Sex, Socioeconomic Status, Access to Cardiac Catheterization, and Outcomes for Acute Coronary Syndromes in the Context of Universal Healthcare Coverage
Bibliographic record
Abstract
BACKGROUND: Sex and neighborhood socioeconomic status (nSES) may independently affect the care and outcomes of acute coronary syndrome, partly through barriers in timely access to cardiac catheterization. We sought to determine whether sex modifies the association between nSES and the receipt of cardiac catheterization and mortality after an acute coronary syndrome in a universal healthcare system. METHODS AND RESULTS: We studied 14 012 patients with acute coronary syndrome admitted to cardiology services between April 18, 2004, and December 31, 2011, in Southern Alberta, Canada. We used multivariable logistic regression to compare the odds of cardiac catheterization within 2 and 30 days of admission and the odds of 30-day and 1-year mortality for men and women by quintile of neighborhood median household income. Significant relationships between nSES and the receipt of cardiac catheterization and mortality after acute coronary syndrome were detected for women but not men. When examined by nSES, each incremental decrease in neighborhood income quintile for women was associated with a 6% lower odds of receiving cardiac catheterization within 30 days (P=0.01) and a 14% higher odds of 30-day mortality (P=0.03). For men, each decrease in neighborhood income quintile was associated with a 2% lower odds of receiving catheterization within 30 days (P=0.10) and a 5% higher odds of 30-day mortality (P=0.36). CONCLUSIONS: Associations between nSES and receipt of cardiac catheterization and 30-day mortality were noted for women but not men in a universal healthcare system. Care protocols designed to improve equity of access to care and outcomes are required, especially for low-income women.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".