Conducting discrete choice experiments to inform Healthcare decision making

被引:1165
作者
Lancsar, Emily [1 ,2 ]
Louviere, Jordan [3 ]
机构
[1] Newcastle Univ, Business Sch Econ, Newcastle Upon Tyne NE2 4AA, Tyne & Wear, England
[2] Newcastle Univ, Inst Hlth & Soc, Newcastle Upon Tyne NE2 4AA, Tyne & Wear, England
[3] Univ Technol Sydney, Ctr Study Choice, Sydney, NSW 2007, Australia
关键词
D O I
10.2165/00019053-200826080-00004
中图分类号
F [经济];
学科分类号
02 ;
摘要
Discrete choice experiments (DCEs) are regularly used in health economics to elicit preferences for healthcare products and programmes. There is growing recognition that DCEs can provide more than information on preferences and, in particular, they have the potential to contribute more directly to outcome measurement for use in economic evaluation. Almost uniquely, DCEs could potentially contribute to outcome measurement for use in both cost-benefit and cost-utility analysis. Within this expanding remit, our intention is to provide a resource for current practitioners as well as those considering undertaking a DCE, using DCE results in a policy/commercial context, or reviewing a DCE. We present the fundamental principles and theory underlying DCEs. To aid in undertaking and assessing the quality of DCEs, we discuss the process of carrying out a choice study and have developed a checklist covering conceptualizing the choice process, selecting attributes and levels, experimental design, questionnaire design, pilot testing, sampling and sample size, data collection, coding of data, econometric analysis, validity, interpretation and welfare and policy analysis. In this fast-moving area, a number of issues remain on the research frontier. We therefore outline potentially fruitful areas for future research associated both with DCEs in general, and with health applications specifically, paying attention to how the results of DCEs can be used in economic evaluation. We also discuss emerging research trends. We conclude that if appropriately designed, implemented, analysed and interpreted, DCEs offer several advantages in the health sector, the most important of which is that they provide rich data sources for economic evaluation and decision making, allowing investigation of many types of questions, some of which otherwise would be intractable analytically. Thus, they offer viable alternatives and complements to existing methods of valuation and preference elicitation.
引用
收藏
页码:661 / 677
页数:17
相关论文
共 109 条
[1]   COMBINING REVEALED AND STATED PREFERENCE METHODS FOR VALUING ENVIRONMENTAL AMENITIES [J].
ADAMOWICZ, W ;
LOUVIERE, J ;
WILLIAMS, M .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 1994, 26 (03) :271-292
[2]   Perceptions versus objective measures of environmental quality in combined revealed and stated preference models of environmental valuation [J].
Adamowicz, W ;
Swait, J ;
Boxall, P ;
Louviere, J ;
Williams, M .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 1997, 32 (01) :65-84
[3]  
ADAMOWICZ W, MARKETING L IN PRESS
[4]   QALYS and the integration of claims in health-care rationing [J].
Anand, P .
HEALTH CARE ANALYSIS, 1999, 7 (03) :239-253
[5]  
Anderson N. H., 1981, Foundations of information integration theory
[6]  
BAKER R, 2008, HLTH EC STUD GROUP M
[7]  
BARTELS R, 2006, EMPIR ECON, V31, P639
[8]   Effects coding in discrete choice experiments [J].
Bech, M ;
Gyrd-Hansen, D .
HEALTH ECONOMICS, 2005, 14 (10) :1079-1083
[9]  
Ben-Akiva M., 1985, Discrete choice analysis: theory and application to travel demand
[10]  
Bishop M.M., 1975, DISCRETE MULTIVARIAT