Evidence map›Paper›PMID 41318374›Full record

SynthesisBMC geriatrics2025

Factors associated with the variation in drug prescription of antipsychotics in long-term care facilities: a systematic review.

Rabia Bibi, Massimiliano Panella, Samer Saada, Anil Babu Payedimarri, Andrea Conti, Sophia Russotto, Francesco Barone-Adesi, Alice Masini

Abstract readSystematic Review
In one paragraph

Synthesis in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Rabia BibiDepartment of Translational Medicine, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy.
Massimiliano PanellaDepartment of Translational Medicine, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy.
Samer SaadaDepartment of Health Sciences, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy.
Anil Babu PayedimarriDepartment of Translational Medicine, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy.
Andrea ContiDepartment of Translational Medicine, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy.
Sophia RussottoDepartment of Translational Medicine, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy.
Francesco Barone-AdesiDepartment of Translational Medicine, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy.
Alice MasiniDepartment of Translational Medicine, University of Eastern Piedmont, via Solaroli- 17, Novara, NO, 28100, Italy. alice.masini@uniupo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite warnings and strict guidelines, the use of antipsychotics in long-term care facilities (LTCFs) remains problematic worldwide. Several factors, including facility and resident characteristics, could influence prescription practices. Given the vulnerability of the older people, this systematic review aims to analyze the key factors leading to variations in antipsychotic prescribing practices in LTCFs.

methodFollowing PRISMA guidelines we searched PubMed, Scopus, CINAHL, and the Cochrane Library for primary research published between 2013 and 2023. Eligibility criteria included: population-LTCF residents aged 60 years or older with mental disorders; intervention-factors influencing variability in antipsychotic prescribing. The quality of the included studies was assessed using the JBI and STROBE checklists. Both data extraction and quality assessment were performed by two independent reviewers. Disagreements were resolved by consultation with a third reviewer.

resultOf 6572 records, 6394 were screened by title and abstract, resulting in 14 studies included in our analysis. We found that better staff training and the availability of more registered and licensed nurses were associated with lower antipsychotic medication (APM) use. Nonprofit and government facilities exhibited lower APM prevalence and better quality of care.

conclusionAddressing facility factors and promoting collaboration between health professionals is crucial to reducing unnecessary antipsychotic use. This approach highlights that antipsychotic use is influenced by diverse prescribing cultures and healthcare environments, extending beyond the patient's condition. Implementing guidelines and legislative actions can help reduce antipsychotic prescribing variation.

Indexed as

Antipsychotic AgentsDrug PrescriptionsLong-Term CareNursing HomesPractice Patterns, Physicians'AgedHumansAntipsychotic AgentsAntipsychoticsOlder peoplePrescriptionQuality of careVariability

Identifiers

PMID41318374
PMCPMC12797369

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.