Hospital-, Anesthesiologist-, Surgeon-, and Patient-Level Variations in Neuraxial Anesthesia Use for Lower Limb Revascularization Surgery: A Population-Based Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Although neuraxial anesthesia may promote improved outcomes for patients undergoing lower limb revascularization surgery, its use is decreasing over time. Our objective was to estimate variation in neuraxial (versus general) anesthesia use for lower limb revascularization at the hospital, anesthesiologist, surgeon, and patient levels, which could inform strategies to increase uptake. METHODS: Following protocol registration, we conducted a historical cross-sectional analysis of population-based linked health administrative data in Ontario, Canada. All adults undergoing lower limb revascularization surgery between 2009 and 2018 were identified. Generalized linear models with binomial response distributions, logit links and random intercepts for hospitals, anesthesiologists, and surgeons were used to estimate the variation in neuraxial anesthesia use at the hospital, anesthesiologist, surgeon, and patient levels using variance partition coefficients and median odds ratios. Patient- and hospital-level predictors of neuraxial anesthesia use were identified. RESULTS: We identified 11,849 patients; 3489 (29.4%) received neuraxial anesthesia. The largest proportion of variation was attributable to the hospital level (50.3%), followed by the patient level (35.7%); anesthesiologists and surgeons had small attributable variation (11.3% and 2.8%, respectively). Mean odds ratio estimates suggested that 2 similar patients would experience a 5.7-fold difference in their odds of receiving a neuraxial anesthetic were they randomly sent to 2 different hospitals. Results were consistent in sensitivity analyses, including limiting analysis to patients with diagnosed peripheral artery disease and separately to those aged >66 years with complete prescription anticoagulant and antiplatelet usage data. CONCLUSIONS: Neuraxial anesthesia use primarily varies at the hospital level. Efforts to promote use of neuraxial anesthesia for lower limb revascularization should likely focus on the hospital context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".