Evidence map›Paper›PMID 36050942›Full record

ArticleJournal of Taibah University Medical Sciences2022

A nationwide assessment of community pharmacists' attitudes towards dispensing errors: A cross-sectional study.

Samar Karout, Hani M J Khojah, Lina Karout, Rania Itani

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2022. 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.

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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

4 authors.

Samar KaroutPharmacy Practice Department, Faculty of Pharmacy, Beirut Arab University, Beirut, Lebanon.
Hani M J KhojahDepartment of Clinical and Hospital Pharmacy, College of Pharmacy, Taibah University, Almadinah Almunawwarah, KSA.
Lina KaroutDepartment of Radiology, American University of Beirut Medical Center, Beirut, Lebanon.
Rania ItaniPharmacy Practice Department, Faculty of Pharmacy, Beirut Arab University, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Dispensing errors (DEs) are common causes of preventable harm to patients. Interestingly, very little is known about their prevalence and types in the community pharmacy setting in Lebanon due to the lack of an effective reporting system. Therefore, this study aims to explore the perceptions of community pharmacists about the types of these errors in Lebanon, the factors behind their occurrence, the reasons for underreporting, and the current practices for reducing them. Methods: A cross-sectional survey was conducted through a self-administered questionnaire, using a scale of 0-4, distributed among a sample of community pharmacists in Lebanon. Results: A total of 171 pharmacists responded to the survey, of whom 68% reported that DEs were common, and 52% believed that they were increasing. The main reported contributing factors to DEs were unreadable and incomplete prescriptions (≈3.0 ± 1.0 out of 5), workload, multitasking, interruptions, similarity in names of medications, and fatigue (≈2.5 ± 1.0). Moreover, the perceived strategies to limit the risks of DEs were collaboration with physicians, improving handwriting, double-checking, proper patient counselling, encouraging reporting, and issuance of guidelines (≈3.2 ± 1.0). Finally, the main reasons for underreporting DEs were the lack of obligation to report and the lack of reporting systems (59% and 56%, respectively). Conclusions: DEs may be very prevalent in Lebanon because they are unmonitored by the authorities. Electronic prescription and fair reporting systems are highly recommended, along with follow-up studies.

Indexed as

Community pharmacyDispensing errorsLebanonMedication errorsPatient safety

Identifiers

PMID36050942
PMCPMC9396061

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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.