IMPACT OF DIABETES IN FAMILY HEALTH SPENDING IN BRAZILIAN POPULATION
Author(s)
Zaccolo A1, Carraro WH1, Rosa Rd1, Duncan BB1, Prince D2
1Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2University of Washington, Seattle, WA, USA
OBJECTIVES: To estimate the impact of the cost of diabetes mellitus (DM) in Brazil based on the ratio (“R”) of health care expenses of households with at least one person using medication for diabetes to those without diabetes medication use. METHODS: We utilized data from the Family Budget Study (POF – Pesquisa de Orçamentos Familiares), a representative sample of 59.548 households investigated in 2008-2009 by the Brazilian Institute of Geography and Statistics (IBGE). The data were analyzed using Microsoft Excel and R (version 3.0.2). Households were categorized based on the purchase (or no cost receipt) of diabetes medications by family members. Expenses included those for hospitalization, medical consultations, health insurance, drugs and medical supplies. Analyses were conducted for Brazil, for regions and for those with and without health insurance coverage. Results are weighted so as to represent the Brazilian population.
RESULTS: Households with diabetes (6.2% of the total) more frequently (26.3% vs. 8.5%) had members >60 years of age. Expenses increased with increasing household income. Overall, for Brazil, the ratio “R”, adjusted through regression analyses for the age and sex distribution of the family members, household income and regional location, was 1.81 (95%CI 1.69-1.95), indicating that expenses were 81% greater in households where diabetes was present than in those without. The expenses with the purchase of medicines to treat DM increase with increasing income. CONCLUSIONS: Health care expenses are notably greater in Brazilian households having family members with diabetes.
Conference/Value in Health Info
2014-05, ISPOR 2014, Palais des Congres de Montreal
Value in Health, Vol. 17, No. 3 (May 2014)
Code
PDB35
Topic
Economic Evaluation
Topic Subcategory
Cost-comparison, Effectiveness, Utility, Benefit Analysis
Disease
Diabetes/Endocrine/Metabolic Disorders, Multiple Diseases
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