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RACS ASC 2025
Benchmarking pancreaticoduodenectomy outcomes using Australian registry data
Verbal Presentation
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Verbal Presentation

4:12 pm

03 May 2025

Meeting Room C4.4

THE DAVID FLETCHER AWARD FOR CLINICAL RESEARCH IN HPB SURGERY

Disciplines

HPB Surgery

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Presentation Description

Institution: University of Melbourne - Victoria, Australia

Purpose Benchmarking surgical outcomes using local data is a key component of healthcare quality improvement. International consensus groups have outlined a range of benchmarks for pancreatic surgery but there are currently no national benchmarks for pancreaticoduodenectomy (PD) using Australian data. This study aimed to use existing registry data to develop benchmarks for PD in Australia. Methodology De-identified data from Australian pancreatic cancer registries (PURPLE, UGICR) were used to develop benchmarks for surgical outcomes for patients undergoing PD for pancreatic ductal adenocarcinoma (PDAC). Established methodologies were used to determine the best achievable benchmark of care (ABC™) and minimum standard for low-risk cases. Results PURPLE included 602 PDAC patients from 18 hospitals undergoing PD since 2009, with UGICR data under analysis. From PURPLE, lymph node (LN) count was the only surgical outcome available to benchmark. The minimum standard benchmark LN count (n=440) was 15.9. The ABC™ benchmark proportion of patients with LN count ≥15 (ISGPS recommendation) was 0.96. Funnel plots identified two outlier hospitals with observed LN counts worse than expected at a national level. UGICR data will be used to develop additional benchmarks. Conclusion This is the first national benchmark for PD using Australian data, with both best achievable and minimum standard benchmarks constructed. Almost all hospitals in PURPLE met ISGPS recommendations for LN count. However, there is limited surgical outcome data in Australia, restricting the capacity for benchmarking. There is a need to capture more surgical outcome data in a national clinical registry to facilitate quality improvement.
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Authors

Dr Elizabeth Lockie - , Prof John Zalcberg - , A/Prof Anita Skandarajah - , A/Prof Benjamin Loveday -