Conducting Discrete Choice Experiments to Inform Healthcare Decision Making

背景(考古学) 医疗保健 卫生经济学 卫生行政 数据收集 经济评价 过程(计算) 检查表 计算机科学 环境经济学 管理科学 风险分析(工程) 经济 业务 心理学 统计 操作系统 古生物学 生物 微观经济学 认知心理学 经济增长 数学
作者
Emily Lancsar,Jordan J. Louviere
出处
期刊:PharmacoEconomics [Adis, Springer Healthcare]
卷期号:26 (8): 661-677 被引量:1651
标识
DOI:10.2165/00019053-200826080-00004
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Mindray完成签到,获得积分10
刚刚
3秒前
冷静妙海发布了新的文献求助10
3秒前
cccjjjhhh发布了新的文献求助50
4秒前
丘比特应助阿鹿462采纳,获得10
5秒前
5秒前
5秒前
7秒前
Hello应助gy采纳,获得10
9秒前
10秒前
几一昂发布了新的文献求助10
12秒前
八戒的梦想完成签到,获得积分10
13秒前
研友_VZG7GZ应助ZXR采纳,获得15
13秒前
15秒前
15秒前
16秒前
MiRoRo完成签到 ,获得积分10
17秒前
冉冉完成签到,获得积分10
18秒前
18秒前
Ava应助笛九采纳,获得10
18秒前
19秒前
Criminology34应助Singularity采纳,获得10
19秒前
20秒前
20秒前
YYY完成签到,获得积分10
20秒前
qqqqqqqqqqqq完成签到,获得积分10
22秒前
科研通AI6.3应助雅山采纳,获得10
22秒前
潇洒的惋清应助DUN采纳,获得10
23秒前
迷路的灵波应助smile采纳,获得10
23秒前
等等发布了新的文献求助10
24秒前
24秒前
小满发布了新的文献求助10
25秒前
小二郎应助ZZZ采纳,获得10
26秒前
26秒前
27秒前
英俊的铭应助研友_Ljb0qL采纳,获得10
28秒前
子任完成签到 ,获得积分10
28秒前
28秒前
muzi发布了新的文献求助10
29秒前
30秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7261955
求助须知:如何正确求助?哪些是违规求助? 8883400
关于积分的说明 18773437
捐赠科研通 6941217
什么是DOI,文献DOI怎么找? 3202346
关于科研通互助平台的介绍 2375640
邀请新用户注册赠送积分活动 2178068