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      Measuring Productivity and Relative Efficiency of Public Tertiary Traditional Chinese Medicine Hospitals in Hubei, China

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          Abstract

          Improving the productivity and relative efficiency of traditional Chinese medicine (TCM) hospitals is pivotal for hospital managers and policymakers to optimize the utilization of TCM resources in China. This study aimed to measure the productivity and relative efficiency of public tertiary TCM hospitals in Hubei Province. The input and output indicators data were extracted from the Health Commission of Hubei Province (HCHP) from 2019 to 2021. The Bootstrap-Malmquist-DEA model was employed to measure the productivity and relative efficiency of the hospitals. The statistical significance was set at P < .05. The numbers of total diagnostic patients and discharged patients declined by 23.44% and 28.34% from 2019 to 2020, and then increased by 25.76% and 20.44% respectively from 2020 to 2021. The average bias-corrected technical efficiency (TE) scores of the TCM hospitals from 2019 to 2021 were 0.8391, 0.8048, and 0.8559, indicating good efficiency. The average total factor productivity (TFP) in 2020 and 2021 decreased compared to that in 2019, with scores of 0.7479 and 0.8996, respectively. Between 2019 and 2020, the TFP changes among 19 out of 21 (90.48%) TCM hospitals and the technological changes (TC) among 20 out of 21 (95.24%) were less than 1.0000 ( P < .05). The TFP changes of 17 out of 21 (80.95%) TCM hospitals and the TC of 20 out of 21 (95.24%) were less than 1.0000 ( P < .05) between 2019 and 2021. COVID-19 might have constrained the provision of healthcare services by the public tertiary TCM hospitals in Hubei Province. Priority should be given to the utilization of healthcare resources, performance evaluation, information system strengthening, and internal hospital management to boost technical efficiency. TCM hospitals need to focus further on technology innovation to improve their technological progress.

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          The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity

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            Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models

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                Author and article information

                Journal
                Inquiry
                Inquiry
                INQ
                spinq
                Inquiry: A Journal of Medical Care Organization, Provision and Financing
                SAGE Publications (Sage CA: Los Angeles, CA )
                0046-9580
                1945-7243
                24 August 2023
                Jan-Dec 2023
                : 60
                : 00469580231190576
                Affiliations
                [1 ]School of Public Health/Global Health Institute, Wuhan University, Wuhan, China
                [2 ]School of Health Sciences, The University of Manchester, Manchester, UK
                [3 ]Department of Orthopaedics Trauma and Microsurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
                Author notes
                [*]Quan Wang, School of Public Health/Global Health Institute, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, China. Email: wangquan73@ 123456whu.edu.cn
                [*]Hao Li, School of Public Health/Global Health Institute, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, China. Email: h.li@ 123456whu.edu.cn
                Author information
                https://orcid.org/0000-0002-5155-4033
                Article
                10.1177_00469580231190576
                10.1177/00469580231190576
                10467214
                37621138
                e20daae6-f8b7-47bc-ac88-78e9a61e4e2b
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 14 March 2023
                : 20 June 2023
                : 11 July 2023
                Funding
                Funded by: health commission of hubei province, FundRef https://doi.org/10.13039/100017958;
                Award ID: 2305010205
                Categories
                Hospital Management in China
                Original Research Article
                Custom metadata
                January-December 2023
                ts1

                traditional chinese medicine hospitals,bootstrap-malmquist-dea model,productivity,relative efficiency,technical efficiency,technological progress

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