ArticleFrontiers in public health2024
The efficiency evaluation of traditional Chinese medicine hospitals by data envelopment analysis in Zhengzhou, China.
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 5 papers.
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5 citing papers in PubMed.
- Operational efficiency in public infectious disease hospitals across 31 provinces in China: a three-phase data envelopment analysis.BMJ open · 2026Article
- Hospital efficiency assessment: a systematic review of DEA and hybrid DEA-machine learning approaches.Frontiers in medical technology · 2026Review
- Regional disparities, dynamic evolution, and spatial spillover effects of medical resource allocation efficiency in TCM hospitals.Cost effectiveness and resource allocation : C/E · 2025Article
- Evaluating the operational efficiency of the compact urban medical group in Qiqihar based on the three-stage DEA and Malmquist index model.Frontiers in public health · 2025Article
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4 authors.
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Abstract
Aim: This study aimed to evaluate the operational efficiency of traditional Chinese medicine (TCM) hospitals in China. Methods: Pearson's analysis was used to test the correlation between the input and output variables. Data envelopment analysis (DEA) was utilized to analyze the input and output variables of 16 TCM hospitals, and each hospital efficiency score was computed by Deap 2.1, assuming variable return to scale (VRS), which is an input-oriented model. Results: The correlation coefficient of the input and output indicators was between 0.613 and 0.956 ( Conclusion: This study revealed that tertiary TCM hospitals had a greater level of efficiency than secondary TCM hospitals. In our study, 50% of TCM hospitals had inefficient management. Therefore, to activate the new development power of TCM hospitals, it is necessary to reform and improve the management system and mechanism of TCM hospitals, optimize the development environment of TCM hospitals and formulate development plans and measures based on local conditions.
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