 0.97]

1.2 Older people admitted to hospital following a fall

2

110

Risk Ratio (M‐H, Fixed, 95% CI)

1.36 [0.46, 4.01]

2 Patients with medical or surgical condition Show forest plot

Other data

No numeric data

3 Patients with a medical condition Show forest plot

Other data

No numeric data

4 Patients who have had surgery Show forest plot

Other data

No numeric data

5 Patients with a mental health diagnosis Show forest plot

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 days in hospital due to unscheduled readmission

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

2 Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

3 Patients with a surgical condition Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 3. Effect of discharge planning on days in hospital due to unscheduled readmission
Comparison 4. Effect of discharge planning on patients' place of discharge

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients discharged from hospital to home Show forest plot

2

419

Risk Ratio (M‐H, Fixed, 95% CI)

1.03 [0.93, 1.14]

2 Patients with a medical condition Show forest plot

Other data

No numeric data

3 Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

4 Older patients admitted to hospital following a fall in residential care at 1 year Show forest plot

1

60

Odds Ratio (M‐H, Fixed, 95% CI)

0.46 [0.15, 1.40]

Figuras y tablas -
Comparison 4. Effect of discharge planning on patients' place of discharge
Comparison 5. Effect of discharge planning on mortality

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality at 6 to 9 months Show forest plot

8

2654

Risk Ratio (M‐H, Fixed, 95% CI)

1.02 [0.83, 1.27]

1.1 Older people with a medical condition

7

2594

Risk Ratio (M‐H, Fixed, 95% CI)

1.02 [0.82, 1.27]

1.2 Older people admitted to hospital following a fall

1

60

Risk Ratio (M‐H, Fixed, 95% CI)

1.33 [0.33, 5.45]

2 Mortality for trials recruiting both patients with a medical condition and those recovering from surgery Show forest plot

Other data

No numeric data

3 Mortality at 12 months Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 5. Effect of discharge planning on mortality
Comparison 6. Effect of discharge planning on patient health outcomes

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patient‐reported outcomes: Patients with a medical condition Show forest plot

Other data

No numeric data

2 Patient‐reported outcomes: Patients with a surgical condition Show forest plot

Other data

No numeric data

3 Patient‐reported outcomes: Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

4 Falls at follow‐up: patients admitted to hospital following a fall Show forest plot

1

60

Risk Ratio (M‐H, Fixed, 95% CI)

0.87 [0.50, 1.49]

5 Patient‐reported outcomes: Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 6. Effect of discharge planning on patient health outcomes
Comparison 7. Effect of discharge planning on satisfaction with care process

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Satisfaction Show forest plot

Other data

No numeric data

1.1 Patient and care givers' satisfaction

Other data

No numeric data

1.2 Professional's satisfaction

Other data

No numeric data

Figuras y tablas -
Comparison 7. Effect of discharge planning on satisfaction with care process
Comparison 8. Effect of discharge planning on hospital care costs

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

2 Patients with a surgical condition Show forest plot

Other data

No numeric data

3 Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

4 Patients admitted to a general medical service Show forest plot

Other data

No numeric data

5 Hospital outpatient department attendance Show forest plot

1

288

Risk Ratio (M‐H, Fixed, 95% CI)

1.07 [0.74, 1.56]

6 First visits to the emergency room Show forest plot

2

740

Risk Ratio (M‐H, Fixed, 95% CI)

0.80 [0.61, 1.07]

Figuras y tablas -
Comparison 8. Effect of discharge planning on hospital care costs
Comparison 9. Effect of discharge planning on primary and community care costs

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 9. Effect of discharge planning on primary and community care costs
Comparison 10. Effect of discharge planning on medication use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Medication problems after being discharged from hospital Show forest plot

Other data

No numeric data

2 Adherence to medicines Show forest plot

Other data

No numeric data

3 Knowledge about medicines Show forest plot

Other data

No numeric data

4 Hoarding of medicines Show forest plot

Other data

No numeric data

5 Prescription errors Show forest plot

Other data

No numeric data

6 Medication appropriateness Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 10. Effect of discharge planning on medication use