Analyzing hospital medical efficiency of administration and medical treatment in China

He, Xianhui; Chiu, Yung‐ho; Chang, Tzu‐Han; Lu, Liang-Chun; Chiu, Shih-Yung

doi:10.1002/mde.3327

Cited by 3 publications

(2 citation statements)

References 64 publications

(113 reference statements)

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“…By introducing carryover to connect DMUs of different stages in different periods, this model can evaluate DMUs in different periods. Therefore, many researchers have added dynamic analysis to the multi-stage model (Tone & Tsutsui, 2014;Li et al, 2019;Zhang et al, 2019;Li et al, 2020;He et al, 2021;Feng et al, 2021).…”

Section: The Framework Of Evaluating Efficiency With Ddf-dea Modelmentioning

confidence: 99%

THE EFFICIENCY OF FINANCING AND R&D IN TECHNOLOGY-BASED SMES AND IMPACT OF FINANCIAL REGULATION

Feng

Zhang

Chiu

et al. 2022

Technological and Economic Development of Economy

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Technological innovation is a long-term activity with highly unpredictable returns on investment, which makes SMEs with information problems and lack of collateral value be vulnerable to financing constraints when engaging in innovation activities. This study incorporates financing and R&D activities into the evaluation of innovation efficiency and further considers the impact of financial regulation as an external factor in technology-based SMEs in China. This study puts forward a three-stage dynamic DDF-DEA model to explore the overall innovation efficiency as well as the efficiency of each stage in technology-based SMEs by dividing the innovation process into three stages, namely the financing stage, R&D stage and operating stage. The study reveals that the overall efficiency of innovation are higher in non-coastal areas of China than in coastal areas. Non-coastal regions have higher efficiency in the financing and operating stages, while coastal regions have higher efficiency in the R&D stage. Strengthening financial regulation could improve the financing and R&D efficiency both in coastal and non-coastal areas, but it has different effect on the operating efficiency in coastal and non-coastal areas. The results of this study could provide some reference for China and other emerging economies to formulate policies in improving the efficiency of financing and R&D.

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Section: The Framework Of Evaluating Efficiency With Ddf-dea Modelmentioning

confidence: 99%

THE EFFICIENCY OF FINANCING AND R&D IN TECHNOLOGY-BASED SMES AND IMPACT OF FINANCIAL REGULATION

Feng

Zhang

Chiu

et al. 2022

Technological and Economic Development of Economy

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“…At the macro-level evaluation, impact is traced back to the overall performance of healthcare centers given by means of cross-country and/or cross-sectors comparisons. Essentially, it consists in identifying plausible links between available resources and reported outputs, to help to promote productivity and reduce healthcare costs (e.g., Choi et al, 2017;He et al, 2021). Relevant allied studies focus on the ability of particular healthcare systems to accurately deliver resources to different ranges of population groups (e.g., Bhat, 2005;Kang et al, 2017;Layeb et al, 2020), comparing the technical performances of healthcare provision (e.g., Bannick & Ozcan, 1995;Ersoy et al, 1997;Spinks & Hollingsworth, 2009), identifying best practices in healthcare provision to achieve key objectives such as the reduction of infant mortality (e.g., Retzlaff-Roberts et al, 2004) or the increase of life expectancy of mental patients (e.g., Moran & Jacobs, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid model for a cross‐department efficiency evaluation in healthcare systems

et al. 2021

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This work investigates a new hybrid data envelopment analysis (DEA) and grey relational analysis (GRA) for a macro‐level evaluation of healthcare organizations. Once similar processes and decision‐making units (DMUs) are identified, the DEA is used to extract the efficient DMUs and introduce potential improvements. Then, the identified DMUs and inputs are scanned by the GRA to highlight their preference order and thus retrieve the benchmarked DMUs and the most influencing variables to prioritize. An empirical analysis evolving 63 DMUs across four departments of a Tunisian teaching hospital was conducted to provide useful guidance to policymakers to better allocate available resources.

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The impact of the scale and hierarchical structure of health human resources on the level of medical services-based on China’s four major economic regions

Chen,

Yang,

Zhu

et al. 2024

Int J Equity Health

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Background Ensuring that the scale and hierarchical structure of health human resources are rational, and that medical services are efficient and fair, is an important task of practical significance. On this basis, examining the impact of health human resources on the level of medical services presents a new and formidable challenge. This study aims to delve into how the scale and hierarchical structure of health human resources in China’s four major economic regions affect the fairness and efficiency of medical services, and to identify optimization strategies. Methods This study utilizes provincial panel data from China’s four major economic regions spanning the years 2009 to 2021. Initially, it provides a statistical description of the current state of health human resources and the level of medical services. Subsequently, it employs a fixed-effects model to analyze the impact of the scale and hierarchical structure of health human resources, as well as their interactive effects, on the fairness and efficiency of medical services, and discusses the interactive mechanisms between medical service fairness and medical service efficiency. Furthermore, after conducting a comprehensive evaluation of the level of medical services using the entropy weight method, it explores the regional heterogeneity and temporal dynamics in the influence of the scale and hierarchical structure of health human resources on the level of medical services. Finally, the study examines the scientific validity and rationality of the research findings through various robustness checks, including the substitution of research variables and models. Results The study found that the scale of health human resources has a promoting effect on the equity of medical services (β ≤ 0.643, p ≤ 0.01), but exhibits an inhibitory effect on the efficiency of medical services (β ≥ -0.079, p ≤ 0.1); the hierarchical structure of health human resources shows a positive impact on both the equity and efficiency of medical services (βequity ≤ 0.160, p ≤ 0.01; βefficiency ≤ 0.341, p ≤ 0.05); at the same time, the results indicate that the interactive effect of the scale and hierarchical structure of health human resources promotes equity in medical services (β = 0.067, p ≤ 0.01), but restricts the efficiency of medical services (β ≥ -0.039, p ≤ 0.01); the mechanism by which health human resources affect the level of medical services in China’s western and northeastern regions is more pronounced than in the central and eastern regions; after the implementation of the “Healthy China 2030” Planning Outline, the role of health human resources in the level of medical services has been strengthened; in the robustness tests, the model remains robust after replacing the core explanatory variables, with R2 maintained between 0.869 and 0.972, and the dynamic GMM model test shows a significant second-order lag in the level of medical services (βequity ≤ 0.149, p ≤ 0.01; βefficiency ≤ 0.461, p ≤ 0.01); the channel test results prove that managerial personnel and other technical personnel are key pathways in regulating the impact of medical staff on the level of medical services. Conclusion This study provides an in-depth analysis of the impact of health human resources on the level of medical services, revealing that both the scale and hierarchical structure of health human resources significantly affect the equity and efficiency of medical services. Furthermore, the influence of health human resources on the level of medical services exhibits regional heterogeneity and temporal characteristics. Robustness tests ensure the scientific validity and robustness of the research conclusions. This provides effective references for optimizing the allocation of health human resources and improving the level of medical services.

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Analyzing hospital medical efficiency of administration and medical treatment in China

Cited by 3 publications

References 64 publications

THE EFFICIENCY OF FINANCING AND R&D IN TECHNOLOGY-BASED SMES AND IMPACT OF FINANCIAL REGULATION

THE EFFICIENCY OF FINANCING AND R&D IN TECHNOLOGY-BASED SMES AND IMPACT OF FINANCIAL REGULATION

Hybrid model for a cross‐department efficiency evaluation in healthcare systems

The impact of the scale and hierarchical structure of health human resources on the level of medical services-based on China’s four major economic regions

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