Evidence map›Paper›PMID 29541966›Full record

SynthesisDrugs & aging2018

Impact of Deprescribing Interventions in Older Hospitalised Patients on Prescribing and Clinical Outcomes: A Systematic Review of Randomised Trials.

Janani Thillainadesan, Danijela Gnjidic, Sarah Green, Sarah N Hilmer

Registry-linked trialAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Drugs & aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04762303 (Spread and Scale of a Polypharmacy App to Improve Health Outcomes of Older Adults Living in New Brunswick Nursing Homes), which is not on this map. Cited by 97 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 17 pooled it
12.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04762303 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Spread and Scale of a Polypharmacy App to Improve Health Outcomes of Older Adults Living in New Brunswick Nursing Homes: an Effectiveness-Implementation Hybrid Type 2 Study Design for a Stepped Wedge Cluster Randomized Trial

TypeinterventionalSponsorCentre for Innovation and Research in Aging, CanadaRan2021 to 2022Enrolled1,000ConditionsPolypharmacy, Deprescribing, Adverse Drug EventArmsMedReviewRx
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 17 syntheses or guidelines pooled it, 205 citations in OpenAlex.

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  7. Consumer Attitudes Towards Deprescribing: A Systematic Review and Meta-Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
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37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Janani ThillainadesanDepartment of Aged Care, Royal North Shore Hospital, Sydney, NSW, Australia. Janani.Thillainadesan@health.nsw.gov.au.ORCID http://orcid.org/0000-0002-5287-7483
Danijela GnjidicNorthern Clinical School, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-9404-3401
Sarah GreenPharmacy Department, Royal North Shore Hospital, Sydney, NSW, Australia.
Sarah N HilmerDepartment of Aged Care, Royal North Shore Hospital, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-5970-1501
The University of Sydney · AURoyal North Shore Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolypharmacy and potentially inappropriate medications (PIMs) are prevalent in older adults in hospital, and are associated with negative outcomes including adverse drug reactions, falls, confusion, hospitalisation and death. Deprescribing may reduce inappropriate polypharmacy and use of inappropriate medications.

objectiveThe aim of this systematic review was to investigate the efficacy of deprescribing interventions in older inpatients to reduce PIMs and impact on clinical outcomes.

methodsOvid MEDLINE, Embase, Informit, International Pharmaceutical Abstracts, Scopus, PsycINFO, the Cochrane Central Register of Controlled Trials (CENTRAL) and CINAHL were searched for randomised controlled trials (RCTs) from 1996 to April 2017. RCTs reporting on deprescribing interventions to reduce PIMs in older hospitalised adults were eligible. Data were extracted, and study quality assessed. The primary outcome was reduction in PIMs. Where available, clinically relevant outcomes were assessed.

resultsNine RCTs (n = 2522 subjects) met the inclusion criteria. Deprescribing interventions were either pharmacist-led (n = 4), physician-led (n = 4) or multidisciplinary team-led (n = 1). Seven of the nine studies reported a statistically significant reduction in PIMs in the intervention group. There was no change in one study where there were zero PIMs on admission and discharge, and in the other study a reduction in PIMs that was not statistically significant was observed. There was significant heterogeneity in outcome measures and reporting. Few studies reported on the impact of deprescribing interventions on clinical outcomes. Reported clinical outcomes included drug-related problems (n = 3), quality of life (n = 2), mortality (n = 3), hospital readmissions (n = 4), falls (n = 3) and functional status (n = 2). Most studies reported a benefit in the intervention group that was not statistically significant. No notable harm was observed in the intervention group. There was a high risk of bias in the included studies.

conclusionsThe evidence available suggests that deprescribing interventions in hospital are feasible, generally effective at reducing PIMs and safe. However, the current evidence is limited, of low quality and the impact on clinical outcomes is unclear.

Indexed as

DeprescriptionsInpatientsAgedHumansRandomized Controlled Trials as TopicTreatment Outcome

Identifiers

PMID29541966
OpenAlexW2790248198

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.