ArticleBMC health services research2025
Medical service performance evaluation of tertiary general hospitals in Sichuan Province in China based on diagnosis-related groups.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Temporal-spatial analysis and driving factors of coupling coordination between population and health services systems in China, 2010-2022.BMC health services research · 2026Article
- Temporal Patterns in Hospital Performance Indicators in the Chilean Public Hospital System: A Longitudinal Analysis Using Dimensionless Coefficients.Healthcare (Basel, Switzerland) · 2026Article
- Evaluating departmental performance and reimbursement-cost pricing distortions under DRG-based payment: evidence from a tertiary hospital in China.BMC health services research · 2026Article
- Correlation analysis between single disease quality management and efficiency indicators of a tertiary hospital in China.BMC health services research · 2025Article
- Evaluating medical service performance of hospitals in Sichuan Province, China: exploratory factor analysis and hierarchical clustering analysis based on diagnosis-related groups.Frontiers in public health · 2025Article
- Developing a novel evaluation model to assess the performance of base hospitals in China National Stroke Screening Surveys.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
objectiveThis study aims to assess the performance of medical services offered by tertiary general hospitals in Sichuan Province, China, by applying two comprehensive evaluation models. The findings may provide insights for policy-making and future scientific research.
methodsBased on the diagnosis-related groups (DRGs) data, the Principal Component Analysis Modified Rank Sum Ratio (PMRSR) and Principal Component Analysis and Entropy Combined Weighted Technique for Order Preference by Similarity to an Ideal Solution Modified Rank Sum Ratio (CWTMRSR) models were developed to separately assess the medical service performance in 130 tertiary general hospitals in Sichuan Province, China. The results of the two evaluation models were compared with the head-to-tail consistency rate.
resultsThe medical service performance of the 130 tertiary general hospitals was categorized into four groups using the PMRSR and CWTMRSR models. Among them, 86.92% were classified as "plain" and "medium", 6.15% as "poor", and 6.92% as "excellent". The number of hospitals in each group generated by both models was consistent, with 8 "poor" hospitals, 57 "plain" hospitals, 56 "medium" hospitals, and 9 "excellent" hospitals. The "excellent" hospitals identified by the two models were all Grade A tertiary general hospitals. Furthermore, the head-to-tail consistency rate of the two evaluation models was 94.23%, indicating a strong consistency between the two models. Except for the cost efficiency index (CEI) indicator, the "excellent" hospitals demonstrated superior performance on indicators such as the case-mix index (CMI), number of DRGs (ND), total weight (TW), time efficiency index (TEI), mortality of middle and low-risk groups cases (MMLRG), and standardized cases fatality rate (SCFR) compared to the "poor" hospitals.
conclusionsThere are disparities in the performance of medical services offered by tertiary general hospitals in Sichuan Province, China. For hospitals categorized as "poor", there is potential for them to strengthen their management capabilities and medical techniques to retain more suitable patients while increasing their ND, TW, and CMI indicators. Furthermore, it is crucial for them to significantly elevate their quality of care to effectively reduce the MMLRG and SCFR indicators to narrow the gap with the "excellent" hospitals. The combined application of the PMRSR and CWTMRSR models can improve the reliability and stability of the medical service performance evaluation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.