Relationship Between Social Deprivation and Access to Catheter Ablation for Atrial Fibrillation
Bibliographic record
Abstract
Background: Access to catheter ablation for atrial fibrillation (AF) may vary due to social deprivation. Objectives: This study sought to characterize the correlation between our outcomes of interest (rates of AF diagnoses, ablation referrals, and procedures) and the association between social deprivation and our outcomes. Methods: Rates and correlations of AF diagnoses, ablation referrals, and procedures were reported across 49 census divisions in Ontario, Canada. We used the Ontario Marginalization Index to determine the relationship between dependency, material deprivation, ethnic concentration, and residential instability and our outcomes. Results: Between April 2016 and March 2020, there were 146,366 patients diagnosed with AF; 6,506 patients were referred for ablation; and 4,673 patients underwent de novo ablation. The median age was 72 years (IQR: 61-81 years; 45% female) for the AF cohort and 62 years (IQR: 55-69 years, 33% to 34% female) for the referral and procedure cohorts. There was geographic variation and a weak concordance between AF diagnoses, ablation referrals, and procedures (correlation coefficients 0.33-0.36). Increased material deprivation was associated with more AF diagnoses (rate ratio [RR]: 1.13), but fewer ablation referrals (RR: 0.49) and procedures (RR: 0.48). Increased residential instability was associated with more AF diagnoses (RR: 1.02), but fewer ablation referrals (RR: 0.63) and procedures (RR: 0.64). Higher ethnic concentration was associated with fewer AF diagnoses, ablation referrals, and procedures. Conclusions: In a jurisdiction with universal health care, greater material deprivation and residential instability were associated with more AF diagnoses but less access to ablation, suggesting substantial social gradients in equitable access to AF care.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".