Institutes of Health Central Plains, Xinxiang Medical University, Xinxiang, China.
Advanced Medical & Dental Institute, Universiti Sains Malaysia, Penang, Malaysia.
Front Public Health. 2024 Sep 4;12:1445766. doi: 10.3389/fpubh.2024.1445766. eCollection 2024.
This study aimed to evaluate the operational efficiency of traditional Chinese medicine (TCM) hospitals in China.
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. tests were conducted to confirm the significant difference of efficiency scores at the hospital level and by hospital type, and ANOVA was used to test for significant differences in efficiency scores according to hospitals' size.
The correlation coefficient of the input and output indicators was between 0.613 and 0.956 ( < 0.05). The difference in number of doctors (ND) and numbers of pharmacists (NP) were statistically significant ( < 0.05) at the hospital level. The mean efficiency scores for technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) in secondary TCM hospitals were 0.766, 0.919, and 0.838, respectively. Additionally, the lowest TE, PTE, and SE were 0.380, 0.426, and 0.380, respectively. Eight TCM hospitals in this study were DEA efficient, with an efficiency score of 1. There were no statistically significant differences in TE, PTE, and SE among hospital levels, hospital types or hospital sizes groups ( > 0.05).
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.
本研究旨在评估中国中医药（TCM）医院的运营效率。
采用 Pearson 分析检验投入和产出变量之间的相关性。利用数据包络分析（DEA）对 16 家 TCM 医院的投入和产出变量进行分析，采用 Deap 2.1 计算每个医院的效率得分，假设规模报酬可变（VRS），为投入导向模型。采用 t 检验确认医院水平和医院类型的效率得分差异显著，并采用方差分析（ANOVA）根据医院规模检验效率得分的显著差异。
投入和产出指标的相关系数在 0.613 到 0.956 之间（<0.05）。医生人数（ND）和药剂师人数（NP）在医院水平上存在统计学差异（<0.05）。二级 TCM 医院的技术效率（TE）、纯技术效率（PTE）和规模效率（SE）的平均效率得分分别为 0.766、0.919 和 0.838。此外，最低的 TE、PTE 和 SE 分别为 0.380、0.426 和 0.380。本研究中有 8 家 TCM 医院是 DEA 有效，效率得分为 1。医院级别、医院类型或医院规模组之间的 TE、PTE 和 SE 无统计学差异（>0.05）。
本研究表明，三级 TCM 医院的效率高于二级 TCM 医院。在我们的研究中，有 50%的 TCM 医院管理效率低下。因此，要激活 TCM 医院的新发展动力，有必要改革和完善 TCM 医院的管理体制和机制，优化 TCM 医院的发展环境，并根据当地情况制定发展规划和措施。
