Evidence map›Paper›PMID 37234198›Full record

ArticleHealth science reports2023

Potentially inappropriate medications use in a psychiatric elderly care hospital: A cross-sectional study using Beers criteria.

Gracia Yaghi, Bahia Chahine

Open access · goldAbstract read
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Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Gracia YaghiSchool of Pharmacy Lebanese International University Beirut Lebanon.
Bahia ChahineSchool of Pharmacy Lebanese International University Beirut Lebanon.ORCID https://orcid.org/0000-0002-4204-359X
Lebanese International University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Potentially inappropriate medications (PIMs) carry risks that outweigh any potential benefits when compared to safer or more effective alternative treatments. Adverse drug events are more likely to occur in older adults with psychiatric diseases due to multimorbidity, polypharmacy, and age-related changes in drug pharmacokinetics and pharmacodynamics. The aim of this study was to assess the prevalence and risk factors of PIM use in an aged care hospital's psychogeriatric division, using the American Geriatrics Society Beers criteria 2019. Methods: This cross-sectional study was conducted on all current inpatients, having a mental disorder and aged ≥65 years, in one elderly care hospital in Beirut, from March to May 2022. Medications, sociodemographic and clinical characteristics were collected from patients' medical records. PIMs were evaluated based on Beers criteria 2019. Independent variables were described using descriptive statistics. Factors associated with PIM use were identified by bivariate analysis followed by binary logistic regression. A two-sided Results: The study included 147 patients, with a mean age of 76.3 years, 46.9% of them having schizophrenia, 68.7% using 5 or more drugs and 90.5% taking at least 1 PIM. The most prescribed PIMs were antipsychotics (40.2%), anticholinergics (16%), and antidepressants (7.8%). PIM use was significantly associated with polypharmacy (AOR = 20.88, 95% CI: 1.22-357.87, Conclusion: PIMs were highly prevalent among hospitalized Lebanese psychiatric elderly. Polypharmacy and ACB score were the determinants of PIM use. A multidisciplinary medication review led by a clinical pharmacist could reduce PIM use.

Indexed as

Beers criteriaLebanonolder adultspolypharmacypotentially inappropriate medicationpsychiatric disorderspsychogeriatric unit

Identifiers

PMID37234198
PMCPMC10206279
OpenAlexW4378072124

What OpenQuestion holds

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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.