Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination

Hall, J; Kenny, P; King, M; Louviere, J; Viney, R; Yeoh, A

Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination

Hall, J

Kenny, P

King, M Louviere, J Viney, R

Yeoh, A

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Publication Type:: Journal Article
Citation:: Health Economics, 2002, 11 (5), pp. 457 - 465
Issue Date:: 2002-07-22

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Field	Value	Language
dc.contributor.author	Hall, J https://orcid.org/0000-0002-2191-0543	en_US
dc.contributor.author	Kenny, P https://orcid.org/0000-0002-5021-4758	en_US
dc.contributor.author	King, M	en_US
dc.contributor.author	Louviere, J	en_US
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635	en_US
dc.contributor.author	Yeoh, A	en_US
dc.date.issued	2002-07-22	en_US
dc.identifier.citation	Health Economics, 2002, 11 (5), pp. 457 - 465	en_US
dc.identifier.issn	1057-9230	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5057
dc.description.abstract	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.	en_US
dc.relation.ispartof	Health Economics	en_US
dc.relation.isbasedon	10.1002/hec.694	en_US
dc.subject.classification	Health Policy & Services	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Chickenpox	en_US
dc.subject.mesh	Chickenpox Vaccine	en_US
dc.subject.mesh	Health Care Surveys	en_US
dc.subject.mesh	Questionnaires	en_US
dc.subject.mesh	Models, Statistical	en_US
dc.subject.mesh	Likelihood Functions	en_US
dc.subject.mesh	Feasibility Studies	en_US
dc.subject.mesh	Health Knowledge, Attitudes, Practice	en_US
dc.subject.mesh	Parents	en_US
dc.subject.mesh	Choice Behavior	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Child	en_US
dc.subject.mesh	Child, Preschool	en_US
dc.subject.mesh	Infant	en_US
dc.subject.mesh	Immunization Programs	en_US
dc.subject.mesh	Cost-Benefit Analysis	en_US
dc.subject.mesh	Financing, Personal	en_US
dc.subject.mesh	Consumer Satisfaction	en_US
dc.subject.mesh	New South Wales	en_US
dc.subject.mesh	Consumer Behavior	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.title	Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	11	en_US
utslib.for	140208 Health Economics	en_US
utslib.for	111799 Public Health and Health Services not elsewhere classified	en_US
utslib.for	1117 Public Health and Health Services	en_US
utslib.for	1402 Applied Economics	en_US
utslib.for	1403 Econometrics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - CENSOC - Study of Choice
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	11	en_US

Abstract:

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/5057