Evaluating methods to detect variation in hospital level mortality and renal insufficiency within an Australian cardiac surgery registry
Clinical registries should consider their data parameters before commencing benchmarking to detect underperforming sites. To optimise accuracy of outlier flagging, outcomes should be risk-adjusted, cumulative datasets should be used in the case of low patient volumes and, where possible, outcomes with higher prevalence should be evaluated.
Authors
- Susannah Ahern (ORCID: https://orcid.org/0000-0001-9413-6897)
- Jenni Williams‐Spence
- Ahmad Reza Pourghaderi (ORCID: https://orcid.org/0000-0003-2682-2160)
- Arul Earnest (ORCID: https://orcid.org/0000-0003-2693-5034)
- Jessy Hansen (ORCID: https://orcid.org/0000-0001-5583-8773)
- Christopher M. Reid (ORCID: https://orcid.org/0000-0001-9173-3944)
- Julian A. Smith (ORCID: https://orcid.org/0000-0003-1244-4277)
- Lavinia Tran
Institutions
- Monash University (AU)
Publication Details
- Journal
- International Journal of Cardiology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1016/j.ijcard.2025.133517
- Citations
- 2
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- Queensland Health
- Australian Government
- Monash University
- Clinical Excellence Commission
- Medical Research Council
- National Health and Medical Research Council