Impact of a Cost‐Sharing Drug Insurance Plan on Drug Utilization Among Older People
Bibliographic record
Abstract
OBJECTIVES: In August 1996, the Régie de l'assurance-maladie du QuEbec (RAMQ), the government body responsible for medical insurance in the Canadian province of Quebec, introduced a cost-sharing drug insurance plan. Before this plan, individuals age 65 years and older had to pay Canadian (CDN)$2 per prescription, with the remaining cost paid by the RAMQ. With the new plan, beneficiaries may have to pay an amount between CDN$200 and CDN$925 per year, depending on their income. Concerned that this financial constraint imposed on older people might have an impact on the use of medications, we investigated whether the consumption of four classes of medications, antihypertensive agents, anticoagulants, nitrates, and benzodiazepines, was affected by the drug plan implementation. DESIGN: Time series models with pre/post comparison group. SETTING: Administrative computerized databases of the RAMQ. PARTICIPANTS: Random sample of Quebec residents age 65 years and older registered in the provincial drug plan between August 1992 and June 1997: 54,771 users of nitrates, 133,146 users of antihypertensive agents, 45,534 users of anti-coagulants, and 26,165 users of benzodiazepines. MEASUREMENTS: We modeled the monthly consumption of the medications under study between August 1992 and June 1996. Monthly drug consumptions predicted from the models were compared with those observed for the 13 months (August 1996 to August 1997) following the implementation of the new drug plan using 95% confidence intervals. The number of prescriptions dispensed served as an indicator for drug consumption. RESULTS: During the study period we observed a nonstatistically significant decrease in number of prescriptions of 5.1% for nitrates, 1.1% for antihypertensive agents, and 0.8% for benzodiazepines, and a nonstatistically significant increase of 1.6% for anticoagulants. CONCLUSION: Residents of Quebec age 65 years and older were not found to have reduced significantly their consumption of nitrates, antihypertensive agents, anticoagulants, and benzodiazepines during the 13 months that followed the implementation of a cost-sharing drug insurance plan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".