Estimates and confidence intervals for mean postoperative health-care-associated infections per week among operating rooms and other anesthetizing locations
Franklin Dexter, Xin Zan, Randy W. Loftus · 2026
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Description
Dexter, Zan, and Loftus sharpen estimates of weekly infection counts for each operating room at a large hospital, in this 2026 paper. Anesthesia teams can help cut infections after surgery, but they need room-by-room numbers they can trust. The study covers one fiscal year at a teaching hospital in Iowa.
Across seventy-five rooms and over forty thousand cases, about 2.6 percent of patients developed an infection within ninety days. Most room-days saw no infections at all. The team compared a regression method with a batch-means approach for interval width. They weigh the costs of false alarms against missed excess infections. Better precision, they argue, tells managers where monitoring pays off.
Catalog record
| CREATOR | Franklin Dexter, Xin Zan, Randy W. Loftus |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |