ArticleBMC health services research2020
Study of influential factors of provincial health expenditure -analysis of panel data after the 2009 healthcare reform in China.
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Spatiotemporal Evolution and Drivers of Total Health Expenditure across Mainland China in Recent Years.International journal of environmental research and public health · 2022Article
- Spatial and Temporal Differences in the Health Expenditure Efficiency of China: Reflections Based on the Background of the COVID-19 Pandemic.Frontiers in public health · 2022Article
- Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis.Healthcare (Basel, Switzerland) · 2021Article
- GIS-based approaches on the accessibility of referral hospital using network analysis and the spatial distribution model of the spreading case of COVID-19 in Jakarta, Indonesia.BMC health services research · 2020Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundTotal Healthcare Expenditure (THE) has increased substantially in all countries. Since the health system reform and health policy environment differ from each country, it is necessary to analyze the motivations of THE in a specific country.
methodsThe objective of this study was to analyze the influential factors of Provincial THE (PTHE) per capita in China by using spatiotemporal panel data across 31 provinces (including provinces, autonomous regions, and municipalities, all called provinces in here) from 2009 to 2016 at the provincial and annual level. Generalized Estimating Equation (GEE) was used to identify the influential factors of PTHE per capita.
resultsThe number of beds per 10,000 population explained most of the variation of PTHE per capita. The results also showed that health expenditure in China reacts more to mortality compared with the Gross Domestic Product (GDP) per capita. But mortality and Out-Of-Pocket Payments (OOP) as a percentage of THE were associated with PTHE per capita negatively. The rate of infectious diseases and THE as a percentage of GDP had no statistical significance. And the Proportion of the Population Aged 65 and Over (POP65) impact PTHE per capita positively. But the coefficient was small.
conclusionsIn response to these findings, we conclude that the impact of the increasing percentage of OOP in THE diminishes the PTHE. Furthermore, we find that both the "baseline" health level and health provision are positively correlated with PTHE, which outweighs the effect of GDP.
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