Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination
Applications of stated preference discrete choice modelling (SPDCM) in health economics have been used to estimate consumer willingness to pay and to broaden the range of consequences considered in economic evaluation. This paper demonstrates how SPDCM can be used to predict participation rates, using the case of varicella (chickenpox) vaccination. Varicella vaccination may be cost effective compared to other public health programs, but this conclusion is sensitive to the proportion of the target population immunised. A choice experiment was conducted on a sample of Australian parents to predict uptake across a range of hypothetical programs. Immunisation rates would be increased by providing immunisation at no cost, by requiring it for school entry, by increasing immunisation rates in the community and decreasing the incidence of mild and severe side effects. There were two significant interactions; price modified the effect of both support from authorities and severe side effects. Country of birth was the only significant demographic characteristic. Depending on aspects of the immunisation program, the immunisation rates of children with Australian-born parents varied from 9% to 99% while for the children with parents born outside Australia they varied from 40% to 99%. This demonstrates how SPDCM can be used to understand the levels of attributes that will induce a change in the decision to immunise, the modification of the effect of one attribute by another, and subgroups in the population. Such insights can contribute to the optimal design and targeting of health programs. Copyright © 2002 John Wiley & Sons, Ltd.
Volume (Year): 11 (2002)
Issue (Month): 5 ()
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- Mandy Ryan & Jenny Hughes, 1997. "Using Conjoint Analysis to Assess Women's Preferences for Miscarriage Management," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 261-273.
- Stirling Bryan & Lisa Gold & Rob Sheldon & Martin Buxton, 2000. "Preference measurement using conjoint methods: an empirical investigation of reliability," Health Economics, John Wiley & Sons, Ltd., vol. 9(5), pages 385-395.
- Scuffham, P. & Devlin, N. & Eberhart-Phillips, J. & Wilson-Salt, R., 1999. "The cost-effectiveness of introducing a varicella vaccine to the New Zealand immunisation schedule," Social Science & Medicine, Elsevier, vol. 49(6), pages 763-779, September.
- Patricia Kenny & Jane Hall & Rosalie Viney & Angela Yeoh & Marion Haas, 2002. "Using qualitative methods to validate a stated preference survey for evaluating health services, CHERE Discussion Paper No 47," Discussion Papers 47, CHERE, University of Technology, Sydney.
- Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
- Stirling Bryan & Martin Buxton & Robert Sheldon & Alison Grant, 1998. "Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences," Health Economics, John Wiley & Sons, Ltd., vol. 7(7), pages 595-603.
- Streefland, Pieter & Chowdhury, A. M. R. & Ramos-Jimenez, Pilar, 1999. "Patterns of vaccination acceptance," Social Science & Medicine, Elsevier, vol. 49(12), pages 1705-1716, December.
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