Economic analysis of antenatal screening for human T-cell lymphotropic virus type 1 in Brazil: an open access cost-utility model.


Journal

The Lancet. Global health
ISSN: 2214-109X
Titre abrégé: Lancet Glob Health
Pays: England
ID NLM: 101613665

Informations de publication

Date de publication:
05 2023
Historique:
received: 03 10 2022
revised: 27 01 2023
accepted: 30 01 2023
medline: 18 4 2023
entrez: 15 4 2023
pubmed: 16 4 2023
Statut: ppublish

Résumé

Human T-cell lymphotropic virus type 1 (HTLV-1) is a retrovirus that causes severe diseases, such as aggressive cancer or progressive neurological disease. HTLV-1 affects mainly people in areas with low human development index and can be transmitted from mother to child, primarily through breastfeeding. Refraining from breastfeeding is an effective intervention to reduce the risk of infection in infants. However, HTLV-1 antenatal screening is not offered globally. According to WHO, the scarcity of cost-effectiveness studies is considered one of the major barriers to the implementation of policies to prevent HTLV-1 infection. Therefore, this study aimed to assess the cost-effectiveness of antenatal screening and postnatal interventions to prevent HTLV-1 mother-to-child transmission in Brazil and to develop an open-access, editable, mathematical model that can be used by other countries and regions to assess different scenarios. In this cost-utility analysis, we constructed a decision tree and a Markov model to assess the cost-effectiveness of HTLV-1 antenatal screening and postnatal interventions (ie, avoidance of breastfeeding, by suppression of lactation with cabergoline, and provision of formula feed) to reduce transmission. For our model, we used data from Brazil and we took the perspective of the public health-care system to estimate costs. The implementation of both screening and interventions would result in the prevention of 1039 infections in infants every year in Brazil with an incremental cost-effectiveness ratio (ICER) of US$11 415 per quality-adjusted life-year (QALY). 88% of all probabilistic sensitivity analysis simulations had ICER values lower than the Brazilian cost-effectiveness threshold ($18 107·74 per QALY). HTLV-1 prevalence in pregnant women, the risk of HTLV-1 transmission when breastfeeding lasts for 6 months or more, and the cost of screening tests were the variables with the largest effect on ICER. HTLV-1 antenatal screening is cost-effective in Brazil. An open-access model was developed, and this tool could be used to assess the cost-effectiveness of such policy globally, favouring the implementation of interventions to prevent HTLV-1 mother-to-child transmission worldwide. None. For the Portuguese and Spanish translations of the abstract see Supplementary Materials section.

Sections du résumé

BACKGROUND
Human T-cell lymphotropic virus type 1 (HTLV-1) is a retrovirus that causes severe diseases, such as aggressive cancer or progressive neurological disease. HTLV-1 affects mainly people in areas with low human development index and can be transmitted from mother to child, primarily through breastfeeding. Refraining from breastfeeding is an effective intervention to reduce the risk of infection in infants. However, HTLV-1 antenatal screening is not offered globally. According to WHO, the scarcity of cost-effectiveness studies is considered one of the major barriers to the implementation of policies to prevent HTLV-1 infection. Therefore, this study aimed to assess the cost-effectiveness of antenatal screening and postnatal interventions to prevent HTLV-1 mother-to-child transmission in Brazil and to develop an open-access, editable, mathematical model that can be used by other countries and regions to assess different scenarios.
METHODS
In this cost-utility analysis, we constructed a decision tree and a Markov model to assess the cost-effectiveness of HTLV-1 antenatal screening and postnatal interventions (ie, avoidance of breastfeeding, by suppression of lactation with cabergoline, and provision of formula feed) to reduce transmission. For our model, we used data from Brazil and we took the perspective of the public health-care system to estimate costs.
FINDINGS
The implementation of both screening and interventions would result in the prevention of 1039 infections in infants every year in Brazil with an incremental cost-effectiveness ratio (ICER) of US$11 415 per quality-adjusted life-year (QALY). 88% of all probabilistic sensitivity analysis simulations had ICER values lower than the Brazilian cost-effectiveness threshold ($18 107·74 per QALY). HTLV-1 prevalence in pregnant women, the risk of HTLV-1 transmission when breastfeeding lasts for 6 months or more, and the cost of screening tests were the variables with the largest effect on ICER.
INTERPRETATION
HTLV-1 antenatal screening is cost-effective in Brazil. An open-access model was developed, and this tool could be used to assess the cost-effectiveness of such policy globally, favouring the implementation of interventions to prevent HTLV-1 mother-to-child transmission worldwide.
FUNDING
None.
TRANSLATIONS
For the Portuguese and Spanish translations of the abstract see Supplementary Materials section.

Identifiants

pubmed: 37061315
pii: S2214-109X(23)00065-7
doi: 10.1016/S2214-109X(23)00065-7
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e781-e790

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests LC reports receipt of funding from AbbVie, Roche, and AstraZeneca for participation in advisory boards, outside of the submitted work. All other authors declare no competing interests.

Auteurs

Carolina Rosadas (C)

Section of Virology, Department of Infectious Disease, Imperial College London, London, UK. Electronic address: c.rosadas-de-oliveira@imperial.ac.uk.

Kátia Senna (K)

Núcleo de Avaliação de Tecnologias em Saúde, Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil.

Milene da Costa (M)

Núcleo de Avaliação de Tecnologias em Saúde, Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil; Faculdade de Farmácia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

Tatiane Assone (T)

Departamento de Dermatologia, Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Jorge Casseb (J)

Departamento de Dermatologia, Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Youko Nukui (Y)

Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Lucy Cook (L)

National Centre for Human Retrovirology, Imperial College Healthcare NHS Trust, London, UK.

Lívia Mariano (L)

Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Bernardo Galvão Castro (B)

Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil.

Maria Fernanda Rios Grassi (MF)

Instituto Gonçalo Muniz, Fundação Oswaldo Cruz, Salvador, Brazil.

Augusto Cesar Penalva de Oliveira (AC)

Instituto de Infectologia Emílio Ribas, São Paulo, Brazil.

Adele Caterino-de-Araujo (A)

Centro de Imunologia, Instituto Adolfo Lutz, São Paulo, Brazil.

Bassit Malik (B)

Centre for Economics of Obesity, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

Ney Boa-Sorte (N)

Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil; Health Technology Assessment Unit, Hospital Universitário Professor Edgar Santos, Universidade Federal da Bahia, Salvador, Brazil.

Paula Peixoto (P)

Faculdade de Medicina Veterinária, Universidade Estácio de Sá, Rio de Janeiro, Brazil.

Marzia Puccioni-Sohler (M)

Departamento de Medicina Geral, Escola de Medicina e Cirurgia, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, Brazil; Programa de Pós-graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

Marisa Santos (M)

Núcleo de Avaliação de Tecnologias em Saúde, Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil.

Graham Philip Taylor (GP)

Section of Virology, Department of Infectious Disease, Imperial College London, London, UK; National Centre for Human Retrovirology, Imperial College Healthcare NHS Trust, London, UK.

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Classifications MeSH