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Interpretation of China's 2017 health expenditure: a latent profile analysis of panel data

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单位: [1]China Med Univ, Sch Nursing, Shenyang, Peoples R China [2]Huazhong Univ Sci & Technol,Tongji Hosp,Dept Nursing,Tongji Med Coll,Wuhan,Peoples R China [3]Shaanxi Univ Chinese Med, Humanity & Management Coll, Xianyang, Peoples R China [4]China Med Univ, Coll Humanities & Social Sci, Shenyang, Peoples R China
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Objective To explore the latent structure of health financing and the institutional distribution of health expenditure (focused on hospital expenditure) in provinces, autonomous regions and municipalities of mainland China, and to examine how these profiles may be related to their externalising and internalising characteristics. Study design The study used panel data harvested from the China National Health Accounts Report 2018. Methods Mainland China's provincial data on health expenditure in 2017 was studied. A latent profile analysis was conducted to identify health financing and hospital health expenditure profiles in China. Additionally, rank-sum tests were used to understand the difference of socioeconomic indicators between subgroups. Results A best-fitting three-profile solution for per capita health financing was identified, with government health expenditure (chi(2)=10.137, p=0.006) and social health expenditure (chi(2)=6.899, p=0.032) varying significantly by profiles. Health expenditure in hospitals was subject to a two-profile solution with health expenditure flow to urban hospitals, county hospitals and community health service centres having significant differences between the two profiles (p<0.001). Conclusions Per capita health financing and health expenditure spent in hospitals have discrepant socioeconomic characteristics in different profiles, which may be attributed to macroeconomic factors and government policies. The study provided new and explicit ideas for health financing and health policy regulation in China.

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出版当年[2019]版:
大类 | 3 区 医学
小类 | 3 区 医学:内科
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 医学:内科
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出版当年[2018]版:
Q2 MEDICINE, GENERAL & INTERNAL
最新[2023]版:
Q1 MEDICINE, GENERAL & INTERNAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者单位: [1]China Med Univ, Sch Nursing, Shenyang, Peoples R China
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