Decoupling of Medical Public–Private Partnership Efficiency and Pollution to Improve Public Health: A Three-Stage DEA Analysis

Chu, Chien-Chi; Zhou, Zhi-Hang; Bin, Sun; Wen, Zhanjie; Ma, Yu-Yang

doi:10.3389/fpubh.2021.711084

Cited by 6 publications

(4 citation statements)

References 70 publications

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“…This disparity indicates a substantial Matthew effect in Chinese MHS efficiency among different provinces, becoming an urgent issue for the sustainable growth of the Chinese medical and health industry. Looking forward, medical and health administrative departments should continue to deeply implement the regional public health coordinated development strategy, continuously promote balanced development between regions, and share high-quality medical and health resources [ 46 , 47 ].…”

Section: Discussionmentioning

confidence: 99%

Dynamic evolution of utilization efficiency of medical and health services in China

Zhang

2024

PLoS ONE

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In order to optimize the Chinese medical and health system and improve people’s health level, the SFA Malmquist model, the spatial econometric model, and the standard deviation ellipse method were used to measure the efficiency of medical and health services in China’s 31 provinces between 2010 and 2020. Study results indicated that the average efficiency value of the 31 provinces generally exceeded 0.8. Specifically, the average efficiency values in the eastern and central regions increased from 0.852 to 0.875 and from 0.858 to 0.88, respectively. In the western and northeastern regions, these values rose from 0.804 to 0.835 and from 0.827 to 0.854, respectively. From the perspective of spatial distribution, there were high-high and low-low clusters in most provinces with significant spatial dependence among them. This analysis reveals that medical and health services efficiency in China demonstrates a spatial pattern extending from northeast to southwest.

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Section: Discussionmentioning

confidence: 99%

Dynamic evolution of utilization efficiency of medical and health services in China

Zhang

2024

PLoS ONE

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“…Existing public health research is conducted around the impact of government-level support on regional imbalances. Although some studies have conducted efficiency comparison studies between public and private hospitals [29,82,83], a cross-country comparison has yet to be made. Second, since few studies analyze efficiency changes over time regarding COVID-19, it is also necessary to compare public health efficiency before and after COVID-19.…”

Section: Discussionmentioning

confidence: 99%

Efficiency Measurement Using Data Envelopment Analysis (DEA) in Public Healthcare: Research Trends from 2017 to 2022

et al. 2023

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With the shifting healthcare environment, the importance of public healthcare systems is being emphasized, and the efficiency of public healthcare systems has become a critical research agenda. We reviewed recent research on the efficiency of public healthcare systems using DEA, which is one of the leading methods for efficiency analysis. Through a systematic review, we investigated research trends in terms of research purposes, specific DEA techniques, input/output factors used for models, etc. Based on the review results, future research directions are suggested. The results of this paper provide valuable information and guidelines for future DEA research on public healthcare systems.

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“…DMUs can be largescale administrative regions or certain organizations, such as provinces, cities, companies, universities, hospitals, etc. Chu C C et al conducted a DEA study, in which East China, South China, North China, Central China, Northeast China, Southwest China and Northwest China regions were taken as DMUs [27]. The production possibility set describes the mapping relationship between the inputs and outputs of DMUs.…”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Assessing Resource Allocation Based on Workload: a Data Envelopment Analysis Study on Clinical Departments in a Class A Tertiary Public Hospital in China

Hao¹,

Liu²,

Zheng

et al. 2023

Preprint

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Objective Today, the development mode of public hospitals in China is turning from expansion to efficiency, and the management mode is turning from extensive to refined. This study aims to evaluate the efficiency of clinical departments in a Chinese class A tertiary public hospital (Hospital M) to analyze the allocation of hospital resources among these departments providing a reference for the hospital management. Methods The hospitalization data of inpatients from 32 clinical departments of Hospital M in 2021 are extracted from HIS, and a dataset containing 38,147 inpatients is got using stratified sampling. Considering the non-homogeneity of clinical departments, the 38,147 patients are clustered using the K-means algorithm based on workload-related indicators including inpatient days, intensive care workload index, nursing workload index, and operation workload index, so that the medical resource consumption of inpatients from non-homogeneous clinical departments can be transformed into the homogeneous workload of medical staff. Taking the numbers of doctors, nurses and beds as input indicators, and the numbers of inpatients assigned to certain clusters as output indicators, an input-oriented BCC model is built named the workload-based DEA model. Meanwhile, a control DEA model with the number of inpatients and medical revenue as output indicators is built, and the outputs of the two models are compared and analyzed. Results The clustering of 38,147 patients into 3 categories is of better interpretability. 14 departments reach DEA efficient in the workload-based DEA model, 10 reach DEA efficient in the control DEA model, and 8 reach DEA efficient in both models. The workload-based DEA model gives a relatively rational judge on the increase of income brought by scale expansion, and evaluates some special departments like Critical Care Medicine Dept., Geriatrics Dept. and Rehabilitation Medicine Dept. more properly, which better adapts to the functional orientation of public hospitals in China. Conclusion The design of evaluating the efficiency of non-homogeneous clinical departments with the workload as output proposed in this study is feasible, and provides a new idea to quantify professional medical human resources, which is of practical significance for public hospitals to optimize the layout of resources, to provide real-time guidance on manpower grouping strategies, and to estimate the expected output reasonably.

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Decoupling of Medical Public–Private Partnership Efficiency and Pollution to Improve Public Health: A Three-Stage DEA Analysis

Cited by 6 publications

References 70 publications

Dynamic evolution of utilization efficiency of medical and health services in China

Dynamic evolution of utilization efficiency of medical and health services in China

Efficiency Measurement Using Data Envelopment Analysis (DEA) in Public Healthcare: Research Trends from 2017 to 2022

Assessing Resource Allocation Based on Workload: a Data Envelopment Analysis Study on Clinical Departments in a Class A Tertiary Public Hospital in China

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