Risk Adjusted Continuous Monitoring of Postoperative Mortality After Cardiac Surgery
CUSUM identifies hospitals with higher-than-expected mortality rates earlier than episodic analysis. Considering the time lag between data collection and report generation by national quality improvement (QI) programs, CUSUM represents a potentially useful tool that could facilitate more real-time recognition of performance concerns and encourage earlier implementation of interventions that can help avoid potentially preventable patient harm. Balancing sensitivity with the risk of false signaling will be essential for ensuring its effective application in national QI efforts.
Authors
- Nader N. Massarweh (ORCID: https://orcid.org/0000-0001-7891-4134)
- Robert T. Krafty (ORCID: https://orcid.org/0000-0003-1478-6430)
- Xiangqin Cui (ORCID: https://orcid.org/0000-0003-0621-9313)
- Alex H. S. Harris (ORCID: https://orcid.org/0000-0001-7267-3077)
- Turgay Ayer (ORCID: https://orcid.org/0000-0001-8720-0280)
- Zahra Mobini (ORCID: https://orcid.org/0000-0003-0955-108X)
- Ammer Saati
Institutions
- Georgia Institute of Technology (US)
- Emory University (US)
- Palo Alto University (US)
- Health Services Research & Development (US)
- Center for Innovation (US)
- Atlanta VA Health Care System (US)
- Morehouse School of Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Health Services Research
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1111/1475-6773.14607
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health