Cost-Effectiveness of Respiratory Syncytial Virus Preventive Interventions in Children: A Model Comparison Study.


Journal

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
ISSN: 1524-4733
Titre abrégé: Value Health
Pays: United States
ID NLM: 100883818

Informations de publication

Date de publication:
04 2023
Historique:
received: 22 08 2022
revised: 02 11 2022
accepted: 16 11 2022
medline: 4 4 2023
pubmed: 29 11 2022
entrez: 28 11 2022
Statut: ppublish

Résumé

Model-based cost-effectiveness analyses on maternal vaccine (MV) and monoclonal antibody (mAb) interventions against respiratory syncytial virus (RSV) use context-specific data and produce varied results. Through model comparison, we aim to characterize RSV cost-effectiveness models and examine drivers for their outputs. We compared 3 static and 2 dynamic models using a common input parameter set for a hypothetical birth cohort of 100 000 infants. Year-round and seasonal programs were evaluated for MV and mAb interventions, using available evidence during the study period (eg, phase III MV and phase IIb mAb efficacy). Three static models estimated comparable medically attended (MA) cases averted versus no intervention (MV, 1019-1073; mAb, 5075-5487), with the year-round MV directly saving ∼€1 million medical and €0.3 million nonmedical costs, while gaining 4 to 5 discounted quality-adjusted life years (QALYs) annually in <1-year-olds, and mAb resulting in €4 million medical and €1.5 million nonmedical cost savings, and 21 to 25 discounted QALYs gained. In contrast, both dynamic models estimated fewer MA cases averted (MV, 402-752; mAb, 3362-4622); one showed an age shift of RSV cases, whereas the other one reported many non-MA symptomatic cases averted, especially by MV (2014). These differences can be explained by model types, assumptions on non-MA burden, and interventions' effectiveness over time. Our static and dynamic models produced overall similar hospitalization and death estimates, but also important differences, especially in non-MA cases averted. Despite the small QALY decrement per non-MA case, their larger number makes them influential for the costs per QALY gained of RSV interventions.

Identifiants

pubmed: 36442831
pii: S1098-3015(22)04746-5
doi: 10.1016/j.jval.2022.11.014
pii:
doi:

Substances chimiques

Antibodies, Monoclonal 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

508-518

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Xiao Li (X)

Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium. Electronic address: xiao.li@uantwerpen.be.

David Hodgson (D)

Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, England, UK.

Julien Flaig (J)

Epidemiology and Modeling of Infectious Diseases (EPIMOD), Lyon, France.

Alexia Kieffer (A)

Health Economics and Value Assessment, Sanofi, Lyon, France.

William L Herring (WL)

RTI Health Solutions, Research Triangle Park, NC, USA; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Hadi Beyhaghi (H)

Novavax, Inc, Gaithersburg, MD, USA.

Lander Willem (L)

Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.

Mark Jit (M)

Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, England, UK.

Joke Bilcke (J)

Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.

Philippe Beutels (P)

Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.

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