Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative Data

<b>Background</b>: Medication errors cause adverse events; however, studies have yet to examine medication errors related to nursing hours while considering ward characteristics in Japan. Purpose: This study investigated medication errors caused by nurses to quantitatively assess ward ac...

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Main Authors: Mutsuko Moriwaki, Michiko Tanaka, Masayuki Kakehashi, Masato Koizumi, Hiromasa Horiguchi, Kenshi Hayashida
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Nursing Reports
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Online Access:https://www.mdpi.com/2039-4403/15/1/12
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author Mutsuko Moriwaki
Michiko Tanaka
Masayuki Kakehashi
Masato Koizumi
Hiromasa Horiguchi
Kenshi Hayashida
author_facet Mutsuko Moriwaki
Michiko Tanaka
Masayuki Kakehashi
Masato Koizumi
Hiromasa Horiguchi
Kenshi Hayashida
author_sort Mutsuko Moriwaki
collection DOAJ
description <b>Background</b>: Medication errors cause adverse events; however, studies have yet to examine medication errors related to nursing hours while considering ward characteristics in Japan. Purpose: This study investigated medication errors caused by nurses to quantitatively assess ward activity as busyness in nursing duties. <b>Methods</b>: This study considered patients hospitalized in the general wards of 10 National Hospital Organization institutions between April 2019 and March 2020. The study data were obtained from the Diagnosis Procedure Combination system, incident report system, and reports on nurse staffing and work hours. Data for 27,629 ward days with 88,475 patients were analyzed. Multivariate analysis was performed to determine the impact of factors on medication errors. <b>Results</b>: The mean patient age was 71.43 years (SD = 15.08). The medication error rate in nursing wards was 13.71%. The mean nursing time per patient during day shift was 1.95 h (SD = 0.58) in the non-medication error group and 2.06 h (SD = 0.58) in the medication error group (<i>p</i> < 0.01). The nursing time per patient in the medication error group compared to that in the non-medication error group had an odds ratio of 1.31 (<i>p</i> < 0.01) during day shifts. <b>Conclusions/Implications for practice</b>: Contrary to evidence, the results showed that medication errors caused by nurses related to increased nurse time with patients during day shifts. Further investigation is needed on the relationship of busyness with nursing duties to ensure an adequate nurse–patient ratio, nursing time, and improved patient safety.
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spelling doaj-art-a205ce382658454fa770e6ccd302dab12025-01-24T13:44:28ZengMDPI AGNursing Reports2039-439X2039-44032025-01-011511210.3390/nursrep15010012Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative DataMutsuko Moriwaki0Michiko Tanaka1Masayuki Kakehashi2Masato Koizumi3Hiromasa Horiguchi4Kenshi Hayashida5Quality Management Center, Institute of Science Tokyo Hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, JapanDepartment of Nursing, Daiichi University of Pharmacy, Fukuoka 815-8511, JapanGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, JapanDepartment of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo 152-8621, JapanDepartment of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo 152-8621, JapanDepartment of Medical Informatics and Management, University Hospital, University of Occupational and Environmental Health, Kitakyusyu 807-8555, Japan<b>Background</b>: Medication errors cause adverse events; however, studies have yet to examine medication errors related to nursing hours while considering ward characteristics in Japan. Purpose: This study investigated medication errors caused by nurses to quantitatively assess ward activity as busyness in nursing duties. <b>Methods</b>: This study considered patients hospitalized in the general wards of 10 National Hospital Organization institutions between April 2019 and March 2020. The study data were obtained from the Diagnosis Procedure Combination system, incident report system, and reports on nurse staffing and work hours. Data for 27,629 ward days with 88,475 patients were analyzed. Multivariate analysis was performed to determine the impact of factors on medication errors. <b>Results</b>: The mean patient age was 71.43 years (SD = 15.08). The medication error rate in nursing wards was 13.71%. The mean nursing time per patient during day shift was 1.95 h (SD = 0.58) in the non-medication error group and 2.06 h (SD = 0.58) in the medication error group (<i>p</i> < 0.01). The nursing time per patient in the medication error group compared to that in the non-medication error group had an odds ratio of 1.31 (<i>p</i> < 0.01) during day shifts. <b>Conclusions/Implications for practice</b>: Contrary to evidence, the results showed that medication errors caused by nurses related to increased nurse time with patients during day shifts. Further investigation is needed on the relationship of busyness with nursing duties to ensure an adequate nurse–patient ratio, nursing time, and improved patient safety.https://www.mdpi.com/2039-4403/15/1/12nursing timemedication errorsstaffingpatient safetyward activity
spellingShingle Mutsuko Moriwaki
Michiko Tanaka
Masayuki Kakehashi
Masato Koizumi
Hiromasa Horiguchi
Kenshi Hayashida
Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative Data
Nursing Reports
nursing time
medication errors
staffing
patient safety
ward activity
title Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative Data
title_full Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative Data
title_fullStr Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative Data
title_full_unstemmed Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative Data
title_short Influence of Nursing Time and Staffing on Medication Errors: A Cross-Sectional Analysis of Administrative Data
title_sort influence of nursing time and staffing on medication errors a cross sectional analysis of administrative data
topic nursing time
medication errors
staffing
patient safety
ward activity
url https://www.mdpi.com/2039-4403/15/1/12
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