Evidence map›Paper›PMID 41709403›Full record

ArticleJournal of the American Geriatrics Society2026

Variation in Psychotropic and Non-Psychotropic Prescribing in Nursing Homes: A Multi-Level EMR-Based Retrospective Cohort Study.

Darly Dash, Ahmad Rahim, Henry Yu-Hin Siu, Aaron Jones, Maya Potter, Sophiya Benjamin, Paul R Katz, Jeffrey W Poss, George A Heckman, Andrew P Costa

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Darly DashDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-1881-5465
Ahmad RahimDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Henry Yu-Hin SiuDepartment of Family Medicine, McMaster University, Hamilton, Ontario, Canada.
Aaron JonesDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-6282-3614
Maya PotterTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Sophiya BenjaminDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Paul R KatzDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Jeffrey W PossSchool of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
George A HeckmanLawson Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Andrew P CostaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Funding

Canada Research Chair in Integrated Care for SeniorsCIHR #FBD-181577
6 · The paper itself

Abstract

backgroundAntipsychotic medications remain widely used in nursing homes (NHs) despite guidelines discouraging potentially inappropriate use. While home-level variation is known, less is understood at the unit and organization levels, or across other psychotropic and non-psychotropic drugs. We examined prescribing variation across NHs in Ontario, Canada. We examined prescribing variation for psychotropic and non-psychotropic drugs across NH units, homes, and organizations in Ontario, Canada.

methodsWe conducted a retrospective cohort study of NH residents using EMR data from April 1, 2022, to March 31, 2023. Outcomes included whether residents were prescribed any antipsychotic, antidepressant, statins, cardiovascular disease (CVD) medications, and trazodone for at least 1 day during the follow-up period. Multi-level logistic regression models adjusted for resident characteristics and included random intercepts for units, homes, and organizations.

resultsAmong 16,896 NH residents across 179 homes and five organizations, 39% were prescribed antipsychotics, 65.5% antidepressants, 33% statins, 65% CVD medications, and 38% trazodone. Substantial variation was observed across all medications. For antipsychotics, the home-level median odds ratio (MOR) was 1.65 (95% CrI: 1.52-1.78) and unit-level MOR was 1.24 (95% CrI: 1.10-1.33). Trazodone exhibited the highest variation (home-level MOR: 2.06, 95% CrI 1.75-2.37; unit-level MOR: 1.87, 95% CrI 1.76-1.97). No significant variation was found at the organization level. Resident characteristics, like aggression and dementia, were associated with prescribing but did not explain unit and home-level differences.

conclusionsPrescribing variation extends beyond antipsychotics to other common pharmacotherapies. Unit-level variation reveals additional unexplained variation not captured in previous home-level studies, providing new targets for research and quality improvement interventions. Future research should explore potential unit- and home-level contributors, such as staffing, practice culture, clinician decision-making, and policies.

Indexed as

Drug PrescriptionsNursing HomesPractice Patterns, Physicians'Psychotropic DrugsAgedAged, 80 and overAntidepressive AgentsAntipsychotic AgentsElectronic Health RecordsFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleNursing Home ResidentsOntarioRetrospective StudiesAntidepressive AgentsAntipsychotic AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsPsychotropic DrugsTrazodonehealth serviceslong‐term caremedicationnursing homesquality of care

Identifiers

PMID41709403
PMCPMC13080054

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Registered trials

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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.