Evidence map›Paper›PMID 41437361›Full record

ArticleCost effectiveness and resource allocation : C/E2025

Why will increasing medical insurance reimbursement levels not lead to over-medicalization? Evidence from China's medical insurance payment reform.

Mu Yingtan, Zuo Yaxuan, Hu Qiuming

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mu YingtanSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan, 611130, China.
Zuo YaxuanSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan, 611130, China. zzzzuoyx@163.com.
Hu QiumingSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan, 611130, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of ongoing reforms in medical insurance payment methods, this study utilizes sample data from China employee medical insurance settlements in a provincial capital to examine the impact of adjustments to the pooled hospitalization reimbursement ratio. We use a fuzzy regression-discontinuity design to estimate the local causal effect of changes in the pooled hospitalization reimbursement ratio on total inpatient expenditures and their components.The empirical results reveal three main findings. First, an increased reimbursement ratio optimized the cost structure, leading to a 5% reduction in total per capita medical expenditures. Second, mechanistic analysis indicates that changes in insurance payment standards incentivized patients to prioritize cost-effective services within the insurance catalog and prompted medical institutions to restructure clinical pathways. Third, the higher reimbursement ratio encouraged patients to select higher-quality healthcare resources, thereby reducing the risk of readmission. Heterogeneity analysis further shows that cost reductions were most pronounced in tertiary hospitals and among patients with severe comorbidities, highlighting the allocative efficiency of high-quality medical resources. This study provides evidence of a dose–response relationship in the precise adjustment of medical insurance benefit policies and supports the implementation of differentiated reimbursement strategies, with higher tiers for tertiary hospitals and complex cases to reinforce positive incentives.

Indexed as

Excessive medical treatmentMedical expensesMedical insurance benefit level

Identifiers

PMID41437361
PMCPMC12837720

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.