Social Determinants of Health and Uptake of Colorectal Cancer Screening in Canada
Bibliographic record
Abstract
Colorectal cancer (CRC) screening uptake may be associated with social determinants of health and could indicate potential barriers to health service access. The goal of this thesis was to evaluate the association of social determinants with CRC screening in screen-eligible adults. We used Andersen’s Behavioural Model of Health Service Utilization and the PROGRESS-Plus Framework to conceptualize potential social determinants. Our first study was a systematic review of peer-reviewed Canadian studies, and the second was a cross-sectional analysis of data from the Canadian Longitudinal Study on Aging (CLSA). The systematic review found lower uptake was associated with non-White ethno-racial identity, less than post-secondary education, and low income. The cross-sectional analysis found lower odds of uptake for younger age, female sex, lower income, partial retirement, no recent contact with a family physician, and fair self-rated general health. We recommend future research on the role of tailored interventions to address disparities in uptake.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".