Evidence map›Paper›PMID 40436452›Full record

ArticleBMJ open2025

Prevalence of potentially inappropriate medication among older patients in a primary care unit of a tertiary care hospital in Thailand: a retrospective cross-sectional study.

Thareerat Ananchaisarp, Panya Chamroonkiadtikun, Kittipon Kodchakrai, Tanaboon Saeung, Thitiwut Charatcharungkiat, Patnaree Leelarujijaroen, Nopason Sae-Tang, Nanapat Kumkiem, Wipada Kanhin, Haran Sintateeyakorn and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Thareerat AnanchaisarpFamily and Preventive Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID http://orcid.org/0000-0002-3386-242X
Panya ChamroonkiadtikunFamily and Preventive Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand panya.c@psu.ac.th.ORCID http://orcid.org/0000-0001-5821-4739
Kittipon KodchakraiPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Tanaboon SaeungPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Thitiwut CharatcharungkiatPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Patnaree LeelarujijaroenPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Nopason Sae-TangPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Nanapat KumkiemPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Wipada KanhinPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Haran SintateeyakornPrince of Songkla University, Hat Yai, Songkhla, Thailand.
Kasidintorn WatcharajiranichPrince of Songkla University, Hat Yai, Songkhla, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOlder adults are prone to developing multiple chronic diseases and have increased medication usage. This has led to the prescription of potentially inappropriate medications (PIMs). This study aimed to assess PIM prevalence among patients visiting the primary care unit (PCU) of a tertiary care hospital and evaluate the associated factors.

designA retrospective cross-sectional study by reviewing medical records in the hospital information system.

settingThe PCU of a tertiary care hospital.

participantsPatients aged ≥65 years who visited the PCU between 1 June and 30 November 2023 and received at least one oral medication. PRIMARY AND SECONDARY OUTCOME MEASURES: PIMs were diagnosed using the updated American Geriatrics Society Beers criteria 2023, and logistic regression was used to identify factors associated with PIM prescriptions.

resultsThe study included 1600 participants, of whom 62.9% were female, with a median age of 72.0 years (IQR=68.0-77.0). The prevalence of PIMs was 39.4%. The three most common PIMs prescribed were diuretics, benzodiazepines and sulfonylureas. An increasing number of underlying diseases, presenting with acute illness (compared with follow-up only) and being treated by staff physicians (compared with trainee physicians) were significantly associated with increased odds of PIM prescriptions (adjusted OR (95% CI) = 1.59 (1.42 to 1.79), 1.58 (1.28 to 1.94) and 1.84 (1.33 to 2.54), respectively).

conclusionPIM prescriptions among older patients in the PCU were high, particularly in those with multiple comorbidities and acute illness presentations. Therefore, physicians should prescribe medications with caution, and various explicit criteria can be used as screening tools to prevent PIM prescriptions.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListPrimary Health CareAgedAged, 80 and overCross-Sectional StudiesFemaleHumansLogistic ModelsMalePrevalenceRetrospective StudiesTertiary Care CentersThailandGERIATRIC MEDICINEPolypharmacyPrimary Health Care

Identifiers

PMID40436452
PMCPMC12121601

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LicenceCC BY-NC
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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.