4.1 Article

Estimating direct costs of the treatment for mucosal leishmaniasis in Brazil

出版社

SOC BRASILEIRA MEDICINA TROPICAL
DOI: 10.1590/0037-8682-0454-2020

关键词

Mucocutaneous leishmaniasis; Cost analysis; Drug therapy; Meglumine antimoniate; Liposomal amphotericin B; Miltefosine

资金

  1. National Counsel of Technological and Scientific Development (CNPq) [301384/2019, 420737/2017-0]
  2. Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG) [2719024/2018]

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This study estimated the direct medical costs of treating mucosal leishmaniasis (ML) in Brazil using three therapeutic approaches. Results showed marked cost differences among the treatment alternatives, with drugs accounting for over 60% of total costs. The data have the potential to support future cost-effectiveness studies and assist health managers in choosing effective public health policies for ML treatment in Brazil.
Introduction: The objective of this study was to estimate the direct medical costs of the treatment for mucosal leishmaniasis (ML) using three therapeutic approaches in the Brazilian context. Methods: We performed this economic assessment from the perspective of the Brazilian public healthcare system. The following therapeutic approaches were evaluated: meglumine antimoniate, liposomal amphotericin B, and miltefosine. Direct medical costs were estimated considering four treatment components: a) drug, b) combined medical products, c) procedures, and d) complementary tests. Results: Treatment with meglumine antimoniate had the lowest average cost per patient (US$ 167.66), followed by miltefosine (US$ 259.92) in the outpatient treatment regimen. The average cost of treatment with liposomal amphotericin B was US$ 715.35 both in inpatient regimen. In all estimates. the drugs accounted for more than 60% of the total cost for each treatment approach. Conclusions: These results demonstrate the marked differences in costs between the therapeutic alternatives for ML. In addition to efficacy rates and costs related to adverse events, our data have the potential to support a complete cost-effectiveness study in the future. Complete analyses comparing costs and benefits for interventions will assist health managers in choosing drugs for ML treatment in Brazil as well as in establishing effective public health policies.

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