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Title: | Identification of an Optimal COVID-19 Booster Allocation Strategy to Minimize Hospital Bed-Days with a Fixed Healthcare Budget | Authors: | Kapoor, R STANDAERT, Baudouin Pezalla, EJ Demarteau, N Sutton, K Tichy, E Bungey, G Arnetorp, S Bergenheim, K Darroch-Thompson, D Meeraus, W Okumura, LM Yokota, RTD Gani, R Nolan, T |
Issue Date: | 2023 | Source: | Vaccines (Basel), 11 (2) (Art N° 377) | Abstract: | Healthcare decision-makers face difficult decisions regarding COVID-19 booster selection given limited budgets and the need to maximize healthcare gain. A constrained optimization (CO) model was developed to identify booster allocation strategies that minimize bed-days by varying the proportion of the eligible population receiving different boosters, stratified by age, and given limited healthcare expenditure. Three booster options were included: B1, costing US $1 per dose, B2, costing US $2, and no booster (NB), costing US $0. B1 and B2 were assumed to be 55%/75% effective against mild/moderate COVID-19, respectively, and 90% effective against severe/critical COVID-19. Healthcare expenditure was limited to US$2.10 per person; the minimum expected expense using B1, B2, or NB for all. Brazil was the base-case country. The model demonstrated that B1 for those aged <70 years and B2 for those ≥70 years were optimal for minimizing bed-days. Compared with NB, bed-days were reduced by 75%, hospital admissions by 68%, and intensive care unit admissions by 90%. Total costs were reduced by 60% with medical resource use reduced by 81%. This illustrates that the CO model can be used by healthcare decision-makers to implement vaccine booster allocation strategies that provide the best healthcare outcomes in a broad range of contexts. | Keywords: | COVID-19 vaccination;booster;constrained optimization model;budget constraint;booster allocation;budget and healthcare resources | Document URI: | http://hdl.handle.net/1942/43188 | ISSN: | 2076-393X | e-ISSN: | 2076-393X | DOI: | 10.3390/vaccines11020377 | ISI #: | 000942046800001 | Rights: | 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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Identification of an Optimal COVID-19 Booster Allocation Strategy to Minimize Hospital Bed-Days with a Fixed Healthcare Budget.pdf | Published version | 1.64 MB | Adobe PDF | View/Open |
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