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Published in: International Journal of Public Health 2/2011

Open Access 01-04-2011 | Original Article

A generally applicable cost-effectiveness model for the evaluation of vaccines against cervical cancer

Authors: Nadia Demarteau, Bruno Detournay, Bertrand Tehard, Abdelkader El Hasnaoui, Baudouin Standaert

Published in: International Journal of Public Health | Issue 2/2011

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Abstract

Objective

This study aimed at evaluating the cost-effectiveness of human papillomavirus virus (HPV) vaccination in France, using a generally applicable succinct cohort model.

Methods

A lifetime Markov cohort model, adapted to the French setting, simulate the natural history of oncogenic HPV infection towards cervical cancer (CC). Additional modules account for the effects of screening and vaccination. The girls’ cohort is vaccinated at age 12 and follows current screening. Costs and outcomes (discounted at 3 and 1.5%, respectively) were compared with a cohort receiving screening alone.

Results

The model results agreed well with real-life data. Vaccination in addition to screening would substantially reduce the incidence of and mortality from CC, compared with screening alone, at an estimated cost-effectiveness of €9,706 per quality-adjusted-life-year. Sensitivity analysis showed that the discount rate and the parameters related to the disease history have the largest impact on the results.

Conclusion

This succinct cohort model indicated that HPV vaccination would be a cost-effective policy option in France. It uses readily available data and should be generally applicable to the evaluation of HPV vaccination in a variety of countries and settings.
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Metadata
Title
A generally applicable cost-effectiveness model for the evaluation of vaccines against cervical cancer
Authors
Nadia Demarteau
Bruno Detournay
Bertrand Tehard
Abdelkader El Hasnaoui
Baudouin Standaert
Publication date
01-04-2011
Publisher
SP Birkhäuser Verlag Basel
Published in
International Journal of Public Health / Issue 2/2011
Print ISSN: 1661-8556
Electronic ISSN: 1661-8564
DOI
https://doi.org/10.1007/s00038-010-0216-6

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