• Deirdre Hennessy, Claudia Sanmartin, Paul Ronksley, Rob Weaver, Dave Campbell, Braden Manns, Marcello Tonelli, and Brenda Hemmelgarn.
• Health Analysis Division, Statistics Canada, Ottawa, Ontario.
• Health Rep. 2016 Jun 15; 27 (6): 3-8.

BackgroundApproximately one-third of Canadians' prescription medication costs are paid directly out-of-pocket. This study attempts to determine if out-of-pocket spending greater than 5% of household income on drugs and pharmaceutical products is associated with cost-related prescription non-adherence among people with cardiovascular-related chronic conditions.Data And MethodsThe data are from the survey on Barriers to Care for People with Chronic Health Conditions. Three categories of out-of-pocket spending on drugs and pharmaceutical products as a percentage of household income were identified: 0%, more than 0% to less than 5%, and 5% or more. Log-binomial regression was used to investigate associations between category of out-of-pocket spending and cost-related non-adherence.ResultsIn 2012, about 80% of people aged 40 or older who lived in British Columbia, Alberta, Saskatchewan or Manitoba and had cardiovascular-related chronic conditions reported out-of-pocket spending on drugs and pharmaceutical products; 4.8% reported out-of-pocket spending of at least 5% of their household income. These individuals were significantly older, more often lived in households with incomes less than $30,000, and more often reported multiple morbidities than did people whose out-of-pocket spending on drugs and pharmaceutical products was less than 5% of household income. When the results were adjusted for age and sex, people whose spending amounted to 5% or more of household income were almost three times as likely (prevalence rate ratio = 2.6) to report cost-related prescription non-adherence than were those spending less than 5%.InterpretationSpending at least 5% of household income on drugs and pharmaceutical products was significantly associated with cost-related prescription non-adherence. Additional data are required to determine if even lower levels of spending put individuals at risk of cost related non-adherence.

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