The effects of catastrophic drug plan deductibles on older women's use of cardiovascular medicines: a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: In recent years, some provinces have implemented income-based catastrophic drug coverage in an effort to provide universal drug coverage while limiting government liability for the escalating costs of medicines needed for an aging population. We sought to examine the effects of income-based deductibles under British Columbia's Fair PharmaCare system on older patients' use of cardiovascular medicines in 2013, 10 years after the province's policy change. METHODS: Using linked administrative databases, we studied rates of hypertension and cholesterol medication used by 2 cohorts of older, married women who had different levels of public drug subsidy based solely on their spouses' ages. We compare measures of 2013 medication use by study cohorts using statistical models that controlled for age, general health status, indicators of need for specific drug classes, ethnicity, rural residence and household income. RESULTS: Among members of our study cohorts, the odds of filling cardiovascular prescriptions in 2013 were influenced by patient age, general health status, drug-specific diagnoses, ethnicity, place of residence and household income. For women with household incomes less than $50 000 (42% of our study population), having preferential public drug coverage by way of spousal age was associated with a 15% increase in the adjusted odds of filling 1 or more prescription for hypertension treatment (adjusted odds ratio [OR] 1.15, 95% confidence interval [CI] 1.06 to 1.24) and a 13% increase in the adjusted odds of filling 1 or more prescription for cholesterol treatments (adjusted OR 1.13, 95% CI 1.06 to 1.21). There were no statistically significant effects on the number of days of therapy purchased per user of these cardiovascular medicines. INTERPRETATION: We have found that the level of income-based deductibles under catastrophic drug benefi t plans can affect the use of cardiovascular drug treatments, even long after deductibles are put in place. These results add to the body of evidence in support of the idea that public drug coverage design can affect access to necessary medications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".