Background: The Victorian Audit of Surgical Mortality (VASM) seeks to peer review all deaths associated with surgical care in Victoria, Australia. The effectiveness of the VASM as an educational and quality improvement tool is dependent on the accuracy of source data it receives. We aimed to examine the accuracy and quality of source data provided by the treating surgeon for peer review, and the inter-rater concordance level between the external validator findings and the treating surgeon. Methods: Of the 629 cases that completed the VASM audit second-line peer review process over a 4-year period (from 1 July 2012 to 30 June 2016), a total of 32 (5%) were randomly selected for the external validation process. The blinded external validator was impartial to the VASM audit, and was provided only de-identified patient medical records. The analysis for the checked and validated data points and their concordance was determined using Gwet's agreement coefficient, which provides a stable inter-rater reliability coefficient not affected by prevalence and marginal probability. Results: The inter-rater concordance analysis suggested that there is a high level of agreement (82.9% overall) between the treating surgeon and external validator. The use of thromboembolism deterrent stockings was the only variable where agreement was poor (52.4%) with a Gwet score of 0.10 (−0.40 to 0.60). Conclusion: The inter-rater concordance analysis results support the validity of the VASM process, which is dependent on the accuracy of data submitted by the treating surgeon.

, and identify common causes, clinical management issues (CMIs), and areas for improvement. Patients and Methods All urological-related deaths reported to the Australian and New Zealand Audit of Surgical Mortality (ANZASM) from 2009 to 2017 were analysed. The Bi-National Audit of Surgical Mortality (BAS) database was interrogated for any involvement with renal, ureteric or bladder stones and all relevant associated data analysed. Any CMIs documented by the peer reviewers were recorded and compared to those in urology and all of surgery ANZASM data. Results Of 1034 total urological deaths, 100 (9.7%) were related to stones. The mean (range) age of patients was 74.4 (21-97) years; 95% of the patients underwent at least one procedure, with 45 (47.4%) of these being elective. Urinary sepsis was responsible for 49.5% of the deaths, with 20% dying of cardiac events. In all, 39% (37/95) of deaths were associated with CMIs, the most common considerations being delays in diagnosis or treatment, perioperative management and inadequate preoperative evaluation. This is a considerably higher percentage than the 26% recorded for the general urology and all surgery national data. Ureterorenoscopy at 54% (12/22) had the highest rate of CMIs. Conclusion Death related to stone surgery represents only a small proportion of all urological surgical deaths, but generates more CMIs amongst ANZASM peer assessors. Results could be improved with more rapid diagnosis and treatment. Careful case selection and access to all treatment options are recommended.

Background: In recent years, there has been a concerted drive for an increase in public reporting of hospital-level outcomes as a means of identifying strategies to improve patient safety. Surgical care, as a high-risk area of medical practice, has come under sharp scrutiny. This study uses data from the Victorian Audit of Surgical Mortality (VASM) in conjunction with data from the Victorian Admitted Episode Dataset to compare hospital rates of clinically identified serious clinical management issues that were definitely or probably preventable and caused or contributed to the death of the patient who would otherwise be expected to survive. Methods: Cases where the date of death was between 1 July 2015 and 30 June 2017 that completed the full VASM audit process were extracted from the VASM database and combined with data extracted from the Victorian Admitted Episode Dataset, where a surgical admission occurred in the same time period. A logistic regression model was used as a method of indirect standardization to derive the probability of preventable clinical management issues, which was then used to calculate the standardized incident rate for all Victorian surgical hospitals. Hospitals were compared by plotting the standardized incident rates on three funnel plots. Results: There were five hospitals (8.3%) of the 60 that deviated significantly from the state-wide rate of 0.00012. Conclusion: The risk adjustment model identified several hospitals that may have a systematic issue which warrant further clinical quality assurance investigation.© 2020 Royal Australasian College of Surgeons ANZ J Surg 90 (2020) 728-733

Background: The Victorian Audit of Surgical Mortality (VASM) is designed to improve the level of patient care by educating surgeons of areas for improvement in patient management during a surgical admission. Coronial data obtained via the National Coronial Information System were used as an independent method to validate the cause of death as determined by the treating surgeon. Method: The audit prospectively collected 4905 cases that underwent peer assessment and 842 (17%) received an in-depth second-line assessment of which 200 (24%) also underwent a coronial review. Using the coronial assessment as the reference standard, retrospective comparison of coronial diagnoses compared with the audit case outcomes was conducted to determine the overall accuracy of the stated cause of death. The degree of agreement was also analysed based on whether the patient received a full autopsy (internal examination) or an external examination only. The time taken to obtain the coronial and audit case closure was also analysed. Results: Overall, 195 of the 200 cases had a cause of death identified by the coroner. In 82%, the cause of death reported to VASM by the treating surgeon matched the cause of death determined by the coroner. Concordance was not affected by the extent of post-mortem performed. Time taken to finalize cases was slightly shorter for the coronial process, but unclosed coronial findings resulted in the exclusion of 103 cases. Conclusion:The causes of death data in VASM are accurate when compared with the coronial data independent of whether the coronial investigation included a complete autopsy.