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Intervenciones para optimizar la prescripción para personas de edad avanzada en residencias geriátricas

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References

References to studies included in this review

Claesson 1998 {published data only}

Claesson CB, Schmidt IK. Drug use in Swedish nursing homes. Clinical Drug Investigation 1998;16(6):441‐52.
Schmidt IK, Claesson CB, Westerholm B, Nilsson LG. Physician and staff assessments of drug interventions and outcomes in Swedish nursing homes. Annals of Pharmacotherapy 1998;32:27‐32.

Connolly 2015 {published data only}

Connolly MJ, Boyd M, Broad JB, Kerse N, Lumley T, Whitehead N, et al. The Aged Residential Care Healthcare Utilization Study (ARCHUS): a multidisciplinary, cluster randomized controlled trial designed to reduce acute avoidable hospitalizations from long‐term care facilities. Journal of the American Medical Directors Association 2015;16(1):49‐55.
Foster SJ, Boyd M, Broad JB, Whitehead N, Kerse N, Lumley T, et al. Aged Residential Care Health Utilisation Study (ARCHUS): a randomised controlled trial to reduce acute hospitalisations from residential aged care. BMC Geriatrics 2012;12:54.

Crotty 2004a {published data only}

Crotty M, Halbert J, Rowett D, Giles L, Birks R, Williams H, et al. An outreach geriatric medicine advisory service in residential aged care: a randomised controlled trial of case conferencing. Age and Ageing 2004;33:612‐7. [DOI: 10.1093/ageing/afh213]

Crotty 2004b {published data only}

Crotty M, Rowett D, Spurling L, Giles LC, Phillips PA. Does the addition of a pharmacist transition coordinator improve evidence‐based medication management and health outcomes in older adults moving from the hospital to a long‐term care facility? Results of a randomized, controlled trial. The American Journal of Geriatric Pharmacotherapy 2004;2(4):257‐64. [DOI: 10.1016/j.amjopharm.2005.01.001]

Frankenthal 2014 {published data only}

Frankenthal D, Lerman Y, Kalendaryev E, Lerman Y. Intervention with the screening tool of older persons potentially inappropriate prescriptions/screening tool to alert doctors to right treatment criteria in elderly residents of a chronic geriatric facility: a randomized clinical trial. Journal of the American Geriatrics Society 2014;62(9):1658‐65.

Furniss 2000 {published data only}

Burns A, Furniss L, Cooke J, Lloyd Craig SK, Scobie S. Pharmacist medication review in nursing homes: a cost analysis. International Journal of Geriatric Psychopharmacology 2000;2:137‐41.
Furniss L, Burns A, Craig SKL, Scobie S, Cooke J, Faragher B. Effect of a pharmacist's medication review in nursing homes: randomised controlled trial. The British Journal of Psychiatry 2000;176:563‐7. [DOI: 10.1192/bjp.176.6.563]
Furniss L, Craig S, Scobie S, Cooke J, Burns A. Medication reviews in nursing homes: documenting and classifying the activities of a pharmacist. Pharmaceutical Journal 1998;261(7009):320‐3.

Garcia‐Gollarte 2014 {published data only}

Garcia‐Gollarte F, Baleriola‐Julvez J, Ferrero‐Lopez I, Cuenllas‐Diaz A, Cruz‐Jentoft AJ. An educational intervention on drug use in nursing homes improves health outcomes resource utilization and reduces inappropriate drug prescription. Journal of the American Medical Directors Association 2014;15(12):885‐91.

Gurwitz 2008 {published data only}

Gurwitz JH, Field TS, Rochon P, Judge J, Harrold LR, Bell CM, et al. Effect of computerised provider order entry with clinical decision support on adverse drug events in the long‐term care setting. Journal of the American Geriatrics Society 2008;56:2225‐33.
Judge J, Field TS, DeFlorio M, Laprino J, Auger J, Rochon P, et al. Prescribers' responses to alerts during medication ordering in the long term care setting. Journal of the American Medical Informatics Association 2006;13:385‐90.

Pitkala 2014 {published data only}

Pitkala KH, Juola AL, Kautiainen H, Soini H, Finne‐Soveri UH, Bell JS, et al. Education to reduce potentially harmful medication use among residents of assisted living facilities: a randomized controlled trial. Journal of the American Medical Directors Association 2014;15(12):892‐8.

Roberts 2001 {published data only}

Roberts M, Stokes JA, King MA, Lynne TA, Purdie DM, Glasziou PP, et al. Outcomes of a randomized controlled trial of a clinical pharmacy intervention in 52 nursing homes. British Journal of Clinical Pharmacology 2001;51:257‐65.

Strikwerda 1994 {published data only}

Strikwerda P, Bootsma‐De Langen AM, Berghuis F, Meyboom‐de Jong B. Drug therapy in a nursing home; favorable effect of feedback by the pharmacist on family physician's prescribing behavior [Farmacotherapie in een verzorgingshuis; gunstige invloed van feed‐back door de apotheker op het voorschrijfgedrag van de huisarts]. Nederlands Tijdschrift voor Geneeskunde 1994;138(35):1770‐4.

Zermansky 2006 {published data only}

Alldred DP, Zermansky AG, Petty DR, Raynor DK, Freemantle N, Eastaugh J, et al. Clinical medication review by a pharmacist of elderly people living in care homes: pharmacist interventions. International Journal of Pharmacy Practice 2007;13:93‐9. [DOI: 10.1211/ijpp.15.2.0003]
Zermansky AG, Alldred DP, Petty DR, Raynor DK, Freemantle N, Eastaugh J, et al. Clinical medication review by a pharmacist of elderly people living in care homes ‐ randomised controlled trial. Age and Ageing 2006;35:586‐91. [DOI: 10.1093/ageing/afl075; ISRCTN: 45416155]

References to studies excluded from this review

Avorn 1992 {published data only}

Avorn J, Soumerai SB, Everitt DE, Ross‐Degnan D, Beers MH, Sherman D, Salem‐Schatz SR, Fields D. A Randomized Trial of a Program to Reduce the Use of Psychoactive Drugs in Nursing Homes. New England Journal of Medicine 1992;327(3):168‐73.

Crotty 2004c {published data only}

Crotty M, Whitehead C, Rowett D, Halbert J, Weller D, Finucane P, et al. An outreach intervention to implement evidence based practice in residential care: a randomized controlled trial. BMC Health Services Research 2004;4:6. [DOI: doi:10.1186/1472‐6963‐4‐6]

Lapane 2011 {published data only}

Lapane KL, Hughes CM, Daiello LA, Cameron, KA, Feinberg J. Effect of a pharmacist‐led multicomponent intervention focusing on the medication monitoring phase to prevent potential adverse drug events in nursing homes. Journal of the American Geriatrics Society 2011;59(7):1238‐45.

Milos 2013 {published data only}

Milos V, Rekman E, Bondesson A, Eriksson T, Jakobsson U, Westerlund T, et al. Improving the quality of pharmacotherapy in elderly primary care patients through medication reviews: a randomised controlled study. Drugs & Aging 2013;30(4):235‐46.

Desborough ongoing {published data only}

Desborough J, Houghton J, Wood J, Wright D, Holland R, Sach T, et al. Multi‐professional clinical medication reviews in care homes for the elderly: study protocol for a randomised controlled trial with cost effectiveness analysis. Trials 2011;12:218. [ISRCTN: 90761620]

NCT02238652 {published data only}

NCT02238652. Improving quality of life in nursing home residents: a cluster randomized clinical trial of efficacy. https://clinicaltrials.gov/ct2/show/NCT02238652 2014 (accessed 29 January 2016). [CTG: NCT02238652]

Wouters ongoing {published data only}

Wouters H, Quik EH, Boersma F, Nygard P, Bosman J, Bottger WM, Mulder H, Maring JG, Wijma‐Vos L, Beerden T, van Doormaal J, Postma MJ, Zuidema SU, Taxis K. Discontinuing inappropriate medication in nursing home residents (DIM‐NHR study): Protocol of a cluster randomised controlled trial. BMJ Open 2014;4(10):1. [CTG: NCT01876095; DOI: 1136/bmjopen‐2014‐006082]

Alldred 2007a

Alldred DP, Petty DR, Bowie P, Zermansky AG, Raynor DK. Antipsychotic prescribing patterns in care homes and relationship with dementia. Psychiatric Bulletin 2007;31(9):329‐32.

Alldred 2007b

Alldred DP, Zermansky AG, Petty DR, Raynor DK, Freemantle N, Eastaugh J, et al. Clinical medication review by a pharmacist of elderly people living in care homes: Pharmacist interventions. International Journal of Pharmacy Practice 2007;15(2):93‐9.

Armour 2002

Armour D, Cairns C (editors). Medicines in the Elderly. London: The Pharmaceutical Press, 2002.

Barber 2009

Barber ND, Alldred DP, Raynor DK, Dickinson R, Garfield S, Jesson B, et al. Care homes' use of medicines study: prevalence, causes and potential harm of medication errors in care homes for older people. Quality and Safety in Health Care 2009;18:341‐6.

Beers 1992

Beers MH, Ouslander JG, Fingold SF, Morgenstern H, Reuben DB, Rogers W, et al. Inappropriate medication prescribing in skilled nursing‐home facilities. Annals of Internal Medicine 1992;117:684‐9.

Beglinger 2008

Beglinger C. Ethics related to drug therapy in the elderly. Digestive Diseases 2008;26(1):28‐31.

Brymer 2003

Brymer C, Borrie MJ, Crilly RG, Hindman D, Esbaugh J, Pavlakovic R, et al. Prevalence of and factors associated with potentially inappropriate prescribing in long‐term care facilities. Journal of the Canadian Geriatric Society 2003;6:146‐52.

Christensen 2011

Christensen M, Lundh A. Medication review of hospitalized patients to prevent morbidity and mortality. Cochrane Database of Systematic Reviews 2011, Issue 2. [DOI: 10.1002/14651858.CD008986]

Department of Health 2001

Department of Health. National Service Framework for Older People. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/198033/National_Service_Framework_for_Older_People.pdf.. London: Department of Health, 2001 (accessed 29 January 2016).

EPOC 2013

Effective Practice, Organisation of Care (EPOC). Data collection form. EPOC Resources for review authors. Oslo: Norwegian Knowledge Centre for the Health Services. http://www.epoc.cochrane.org/epoc‐specific‐resources‐review‐authors. Oslo, 2013.

EPOC 2015

Effective Practice, Organisation of Care (EPOC). Suggested risk of bias criteria for EPOC reviews. EPOC resources for review authors. http://www.epoc.cochrane.org/epoc‐specific‐resources‐review‐authors. Oslo: Norwegian Knowledge Centre for the Health Services, 2015.

Fahey 2003

Fahey T, Montgomery AA, Barnes J, Protheroe J. Quality of care for elderly residents in nursing homes and elderly people living at home: controlled observational study. BMJ 2003;326:580‐4.

Gallagher 2008

Gallagher P, Ryan C, Byrne S, Kennedy, J O'Mahony D. STOPP (Screening Tool of Older Person’s Prescriptions) and START (Screening Tool to Alert doctors to Right Treatment). Consensus validation. International Journal of Clinical Pharmacology and Therapeutics 2008;46:72‐83.

GRADE 2012

GRADE. Grading of Recommendations Assessment, Development and Evaluation Working Group. http://www.gradeworkinggroup.org/ (accessed 29 January 2016).

Gray 2003

Gray SL, Hedrick SC, Rhinard EE, Sales AE, Sullivan JH, Tomatore JB, et al. Potentially inappropriate medication use in community residential care facilities. The Annals of Pharmacotherapy 2003;37:988‐93.

Gurwitz 2005

Gurwitz JH, Field TS, Judge J, Rochon P, Harrold LR, Cadoret C, et al. The incidence of adverse drug events in two large academic long‐term care facilities. The American Journal of Medicine 2005;118:251‐8.

Hanlon 1992

Hanlon JT, Schmader KE, Samsa GP, Weinberger M, Uttech KM, Lewis IK, et al. A method for assessing drug therapy appropriateness. Journal of Clinical Epidemiology 1992;45(10):1045‐51.

Hanlon 1996

Hanlon JT, Weinberger M, Samsa GP, Schmader KE, Uttech KM, Lewis IK, et al. A randomised controlled trial of a clinical pharmacist intervention with elderly outpatients with polypharmacy. American Journal of Medicine 1996;100:428‐37.

Higgins 2011

Higgins JPT, Altman DG, Sterne JAC (editors). Chapter 8: Assessing risk of bias in included studies. In: 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.. The Cochrane Collaboration.

Howard 2007

Howard RL, Avery AJ, Slavenburg S, Royal S, Pipe G, Lucassen P, et al. Which drugs cause preventable admission to hospital? A systematic review. British Journal of Clinical Pharmacology 2007;63:136‐47.

Kaur 2009

Kaur S, Mitchell G, Vitetta L, Roberts MS. Interventions that can reduce inappropriate prescribing in the elderly. Drugs & Aging 2009;26(12):1013‐28.

LaMantia 2010

LaMantia MA, Schernemann LP, Viera AJ, Busby‐Whitehead J, Hanson LC. Interventions to improve transitional care between nursing homes and hospitals: a systematic review. Journal of the American Geriatrics Society 2010;58:777‐82.

Lau 2005

Lau DT, Kasper JD, Potter DEB, Lyles A, Bennett RG. Hospitalization and death associated with potentially inappropriate medication prescriptions among elderly nursing home residents. Archives of Internal Medicine 2005;165:68‐74.

Liberati 2009

Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta‐analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Medicine 2009;6:e1000100.

Loganathan 2011

Longanathan M, Singh S, Dean Franklin B, Bottle A, Majeed A. Interventions to optimise prescribing in care homes: systematic review. Age and Ageing 2011;40:150‐62.

Markum 2010

Markum ZA, Handler SM, Wright R, Hanlon JT. Interventions to improve suboptimal prescribing in nursing homes: a narrative review. The American Journal of Geriatric Pharmacotherapy 2010;8(3):183‐200.

Matthews 2002

Matthews FE, Dening T. Prevalence of dementia in institutional care. Lancet 2002;360:225‐6.

Oborne 2003

Oborne CA, Hooper R, Swift GC, Jackson SD. Explicit, evidence‐based criteria to assess the quality of prescribing to elderly nursing home residents. Age and Ageing 2003;32:102‐8.

Office for National Statistics 2010

Office for National Statistics. Ageing. http://www.ons.gov.uk/ons/taxonomy/index.html?nscl=Older+People 2010 (accessed 29 January 2016).

Ostini 2009

Ostini R, Hegney D, Jackson C, Williamson M, Mackson JM, Gurman K, et al. Systematic review of interventions to improve prescribing. The Annals of Pharmacotherapy 2009;43:502‐12.

Patterson 2014

Patterson SM, Cadogan CA, Kerse N, Cardwell CR, Bradley MC, Ryan C, et al. Interventions to improve the appropriate use of polypharmacy for older people. Cochrane Database of Systematic Reviews 2014, Issue 10. [DOI: 10.1002/14651858.CD008165.pub3]

Perri 2005

Perri M, Menon AM, Deshpande AD, Shinde SB, Cooper JW, Cook CL, et al. Adverse outcomes associated with inappropriate drug use in nursing homes. The Annals of Pharmacotherapy 2005;39:405‐11.

RevMan 2014 [Computer program]

The Nordic Cochrane Centre. Review Manager (RevMan). [Computer program]. Version 5.3. Copenhagen: The Cochrane Collaboration, 2014.

Rollason 2003

Rollason V, Vogt N. Reduction of polypharmacy in the elderly. A systematic review of the role of the pharmacist. Drugs and Aging 2003;20(11):817‐32.

Sloane 2002

Sloane PD, Zimmerman S, Brown LC, Ives TJ, Walsh J. Inappropriate medication prescribing in residential care/assisted living facilities. Journal of the American Geriatrics Society 2002;50(6):1001‐11.

Soe 2009

Soe A, Apampa B, Fernando B, Thayyil S, Neubert A, Ghaleb MA. Interventions for reducing medication errors in children in hospital. Cochrane Database of Systematic Reviews 2009, Issue 1. [DOI: 10.1002/14651858.CD006208]

Spinewine 2007

Spinewine A, Schmader KE, Barber N, Hughes C, Lapane KL, Swine C, et al. Appropriate prescribing in elderly people: how well can it be measured and optimised?. Lancet 2007;370(9582):173‐84.

United Nations 2009

United Nations (Department of Economic and Social Affairs: Population Division). World Population Ageing. http://www.un.org/esa/population/publications/WPA2009/WPA2009_WorkingPaper.pdf.. New York: United Nations (Department of Economic and Social Affairs: Population Division), 2009 (accessed 29 January 2016).

Verrue 2009

Verrue CL, Petrovic M, Mehuys E, Remon JP, Vander Stichele R. Pharmacists' interventions for optimization of medication use in nursing homes: a systematic review. Drugs & Aging 2009;26:37‐49.

References to other published versions of this review

Alldred 2011

Alldred DP, Raynor DK (Theo), Hughes C, Barber N, Chen TF, Spoor P. Interventions to optimise prescribing for older people in care homes. Cochrane Database of Systematic Reviews 2011, Issue 4. [DOI: 10.1002/14651858.CD009095]

Alldred 2013

Alldred DP, Raynor DK, Hughes C, Barber N, Chen TF, Spoor P. Interventions to optimise prescribing for older people in care homes. Cochrane Database of Systematic Reviews 2013, Issue 2. [DOI: 10.1002/14651858.CD009095.pub2]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Claesson 1998

Methods

Cluster‐RCT (randomised by nursing home)

Total study duration: 14 months

Participants

1854 residents

33 nursing homes

Setting: nursing homes

Age: Average 83 years

Gender: Intervention 70% female; control 67% female

Country: Sweden

Date of study: 1994/95

Interventions

The aim of the regular multidisciplinary meetings was to discuss and improve the use of drugs in nursing homes, and to decrease the use of drugs which, according to the advice of the workshop arranged by the Swedish Medical Products Agency, could cause confusion and impaired memory. In group discussions, the physician, pharmacist, one or more of the nursing home nurses, and in many cases, one or more of the assistant nurses and nurse aides reviewed the drug use of all residents on a monthly basis over a period of one year. The length and frequency of the meetings were adjusted by the participants to local conditions. The therapy changes that were discussed were thus based on the physician’s medical knowledge, the pharmacist’s pharmaceutical knowledge, and the nurses’ and other staff’s knowledge about the patients’ social and functional status.The selected pharmacists were educated prior to and during the intervention period. This education took the form of lectures and workshops, which took place on five occasions, twice before the intervention started and three times during the intervention period, for a total of 65.5 hours. The lectures were given by recognised experts, including clinical pharmacists, geriatricians, gerontologists, nurses and two community pharmacists with experience in nursing home consulting. Topics covered were gerontology/geriatrics (12.5 hours), drug use in the elderly (23.5 hours) and basic training in collaborative methods (18.5 hours). In addition, the pharmacists worked with patient cases in small groups, covering all the areas mentioned above (11 hours). In addition to the formal education, the pharmacists formed regional networks. The networking took place locally, whenever the pharmacist felt a need to have it. In order to make the networks constructive, the whole group was instructed by an educational specialist on one occasion.

Outcomes

Medication‐related problems

Not used for this review:

Drug use

Notes

Supported by the National Corporation of Swedish Pharmacies and the Swedish Pharmaceutical Society

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Homes were matched in pairs then each randomised to control or intervention. [Attempted to contact author for further information but unsuccessful]

Allocation concealment (selection bias)

Low risk

Cluster design

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding not conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

High risk

Blinding not conducted

Blinding of outcome assessment (detection bias)
Objective outcomes

Unclear risk

No objective outcomes

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Not measured in this study

Incomplete outcome data (attrition bias)
Secondary outcomes

Low risk

Medication‐related problems described for residents receiving intervention

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Unclear risk

Medication‐related problems not measured at baseline

Similar baseline characteristics

Low risk

Similar baseline characteristics reported

Reliable primary outcome measure

Low risk

Drug use

Adequate protection against contamination

Unclear risk

Cluster design. [Attempted to contact author for further information but unsuccessful]

Other bias

Low risk

Appears to be free of other sources of bias

Connolly 2015

Methods

Cluster‐RCT (randomised by care facility)

Total study duration: 14 months

Participants

36 facilities (18 intervention, 18 control). 1998 residents (1123 intervention, 875 control)

Setting: Residential aged‐care (RAC) facilities

Age: mean age not provided. Intervention: < 65, 6.4%; 65 to 74, 11.7%; 75 to 84, 29.5%; 85 to 94, 46.6%; 95 + 5.9%; control < 65, 7.5%; 65 to 74, 11.2%; 75 to 84, 29.1%; 85 to 94, 43.3%; 95 + 8.8%

Gender: Intervention male 348 (31.0%), control male 242 (27.7%)

Country: New Zealand

Date of Study: 2010‐2012

Interventions

1. Baseline facility assessment to identify areas of need and facility care plan developed in collaboration with the gerontology nurse specialist (GNS), and RAC facility clinical leadership (anonymised example available from authors on request)

2. Monitoring and benchmarking of resident indicators linked to quality of care provided (falls, nutrition, restraint use, weight loss, urinary tract infections, residents on nine medications); benchmarking was provided on three occasions during the intervention

3. Three 1‐hour multidisciplinary team (MDT) meetings, monthly for the first three months at each facility, including medication review by study geriatrician, GNS, general practitioner (GP), pharmacist, and nurse manager. Typically, six residents were
considered per meeting with priority given to new admissions, the recently hospitalised, those with recent “incidents” (e.g., fall), and those on nine or more medications

4. Gerontology education and clinical coaching for RAC nurses and caregivers, including advanced (end‐of‐life) care planning, nutrition/hydration, early detection of illness, falls prevention, end‐stage dementia care, communication with families, and practical aspects of care

Outcomes

Hospital admissions (ambulatory sensitive hospitalisations, total acute admissions)

Mortality

Notes

Funded by the Health Research Council of New Zealand

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated randomised numbers

Allocation concealment (selection bias)

Low risk

Cluster design

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding not conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

Unclear risk

No subjective outcomes measured

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

Authors state that "'care was taken to blind investigators to facility identification wherever possible". However outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Low risk

Reasons for attrition reported. Described as intention‐to‐treat by authors

Incomplete outcome data (attrition bias)
Secondary outcomes

Low risk

Reasons for attrition reported. Described as intention‐to‐treat by authors

Selective reporting (reporting bias)

Low risk

Pre‐specified outcomes were reported in the pre‐specified way in the protocol

Similar baseline outcome measurements

Low risk

Similar baseline outcome measurements (no baseline measurement of hospital admissions)

Similar baseline characteristics

Low risk

Similar baseline characteristics reported

Reliable primary outcome measure

Low risk

Hospital admissions

Adequate protection against contamination

Unclear risk

Cluster design. However, it was theoretically possible that some healthcare professionals may have moved between intervention and control nursing homes [author contacted]

Other bias

High risk

Medication reviews were undertaken for a non‐random subsample of 23% of intervention residents selected by multidisciplinary team

Crotty 2004a

Methods

Cluster‐RCT (randomised by care facility)

Total study duration: 3 months

Participants

10 facilities (5 intervention, 5 control). 154 residents (50 intervention, 54 control, 50 within‐facility control)

Setting: High‐level residential aged‐care facilities (nursing homes)

Age: Intervention mean 85.3, control mean 83.6, within‐facility control mean 84.6

Gender: Intervention male 22 (44%), control male 23 (43%), within‐facility control male 17 (34%)

Country: Australia

Date of Study: 1999 [Author contacted]

Interventions

Outreach geriatric medication advisory service, case conferencing and medication review.

GPs were invited to attend two multidisciplinary case conferences conducted 6 to 12 weeks apart. The resident’s GP, a geriatrician, a pharmacist, residential care staff and a representative of the Alzheimer’s Association of South Australia attended the case conferences, which were held at the facility. Residential care staff expanded on any issues in the case notes that required discussion and the Alzheimer’s Association of South Australia representative discussed non‐pharmacological management of dementia‐related behaviour. Each case conference was chaired by the GP, who used their medical records in addition to case notes from the facility. A problem list was developed by the GP in conjunction with the care staff and a medication review was conducted prior to each case conference. All facilities in the study, including those in the control group, received a half‐day workshop provided by the Alzheimer’s Association of South Australia, which examined the use of a toolkit in the management of challenging behaviours

Outcomes

Measured at baseline and three months post‐intervention:

Medication appropriateness (MAI)

Drug costs (based on Australian Government Pharmaceutical Benefits Scheme)

Not used in this review:

Nursing Home Behaviour Problem Scale (NHBPS)

Number of drugs

Notes

Funded by The Quality Use of Medicines Evaluation Programme 2000‐2001, Health and Aged Care, General Practice National Innovations Funding Pool 1999‐2000, Health and Aged Care.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated random numbers used

Allocation concealment (selection bias)

Low risk

A researcher independent to the investigators generated the random sequence and cluster design. Staff were asked to “nominate” 20 residents from intervention sites and 10 residents from control sites. From the 20 intervention,10 were randomised to intervention and ten to within‐facility control using sequential sealed opaque envelopes.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

Low risk

Assessed by independent pharmacist blinded to allocation [author contacted]

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

No blinding conducted, however outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Not measured in this study

Incomplete outcome data (attrition bias)
Secondary outcomes

Low risk

Reasons for attrition reported (all due to deaths) and no statistically significant difference found in the proportion of residents lost between groups

Described as intention‐to‐treat analysis by authors

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

High risk

There were differences in the Medication Appropriateness Index between groups at baseline: Control 4.1 (95% CI 2.4‐5.7); Within‐facility control 6.0 (95% CI 3.1‐9.0); Intervention 7.4 (95% CI 4.5‐10.3)

Similar baseline characteristics

Low risk

Similar baseline characteristics reported

Reliable primary outcome measure

Low risk

Medication Appropriateness Index

Adequate protection against contamination

Low risk

Cluster design. Randomised by care facility. GPs were checked to avoid contamination between intervention and control residents [author contacted]. No significant differences found between the within‐facility control and the control groups, therefore no evidence of a carry‐over effect of the intervention

Other bias

Low risk

Appears to be free of other sources of bias

Crotty 2004b

Methods

RCT (randomised by patient)

Total study duration: 8 weeks

Participants

110 patients (56 intervention, 54 control) from three hospitals discharged to 85 long‐term facilities

Setting: Long‐term care facilities

Age: Mean 82.7, .SD 6.4

Gender: 67 women (60.9%), 43 men (39.1%)

Country: Australia

Date of study: October 2002 to July 2003

Interventions

Pharmacist transition co‐ordinator

The intervention focused on transferring information on medications to care providers in the long‐term care facilities, including the nursing staff, the family physician and the accredited community pharmacist.  On the patient’s discharge from the hospital to the long‐term care facility both the family physician and the community pharmacist were faxed a medication transfer summary compiled by the transition pharmacist and signed by the hospital medical officer.  This communication supplemented the usual hospital discharge summary and included specific information on changes to medications that had been made in the hospital and aspects of medication management that required monitoring.

After transfer of the patient to the long‐term care facility, the transition pharmacist co‐ordinated an evidence‐based medication review that was to be performed by the community pharmacist contracted to the facility within 10 to 14 days of the transfer. The transition pharmacist also co‐ordinated a case conference involving him or herself, the family physician, the community pharmacist and a registered nurse at the facility within 14 to 28 days of the transfer.  At this case conference, the transition pharmacist provided information concerning medication use and appropriateness

The usual hospital discharge process received by the control group included a standard hospital discharge summary

Outcomes

Measured at baseline and eight weeks post‐discharge:

Adverse drug events (not defined)

Hospital admissions (emergency department visits and hospital readmissions)

Medication‐related problems

Medication appropriateness (MAI)

Not used for this review:

Falls

Worsening mobility

Worsening behaviours

Increased confusion

Worsening pain

Notes

Funded by the Australian Commonwealth Department Of Health and Ageing National Demonstration Hospitals Program.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Study biostatistician provided a computer‐generated allocation sequence using block randomisation

Allocation concealment (selection bias)

Low risk

Randomisation was co‐ordinated by a centralised hospital pharmacy service

 

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

Low risk

Independent pharmacists blinded to allocation assessed Medication Appropriateness Index (MAI)

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

No blinding conducted, however outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Low risk

Similar attrition in both groups with similar reasons for dropouts. Described as intention‐to‐treat by authors

Incomplete outcome data (attrition bias)
Secondary outcomes

Low risk

Similar attrition in both groups with similar reasons for dropouts. Described as intention‐to‐treat by authors

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Low risk

Similar Medication Appropriateness Index scores at baseline. Other outcomes not measured at baseline

Similar baseline characteristics

Low risk

Similar baseline characteristics reported except more pre‐admission medications discontinued during hospitalisation in the control group

Reliable primary outcome measure

Low risk

Medication Appropriateness Index

Adequate protection against contamination

High risk

Randomised by patient therefore contamination possible

Other bias

Low risk

Appears to be free of other sources of bias

Frankenthal 2014

Methods

RCT (randomised by patient)

Total study duration: 1 year

Participants

359 residents (176 control, 183 intervention)

Setting: Chronic care geriatric facility

Age: Mean 82.7

Gender: Intervention male 29.5%, control male 37.5%

Country: Israel

Date of Study: Not Stated

Interventions

The intervention consisted of a medication review by the study pharmacist for all residents at study opening and six and 12 months later. The STOPP/START criteria were applied to identify potentially inappropriate prescriptions (PIPs) and potential prescription omissions (PPOs). Interventional recommendations that the study pharmacist made for residents in the intervention group but not in the control group were discussed with the chief physician at study opening and after six months. The chief physician decided whether to accept these recommendations and implement prescribing changes

Outcomes

Measured at baseline and at 12 months:

Hospital admissions (not defined)

Mortality

Quality of life (Medical Outcomes Study 12‐item Short‐Form Health Survey [SF‐12])

Medication‐related problems (number of pharmacist recommendations,

acceptance of recommendations by the physician, number of treatment changes)

Medication appropriateness (STOPP‐START)

Medication costs (Average monthly medication costs in Israeli Shekels)

Not used for this review:

Falls

Functioning (Functional Indepence Measure)

Notes

Study was supported partly by a research grant from Keshet Association for the Elderly in Tel‐Aviv‐Yaffo

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Insufficient information to permit judgement

Allocation concealment (selection bias)

Unclear risk

Insufficient information to permit judgement

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding not conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

High risk

Nurses who were unaware of group assignments assessed outcome measures. However, the study pharmacist collected data on outcome measures at follow‐up.

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

Nurses who were unaware of group assignments assessed outcome measures. However, the study pharmacist collected data on outcome measures at follow‐up. Outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Low risk

Reasons and proportions for attrition documented and similar in intervention and control.

Incomplete outcome data (attrition bias)
Secondary outcomes

Low risk

Reasons and proportions for attrition documented and similar in intervention and control.

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Low risk

Similar baseline outcomes for falls, hospitalisations and medicine costs

Similar baseline characteristics

Low risk

Similar baseline characteristics reported

Reliable primary outcome measure

Low risk

Falls and hospitalisations

Adequate protection against contamination

High risk

Randomised by patient therefore contamination possible

Other bias

Low risk

Appears to be free from other sources of bias

Furniss 2000

Methods

Cluster‐RCT (randomised by care home)

Total study duration: 8 months

Participants

330 residents (172 control, 158 intervention); 14 homes (7 matched pairs)

Setting: Nursing homes

Age: Control mean 78.9 SD 13.7; intervention mean 83.5 SD 9.2

Gender: Control 115 (67%) females; intervention 125 (79%) females

Country: UK

Date of study: Not stated

Interventions

Medication review by pharmacist

Medication review by the study pharmacist in the GP’s surgery, at the nursing home or (in exceptional circumstances) over the telephone. The pharmacist collected details of current medication for each resident from the medicines administration record chart in the home, together with a brief medical history and any current problems identified by the home staff. Three weeks after the medication review, the homes were revisited, to ascertain whether there had been any immediate problems with the changes in medication and to see if the suggested changes had been implemented

Outcomes

Measured at time 0 (beginning of study), time 1 at four months (beginning of intervention) and at time 2 at eight months (end of intervention):

Hospital admissions ("inpatient days")

Mortality

Medication‐related problems (number of pharmacist recommendations,

acceptance of recommendations by the GP, number of treatment changes)

Medication costs (not defined, £ sterling)

Not used for this review:

Mini‐Mental State Examination (MMSE)

Geriatric Depression Scale (GDS)

Brief Assessment Schedule Depression Cards (BASDEC)

Crichton‐Royal Behaviour Rating Scale (CRBRS)

Number of drugs per resident

Type of drugs

Reason for neuroleptic use

Use of primary and secondary care resources

Number of accidents

Falls

Notes

Funded by the North West NHS Executive

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated pseudo random numbers used

Allocation concealment (selection bias)

Low risk

Homes were randomised at the start of the start of a four‐month observation phase. Cluster design

 

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding described

Blinding of outcome assessment (detection bias)
Subjective outcomes

High risk

No blinding conducted

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

No blinding conducted, however outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Insufficient reporting of attrition/exclusions to permit judgement

Incomplete outcome data (attrition bias)
Secondary outcomes

Unclear risk

Insufficient reporting of attrition/exclusions to permit judgement

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

High risk

14 (8.1%) deaths in control group versus 22 (13.9%) deaths in intervention group at baseline. No baseline measurements of other primary outcomes of this review

Similar baseline characteristics

High risk

Slightly fewer residents in the intervention group (158) versus control (172). In the control group, residents were younger (mean 78.9 SD 13.7 versus mean 83.5 SD 9.2) and there were fewer females (67% versus 79%)

Reliable primary outcome measure

Low risk

Crichton‐Royal Behaviour Rating Scale

Adequate protection against contamination

Low risk

Randomised by care home (which were in different geographical areas)

Other bias

Low risk

Appears to be free of other sources of bias

Garcia‐Gollarte 2014

Methods

Cluster‐RCT (randomised by nursing home)

Total study duration: 6 months

Participants

Control group: 17 nursing homes and 29 doctors (372 participants). Intervention Group: 19 nursing homes and 30 doctors (344 participants)

Setting: Nursing homes

Age: Control mean 84.5 SD 10.4 ; intervention 84.24 mean SD 14.6

Gender: Control 72.1% female; intervention 74.0% female

Country: Spain

Date of study: February 2010 to February 2013

Interventions

Educational intervention delivered to 30 doctors

Nursing home physician expert in drug use in older people delivered a structured educational intervention. The educational intervention included information on general aspects of prescription and drug use in geriatric patients, how to reduce the number of drugs and to perform regular reviews of medications, to avoid inappropriate drug use, to discontinue drugs that do not show benefit and to avoid under‐treatment with drugs that have shown benefit. Information also provided on adverse drug reactions in older people

Educational material and references also provided to participants

Educator also provided on‐demand prescription advice (via phone) for a six‐month period

Outcomes

Measured at baseline and at nine months.

Hospital admissions (total number of days spent in hospital)

Medication appropriateness (STOPP‐START)

Not used in this review:

Falls

Delirium

Physician and nurse visit

Emergency room visits

Use of antipsychotics

Use of delirium drugs

Notes

Funded by the Ballesol group [author contacted]

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number tables

Allocation concealment (selection bias)

Low risk

Cluster design

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding not conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

Unclear risk

Insufficient information to permit judgement

Blinding of outcome assessment (detection bias)
Objective outcomes

Unclear risk

Outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Per protocol analysis used. Dropouts were not identified by group

Incomplete outcome data (attrition bias)
Secondary outcomes

Unclear risk

Per protocol analysis used. Dropouts were not identified by group

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Low risk

Similar baseline outcome measurements for days in hospital and medication appropriateness

Similar baseline characteristics

Low risk

Similar baseline characteristics reported except worse functional status in intervention group; however, adjusting for this did not significantly change the results

Reliable primary outcome measure

Low risk

Objective measures of healthcare utilisation

Adequate protection against contamination

Unclear risk

Cluster design. However, it was theoretically possible that some physicians may have moved between intervention and control nursing homes [author contacted]

Other bias

Unclear risk

For prescribing appropriateness, a random sample of 311 from 1018 residents was used

Gurwitz 2008

Methods

Cluster‐RCT (randomised by care unit within two long‐term care facilities)

Total study duration: 12 months

Participants

1,118 resident in 29 units in two long‐term care facilities

Setting: Long‐term care facilities

Age: Average 87.2 years

Gender: 71.3% female

Country: US and Canada

Date of study: 2006‐7 [Author contacted]

Interventions

Computerised provider order entry with clinical decision support.

A team of geriatricians, pharmacists, health services researchers and information system specialists designed the clinical decision support system.

The team reviewed the types of preventable adverse drug events based on previous research and widely accepted published criteria for suboptimal prescribing in elderly people available at the time of this study. All serious drug–drug interactions from a standard pharmaceutical drug interaction database were also reviewed and alerts were included for a limited number of more than 600 potentially serious interactions that were reviewed. For residents on the intervention units, the alerts were displayed in a pop‐up box to prescribers in real time when a drug order was entered. The pop‐up boxes were informational; they did not require specific actions from the prescriber and did not produce or revise orders automatically. On the control units, the alerts were not displayed to the prescribers

Outcomes

Measured throughout study period (resident‐months):

Adverse drug event (“an injury resulting from the use of a drug” includes medication error and adverse drug reaction)

Severity of adverse drug event

Preventability of adverse drug event

Notes

Supported by the Agency for Healthcare Research and Quality.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Block randomisation used. Within each block, units were randomly assigned using the random function in Microsoft Excel®. [Author contacted]

Allocation concealment (selection bias)

Low risk

Cluster design

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

Low risk

Outcome assessors were blind to allocation

 

Blinding of outcome assessment (detection bias)
Objective outcomes

Unclear risk

No objective outcomes

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Insufficient reporting of attrition/exclusions to permit judgement

Incomplete outcome data (attrition bias)
Secondary outcomes

Unclear risk

Not measured in this study

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Unclear risk

No baseline measurements of adverse drug effects

Similar baseline characteristics

Unclear risk

Baseline characteristics not reported, however, units were matched for bed size and general characteristics of residents and the unit

Reliable primary outcome measure

Low risk

Number of adverse drug events

Adequate protection against contamination

High risk

Cluster design. Efforts were made to limit crossover of prescribers between intervention and control units, however, some prescribers worked simultaneously on both intervention and control units. In an effort to assess the possibility that this may have led to changes in behaviour in the control group, the rate of responses to "unseen" alerts in the control units during the first versus the last quarter of the study was assessed at one of the study sites. The rate of response was lower in the last quarter, suggesting that prescribers did not adopt new habits due to seeing alerts on intervention units

Other bias

Low risk

Appears to be free of other sources of bias

Pitkala 2014

Methods

Cluster‐RCT (randomised by ward)

Total duration of study: 12 months

Participants

227 residents in 20 facilities (10 control, 10 intervention)

Setting: Assisted living facilities

Age: Control mean 83.5 SD 6.9; intervention mean 82.9 years SD 7.5

Gender: Control 77.1% female; intervention 65.3% female

Country: Finland

Date of Study: Not stated

Interventions

Educational intervention:

Two 4‐hour training sessions for nursing staff. Aim of session was to enable nurses to recognise harmful medications and corresponding adverse drug events.

First 4‐hour session: lecture‐based, allowed participants to discuss medication‐related problems experienced by their own residents, introduced lists of harmful medications and suitable treatments. Also involved discussion about medication use for residents with real impairment and drug‐drug interactions

Second 4‐hour session: case‐study‐based, demonstrate relevance and importance of topic to nurses

During both training sessions nurses were encouraged to reflect on their own procedure and opportunities for improvement

Those nurses that received this intervention were asked to identify potential medication‐related problem and highlight these to the consulting physician

Outcomes

Assessed at 0, 6, 12 months

Hospital admissions (hospital days)

Mortality

Health‐related Quality of Life (15D)

Medication appropriateness (composite of Beers criteria, Anticholinergic Risk Scale, > 2 psychotropic medications, NSAIDs and proton pump inhibitors)

Not used in this review:

Cognitive assessment (MMSE)

Nutritional assessment (Mini‐nutritional assessment)

Notes

[author contacted]

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computerised random number generator

Allocation concealment (selection bias)

Low risk

Cluster design

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding not conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

Unclear risk

Insufficient information to permit judgement

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

Outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Reasons and proportions for attrition documented and similar in intervention and control. Described as intention‐to‐treat analysis by authors Overall attrition rate relatively high (27.8%)

Incomplete outcome data (attrition bias)
Secondary outcomes

Unclear risk

Reasons and proportions for attrition documented and similar in intervention and control. Described as modified intention‐to‐treat analysis by authors Overall attrition rate relatively high (27.8%)

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Unclear risk

Lower HRQoL in intervention group (15D score mean 0.61 [SD 0.12] vs 0.66 [0.11]) and higher mean number of harmful medications (2.9 [SD 1.8] vs 2.5 [SD 1.7]). Analyses were adjusted for these differences

Similar baseline characteristics

Unclear risk

More males (34.7% vs 22.9%), higher prevalence of ‘as‐needed’ medication (mean 3.6 [SD 2.3] vs 2.9 [SD2.0]), and higher number of comorbidities (Mean Charlson’s index 3.2 [2.0] vs 2.5 [1.8]) in intervention group. Analyses were adjusted for these differences

Reliable primary outcome measure

Low risk

Well‐defined potentially harmful medication use

Adequate protection against contamination

Unclear risk

Cluster design. However, it was theoretically possible that some nurses may have moved between intervention and control nursing homes, although this was deemed unlikely by the author [author contacted]

Other bias

Low risk

Appears to be free from other sources of bias

Roberts 2001

Methods

Cluster‐RCT (randomised by care home)

Total study duration: Two years

Participants

3230 residents (905 intervention, 13 homes); 2325 control, 39 homes)

Setting: Nursing homes

Age:

Intervention < 60 2.0%, 60‐69 6.6%, 70‐79 21.9%, 80‐89 47.4%, 90‐99 20.7%, ≥ 100 1.7%

Control < 60 2.6%, 60‐69 5.4%, 70‐79 22.3%, 80‐89 46.7%, 90‐99 21.1%, ≥ 100 1.6%

Gender: Not reported

Country: Australia

Date of Study: Not reported

Interventions

Three‐phase intervention: introducing a new professional role to stakeholders with relationship‐building; nurse education; and medication review by pharmacists

The clinical pharmacy service model introduced to each nursing home was supported with activities such as focus groups facilitated by a research nurse, written and telephone communication, and face‐to‐face professional contact between nursing home staff and clinical pharmacists on issues such as drug policy and specific resident problems, together with education and medication review by pharmacists holding a postgraduate diploma in clinical pharmacy. This was a multifaceted intervention directly targeting nursing homes. Most of the contact with GPs was indirect, using the existing relationships between nursing homes and visiting GPs. A number of focus groups and personal interviews about the project were conducted with GPs. In intervention homes, problem‐based education sessions (6 ± 9 seminars totaling approximately 11 h per home) were provided to nurses. Sessions addressed basic geriatric pharmacology and some common problems in long‐term care (depression, delirium and dementia, incontinence, falls, sleep disorders, constipation and pain). Sessions were supported by wall charts, bulletins, telephone calls and clinical pharmacy visits, averaging 26 h contact per home over the study. Written, referenced drug regimen reviews were prepared by the clinical pharmacists for 500 individual residents selected by the nursing home staff. The reviews highlighted the potential for: (1) adverse drug effects, (2) ceasing one or more drugs, (3) adding drugs, (4) better use of specific drug therapy, particularly psychoactive drugs, (5) non drug interventions, and (6) adverse effect and drug response monitoring. Initial reports (61% of total) were audited by a geriatrician before dissemination. Reports were placed in each resident's nursing home records, made available to the resident's GP and discussed with nursing staff. Drugs commonly targeted in reviews and education sessions included laxatives, histamine H2‐receptor antagonists, allopurinol, quinine, antibacterials, paracetamol, nonsteroidal anti‐inflammatory drugs (NSAIDs) and psychoactive drugs

Outcomes

Measured at baseline and 12 months post‐intervention:

Hospital admissions (not defined)

Mortality (survival also assessed at 22 months)

Medication‐related problems

Medication costs (per resident per year based on prescription claims data)

Not used for this review:

Adverse events (from incident reports)

Resident Classification Instrument (RCI)

Drug use

Notes

Supported by the Commonwealth Government of Australia under the Pharmaceutical Education Program

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Homes were assigned to intervention or control by being “drawn from a hat”

Allocation concealment (selection bias)

Low risk

Cluster design

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

High risk

No blinding reported

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

No blinding reported, however outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Insufficient reporting of attrition/exclusions to permit judgement

Incomplete outcome data (attrition bias)
Secondary outcomes

Unclear risk

Insufficient reporting of attrition/exclusions to permit judgement

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Low risk

Slight imbalance in mortality and hospitalisations at baseline; however this was accounted for in the analysis

Similar baseline characteristics

Low risk

Similar baseline characteristics reported

Reliable primary outcome measure

Low risk

Mortality and Resident Classification Instrument (RCI)

Adequate protection against contamination

Unclear risk

Cluster design. [Attempted to contact author for further information but no response]

Other bias

High risk

Medication reviews were undertaken for a non‐random subsample of 500 residents (total intervention residents 905) selected by nursing staff

Strikwerda 1994

Methods

RCT (randomised by GP)

Total study duration: 6 weeks

Participants

196 residents

One nursing home

Age: mean 84.5 years (59‐100)

Gender: 25% male

Country: Netherlands

Date of study: 1993

Interventions

Feedback on GP prescribing from community pharmacist

Group A received usual care, group B GPs issued with a medication list used by their patients, group C GPs received a medication list plus feedback from community pharmacist

Outcomes

Medication‐related problems

Not used for this review: drug use

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Insufficient information to permit judgement

Allocation concealment (selection bias)

Low risk

Cluster design

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding conducted

Blinding of outcome assessment (detection bias)
Subjective outcomes

Unclear risk

Insufficient information to permit judgement

Blinding of outcome assessment (detection bias)
Objective outcomes

Unclear risk

Not measured in this study

Incomplete outcome data (attrition bias)
Primary outcomes

Unclear risk

Not measured in this study

Incomplete outcome data (attrition bias)
Secondary outcomes

Unclear risk

Insufficient information to permit judgement

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Unclear risk

No baseline measurements of medication‐related problems

Similar baseline characteristics

High risk

Most baseline characteristics similar, however fewer males in group A and fewer medicines per resident in group B

Reliable primary outcome measure

Low risk

Drug use

Adequate protection against contamination

High risk

Randomised by GP, however control and intervention residents resided in the same nursing home

Other bias

Low risk

Appears to be free of other sources of bias

Zermansky 2006

Methods

RCT (randomised by patient)

Total study duration: 6 months

Participants

661 (331 intervention, 330 control) care home residents, 65 care homes

Setting: Nursing and residential homes for older people

Age: Intervention mean 85.3 (IQR 81‐90); control mean 84.9 (IQR 80‐90)

Gender: Intervention 75 (22.7%) male; control 79 (23.9%) male

Country: UK

Date of study: 2002

Interventions

Medication review by a single pharmacist

A clinical medication review was conducted by the study pharmacist who held a postgraduate qualification in clinical pharmacy, within 28 days of randomisation. It comprised a review of the GP clinical record and a consultation with the resident and carer. The pharmacist formulated recommendations with the resident and carer and passed them on a written proforma to the GP for acceptance and implementation. GP acceptance was signified by ticking a box on the proforma. Control patients received usual GP care

Outcomes

Measured at baseline and six months ± three weeks post‐randomisation:

Hospital admissions (non‐elective)

Mortality

Medication‐related problems

Medicine costs (cost of 28 days of repeat medicines per participant)

Not used for this review:

Number of changes in medicines per participant

Number of medicines per participant

Recorded medication reviews

Falls

SMMSE

Barthel index

Number of GP consultations

Notes

Funded by The Health Foundation, 90 Long Acre, London WC2 9RA (Registered Charity Number 286967)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Patients were randomised in randomly sized blocks of 2 to 8 patients using an algorithm written in Visual Basic in Microsoft Access

Allocation concealment (selection bias)

Low risk

Not reported in paper. Allocation was concealed to the research pharmacist and nurse data collector by statistician [Author contacted]

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Open design, no blinding attempted

Blinding of outcome assessment (detection bias)
Subjective outcomes

High risk

No blinding conducted

Blinding of outcome assessment (detection bias)
Objective outcomes

Low risk

No blinding conducted, however outcomes not likely to be influenced by lack of blinding

Incomplete outcome data (attrition bias)
Primary outcomes

Low risk

Similar attrition in both groups with similar reasons for dropouts. Described as intention‐to‐treat by authors

Incomplete outcome data (attrition bias)
Secondary outcomes

Low risk

Similar attrition in both groups with similar reasons for dropouts. Described as intention‐to‐treat by authors

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Similar baseline outcome measurements

Low risk

Similar baseline measurements for hospital admissions and medicine costs

Similar baseline characteristics

Low risk

Similar baseline characteristics reported

Reliable primary outcome measure

Low risk

Number of changes in medication

Adequate protection against contamination

High risk

Randomised by patient therefore contamination possible

Other bias

Unclear risk

Sample size calculation indicated that 1600 residents were required, however, only 661 residents were recruited

IQR: Interquartile Range

MMSE: Mini‐Mental State Examination

SD: Standard Deviation

I5D: 15 Dimensional Instrument of Health‐related Quality of Life

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Avorn 1992

Whole medication regime not considered (psychoactive medicines only)

Crotty 2004c

Whole medication regime not considered (psychotropic and stroke medicines only)

Lapane 2011

Focus was on delirium and falls

Milos 2013

Included community‐dwelling patients in addition to nursing home residents

Characteristics of ongoing studies [ordered by study ID]

Desborough ongoing

Trial name or title

Multi‐professional clinical medication reviews in care homes for the elderly: study protocol for a randomised controlled trial with cost effectiveness analysis

Methods

Cluster RCT (randomised by care home)

Total Study Duration: 12 months

Participants

Residents of 30 care homes for older people (average age > 65)

Interventions

Intervention homes will receive a multi‐professional medication review at baseline and at 6 months, with follow‐up at 12 months. Control homes will receive usual care (support they currently receive from the National Health Service), with data collection at baseline and 12 months.

Outcomes

Emergency hospital admissions and Accident and Emergency (A&E) visits (number of admissions in six months per patient)
Mortality
Potentially inappropriate prescribing (number of drugs which match the STOPP criteria at each data collection point)

Medication costs (mean drug costs per patient ‐ net ingredient costs for 28 days)

Not used for this review:

Number of falls (mean per patient per month)
Utilisation of primary care, secondary care and personal social services health professional time (GP, nurse and other)

Starting date

2011

Contact information

Notes

NCT02238652

Trial name or title

Improving quality of life in nursing home residents: a cluster randomized clinical trial of efficacy (KOSMOS)

Methods

Cluster RCT (randomised by care home)

Total Study Duration: ˜ 16 months

Participants

Residents of 38 care homes (˜ 310 participants, average age > 65)

Interventions

Staff training, study guidelines and manuals

Outcomes

Potentially inappropriate prescribing (number of drugs which match the STOPP criteria at each collection point)

Medications which should be introduced (assessed using the START criteria)

Hospital admissions

Mortality

Quality of life in late‐stage dementia

Neuropsychiatric inventory

Activities of daily living

Starting date

2014

Contact information

Notes

Wouters ongoing

Trial name or title

Discontinuing inappropriate medication in nursing home residents (DIM‐NHR Study): protocol of a cluster randomised controlled trial

Methods

Cluster RCT (elderly care physicians and wards randomised)

Participants

Residents of care home (˜ 600 residents)

Interventions

Multidisciplinary Multistep Medication Review (3MR) will be carried out by elderly care physicians in collaboration with a pharmacist. Data will be collected at baseline and 4 months after the 3MR has taken place.

Outcomes

Discontinuation of inappropriate medication (according to the STOPP criteria)

Starting new medication (according to the START criteria)

Harm (including mortality, falls, gastrointestinal bleeding, A&E and outpatient visits, physician consultations)

Quality of life (measured with Dementia Quality of Life Instrument (DQI) and EQ‐5D‐3L

Cognitive function measured using the Severe Impairment Battery (SIB) and the Mini‐Mental State Examination (MMSE)

Expenditure on healthcare taking into account salary costs, medication costs, laboratory examinations,additional costs

Starting date

2014

Contact information

Notes

EQ‐5D‐3L: EuroQol 5 Dimension Health‐related Quality of Life

Study flow diagram.
Figures and Tables -
Figure 1

Study flow diagram.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figures and Tables -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figures and Tables -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Interventions to optimise prescribing compared with usual GP care for care home residents

Patient or population: older people (aged 65 years or older) living in care homes

Settings: Institutionalised care facilities in Australia, Finland, Israel, Netherlands, New Zealand, Spain, Sweden, United Kingdom, and USA and Canada

Intervention: Intervention to optimise prescribing (single or multicomponent intervention)

Comparison: Usual care by general practitioner

Outcomes

Impact

No of Participants
(studies)

Quality of the evidence
(GRADE)

Adverse drug events

There was no evidence of an effect on adverse drug events

1228 in 87 care homes (2 studies)

⊕⊕⊝⊝
low

Hospital admissions

It is uncertain whether medication review reduces hospital admissions

7606 in 309 care homes (8 studies)

⊕⊕⊝⊝
low

Mortality

There was no evidence of an effect on mortality

6805 in 188 care homes (6 studies)

⊕⊕⊝⊝
low

Quality of life

It is uncertain whether medication review improves quality of life

586 in 21 care homes (2 studies)

⊕⊕⊝⊝
low

Medication‐related problems

Medication review may lead to the identification and resolution of medication‐related problems

6640 in 251 care homes (7 studies)

⊕⊕⊝⊝
low

Medication appropriateness

Medication review may lead to an improvement in medication appropriateness

1566 in 152 care homes (5 studies)

⊕⊕⊝⊝
low

Medicine costs

It is uncertain whether medication review decreases medication costs

4734 in 142 care homes (5 studies)

⊕⊝⊝⊝
very low

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

Quality assessment of evidence for each outcome was based on study design, risk of bias, inconsistency, indirectness and imprecision. The evidence was downgraded from high to low for adverse drug events (Crotty 2004b; Gurwitz 2008) due to a serious risk of bias and imprecision. The evidence was downgraded from high to low for hospital admissions (Furniss 2000; Roberts 2001; Crotty 2004b; Zermansky 2006; Frankenthal 2014; Garcia‐Gollarte 2014; Pitkala 2014; Connolly 2015), mortality (Furniss 2000; Roberts 2001; Zermansky 2006; Frankenthal 2014; Pitkala 2014; Connolly 2015), quality of life (Frankenthal 2014; Pitkala 2014) and medication appropriateness (Crotty 2004a; Crotty 2004b; Frankenthal 2014; Garcia‐Gollarte 2014; Pitkala 2014) due to a serious risk of bias and inconsistency. The evidence for medicines costs (Furniss 2000; Roberts 2001; Crotty 2004a; Zermansky 2006; Frankenthal 2014 was downgraded from high to very low due to a serious risk of bias, inconsistency and imprecision. The evidence for medicine‐related problems (Strikwerda 1994; Claesson 1998; Furniss 2000; Roberts 2001; Crotty 2004b; Zermansky 2006; Frankenthal 2014 was reduced from high to low due to design, risk of bias and imprecision.

Figures and Tables -
Table 1. Summary of study characteristics

Study,Country, Design

Participants

Intervention

Outcome measures

Duration

Claesson 1998

Sweden

Cluster‐RCT

1854 residents in 33 nursing homes

Multidisciplinary meetings with physician, pharmacist and nurse(s)

Medication‐related problems

14 months

Connolly 2015

Australia

Cluster‐RCT

1998 residents in 36 nursing homes

Multidisciplinary meetings with study geriatrician, a GP, a pharmacist and a nurse manager. Education of nurses and care‐givers

Hospital admissions

Mortality

14 months

Crotty 2004a

Australia

Cluster‐RCT

154 residents in 10 nursing homes

Multidisciplinary case conferencing with GP, a geriatrician, a pharmacist, residential care staff and an Alzheimer's Association representative

Medication Appropriateness Index

3 months

Crotty 2004b

Australia

Patient‐RCT

110 patients discharged to 85 long‐term care facilities

Pharmacist transition co‐ordinator. Transfer of medicines information to nursing staff, family physician and community pharmacist plus medication review and case conferencing

Adverse drug events

Hospital admissions

Medication‐related problems

Medication Appropriateness Index

8 weeks

Frankenthal 2014

Israel

Patient‐RCT

359 residents in 1 chronic care geriatric facility

Medication review by the study pharmacist

Hospital admissions

Mortality

Quality of life

Medication appropriateness (STOPP‐START)

Medication‐related problems

Medicine costs

12 months

Furniss 2000

UK

Cluster‐RCT

330 residents in 14 nursing homes

Medication review by a single pharmacist

Hospital admissions

Mortality

Medication‐related problems

Medicine costs

8 months

Garcia‐Gollarte 2014

Spain

Cluster‐RCT

716 residents in 36 nursing homes

Physician educational programme followed by on‐demand support (prescription advice) by phone

Hospital admissions (total number of days spent in hospital)

Medication appropriateness (STOPP‐START)

6 months

Gurwitz 2008

USA/Canada

Cluster‐RCT

1118 residents in 29 units in 2 long‐term care facilities

Computerised provider order entry with clinical decision support

Adverse drug events

12 months

Pitkala 2014

Finland

Cluster‐RCT

227 residents in 20 assisted living facilities

Nurse training and education

Hospital admissions

Mortality

Health‐related Quality of Life

Medication appropriateness (Beer's criteria plus others)

12 months

Roberts 2001

Australia

Cluster‐RCT

3230 residents in 52 nursing homes

Introduction of new professional role, nurse education and medication review by pharmacists

Hospital admissions

Mortality

Medication‐related problems

Medicine costs

24 months

Strikwerda 1994

Netherlands

Cluster‐RCT

196 residents in 1 nursing home

Feedback on GP prescribing from community pharmacist

Medication‐related problems

6 weeks

Zermansky 2006

UK

Patient‐RCT

661 residents in 65 care homes

Medication review by a single pharmacist

Hospital admissions

Mortality

Medication‐related problems

Medicine costs

6 months

Figures and Tables -
Table 1. Summary of study characteristics