Evidence map›Paper›PMID 42700207›Full record

ArticleInternational journal of clinical pharmacy2026

Near-miss dispensing errors in Japanese community pharmacies: error types and associated factors across dispensing stages.

Takashi Umino, Tsugumichi Sato, Yoshiaki Shikamura, Kazushige Ijuin, Asuka Fujisawa, Yuki Iwama, Mayu Usami, Tomoe Asai, Mai Shimoyama, Rumoi Takahashi and 1 more

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Article in International journal of clinical pharmacy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Takashi UminoGraduate School of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Tsugumichi SatoGraduate School of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan. tsugusato@rs.tus.ac.jp.
Yoshiaki ShikamuraDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Kazushige IjuinDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Asuka FujisawaDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Yuki IwamaDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Mayu UsamiDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Tomoe AsaiDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Mai ShimoyamaDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Rumoi TakahashiDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.
Takehisa HanawaGraduate School of Pharmaceutical Sciences, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-Ku, Tokyo, 125-8585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe types and causes of dispensing errors vary across the stages of the complex dispensing process in community pharmacies. Notably, the analysis of near-miss reports may facilitate improvements in healthcare environments and operational practices.

aimWe aimed to identify the characteristics of the factors contributing to near-miss errors at each stage of the dispensing process and to determine which factors require priority action.

methodWe conducted a secondary analysis of near-miss dispensing errors voluntarily reported by community pharmacies through the near-miss reporting system of the Japan Council for Quality Health Care. The associations between various types of near-miss errors and their contributing factors were estimated using multivariate logistic regression models.

resultsAmong the 45,483 near-miss incidents, most were reported during the dispensing and accuracy-checking stages (n = 35,384, 77.8%). At the prescription data entry stage, near-miss errors were primarily associated with the usability of computer systems and look-alike/sound-alike (LASA) drug names. At the dispensing and accuracy-checking stage, the characteristic contributing factors included LASA drug names and similar appearances, patient preferences for brand name/generic, user-friendliness of equipment, and human factors among pharmacists. During the medicine supply stage, factors associated with inadequate confirmation of the patient's understanding were identified. Finally, at the post-supply stage, patient-related factors and insufficient communication were identified as key contributors.

conclusionBased on the reported near-miss events, priority actions are required to address LASA drug names and similar appearances, generic prescription systems, labour-intensive dispensing practices, the usability of computer systems and equipment, and inadequate communication with patients.

Indexed as

Community pharmacyContributing factorDispensing errorNear-missPatient safety

Identifiers

PMID42700207

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