Abstract

Purpose: The purpose of this study was to prepare a self-assessment questionnaire for nurses’ risk-taking behavior (RTB) in medication and to develop a reliable and valid questionnaire. Method: In the first study, a draft of the self-evaluation questionnaire for nurses’ RTB in medication was prepared based on the literature study and qualitative analysis of important case information included in the Project to Collect Medical Near-miss/Adverse Event Information Annual Report of the Ministry of Health, Labor and Welfare. Following the studies, face validity was confirmed, and a questionnaire survey was conducted for nurses who oversee medication nationwide to verify the reliability and validity. Result: The number of subjects was 586 (valid response rate: 94.1%). Item analysis and exploratory factor analysis showed that 4 factors and 12 items for the RTBs in daily life and 4 factors and 20 items for RTBs in medication could be extracted. Confirmatory factor analysis confirmed the fit of the hypothetical model obtained by exploratory factor analysis. In addition, Cronbach’s α coefficient was 0.888. Thus, high reliability and validity were obtained. A correlation was found by comparing the total scores of each RTB factor with the incident/accident group, and a standard for self-evaluation value could be established (p < 0.01). Conclusions: We were able to develop a self-assessment questionnaire for nurses’ risk-taking behavior in medication. This questionnaire will be used by nurses to find out their trends.

Highlights

  • In Japan, medical accidents are reported every year

  • In the first study, a draft of the self-evaluation questionnaire for nurses’ risk-taking behavior (RTB) in medication was prepared based on the literature study and qualitative analysis of important case information included in the Project to Collect Medical Near-miss/Adverse Event Information Annual Report of the Ministry of Health, Labor and Welfare

  • For the RTB items in daily life and the nurses’ RTB items in medication, exploratory factor analysis was performed by using the maximum likelihood method and Promax rotation to verify the factorial validity of each item

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Summary

Introduction

In Japan, medical accidents are reported every year. Many accidents related to drugs occurred, and about 60% of them involved nurses. Medical safety measures with the highest priority have been taken centering on system improvement, many problems due to personal factors in the breakdown of medical accidents by factor are included

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