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Exploring the social value of health-care interventions: a stated preference discrete choice experiment

Exploring the social value of health-care interventions: a stated preference discrete choice experiment
Exploring the social value of health-care interventions: a stated preference discrete choice experiment
Much of the literature on distributive preferences covers specific considerations in isolation, and recent reviews have suggested that research is required to inform on the relative importance of various key considerations. Responding to this research recommendation, we explore the distributive preferences of the general public using a set of generic social value judgments. We report on a discrete choice experiment (DCE) survey, using face-to-face interviews, in a sample of the general population (n=259).

The context for the survey was resource allocation decisions in the UK National Health Service, using the process of health technology appraisal as an example. The attributes used covered health improvement, value for money, severity of health, and availability of other treatments, and it is the first such survey to use cost-effectiveness in scenarios described to the general public. Results support the feasibility and acceptability of the DCE approach for the elicitation of public preferences.

Choice data are used to consider the relative importance of changes across attribute levels, and to model utility scores and relative probabilities for the full set of combinations of attributes and levels in the experimental design used (n=64). Results allow the relative social value of health technology scenarios to be explored. Findings add to a sparse literature on social preferences, and show that DCE data can be used to consider the strength of preference over alternative scenarios in a priority-setting context.
priority setting, discrete choice experiments, public preference, methodology
1099-1050
951-976
Green, Colin
c57c8e95-7870-4fb1-b3b1-6a2c7442cb30
Gerard, Karen
1aef0321-add2-425f-8cd6-48f1adeef928
Green, Colin
c57c8e95-7870-4fb1-b3b1-6a2c7442cb30
Gerard, Karen
1aef0321-add2-425f-8cd6-48f1adeef928

Green, Colin and Gerard, Karen (2008) Exploring the social value of health-care interventions: a stated preference discrete choice experiment. Health Economics, 18 (8), 951-976. (doi:10.1002/hec.1414).

Record type: Article

Abstract

Much of the literature on distributive preferences covers specific considerations in isolation, and recent reviews have suggested that research is required to inform on the relative importance of various key considerations. Responding to this research recommendation, we explore the distributive preferences of the general public using a set of generic social value judgments. We report on a discrete choice experiment (DCE) survey, using face-to-face interviews, in a sample of the general population (n=259).

The context for the survey was resource allocation decisions in the UK National Health Service, using the process of health technology appraisal as an example. The attributes used covered health improvement, value for money, severity of health, and availability of other treatments, and it is the first such survey to use cost-effectiveness in scenarios described to the general public. Results support the feasibility and acceptability of the DCE approach for the elicitation of public preferences.

Choice data are used to consider the relative importance of changes across attribute levels, and to model utility scores and relative probabilities for the full set of combinations of attributes and levels in the experimental design used (n=64). Results allow the relative social value of health technology scenarios to be explored. Findings add to a sparse literature on social preferences, and show that DCE data can be used to consider the strength of preference over alternative scenarios in a priority-setting context.

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More information

Published date: 25 November 2008
Keywords: priority setting, discrete choice experiments, public preference, methodology
Organisations: Health Sciences

Identifiers

Local EPrints ID: 154893
URI: https://eprints.soton.ac.uk/id/eprint/154893
ISSN: 1099-1050
PURE UUID: 721d8914-6d77-45da-bc01-0dae96349396

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Date deposited: 26 May 2010 11:28
Last modified: 16 Jul 2019 23:58

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