A human error taxonomy for analysing healthcare incident reports: assessing reporting culture and its effects on safety perfomance

Kenji Itoh, N. Omata, Henning Boje Andersen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The present paper reports on a human error taxonomy system developed for healthcare risk management and on its application to evaluating safety performance and reporting culture. The taxonomy comprises dimensions for classifying errors, for performance-shaping factors, and for the maturity of reporting culture contained in incident reports. Applying several dimensions in the taxonomy, we propose on the one hand two safety performance measures, i.e., the rate of near-miss reporting and the rate of near-miss detection by safety procedure, and on the other, measures for diagnosing reporting culture including average descriptive depth in reports. We applied the taxonomy to a total of 3749 incident cases collected from two Japanese hospitals, which were at different stages of patient safety activities: Hospital A initiated organisation-wide initiatives several years before the survey period, while such safety-related activities had just commenced in Hospital B. The hospitals also differed in their reporting rates of incidents per nurse: 3.05 (A) vs. 0.65 (B). Results show that the taxonomy can identify differences between these hospitals both in terms of safety performance and reporting culture. In addition, a correlation trend was observed between these two measures
    Original languageEnglish
    JournalJournal of Risk Research
    Volume12
    Issue number3 & 4
    Pages (from-to)485-511
    ISSN1366-9877
    DOIs
    Publication statusPublished - 2009

    Keywords

    • incident reporting
    • human error taxonomy
    • patient safety
    • organisational learning
    • inter-rater reliability
    • reporting culture

    Cite this

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    title = "A human error taxonomy for analysing healthcare incident reports: assessing reporting culture and its effects on safety perfomance",
    abstract = "The present paper reports on a human error taxonomy system developed for healthcare risk management and on its application to evaluating safety performance and reporting culture. The taxonomy comprises dimensions for classifying errors, for performance-shaping factors, and for the maturity of reporting culture contained in incident reports. Applying several dimensions in the taxonomy, we propose on the one hand two safety performance measures, i.e., the rate of near-miss reporting and the rate of near-miss detection by safety procedure, and on the other, measures for diagnosing reporting culture including average descriptive depth in reports. We applied the taxonomy to a total of 3749 incident cases collected from two Japanese hospitals, which were at different stages of patient safety activities: Hospital A initiated organisation-wide initiatives several years before the survey period, while such safety-related activities had just commenced in Hospital B. The hospitals also differed in their reporting rates of incidents per nurse: 3.05 (A) vs. 0.65 (B). Results show that the taxonomy can identify differences between these hospitals both in terms of safety performance and reporting culture. In addition, a correlation trend was observed between these two measures",
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    A human error taxonomy for analysing healthcare incident reports: assessing reporting culture and its effects on safety perfomance. / Itoh, Kenji; Omata, N.; Andersen, Henning Boje.

    In: Journal of Risk Research, Vol. 12, No. 3 & 4, 2009, p. 485-511.

    Research output: Contribution to journalJournal articleResearchpeer-review

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    AB - The present paper reports on a human error taxonomy system developed for healthcare risk management and on its application to evaluating safety performance and reporting culture. The taxonomy comprises dimensions for classifying errors, for performance-shaping factors, and for the maturity of reporting culture contained in incident reports. Applying several dimensions in the taxonomy, we propose on the one hand two safety performance measures, i.e., the rate of near-miss reporting and the rate of near-miss detection by safety procedure, and on the other, measures for diagnosing reporting culture including average descriptive depth in reports. We applied the taxonomy to a total of 3749 incident cases collected from two Japanese hospitals, which were at different stages of patient safety activities: Hospital A initiated organisation-wide initiatives several years before the survey period, while such safety-related activities had just commenced in Hospital B. The hospitals also differed in their reporting rates of incidents per nurse: 3.05 (A) vs. 0.65 (B). Results show that the taxonomy can identify differences between these hospitals both in terms of safety performance and reporting culture. In addition, a correlation trend was observed between these two measures

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    KW - patient safety

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