Measuring the efficiency of public hospitals: A multistage data envelopment analysis in Fujian Province, China

ObjectiveThe present study aimed to evaluate the operational efficiency of public hospitals in Fujian Province and the factors responsible for the inefficiency of these hospitals and provide relevant suggestions for health policymakers in allocating service resources.MethodIn the first stage of the...

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Main Authors: Mengya Sun (Author), Yaojun Ye (Author), Guangdi Zhang (Author), Yuan Xue (Author), Xiuling Shang (Author)
Format: Book
Published: Frontiers Media S.A., 2023-03-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Mengya Sun  |e author 
700 1 0 |a Yaojun Ye  |e author 
700 1 0 |a Guangdi Zhang  |e author 
700 1 0 |a Yuan Xue  |e author 
700 1 0 |a Xiuling Shang  |e author 
245 0 0 |a Measuring the efficiency of public hospitals: A multistage data envelopment analysis in Fujian Province, China 
260 |b Frontiers Media S.A.,   |c 2023-03-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2023.1091811 
520 |a ObjectiveThe present study aimed to evaluate the operational efficiency of public hospitals in Fujian Province and the factors responsible for the inefficiency of these hospitals and provide relevant suggestions for health policymakers in allocating service resources.MethodIn the first stage of the research, the variables affecting the efficiency of hospitals were extracted by qualitative and quantitative methods, including literature optimization, gray related analysis and gray clustering evaluation. In the second stage, the data envelopment analysis (DEA) method was used to evaluate the operational efficiency of 49 hospitals of different levels and types selected by sampling in 2020. Finally, a Tobit regression model with introduced institutional factors and background factors was established to study the main influencing factors of hospital inefficiency.ResultsIn the first stage, 10 input variables and 10 output variables necessary from the mangers' point of view were identified to test efficiency. In the second stage, the average comprehensive TE, PTE, and SE of 49 sample hospitals was 0.802, 0.888, and 0.902, respectively. 22.45% of these hospitals met the effective criteria, i.e., the overall effective rate was 22.45%. The low SE value of the hospital was the main reason hindering the improvement of the comprehensive efficiency value. The overall effective rate of secondary public hospitals (30.77%) was higher than that of tertiary public hospitals (19.44%), and the overall effective rate of public specialized hospitals (30%) was higher than that of general public hospitals (18.92%). Based on the third stage results, the bed occupancy rate (BOR) and the proportion of beds (POB) were major factors affecting the operation efficiency of grade III hospitals (p < 0.01). However, the operating efficiency of grade II hospitals was significantly affected by POB and regional per capita GDP(GDPPC) (p < 0.05). Moreover, the impact of BOR and GDPPC was positive, and POB was negatively correlated with hospital operation efficiency.ConclusionsThe study results indicated that the overall operation efficiency of public hospitals in Fujian Province is low. This study revealed that intervention should be strengthened from a policy and management perspective to improve the operation efficiency of public hospitals. 
546 |a EN 
690 |a hospital efficiency 
690 |a gray relational analysis 
690 |a gray clustering 
690 |a data envelopment analysis 
690 |a Tobit regression 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 11 (2023) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1091811/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/fef8be48d62541948b7e335d27f9e06a  |z Connect to this object online.