ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2024
Predictors of cost-related medication nonadherence in Canada: a repeated cross-sectional analysis of the Canadian Community Health Survey.
Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Universal Free Contraception Coverage Policy, Out-of-Pocket Payments, and Costs.JAMA health forum · 2026Article
- Disparities in cost-related prescription nonadherence between Black and White adults in Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026Article
- Effect of universal no-cost coverage on use of long-acting reversible contraception and all prescription contraception: population based, controlled, interrupted time series analysis.BMJ (Clinical research ed.) · 2025Article
- Article
- The first, fragile foundations of national pharmacare in Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn Canada, many patients face substantial out-of-pocket costs for prescription medication, which may affect their ability to take their medications as prescribed. We sought to conduct a comprehensive analysis of the burden and predictors of cost-related nonadherence in Canada.
methodsUsing pooled data from the 2015, 2016, 2018, 2019, and 2020 iterations of the Canadian Community Health Survey, we calculated weighted population estimates of the burden of cost-related nonadherence in the preceding 12 months and used logistic regression models to measure the association of 15 demographic, health, and health system predictors of cost-related nonadherence overall and stratified by sex.
resultsWe included 223 085 respondents. We found that 4.9% of respondents aged 12 years or older reported cost-related nonadherence. Those who self-identified as female, belonging to a racial or ethnic minority group, or bisexual, pansexual, or questioning were more likely to report cost-related nonadherence. Younger age, higher disease burden, poorer health, non-employer prescription drug coverage, and not living in the province of Quebec were associated with cost-related nonadherence.
interpretationOur nationally representative findings reveal inequities that disproportionally affect marginalized people at the intersections of sex, race, age, and disability, and vary by province. This foundational understanding of the state of cost-related nonadherence may be used to inform potential expansion of public drug coverage eligibility, premiums, and cost-sharing policies that address financial barriers to medication adherence.
Indexed as
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.