ArticleFrontiers in public health2024
Evaluation of inpatient services of tertiary comprehensive hospitals based on DRG payment.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The impact of DRG payment reform on stroke inpatient costs: a propensity score matching and difference-in-differences analysis of a large public hospital in Northeast China.BMC public health · 2025Article
- Construction and application of a quality evaluation indicator system for intravenous therapy nursing.BMC nursing · 2025Article
- Article
- The Impact of DRG-Based Payment Reform on Inpatient Healthcare Utilization: Evidence from a Natural Experiment in China.Healthcare (Basel, Switzerland) · 2025Article
- Relationship Between Sleep-Related Worry, Work Well-Being, and Retention Intention Among Nurses: A Cross-Sectional Multicenter Study.Journal of nursing management · 2025Article
- DRG payment does not predispose to negative clinical outcomes in general surgery cases: evidence from a tertiary hospital in China.Frontiers in public health · 2025Article
- Application of the case-mix index and length of stay for hospital waste management comparison: introduction of a new adjusted metric.Frontiers in public health · 2025Article
- Evaluation of the effect of DRG payment policy based on interrupted time series modeling: evidence from a tertiary hospital in Anhui Province.Health research policy and systems · 2024Article
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Authors and funding
9 authors.
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Abstract
Objective: This study aims to evaluate inpatient services in 49 tertiary comprehensive hospitals using indicators from the diagnosis related groups (DRG) payment system. Method: DRG data from 49 tertiary comprehensive hospitals were obtained from the quality monitoring platform for provincial hospitals, and relevant indicators were identified. The analytic hierarchy process (AHP) was used to compute the weight of each indicator. The rank sum ratio method was used to calculate the weight rank sum ratio (WRSR) value and the corresponding probit value of each hospital. The hospitals were divided into four grades based on the threshold value: excellent, good, fair, and poor. Results: Eight indicators of the 49 hospitals were scored, and the hospital rankings of indicators varied. The No. 1 hospital ranked first in the indicators of "total number of DRG", "number of groups", and "proportion of relative weights (RW) ≥ 2". The WRSR value of the No.1 hospital was the largest (0.574), and the WRSR value of the No. 44 hospital was the smallest (0.139). The linear regression equation was established: WRSR Conclusion: There were notable variances in the levels of inpatient services among 49 tertiary comprehensive hospitals, and hospitals of the same category also showed different service levels. The evaluation results contribute to the health administrative department and the hospital to optimize the allocation of resources, improve the DRG payment system, and enhance the quality and efficiency of inpatient services.
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