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Community Pharmacy Dispensing Errors: A Comprehensive Systematic Review on Trends and Solutions.
Azadeh Eshraghi1, Niloofar Madani1, Hamidreza Aslani1
1Department of Clinical Pharmacy and Pharmacoeconomics, School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran.
Pharmacy dispensing errors are common, especially in community settings, with wrong doses and similar drug names being frequent issues. Multimodal strategies combining technology and staff training may reduce these significant patient safety risks.
Area of Science:
- Pharmacy Practice
- Patient Safety
- Healthcare Quality Improvement
Background:
- Dispensing errors in pharmacies present significant patient safety risks and increase healthcare costs globally.
- Limited comprehensive studies exist on the prevalence, causes, and effective interventions for medication dispensing errors.
Purpose of the Study:
- To systematically review the current evidence on dispensing error prevalence in outpatient and community pharmacies.
- To identify key risk factors contributing to dispensing errors.
- To evaluate the impact of mitigation strategies on reducing dispensing errors.
Main Methods:
- Systematic literature search following PRISMA guidelines across PubMed, Embase, and CINAHL (Jan 2010 - June 2025).
- Inclusion of 22 studies (13 developing, 9 developed countries) reporting calculable prevalence.
- Data extraction and bias assessment using NHLBI and GRADE tools by two independent reviewers.
Main Results:
- Dispensing error rates varied widely (0.001%-11.53%), higher in community (mean 4.12%) than outpatient pharmacies (1.85%).
- Common errors included wrong dose/strength (58.6%) and look-/sound-alike drug confusion (47.90%).
- Key contributing factors were high workload (55%), staff shortages (22%), and illegible prescriptions (30.70%).
Conclusions:
- Dispensing errors remain a critical issue, particularly in community pharmacies and underserved regions.
- Multimodal strategies integrating technology, standardized workflows, and staff training show potential for error reduction.
- Very low certainty of evidence necessitates further research with consistent methods and robust error reporting systems.
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