Evidence map›Paper›PMID 41973148›Full record

ArticleHealth economics review2026

Residents' preferences for inclusive commercial supplementary medical insurance: a discrete choice experiment.

Yeyi Feng, Gaojie Li, Shumin Wu, Qingran Sun, Xiaoyu Xi, Ennan Wang

Abstract read
In one paragraph

Article in Health economics review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yeyi FengThe Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211198, China.
Gaojie LiThe Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211198, China.
Shumin WuThe Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211198, China.
Qingran SunThe Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211198, China.
Xiaoyu XiThe Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211198, China. xixy@cpu.edu.cn.ORCID http://orcid.org/0000-0003-2144-0067
Ennan WangSchool of Health Policy and Management, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211166, China. wen@njmu.edu.cn.ORCID http://orcid.org/0000-0002-4407-6782

Funding

Ministry of Education of Humanities and Social Science Project 23YJCZH204National Science Foundation of China 72404141
6 · The paper itself

Abstract

backgroundIn China, inclusive commercial supplementary medical insurance (ICSMI) has developed rapidly, and the size of the insured population is critical for its long-term sustainability. To enhance the attractiveness of ICSMI and increase enrolment, it is necessary to improve scheme design based on residents’ choice preferences.

methodsA discrete choice experiment was conducted to elicit residents’ preferences for ICSMI. Seven attributes and their levels were identified through a literature review, analysis of policy clauses of existing ICSMI schemes, and face-to-face interviews. A D-efficient design was used to generate 20 choice sets. A mixed logit model was applied to estimate overall preferences for ICSMI, calculate willingness to pay for different attribute levels, rank the relative importance of attributes, perform heterogeneity analysis and scenario simulation analysis.

resultsAmong the 634 respondents, ICSMI schemes with lower premiums, government participation, broader coverage scope, lower deductibles, higher reimbursement ratios, reimbursement of pre-existing conditions, and one-stop settlement were preferred. Residents attached the greatest importance to the reimbursement ratio. The highest willingness to pay was observed for the coverage scope: respondents were willing to pay CNY 211.301 for the coverage scope from low scope to high scope. Subgroup and interaction analysis based on demographic characteristics showed heterogeneity in preferences for some attributes. Respondents with chronic diseases exhibited stronger preferences for a higher reimbursement ratio and one-stop settlement. When these two items are included in the product plan, their uptake rate will also increase significantly.

conclusionsResidents showed significant preferences for all attributes. This study provides preference evidence directly from the target insured population and offers a reference for optimising the design of ICSMI products.

Indexed as

Discrete choice experimentInclusive commercial supplementary medical insurancePreference

Identifiers

PMID41973148
PMCPMC13196180

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.