Do Drug Plans Matter? Effects of Drug Plan Eligibility on Drug Use Among the Elderly, Social Assistance Recipients and the General Population
Bibliographic record
Abstract
The 1984 Canada Health Act does not require that the provinces subsidize prescription drugs. Many provinces do, however, provide categorical coverage to the elderly, social assistance recipients and others, although the generosity of coverage is highly variable. A system of parallel private insurance covers the non-elderly ineligible for social assistance. In this study, we assessed the socio-economic, health and demographic determinants of private drug insurance. We also assessed the effect of inter- provincial variations in drug insurance coverage for the elderly and low income on variations in drug insurance coverage for the elderly and low income on their drug use. In addition, using instrumental variables methods, we considered the effect of prescription drug insurance coverage status on drug use in the non-elderly population ineligible for social assistance. Consistent with the previous literature, we find that for most seniors and non-indigent, drug coverage has only minor effects on drug use. The drug use of social assistance recipients was, however, sensitive to even relatively modest copayments of $0-$6.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".