ArticleCMAJ open
The effects of catastrophic drug plan deductibles on older women's use of cardiovascular medicines: a retrospective cohort study.
Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Patterns, predictors and persistence of chronic sedative use: a population-based observational study of older adults in British Columbia, Canada.European journal of clinical pharmacology · 2017Observational
- The role and impact of cost-sharing mechanisms for prescription drug coverage.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2017Article
Corrections and comments
- Commented on by
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 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.
methodsUsing 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.
resultsAmong 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.
interpretationWe 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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.