The impact and prevention of systemic and diagnostic errors in surgical malpractice claims in Japan: a retrospective cohort study
- PMID: 36127545
- DOI: 10.1007/s00595-022-02590-9
The impact and prevention of systemic and diagnostic errors in surgical malpractice claims in Japan: a retrospective cohort study
Abstract
The Surgical Patient Safety System (SURPASS) has been proven to improve patient outcomes. However, few studies have evaluated the details of litigation and its prevention in terms of systemic and diagnostic errors as potentially preventable problems. The present study explored factors associated with accepted claims (surgeon-loss). We retrospectively searched the national Japanese malpractice claims database between 1961 and 2017. Using multivariable logistic regression models, we assessed the association between medical malpractice variables (systemic and diagnostic errors, facility size, time, place, and clinical outcomes) and litigation outcomes (acceptance). We evaluated whether or not the factors associated with litigation could have been prevented with the SURPASS checklist. We identified 339 malpractice claims made against general surgeons. There were 159 (56.3%) accepted claims, and the median compensation paid was 164,381 USD. In multivariable analyses, system (odds ratio, 27.2 95% confidence interval 13.8-53.5) and diagnostic errors (odds ratio 5.3, 95% confidence interval 2.7-10.5) had a significant statistical association with accepted claims. The SURPASS checklist may have prevented 7% and 10% of the accepted claims and systemic errors, respectively. It is unclear what proportion of accepted claims indicated that general surgeon loses should be prevented from performing surgery if the SURPASS checklist were used. In conclusion, systemic and diagnostic errors were associated with accepted claims. Surgical teams should adhere to the SURPASS checklist to enhance patient safety and reduce surgeon risk.
Keywords: Diagnostic error; General surgeons; Medical malpractice claims; Surgical patient safety system; System error.
© 2022. The Author(s) under exclusive licence to Springer Nature Singapore Pte Ltd.
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