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


Journal

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
ISSN: 1878-3511
Titre abrégé: Int J Infect Dis
Pays: Canada
ID NLM: 9610933

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 06 09 2021
revised: 27 10 2021
accepted: 30 10 2021
pubmed: 9 11 2021
medline: 5 1 2022
entrez: 8 11 2021
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 34749009
pii: S1201-9712(21)00851-1
doi: 10.1016/j.ijid.2021.10.058
pii:
doi:

Substances chimiques

Pneumococcal Vaccines 0
Vaccines, Conjugate 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

155-164

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2021 GlaxoSmithKline Biologicals S.A. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest CYL received consultation fees from the Taiwan Society for Pharmacoeconomics and Outcome Research. TF and YFH are employees of the GSK group of companies, and YFH hold shares in the GSK group of companies. CHT and RFP report no conflicts of interest (financial or non-financial). CYL, TF, and YFH have no non-financial conflicts of interest to declare.

Auteurs

Chun-Yi Lu (CY)

National Taiwan University, No. 1, Section 4, Roosevelt Rd, Da'an District, Taipei City, Taïwan 10617. Electronic address: cylu@ntu.edu.tw.

Chao Hsiun Tang (CH)

Taipei Medical University, No. 250, Wuxing St, Xinyi District, Taipei City, Taïwan 110. Electronic address: chtang@tmu.edu.tw.

Tiffany Fu (T)

GSK, Rochester Park 23, 139234 Singapore, Singapore. Electronic address: tiffany.x.fu@gsk.com.

Raoh-Fang Pwu (RF)

Taipei Medical University, No. 250, Wuxing St, Xinyi District, Taipei City, Taïwan 110. Electronic address: jasminepwu@gmail.com.

Yu-Fan Ho (YF)

GSK, Rochester Park 23, 139234 Singapore, Singapore. Electronic address: willy.y.ho@gsk.com.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH