ArticleANZ journal of surgery
Timeliness of Care and Treatment Patterns for Pancreatic Cancer in Victoria, Australia: Comparison With Optimal Care Pathways Targets.
Article in ANZ journal of surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionOptimal care pathways (OCP) were developed in Australia as a framework to define quality and timeliness targets. The 2022 National Pancreatic Cancer Roadmap highlighted a paucity of population-level data on pancreatic cancer management in Australia, such that compliance with OCP targets is uncertain. This study used real-world data to compare pancreatic cancer care in Victoria, Australia, against OCP targets.
methodsData collected on pancreatic cancer patients between January 2016 and July 2025 were extracted from the PURPLE registry for five Victorian tertiary hospitals. Care processes and timeliness outcomes were compared with OCP benchmarks.
results1878 patients were identified, with a median age of 70 years. At diagnosis, 41% had metastatic disease and 69% were ECOG performance status 0-1. Median interval from diagnosis to surgery was 20 days (OCP benchmark ≤ 28 days) with 60% of patients operated on within the timeframe, and to adjuvant therapy 55 days with 88% of patients receiving chemotherapy within the OCP benchmark of ≤ 84 days. However, just 33% received neoadjuvant chemotherapy, and 38% received palliative chemotherapy within the 28-day timeframe for commencing systemic treatment. Palliative care referral occurred in 65% of patients with advanced disease and 61% were discussed at a multidisciplinary meeting. Marked inter-site variation was evident across metrics.
conclusionIn Victoria, Australia, pancreatic cancer care variably met OCP targets. Real-world registry data can identify domains of care where performance is strong and highlight opportunities for process improvement and resource optimisation. Where OCP targets are rarely achieved, these findings support review of their real-world feasibility.
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