The European Journal of Public Health Advance Access originally published online on August 19, 2009
The European Journal of Public Health 2009 19(5):516-520; doi:10.1093/eurpub/ckp119
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Infectious Diseases |
Investment decisions in influenza pandemic contingency planning: cost-effectiveness of stockpiling antiviral drugs
Anna K. Lugnér1 and Maarten J. Postma2
1 National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Epidemiology and Surveillance, Bilthoven, the Netherlands
2 Unit of PharmacoEpidemiology & PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, the Netherlands
Correspondence: Anna K. Lugnér, RIVM, CIb/EPI, PO Box 1, NL-3720 BA Bilthoven, the Netherlands, tel: +3130 274 8540, fax: +3130 274 4409, e-mail: anna.lugner{at}rivm.nl
Received June 4, 2009 , accepted July 17, 2009
Background: The threat of an influenza pandemic has led to stockpiling of antiviral drugs in order to mitigate a plausible outbreak. If the stockpile would be used in relation to the recent pandemic alert, an investment decision about renewing the stock for a possible subsequent pandemic is essential. The decision should include cost-effectiveness considerations. Methods: We constructed a cost-effectiveness analysis in the Dutch context, explicitly including risk of an outbreak. Outcomes from a dynamic transmission model, comparing an intervention with a non-intervention scenario, were input in our health economic calculations. Results: Stockpiling was cost-effective from the health-care perspective if the actual risk is 37% for 30 years. If less than 60% of the population would take the antiviral drugs or the attack rate is about 50%, the investment would not be cost-effective from this perspective. Conclusion: Risk perception, realistic coverage among population and size of a pandemic are crucial parameters and highly decisive for the investment decision.
Keywords: cost-effectiveness, dynamic model, infectious diseases, influenza pandemic, mathematical modelling