Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17969

Title: Cost-effectiveness of seasonal influenza vaccination in pregnant women, health care workers and persons with underlying illnesses in Belgium
Authors: Blommaert, Adriaan
Bilcke, Joke
Hanquet, Germaine
HENS, Niel
Beutels, Philippe
Issue Date: 2014
Citation: VACCINE, 32 (46), p. 6075-6083
Abstract: Risk groups with increased vulnerability for influenza complications such as pregnant women, persons with underlying illnesses as well as persons who come into contact with them, such as health care workers, are currently given priority (along with other classic target groups) to receive seasonal influenza vaccination in Belgium. We aimed to evaluate this policy from a health care payer perspective by cost-effectiveness analysis in the three specific target groups above, while accounting for effects beyond the target group. Increasing the coverage of influenza vaccination is likely to be cost-effective for pregnant women (median (sic)6589 per quality-adjusted life-year (QALY) gained [(sic)4073-(sic)10,249]) and health care workers (median (sic)24,096/QALY gained [(sic)16,442-(sic)36,342]), if this can be achieved without incurring additional administration costs. Assuming an additional physician's consult is charged to administer each additional vaccine dose, the cost-effectiveness of vaccinating pregnant women depends strongly on the extent of its impact on the neonate's health. For health care workers, the assumed number of preventable secondary infections has a strong influence on the cost-effectiveness. Vaccinating people with underlying illnesses is likely highly cost-effective above 50 years of age and borderline cost-effective for younger persons, depending on relative life expectancy and vaccine efficacy in this risk group compared to the general population. The case-fatality ratios of the target group, of the secondary affected groups and vaccine efficacy are key sources of uncertainty. (C) 2014 Elsevier Ltd. All rights reserved.
Notes: [Blommaert, Adriaan; Bilcke, Joke; Hens, Niel; Beutels, Philippe] Univ Antwerp, Vaccine & Infect Dis Inst VAXINFECTIO, Ctr Hlth Econ Res & Modelling Infect Dis, B-2020 Antwerp, Belgium. [Blommaert, Adriaan; Vandendijck, Yannick; Hens, Niel] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat Bioinfo, Hasselt, Belgium. [Hanquet, Germaine] Belgian Hlth Care Knowledge Ctr KCE, Brussels, Belgium. [Beutels, Philippe] Univ New S Wales, Sch Publ Hlth & Community Med, Sydney, NSW, Australia.
URI: http://hdl.handle.net/1942/17969
DOI: 10.1016/j.vaccine.2014.08.085
ISI #: 000343845300009
ISSN: 0264-410X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
published version730.61 kBAdobe PDF
author version814.98 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.