离散选择实验及其在心理健康管理中的应用与展望
Application and Prospects of Discrete Choice Experiments in Mental Health Management
摘要
离散选择实验是基于随机效用最大化理论的偏好测量方法，它通过模拟多属性决策情境，量化个体在健康决策中如何对不同属性间进行权衡。本文系统回顾了该方法在心理健康管理研究中的应用，结果可从相对重要性、支付意愿、异质性分析、情景预测四个方面进行分析，为干预方案的优化与分层推送提供了实践指导。未来应推动该方法与心理学理论的深入融合，揭示偏好背后的心理机制，并将其纳入心理学方法的课程教学体系，拓展实证研究工具。Abstract
Discrete choice experiments (DCEs) are preference elicitation methods grounded in the theory of random utility maximization. By simulating multi-attribute decision-making scenarios, DCEs quantify how individuals make trade-offs between different attributes in health-related choices. This paper systematically reviews applications of DCEs in mental health management. Research outputs are synthesized across four lenses: relative importance, willingness to pay, heterogeneity analysis, and scenario forecasting. The findings offer practical insights for tailoring intervention programs and implementing stratified strategies. Future research should aim to integrate DCEs with psychological theories to better understand the underlying cognitive and affective mechanisms driving preferences. Additionally, incorporating DCEs methodology into psychology curricula could enrich the methodological repertoire available for empirical research in the field. 关键词
离散选择实验/心理健康管理/偏好/决策Key words
discrete choice experiments/mental health management/preferences/ decision-making引用本文复制引用
杨婷婷,吕小康,刘欣,付春野.离散选择实验及其在心理健康管理中的应用与展望[EB/OL].(2025-11-04)[2025-12-07].https://chinaxiv.org/abs/202409.00128.学科分类
医学研究方法/神经病学、精神病学/科学、科学研究
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