Social determinants of access to primary care in Canada
Bibliographic record
Abstract
Despite the promise of universal care, many Canadians report having unmet healthcare needs. We conducted two studies: (1) a systematic review of studies on social determinants of health (SDH) and unmet need; and (2) a secondary analysis using the Canadian Longitudinal Study on Aging (CLSA) to investigate the association of SDH and (2a) self-reported unmet need and (2b) having a family physician. The review (n=40) found a positive association between unmet need and lower income, mental health and chronic conditions, and negative association with older age, better perceived health and having a family physician. The CLSA analysis found the odds of having a family physician were >1 for older age, female sex, higher household income and having chronic conditions. The odds of having unmet need were >1 for younger age, female sex, non-white, low household income, poor health status, chronic conditions and not having a family physician. Policymakers need to consider these determinants to address system-wide barriers to healthcare access.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".