Prevalence and contributing factors of dispensing errors in community pharmacies

Context: Dispensing errors pose a significant risk to patient safety and remain a primary concern in the practice of pharmacy. Aims: To assess the prevalence of dispensing errors and identify associated factors among community pharmacists in Jordan. Methods: A cross-sectional study was conducted among 202 community pharmacists using a validated questionnaire. The sample size was based on Green’s rule (n = 50 + 8*12 predictors). Quantile regression was employed to examine predictors of error frequency. Results: Common contributing factors included similar medication names (61.4%), unreadable prescriptions (67.3%), and incomplete prescriptions (66.3%). Higher error frequencies were observed among employee pharmacists (β = 2.333; p = 0.007) and male pharmacists (β = -1.667; p = 0.01). Conclusions: Dispensing errors remain prevalent. Employment status and gender were significantly associated with error frequency. Targeted interventions and policy reforms are recommended to reduce errors and improve patient safety.

Publication Details

Journal
Journal of Pharmacy & Pharmacognosy Research
Published
2025-10-03
DOI
https://doi.org/10.56499/jppres24.2283_13.6.1919
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00
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article

Prevalence and contributing factors of dispensing errors in community pharmacies

Journal of Pharmacy & Pharmacognosy Research
Economic and Technological Innovation
article

Prevalence and contributing factors of dispensing errors in community pharmacies

article en

Abstract

Context: Dispensing errors pose a significant risk to patient safety and remain a primary concern in the practice of pharmacy. Aims: To assess the prevalence of dispensing errors and identify associated factors among community pharmacists in Jordan. Methods: A cross-sectional study was conducted among 202 community pharmacists using a validated questionnaire. The sample size was based on Green’s rule (n = 50 + 8*12 predictors). Quantile regression was employed to examine predictors of error frequency. Results: Common contributing factors included similar medication names (61.4%), unreadable prescriptions (67.3%), and incomplete prescriptions (66.3%). Higher error frequencies were observed among employee pharmacists (β = 2.333; p = 0.007) and male pharmacists (β = -1.667; p = 0.01). Conclusions: Dispensing errors remain prevalent. Employment status and gender were significantly associated with error frequency. Targeted interventions and policy reforms are recommended to reduce errors and improve patient safety.

Journal of Pharmacy & Pharmacognosy ResearchVol. 13(6)
Gender equality
Openalex Percentile: Top 33%
Economic and Technological Innovation
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Prevalence and contributing factors of dispensing errors in community pharmacies · Journal of Pharmacy & Pharmacognosy Research (2025) | TGRS Research Map | TGRS