OBJECTIVE: To estimate the prevalence and check the factors associated with access to prescribed medicine by the Brazilian adult population; and to describe the distribution of the presence of monetary expenditure for the purchase, source of medicines, and the reasons for non-access. METHODS: Based on a cross-sectional design, from the 2013 National Health Research data, we analyzed a representative sample of the population that comprised adults with prescriptions written by a health professional, in the two weeks prior to the survey. The dependent variable was the access to prescribed medicines (full access, partial access, no access). Data were analyzed using the multinomial logistic regression considering total access as the reference category. RESULTS: The results showed high prevalence of full access to prescribed medicine in Brazil (83.0%; 95%CI 81.3 - 84.6). Most of the individuals had monetary expenditure on the purchase of medicines (63.9%), and the main reasons for no access were the lack of medicine in the public health service (57.6%) and having no money (11.9%). We found higher chances of partial access among individuals attending the public service (OR = 2.5; 95%CI 1.58 - 3.97). Greater chance of no access was associated with non-white skin color (OR = 1.43; 95%CI 1.03 - 1.99). CONCLUSION: The results revealed significant inequity in access to medicine, emphasizing the need to strengthen the Unified Health System for the free supply of medicines in order to reduce inequalities.
OBJECTIVE: To estimate the prevalence and check the factors associated with access to prescribed medicine by the Brazilian adult population; and to describe the distribution of the presence of monetary expenditure for the purchase, source of medicines, and the reasons for non-access. METHODS: Based on a cross-sectional design, from the 2013 National Health Research data, we analyzed a representative sample of the population that comprised adults with prescriptions written by a health professional, in the two weeks prior to the survey. The dependent variable was the access to prescribed medicines (full access, partial access, no access). Data were analyzed using the multinomial logistic regression considering total access as the reference category. RESULTS: The results showed high prevalence of full access to prescribed medicine in Brazil (83.0%; 95%CI 81.3 - 84.6). Most of the individuals had monetary expenditure on the purchase of medicines (63.9%), and the main reasons for no access were the lack of medicine in the public health service (57.6%) and having no money (11.9%). We found higher chances of partial access among individuals attending the public service (OR = 2.5; 95%CI 1.58 - 3.97). Greater chance of no access was associated with non-white skin color (OR = 1.43; 95%CI 1.03 - 1.99). CONCLUSION: The results revealed significant inequity in access to medicine, emphasizing the need to strengthen the Unified Health System for the free supply of medicines in order to reduce inequalities.