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Systemic predictors of adverse events in a national surgical mortality audit: analysis of peer-review data from Australia and New Zealand Audit of Surgical Mortality
Citation
Turner, RC and Simpson Jr, S and Bhalerao, M, Systemic predictors of adverse events in a national surgical mortality audit: analysis of peer-review data from Australia and New Zealand Audit of Surgical Mortality, ANZ Journal of Surgery, 89, (11) pp. 1398-1403. ISSN 1445-1433 (2019) [Refereed Article]
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Copyright Statement
© 2019 Royal Australasian College of Surgeons
Abstract
Methods: From 2008 to 2016, cases reported to the Australia and New Zealand Audit of Surgical Mortality were analysed. Variables associated with peer-judged adverse events were sought.
Results: Of 21 045 cases evaluated, 24.8% incurred at least one adverse event judgement. The proportion of cases with reported adverse event significantly decreased over time. Following adjustment for demographic and clinical characteristics, significant negative patient-related associations were advanced age, greater American Society of Anesthesiologists grade, and neurological and malignant comorbidities. Significant associations were also found with systemic or organizational factors, including state/territory, surgical specialty and hospital regionality.
Conclusion: Examination of this peer-reviewed database revealed systemic or organizational predictors of adverse events that may have implications for quality improvement at an institutional or jurisdictional level. The extent to which these associations are due to the peer-review process itself should be the focus of further research.
Item Details
Item Type: | Refereed Article |
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Keywords: | peer review, surgical audit, surgical mortality |
Research Division: | Biomedical and Clinical Sciences |
Research Group: | Clinical sciences |
Research Field: | Surgery |
Objective Division: | Health |
Objective Group: | Clinical health |
Objective Field: | Treatment of human diseases and conditions |
UTAS Author: | Turner, RC (Professor Richard Turner) |
UTAS Author: | Simpson Jr, S (Dr Steve Simpson JR) |
UTAS Author: | Bhalerao, M ( Mrunmayee Bhalerao) |
ID Code: | 134912 |
Year Published: | 2019 |
Web of Science® Times Cited: | 2 |
Deposited By: | Menzies Institute for Medical Research |
Deposited On: | 2019-09-12 |
Last Modified: | 2021-05-12 |
Downloads: | 52 View Download Statistics |
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