The potential impact of novel tuberculosis vaccines on health equity and financial protection in low-income and middle-income countries.


Journal

BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275

Informations de publication

Date de publication:
07 2023
Historique:
received: 31 03 2023
accepted: 10 06 2023
medline: 14 7 2023
pubmed: 13 7 2023
entrez: 12 7 2023
Statut: ppublish

Résumé

One in two patients developing tuberculosis (TB) in low-income and middle-income countries (LMICs) faces catastrophic household costs. We assessed the potential financial risk protection from introducing novel TB vaccines, and how health and economic benefits would be distributed across income quintiles. We modelled the impact of introducing TB vaccines meeting the World Health Organization preferred product characteristics in 105 LMICs. For each country, we assessed the distribution of health gains, patient costs and household financial vulnerability following introduction of an infant vaccine and separately for an adolescent/adult vaccine, compared with a 'no-new-vaccine' counterfactual. Patient-incurred direct and indirect costs of TB disease exceeding 20% of annual household income were defined as catastrophic. Over 2028-2050, the health gains resulting from vaccine introduction were greatest in lower income quintiles, with the poorest 2 quintiles in each country accounting for 56% of total LMIC TB cases averted. Over this period, the infant vaccine was estimated to avert US$5.9 (95% uncertainty interval: US$5.3-6.5) billion in patient-incurred total costs, and the adolescent/adult vaccine was estimated to avert US$38.9 (US$36.6-41.5) billion. Additionally, 3.7 (3.3-4.1) million fewer households were projected to face catastrophic costs with the infant vaccine and 22.9 (21.4-24.5) million with the adolescent/adult vaccine, with 66% of gains accruing in the poorest 2 income quintiles. Under a range of assumptions, introducing novel TB vaccines would reduce income-based inequalities in the health and household economic outcomes of TB in LMICs.

Identifiants

pubmed: 37438049
pii: bmjgh-2023-012466
doi: 10.1136/bmjgh-2023-012466
pmc: PMC10347450
pii:
doi:

Substances chimiques

Tuberculosis Vaccines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Wellcome Trust
ID : 218261/Z/19/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : CCF17-7779
Pays : United Kingdom
Organisme : Bill & Melinda Gates Foundation
ID : INV-001754
Pays : United States
Organisme : World Health Organization
ID : 001
Pays : International
Organisme : NIAID NIH HHS
ID : R01 AI147321
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom

Informations de copyright

© World Health Organization 2023. Licensee BMJ.

Déclaration de conflit d'intérêts

Competing interests: RAC is funded by BMGF (INV-001754) and received a grant from the Canadian Centennial Scholarship Fund. CKW is funded by UKRI/MRC (MR/N013638/1). RGW is funded by the Wellcome Trust (218261/Z/19/Z), NIH (1R01AI147321-01), EDTCP (RIA208D-2505B), UK MRC (CCF17-7779 via SET Bloomsbury), ESRC (ES/P008011/1), BMGF (OPP1084276, OPP1135288 and INV-001754) and the WHO (2020/985800-0). Members of the funder participated as authors on the study. All other authors declare no conflicts of interest.

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Auteurs

Allison Portnoy (A)

Department of Global Health, Boston University School of Public Health, Boston, MA, USA aportnoy@bu.edu.
Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Rebecca A Clark (RA)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
TB Modelling Group, London School of Hygiene & Tropical Medicine, London, UK.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropica Medicine, London, UK.

Chathika K Weerasuriya (CK)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
TB Modelling Group, London School of Hygiene & Tropical Medicine, London, UK.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropica Medicine, London, UK.

Christinah Mukandavire (C)

Coalition for Epidemic Preparedness Innovations, London, UK.

Matthew Quaife (M)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
TB Modelling Group, London School of Hygiene & Tropical Medicine, London, UK.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropica Medicine, London, UK.

Roel Bakker (R)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
TB Modelling Group, London School of Hygiene & Tropical Medicine, London, UK.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropica Medicine, London, UK.
KNCV Tuberculosis Foundation, Den Haag, The Netherlands.

Inés Garcia Baena (I)

Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland.

Nebiat Gebreselassie (N)

Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland.

Matteo Zignol (M)

Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland.

Mark Jit (M)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropica Medicine, London, UK.
School of Public Health, The University of Hong Kong, Hong Kong SAR, People's Republic of China.

Richard G White (RG)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
TB Modelling Group, London School of Hygiene & Tropical Medicine, London, UK.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropica Medicine, London, UK.

Nicolas A Menzies (NA)

Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

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