Evidence map›Paper›PMID 38872125›Full record

ArticleBMC primary care2024

Management of potentially inappropriate medication use among older adult's patients in primary care settings: description of an interventional prospective non-randomized study.

Carmela Bou Malham, Sarah El Khatib, Philippe Cestac, Sandrine Andrieu, Laure Rouch, Pascale Salameh

Abstract read
In one paragraph

Article in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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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

6 authors.

Carmela Bou MalhamAging Research Team, Center for Epidemiology and Research in POPulation health (CERPOP), Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, 31000, France. karmela_b_malham@live.com.ORCID 0000-0002-9743-4125
Sarah El KhatibAging Research Team, Center for Epidemiology and Research in POPulation health (CERPOP), Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, 31000, France.
Philippe CestacAging Research Team, Center for Epidemiology and Research in POPulation health (CERPOP), Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, 31000, France.
Sandrine AndrieuAging Research Team, Center for Epidemiology and Research in POPulation health (CERPOP), Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, 31000, France.
Laure RouchAging Research Team, Center for Epidemiology and Research in POPulation health (CERPOP), Université de Toulouse, Université Paul Sabatier, Inserm, Toulouse, 31000, France.
Pascale SalamehSchool of Medicine, Lebanese American University, Byblos, 1401, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe management of inappropriate medication use in older patients suffering from multimorbidity and polymedication is a major healthcare challenge. In a primary care setting, a medication review is an effective tool through which a pharmacist can collaborate with a practitioner to detect inappropriate drug use.

aimThis project described the implementation of a systematic process for the management of potentially inappropriate medication use among Lebanese older adults. Its aim was to involve pharmacists in geriatric care and to suggest treatment optimization through the analysis of prescriptions using explicit and implicit criteria.

methodThis study evaluated the medications of patients over 65 years taking a minimum of five chronic medications a day in different regions of Lebanon. Descriptive statistics for all the included variables using mean and standard deviation (Mean (SD)) for continuous variables and frequency and percentage (n, (%)) for multinomial variables were then performed.

resultsA total of 850 patients (50.7% women, 28.6% frail, 75.7 (8.01) mean age (SD)) were included in this study. The mean number of drugs per prescription was 7.10 (2.45). Roughly 88% of patients (n = 748) had at least one potentially inappropriate drug prescription: 66.4% and 64.4% of the patients had at least 1 drug with an unfavorable benefit-to-risk ratio according to Beers and EU(7)-PIM respectively. Nearly 50.4% of patients took at least one medication with no indication. The pharmacists recommended discontinuing medication for 76.5% of the cases of drug related problems. 26.6% of the overall proposed interventions were implemented. DISCUSSION: The rate of potentially inappropriate drug prescribing (PIDP) (88%) was higher than the rates previously reported in Europe, US, and Canada. It was also higher than studies conducted in Lebanon where it varied from 22.4 to 80% depending on the explicit criteria used, the settings, and the medical conditions of the patients. We used both implicit and explicit criteria with five different lists to improve the detection of all types of inappropriate medication use since Lebanon obtains drugs from many different sources. Another potential source for variation is the lack of a standardized process for the assessment of outpatient medication use in the elderly.

conclusionThe prevalence PIDP detected in the sample was higher than the percentages reported in previous literature. Systematic review of prescriptions has the capacity to identify and resolve pharmaceutical care issues thus improving geriatric care.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListPrimary Health CareAgedAged, 80 and overFemaleHumansLebanonMalePharmacistsPolypharmacyProspective StudiesAgedAmbulatory careInappropriate prescribingPharmacists

Identifiers

PMID38872125
PMCPMC11170768

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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.