An Exploration of “Near-Miss” Events in Non-Operating Room Anesthesia Locations
Authors' conclusion
With a systematic survey, we were able to capture near-miss events which would otherwise have been lost.
Study context
- Population
- Adult in-hospital non-operating room anesthesia (NORA) cases, excluding ICU and peri-partum areas
- Participants
- 1,383 completed surveys
- Exposure
- Cases with vs without near-miss events
- Near-missn = 90
- No near-missn = 1,293reference
- Outcome
- Incidence of near-miss events
Methodological detailsexploratory, survey-based, Over a 42-week period; data collection day rotated weekly; REDCap survey to anesthesiologists, nurse anesthetists and residents
- Exploratory
- Survey-based
- Over a 42-week period; data collection day rotated weekly; REDCap survey to anesthesiologists, nurse anesthetists and residents
Main finding
As reported in the abstract
Near-miss incidence
Incidence rate (43/1336), study data collection days, voluntary near misses removed
3.22%
Observational data: associations, not effects.
Further findings
Age
P = 0.03
Male sex
P = 0.03
Emergent procedures
P < 0.001
Involvement of resident providers
P < 0.001
Procedure duration
P < 0.001
| Outcome | Near-miss | No near-miss | OR | P value |
|---|---|---|---|---|
| ASA physical status III and IV | 72.2% | — not stated in the abstract | P < 0.001 | |
| Near-miss events by presence of a resident provider (LASSO logistic regression)Presence of a resident provider · LASSO logistic regression model | 2.38 | P = 0.02 |
— not stated in the abstract
Top near-miss locations
- MRI suite
- 21/90 [23.3%]
- Neuro interventional radiology suite
- 15/90 [16.7%]
- Body interventional radiology suite
- 11/90 [12.2%]
Near-miss category and subcategory
- Top category: environmental concerns
- 75/90 [83.3%]
- Top subcategory: poor group dynamics
- 31/90 [34.4%]
Original publication
An Exploration of “Near-Miss” Events in Non-Operating Room Anesthesia Locations. Anesth Analg. Published 1 June 2026. doi:10. 1213/ ane. 0000000000008131
Composed by AI from the published abstract and checked against it. How Briefs are made →