Evidence map›Paper›PMID 40777636›Full record

ArticleFrontiers in public health2025

Evaluating medical service performance of hospitals in Sichuan Province, China: exploratory factor analysis and hierarchical clustering analysis based on diagnosis-related groups.

Xuedong Liu, Jian Cao, Ruyu Ge, Ou Jiang

Abstract read
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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xuedong LiuDepartment of Medical Administration, The First People's Hospital of Neijiang, Neijiang, China.
Jian CaoDepartment of Medical Administration, The First People's Hospital of Neijiang, Neijiang, China.
Ruyu GeDepartment of Medical Administration, The First People's Hospital of Neijiang, Neijiang, China.
Ou JiangDepartment of Medical Administration, The First People's Hospital of Neijiang, Neijiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate hospital medical service performance in Sichuan Province, China. Methods: A total of 306 secondary and tertiary general hospitals were included in the analysis. A comprehensive evaluation model was developed using exploratory factor analysis (EFA) based on diagnosis-related groups (DGR Results: The comprehensive evaluation revealed that all top 10 hospitals were tertiary general hospitals (TGHs), with 40.00% located in the Chengdu region. Conversely, the bottom 10 hospitals were exclusively secondary general hospitals (SGHs), predominantly concentrated in northeastern Sichuan. TGHs were classified into three clusters: "Excellent" (30.83%), "Middle" (57.14%), and "Inferior" (12.03%), while SGHs were categorized as "Excellent" (26.01%), "Middle" (69.94%), and "Inferior" (4.05%). For TGHs, the "Excellent" cluster displayed significantly higher performance in case-mix index (CMI), number of DRG Conclusion: Significant regional and hierarchical disparities in medical service performance were observed across Sichuan Province, with Chengdu region demonstrating optimal performance. For TGHs, hospitals in the "Inferior" cluster are recommended to enhance their medical ability and efficiency compared to those in the "Excellent" cluster. Conversely, hospitals in the "Excellent" cluster should focus on controlling medical costs compared to those in the "Inferior" cluster. For SGHs, hospitals in the "Inferior" cluster should concentrate on improving medical security and ensuring patient safety compared to those in the "Middle" and "Excellent" clusters.

Indexed as

Diagnosis-Related GroupsHospitalsHospitals, GeneralQuality Indicators, Health CareQuality of Health CareChinaCluster AnalysisFactor Analysis, StatisticalHumansDonabedianDRGSexploratory factor analysishierarchical clustering analysishospitalperformance evaluation

Identifiers

PMID40777636
PMCPMC12328387

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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.