Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling

Objectives: Budgetary constraints force healthcare authorities to set priorities for optimal vaccine interventions. A comprehensive decision-making tool would help inform the best combination and sequence of introduction of vaccines within constrained budgets. Methods: Looking at available vaccines...

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Autores principales:	Chun-Yi Lu, Chao Hsiun Tang, Tiffany Fu, Raoh-Fang Pwu, Yu-Fan Ho
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	constrained optimization model pneumococcal disease public health Taiwan vaccine Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/aa5cd50aaccf42bba127c42dc4aa855c
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spelling	oai:doaj.org-article:aa5cd50aaccf42bba127c42dc4aa855c2021-12-04T04:33:21ZPneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling1201-971210.1016/j.ijid.2021.10.058https://doaj.org/article/aa5cd50aaccf42bba127c42dc4aa855c2022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1201971221008511https://doaj.org/toc/1201-9712Objectives: Budgetary constraints force healthcare authorities to set priorities for optimal vaccine interventions. A comprehensive decision-making tool would help inform the best combination and sequence of introduction of vaccines within constrained budgets. Methods: Looking at available vaccines against pneumococcal infections in Taiwan (10/13-valent pneumococcal conjugate vaccines [PCV10, PCV13] and 23-valent pneumococcal polysaccharide vaccine [PPV23]), a constrained optimization (CO) model was used to assess the optimal combination of vaccines in children and older adults that would maximize the quality-adjusted life years under predefined budget constraints. Scenario analyses were carried out to evaluate the impact of vaccine efficacy (VE) on the optimized solution. Results: The CO model demonstrated that the optimal sequence of vaccine introduction was PPV23 in older adults and PCV10 in children. The optimal solution was mostly driven by the potential to reduce disease burden in the older adult population. The VE of PPV23 in older adults and the VE of PCV vaccines against serotype 19A invasive pneumococcal disease had little impact on the optimal solution. Conclusions: The CO approach can be used to set priorities for introducing new vaccines while maximizing health gains per age group within the constrained National Vaccine Fund for the prevention of pneumococcal disease in Taiwan.Chun-Yi LuChao Hsiun TangTiffany FuRaoh-Fang PwuYu-Fan HoElsevierarticleconstrained optimization modelpneumococcal diseasepublic healthTaiwanvaccineInfectious and parasitic diseasesRC109-216ENInternational Journal of Infectious Diseases, Vol 114, Iss , Pp 155-164 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	constrained optimization model pneumococcal disease public health Taiwan vaccine Infectious and parasitic diseases RC109-216
spellingShingle	constrained optimization model pneumococcal disease public health Taiwan vaccine Infectious and parasitic diseases RC109-216 Chun-Yi Lu Chao Hsiun Tang Tiffany Fu Raoh-Fang Pwu Yu-Fan Ho Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling
description	Objectives: Budgetary constraints force healthcare authorities to set priorities for optimal vaccine interventions. A comprehensive decision-making tool would help inform the best combination and sequence of introduction of vaccines within constrained budgets. Methods: Looking at available vaccines against pneumococcal infections in Taiwan (10/13-valent pneumococcal conjugate vaccines [PCV10, PCV13] and 23-valent pneumococcal polysaccharide vaccine [PPV23]), a constrained optimization (CO) model was used to assess the optimal combination of vaccines in children and older adults that would maximize the quality-adjusted life years under predefined budget constraints. Scenario analyses were carried out to evaluate the impact of vaccine efficacy (VE) on the optimized solution. Results: The CO model demonstrated that the optimal sequence of vaccine introduction was PPV23 in older adults and PCV10 in children. The optimal solution was mostly driven by the potential to reduce disease burden in the older adult population. The VE of PPV23 in older adults and the VE of PCV vaccines against serotype 19A invasive pneumococcal disease had little impact on the optimal solution. Conclusions: The CO approach can be used to set priorities for introducing new vaccines while maximizing health gains per age group within the constrained National Vaccine Fund for the prevention of pneumococcal disease in Taiwan.
format	article
author	Chun-Yi Lu Chao Hsiun Tang Tiffany Fu Raoh-Fang Pwu Yu-Fan Ho
author_facet	Chun-Yi Lu Chao Hsiun Tang Tiffany Fu Raoh-Fang Pwu Yu-Fan Ho
author_sort	Chun-Yi Lu
title	Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling
title_short	Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling
title_full	Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling
title_fullStr	Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling
title_full_unstemmed	Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling
title_sort	pneumococcal conjugate vaccines in taiwan: optimizing health gains in children and older adults through constrained optimization modeling
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/aa5cd50aaccf42bba127c42dc4aa855c
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Pneumococcal conjugate vaccines in Taiwan: optimizing health gains in children and older adults through constrained optimization modeling

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