OBJECTIVE: Model-based cost-effectiveness analysis 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.
METHODS: We compared three static and two dynamic models using a common input parameter set for a hypothetical birth cohort of 100,000 infants. Year-round and seasonal programmes were evaluated for MV and mAb interventions, using available evidence during the study period (e.g., phase 3 MV and phase 2b mAb efficacy).
RESULTS: Three static models estimated comparable medically-attended (MA) cases averted versus no intervention (MV: 1,019-1,073, mAb: 5,075-5,481), with the year-round MV directly saving ~€1 million medical and €0.3 million non-medical costs, while gaining 4-5 discounted Quality-adjusted life years (QALYs) annually in <1 year-olds, and mAb resulting in €4 million medical and €1.5 million non-medical cost savings, and 21-25 discounted QALYs gained. In contrast, both dynamic models estimated fewer MA cases averted (MV: 402-752, mAb: 3,362-4,622); 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.
CONCLUSIONS: Our static and dynamic models produced overall similar hospitalisation 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.
Li X, Hodgson D, Flaig J, Kieffer A, Herring WL, Beyhaghi H, Willem L, Jit M, Bilcke J, Beutels P, REspiratory Syncytial virus Consortium in EUrope (RESCEU) Investigators. Cost-effectiveness of respiratory syncytial virus preventive interventions in children: a model comparison study. Value Health. 2023 Apr;26(4):508-18. doi: 10.1016/j.jval.2022.11.014
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