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Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review

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Abstract

Research about the productivity and efficiency of hospitals in providing healthcare services has developed substantially in the last few decades. How does this topic proceed in Australia, its peer countries and regions who share a similar healthcare system? In this article, we conduct a systematic review and a series of bibliometric analyses of the research about the efficiency of hospitals, which are the core organizations in the the healthcare system, in order to obtain a broad perspective of this topic in Australia and its peers. Among others, a random forests model was trained to evaluate the impact of features of an article on the scientific influence of the research. We used bibliometric data in Scopus from 1970 to 2020 and extracted the review pool by a peer-review process. Besides identifying the productive authors and most cited publication sources, the bibliometric analysis also indicated a shifting of topics over time. Through the training process of the random forests classification model, the most influential features of an article were also identified.

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  • Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uqcepa:155
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    File URL: https://economics.uq.edu.au/files/24760/WP012021.pdf
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    Cited by:

    1. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    2. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.

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    More about this item

    Keywords

    Performance analysis; efficiency; Australia; hospital; systematic review; bibliometric analysis; random forests; machine learning;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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