ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2026
Disparities in cost-related prescription nonadherence between Black and White adults in Canada.
Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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
1 citing paper in PubMed.
- Correction to "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
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCost-related prescription nonadherence is a prominent barrier that may affect health outcomes in Black communities in Canada. We aimed to assess the prevalence of cost-related prescription nonadherence among Black adults in Canada and to investigate racial disparities in comparison to White adults, accounting for demographic, socioeconomic, and insurance coverage factors as potential mediators.
methodsWe conducted a cross-sectional study using pooled data from 5 cycles of the Canadian Community Health Survey. The outcome was self-reported cost-related prescription nonadherence. We used a hierarchical framework and applied multivariable Poisson regression to estimate weighted adjusted prevalence ratios (PRs) with 95% confidence intervals (CIs). We used weights provided by Statistics Canada to provide estimates representative of the Canadian population.
resultsRespondents to the survey included 2997 Black and 178 514 White adults; after weighting, the average population size was 16 544 715, 3.6% of whom identified as Black. Among Black adults, the prevalence of cost-related prescription nonadherence declined from 15.3% in 2015 to 9.5% in 2022, compared with a decrease from 6.0% to 5.5% among White adults. Prescription medication coverage among Black adults was 71.6% in 2015 and 72.5% in 2022, compared with 83% and 80% among White adults, respectively. The prevalence of cost-related prescription nonadherence was 75% higher among Black adults than among their White counterparts (average 12.2% v. 5.8%; adjusted PR 1.75, 95% CI 1.43 to 2.14), while prescription medication coverage was less frequent among Black adults. After adjusting for potential mediators, Black cultural or racial background remained associated with cost-related prescription nonadherence (adjusted PR 1.36, 95% CI 1.13 to 1.64). Prescription medication coverage was associated with a lower likelihood of cost-related prescription nonadherence (adjusted PR 0.44, 95% CI 0.41 to 0.46).
interpretationCost-related prescription nonadherence was significantly higher among Black adults in Canada, both before and after adjusting for potential mediators. Addressing disparities in prescription medication coverage and associated barriers is essential to promoting equitable access to health care.
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.