The association of female sex with application of evidence-based practice recommendations for perioperative care in hip fracture surgery
Bibliographic record
Abstract
BACKGROUND: Sex and gender inequality is prevalent in health care, and affects receipt of health care services and outcomes. Our objective was to measure the association between sex and receipt of evidence-based perioperative care for hip fracture in Ontario. METHODS: This was a population-based retrospective cross-sectional analysis. We identified all Ontario residents aged 66 years and older who had hip fracture surgery between 2014 and 2016. After protocol registration, we measured the adjusted association between female sex and perioperative geriatric care (primary outcome), anesthesia consultations, regional analgesia and neuraxial anesthesia (secondary outcomes) using multilevel multivariable adjusted logistic regression. Pre-specified sensitivity analyses were also performed. RESULTS: We identified 22 661 patients who had hip fracture surgery; 16 162 (71.3%) were women. Women were less likely to receive perioperative geriatric care (adjusted odds ratio [OR] 0.80, 95% confidence interval [CI] 0.72 to 0.88) and anesthesia consultations (adjusted OR 0.89, 95% CI 0.80 to 0.98); women were more likely to have timely surgery (adjusted OR 1.26, 95% CI 1.17 to 1.36). Receipt of neuraxial anesthesia (adjusted OR 0.98, 95% CI 0.93 to 1.04) and regional analgesia (adjusted OR 1.00, 95% CI 0.94 to 1.07) were not different between sexes. INTERPRETATION: ClinicalTrials.gov, no. NCT03422497.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".