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Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China

BACKGROUND: The reform of county-level public hospitals is a breakthrough in the new era of healthcare reform in China and has attracted considerable attention since 2012. Continuous and efficient operations of hospital are primary concerns of this reform. To ensure the effectiveness of county-based...

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Autores principales: Liu, Jing, He, Beibei, Xu, Xiaolan, Zhou, Leming, Li, Jiang, Wang, Gongru, Chen, Yingyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868819/
https://www.ncbi.nlm.nih.gov/pubmed/31752822
http://dx.doi.org/10.1186/s12913-019-4609-9
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author Liu, Jing
He, Beibei
Xu, Xiaolan
Zhou, Leming
Li, Jiang
Wang, Gongru
Chen, Yingyao
author_facet Liu, Jing
He, Beibei
Xu, Xiaolan
Zhou, Leming
Li, Jiang
Wang, Gongru
Chen, Yingyao
author_sort Liu, Jing
collection PubMed
description BACKGROUND: The reform of county-level public hospitals is a breakthrough in the new era of healthcare reform in China and has attracted considerable attention since 2012. Continuous and efficient operations of hospital are primary concerns of this reform. To ensure the effectiveness of county-based intervention reform measures in Chongqing, it is significant to understand how hospital and county characteristics are associated with county-level public hospital efficiency due to significant development differences between counties. This study identifies the trajectory of hospital efficiency over time and determinants. It will also provide preliminary references for advancing reform. METHODS: This study employs data from the Chongqing Regional Health Information Platform, Chongqing Health and Family Planning Statistical Yearbook, and Chongqing Statistical Yearbook for 2012–2016. A three-level growth model is used to estimate the efficiency growth trajectories within the contexts of hospitals and counties. RESULTS: The intra-hospital level factors that affect the initial efficiency include government financial assistance, daily charge per bed, total assets turnover, number of hospital healthcare technicians, and medical costs per 100-yuan medical income. Inter-hospital variance is explained by hospital type. Inter-county level factors affecting the growth rate include the number of healthcare technicians per 1000 people and population density of the county. The interaction effect of the number of hospital healthcare technicians, hospital type, and number of healthcare technicians per 1000 people on hospital efficiency growth is significant. CONCLUSIONS: This study identifies determinants that contribute to efficiency changes in public county-hospitals over time by using a three-level growth model. The differences in efficiency are associated with intra-hospital, inter-hospital, and inter-county characteristics in Chongqing, which provides useful insight into government decision-making and the progress of reform. The stability and reasonable increase in the number of healthcare technicians in a county are the key factors that improve the efficiency. Further reform should focus on maternal and child healthcare hospitals for increasing investment and implementing government compensation.
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spelling pubmed-68688192019-12-12 Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China Liu, Jing He, Beibei Xu, Xiaolan Zhou, Leming Li, Jiang Wang, Gongru Chen, Yingyao BMC Health Serv Res Research Article BACKGROUND: The reform of county-level public hospitals is a breakthrough in the new era of healthcare reform in China and has attracted considerable attention since 2012. Continuous and efficient operations of hospital are primary concerns of this reform. To ensure the effectiveness of county-based intervention reform measures in Chongqing, it is significant to understand how hospital and county characteristics are associated with county-level public hospital efficiency due to significant development differences between counties. This study identifies the trajectory of hospital efficiency over time and determinants. It will also provide preliminary references for advancing reform. METHODS: This study employs data from the Chongqing Regional Health Information Platform, Chongqing Health and Family Planning Statistical Yearbook, and Chongqing Statistical Yearbook for 2012–2016. A three-level growth model is used to estimate the efficiency growth trajectories within the contexts of hospitals and counties. RESULTS: The intra-hospital level factors that affect the initial efficiency include government financial assistance, daily charge per bed, total assets turnover, number of hospital healthcare technicians, and medical costs per 100-yuan medical income. Inter-hospital variance is explained by hospital type. Inter-county level factors affecting the growth rate include the number of healthcare technicians per 1000 people and population density of the county. The interaction effect of the number of hospital healthcare technicians, hospital type, and number of healthcare technicians per 1000 people on hospital efficiency growth is significant. CONCLUSIONS: This study identifies determinants that contribute to efficiency changes in public county-hospitals over time by using a three-level growth model. The differences in efficiency are associated with intra-hospital, inter-hospital, and inter-county characteristics in Chongqing, which provides useful insight into government decision-making and the progress of reform. The stability and reasonable increase in the number of healthcare technicians in a county are the key factors that improve the efficiency. Further reform should focus on maternal and child healthcare hospitals for increasing investment and implementing government compensation. BioMed Central 2019-11-21 /pmc/articles/PMC6868819/ /pubmed/31752822 http://dx.doi.org/10.1186/s12913-019-4609-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Liu, Jing
He, Beibei
Xu, Xiaolan
Zhou, Leming
Li, Jiang
Wang, Gongru
Chen, Yingyao
Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China
title Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China
title_full Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China
title_fullStr Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China
title_full_unstemmed Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China
title_short Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China
title_sort determinants of efficiency growth of county-level public hospitals-evidence from chongqing, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868819/
https://www.ncbi.nlm.nih.gov/pubmed/31752822
http://dx.doi.org/10.1186/s12913-019-4609-9
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