SHM Converge Scientific Abstract ePoster Gallery-Survey of Nurses Knowledge About Diagnostic Errors and Its Impact on Their Witnessing Physicians Diagnostic Errors

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This Japanese nationwide cross-sectional online survey examined whether nurses’ knowledge of diagnostic errors (DEs) is associated with their witnessing physicians’ diagnostic errors. Registered nurses from the Nikkei Medical website were surveyed between September and November 2023. The questionnaire included demographic items, the Diagnostic error Knowledge Assessment Test (D-KAT), and questions about whether nurses had witnessed a physician diagnostic error, including the past month.<br /><br />The main hypothesis was that nurses with greater DE knowledge would be more likely to recognize and report witnessing such errors. The study used logistic regression to test this relationship, adjusting for relevant covariates such as age, managerial position, institution type, urban/rural setting, and specialty skill.<br /><br />Among 295 nurses, 175 (59.3%) reported witnessing a diagnostic error, while 120 did not. Nurses who had witnessed diagnostic errors were older, had slightly higher D-KAT scores, were more likely to work in urban settings, and more often had specialty skills. In multivariate analysis, higher D-KAT scores were significantly associated with witnessing diagnostic errors (odds ratio 1.15, 95% CI 1.00–1.31, p = 0.044). Older age, urban practice, and specialty skill were also significant predictors.<br /><br />The authors conclude that nurses with better knowledge of diagnostic errors are more likely to notice them. They suggest that DE education, especially training on cognitive biases, may help nurses identify diagnostic problems and contribute to a safety culture that reduces diagnostic errors.

Asset Subtitle

Keisuke Iida

Meta Tag

Author List Anna Hayashi, David Aune, Keisuke Iida, Mamoru Miwa, Miwa Sekine, Taiju Miyagami, Takashi Watari, Toshio Naito, Yuichiro Mine, Yuji Nishizaki

Category Research

Concept Diagnostic Error

Concept NURSE

Concept Diagnostic Error Knowledge

Concept Physician

Concept Logistic Regression

Distinguished Non-Finalist

Presenter Organization Department of General Medicine, Faculty of Medicine, Juntendo University

Presenting Author Keisuke Iida

Track Patient Safety

Keywords

diagnostic errors

nurses

knowledge assessment

D-KAT

witnessing errors

logistic regression

Japan survey

patient safety

cognitive biases

diagnostic education

Diagnostic Error

NURSE

Diagnostic Error Knowledge

Physician

Logistic Regression