Scaling up antivenom for snakebite envenoming in the Brazilian Amazon: a cost-effectiveness analysis

被引:3
|
作者
Zimmerman, Armand [1 ]
Monteiro, Wuelton [2 ,3 ,4 ]
Vissoci, Joao Ricardo Nickenig [1 ,5 ]
Smith, Emily R. [1 ,5 ]
Rocha, Thiago [5 ]
Sachett, Jacqueline [2 ,4 ]
Wen, Fan Hui [6 ]
Staton, Catherine [1 ,5 ]
Gerardo, Charles J. [1 ,5 ]
Ogbuoji, Osondu [1 ,7 ,8 ]
机构
[1] Duke Univ, Duke Global Hlth Inst, Durham, NC USA
[2] Univ Estado Amazonas, Escola Super Ciencias Saude, Manaus, Brazil
[3] Fundacao Med Trop Dr Heitor Vieira Dourado, Diretoria Ensino & Pesquisa, Manaus, Brazil
[4] Univ Fed Santa Catarina, Programa Posgrad Enfermagem, Florianopolis, Brazil
[5] Duke Univ, Dept Emergency Med, Sch Med, Durham, NC USA
[6] Inst Butantan, Sao Paulo, SP, Brazil
[7] Duke Univ, Sch Med, Dept Populat Hlth Sci, Durham, NC USA
[8] 310 Trent Dr, Suite 117, Durham, NC 27710 USA
来源
基金
美国国家卫生研究院;
关键词
Snakebite; Envenoming; Antivenom; Brazil; Amazon; Cost-effectiveness; Economic evaluation; LMIC; HEALTH;
D O I
10.1016/j.lana.2023.100651
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Snakebite envenoming (SBE) affects nearly three million people yearly, causing up to 180,000 deaths and 400,000 cases of permanent disability. Brazil's state of Amazonas is a global hotspot for SBE, with one of the highest annual incidence rates per 100,000 people, worldwide. Despite this burden, snake antivenom remains inaccessible to a large proportion of SBE victims in Amazonas. This study estimates the costs, and health and economic benefits of scaling up antivenom to community health centers (CHCs) and hospitals in the state. Methods We built a decision tree model to simulate three different antivenom scale-up scenarios: (1) scale up to 95% of hospitals, (2) scale up to 95% of CHCs, and (3) scale up to 95% of hospitals and 95% of CHCs. We consider each scenario with and without a 10% increase in demand for antivenom among SBE victims. For each scenario, we model the treatment costs averted, deaths averted, and disability-adjusted life years (DALYs) averted from a societal, health system, and patient perspective relative to the status quo and over a time horizon of one year. For each scenario and perspective, we also calculate the incremental cost per DALY averted and per death averted. We use a willingness to pay threshold equal to the 2022 gross domestic product (GDP) per capita of Brazil. Findings Scaling up antivenom to 95% of hospitals averts up to 2022 DALYs, costs up to USD $460 per DALY averted from a health system perspective, but results in net economic benefits up to USD $4.42 million from a societal perspective. Scaling up antivenom to 95% of CHCs averts up to 3179 DALYs, costs up to USD $308 per DALY averted from a health system perspective, but results in net economic benefits up to USD $7.35 million from a societal perspective. Scaling up antivenom to 95% of hospitals and CHCs averts up to 3922 DALYs, costs up to USD $328 per DALY averted from a health system perspective, but results in net economic benefits up to USD $8.98 million from a societal perspective. Interpretation All three antivenom scale up scenarios - scale up to 95% of hospitals, scale up to 95% of CHCs, and scale up to 95% of hospitals and 95% of CHCs - avert a substantial proportion of the SBE burden in Amazonas and are cost-saving from a societal perspective and cost-effective from a health system perspective. Funding W.M. and J.S. were funded by Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq productivity scholarships). W.M. was funded by Fundacao de Amparo a Pesquisa do Estado do Amazonas (PR & Oacute; ESTADO, call n. 011/2021-PCGP/FAPEAM, call n. 010/2021-CT&I aREAS PRIORITaRIAS, call n. 003/2022- PRODOC/FAPEAM, POSGRAD/FAPEAM) and by the Ministry of Health, Brazil (Proposal No. 733781/19-035). Research reported in this publication was supported by the Fogarty International Center of the National Institutes of Health under Award Number R21TW011944. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Copyright (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:12
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