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Diabetes care guided by quality indicators: a cost-effectiveness analysis in the Brazilian public health system
Yasmin Vitória Andrade de Castro Alves1, Márcio Galvão de Oliveira1, Leonardo Régis Leira Pereira2
1Multidisciplinary Institute of Health, University of Bahia (Post-graduate Program in Pharmaceutical Services and Policies), Vitória da Conquista, Bahia, 45029-094, Brazil.
Background:
Diabetes mellitus (DM) is one of the most common non-communicable diseases worldwide and is associated with a substantial increase in the healthcare burden due to high rates of morbidity, mortality, and long-term complications. Evidence on the economic impact of quality of care for diabetes management based on structured assessment indicators in real-world primary care settings is scarce. This study aimed to evaluate the cost-effectiveness of providing qualified care to individuals with diabetes in primary healthcare settings based on quality-of-care indicators.
Methods:
A cost-effectiveness analysis was conducted using a Markov based model from the perspective of a municipal health manager in Brazil. Data were collected from 114 patients aged 60 years or older with type 2 diabetes mellitus in Vitória da Conquista. Patients were grouped based on whether 15 or more structured quality-of-care indicators were assessed during follow-up visits. The model simulated health state transitions over a 10-year time horizon, incorporating probabilities of complications, quality-adjusted life years, and direct costs. Sensitivity and probabilistic analyses were performed to test model robustness.
Results:
Data mining techniques were used to identify a stronger association between the assessed items and a lower probability of having complications. It was found that in the group with 15 or more items assessed during visits, 17.4% had complications, and in the group with fewer than 15 items assessed during visits, this percentage was 37.14%. Therefore, these groups were used as comparators in the economic model. The cost-effectiveness analysis showed that the most comprehensive assessment was the dominant strategy, with an incremental cost-effectiveness ratio of -US$9742.51. The factors that most influenced the model were quality-adjusted life years, the probability of experiencing complications, and the cost of diabetes.
Conclusion:
Qualified care with a comprehensive approach during follow-up visits was shown to be a cost-effective strategy for improving the quality of life for people with DM.
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