Evidence map›Paper›PMID 40402973›Full record

ArticlePloS one2025

The impact of diagnosis-related groups on medical costs, service efficiency, and healthcare quality in Meishan, China: An interrupted time series analysis.

Jinyuan Li, Meihua Peng, Shihu Deng, Jingwen Wu, Wangsu Zhou

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

5 authors.

Jinyuan LiCollege of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.ORCID https://orcid.org/0009-0000-9759-7752
Meihua PengCollege of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Shihu DengMeishan Healthcare Security Administration, Meishan, Sichuan Province, China.
Jingwen WuMeishan Healthcare Security Administration, Meishan, Sichuan Province, China.
Wangsu ZhouMeishan Healthcare Security Administration, Meishan, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn January 2019, the Diagnosis-Related Groups (DRG) payment system was introduced in Meishan, China. Using the medical insurance records from 2017 to 2022, we evaluated the impact of the DRG system on medical costs, service efficiency and healthcare quality.

methodsThe sample was divided into three periods: Before DRG reform (2017-2018), the first period of DRG reform (2019-2020), and the second period of DRG reform (2021-2022). We employed an Interrupted Time Series (ITS) model to analyze the monthly changes in total hospital costs, patient cost-sharing, patient sharing ratio, length of stay, and 30-day readmission rate during both periods of DRG reform.

resultsIn the first period of DRG reform, total hospital costs decreased by 1.23% per month (95% CI, 0.88%-1.59%), patient cost-sharing decreased by 1.46% per month (95% CI, 1.09%-1.83%), patient sharing ratio decreased by 0.23% per month (95% CI, 0.06%-0.40%), and length of stay decreased by 0.56% per month (95% CI, 0.27%-0.84%). The monthly change in 30-day readmission rate was not statistically significant (-0.11%, 95% CI, -0.73%-0.50%). In the second period of DRG reform, all monthly changes were not statistically significant.

conclusionsThis study assessed the impact of the DRG payment system on medical costs and service efficiency. The results showed that DRG reduced total hospital costs, patient cost-sharing, patient sharing ratio, and length of stay, but did not significantly affect the rising 30-day readmission rates. Over time, the impact of DRG on cost control and service efficiency stabilized. However, unintended hospital behaviors may have emerged, warranting further investigation. The findings suggest that policymakers should strengthen clinical practice regulation, improve the DRG payment system, and continuously monitor healthcare quality trends.

Indexed as

Diagnosis-Related GroupsHealth Care CostsQuality of Health CareChinaFemaleHospital CostsHumansInterrupted Time Series AnalysisLength of StayMalePatient Readmission

Identifiers

PMID40402973
PMCPMC12097618

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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.