题名 | Does increasing physician volume in primary healthcare facilities under the hierarchical medical system help reduce hospital service utilisation in China? A fixed-effects analysis using province-level panel data |
作者 | |
通讯作者 | Han,Xinxin |
发表日期 | 2023-02-23
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DOI | |
发表期刊 | |
ISSN | 2044-6055
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EISSN | 2044-6055
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卷号 | 13期号:2 |
摘要 | OBJECTIVE: To examine whether increases in physician volume in primary healthcare facilities are associated with reduced utilisation of hospital outpatient and inpatient services after China facilitated the establishment of the hierarchical medical system. DESIGN: We used a two-way fixed-effects regression to examine the association between the annual number of physicians in primary healthcare facilities and that of patient visits per physician, inpatient admissions and total expenses per outpatient visit in public hospitals during 2010-2014 and 2015-2019. Variables were log transformed to ensure the normal distribution of the data. SETTING: Province-level data of all 31 provinces in mainland China from 2010 to 2019 were collected from the China Health Statistics Yearbook published by the China Health Commission. PARTICIPANTS: All 31 provinces in mainland China. PRIMARY AND SECONDARY OUTCOME MEASURES: The annual number of outpatient visits per physician, hospital admission and total expenses per outpatient visit in public hospitals. RESULTS: During 2015-2019, we found that, on average, a 1% increase in the number of primary healthcare physicians was accompanied by a 0.19% (95% CI -0.33% to -0.05%) reduction in the annual number of visits per physician in public hospitals, and a 0.31% (95% CI -0.52% to -0.10%) reduction in patient visits in city-administered hospitals. No significant associations were found between 2010 and 2014. We also did not observe any significant associations between primary healthcare physician volume and hospital admissions or outpatient expenses during neither 2010-2014 and 2015-2019. CONCLUSIONS: In the context of the hierarchical medical system, enhancing physician volume in primary healthcare facilities helps reduce outpatient visits in public hospitals, especially city-administered hospitals. However, more efforts are required to be continuously made to improve primary healthcare capacity to avoid preventable hospital admissions and outpatient expenses. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | Guangdong Basic and Applied Basic Research Foundation[2022A1515011871]
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WOS研究方向 | General & Internal Medicine
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WOS类目 | Medicine, General & Internal
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WOS记录号 | WOS:000944467100047
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出版者 | |
来源库 | Web of Science
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引用统计 |
被引频次[WOS]:1
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/497249 |
专题 | 南方科技大学医学院_公共卫生及应急管理学院 |
作者单位 | 1.Division of Public Policy, Hong Kong University of Science and Technology, Kowloon, Hong Kong 2.Department of Population Health and Health Disparities,University of Texas Medical Branch,Galveston,United States 3.Shenzhen Health Development Research and Data Management Center,Shenzhen,China 4.School of Public Health and Emergency Management,Southern University of Science and Technology,Shenzhen,China 5.Department of Public and International Affairs,City University of Hong Kong,Hong Kong, |
通讯作者单位 | 公共卫生及应急管理学院 |
推荐引用方式 GB/T 7714 |
Li,Xiaotong,Xu,Huiwen,Du,Fang,et al. Does increasing physician volume in primary healthcare facilities under the hierarchical medical system help reduce hospital service utilisation in China? A fixed-effects analysis using province-level panel data[J]. BMJ open,2023,13(2).
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APA |
Li,Xiaotong.,Xu,Huiwen.,Du,Fang.,Zhu,Bin.,Xie,Pei.,...&Han,Xinxin.(2023).Does increasing physician volume in primary healthcare facilities under the hierarchical medical system help reduce hospital service utilisation in China? A fixed-effects analysis using province-level panel data.BMJ open,13(2).
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MLA |
Li,Xiaotong,et al."Does increasing physician volume in primary healthcare facilities under the hierarchical medical system help reduce hospital service utilisation in China? A fixed-effects analysis using province-level panel data".BMJ open 13.2(2023).
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