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.
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