Skip to main content
RACS ASC 2025
Improving Australia’s national surgical mortality audit using Quality Improvement Statistical Process Control charts
Verbal Presentation
Edit Your Submission
Edit

Verbal Presentation

11:00 am

05 May 2025

Meeting Room C4.9

RESEARCH PAPERS

Watch The Presentation
Presentation Description

Institution: Australian and New Zealand Audit of Surgical Mortality - South Australia, Australia

Purpose The aim of this study was to determine if the Australian and New Zealand Audit of Surgical Mortality (ANZASM) could use near real time Statistical Process Control (SPC) Quality Improvement (QI) methodology to provide hospitals with more timely and relevant feedback. Methodology This was a retrospective analysis of data prospectively collected between 2019 and 2023. The ANZASM has a 99% case ascertainment rate. Post-operative and non-operative deaths, associated unplanned events (e.g. returns to theatre), surgical complications and Clinical Management Issues including adverse events were presented using funnel plots (to show outliers) and SPC charts to demonstrate longitudinal variation. The data was explored at state, hospital and specialty level. Results There was a progressive overall fall in the annual number of deaths. The funnel plots revealed outliers at both state and hospital level. National data for most specialties and large hospitals could also be reported. The quarterly SPC charts for hospitals identified developing special cause variation some 18 months before the traditional format in the current annual reports. Conclusion ANZASM is now finalising cases in a more timely manner. If this QI data is promptly returned it can be discussed at monthly mortality and morbidity meetings and would permit early discussion of any developing special cause variation. That would likely reduce deaths and improve other outcomes. The progressive overall fall in mortality is likely to be a consequence of the long term education imparted through ANZASM. This reporting will be greatly facilitated by the use of near real time dashboard.
Presenters
Authors
Authors

Mr Robert Aitken - , Mr Wentao Wang - , Ms Franca Itoch - , Dr Helena Kopunic - , Mr Nathan Proctor - , Dr Wendy Babidge - , Professor Guy Maddern -