ArticleFrontiers in public health2022
Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010-2019.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Determinants of COVID-19 prevalence in Central Java, Indonesia: An ecological study of socio-demographic, environmental, and healthcare factors.Dialogues in health · 2026Article
- Regional Disparities and Associated Factors Underlying CDC Health Professional Distribution in China.Healthcare (Basel, Switzerland) · 2026Article
- Spatial disparities and dynamic evolution of health human resources in primary healthcare institutions in China: a study from the perspective of aggregation degree.BMC health services research · 2026Article
- Improving Equitable Access to Antenatal Care in China: Challenges and Potential Innovative Approaches.China CDC weekly · 2026Article
- Equity in the allocation of professional public health human resources and its improvement path in China.BMC health services research · 2026Article
- Comprehensive evaluation of preventive medicine talent in Chinese medical vocational colleges based on the entropy weight method.Frontiers in medicine · 2026Article
- Spatial econometric analysis of health workforce distribution and its influencing factors in Inner Mongolia, China.PloS one · 2026Article
- Determinants of equitable public health human resource allocation in China: a multidimensional analysis using RIF-I-OLS decomposition.Human resources for health · 2025Article
- Spatiotemporal dynamics and driving factors of human resources for health in traditional Chinese medicine in China.Scientific reports · 2025Article
- Equity and efficiency of public health resource allocation in China.BMC public health · 2025Article
- Spatial-temporal distribution and evolution of medical and health talents in China.BMC public health · 2025Article
- Spatial distribution patterns of human resources allocation in maternal and child healthcare institutions in China from 2016 to 2021.BMC health services research · 2024Article
- Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.BMC public health · 2024Article
- Spatial distribution and influencing factors of CDC health resources in China: a study based on panel data from 2016-2021.Frontiers in public health · 2024Article
- Trends of Incidence, Mortality, and Risk Factors for Lower Respiratory Infections among Children under 5 Years in China from 2000 to 2019.International journal of environmental research and public health · 2023Article
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6 authors.
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Abstract
Background: The maldistributions of the health workforce showed great inconsistency when singly measured by population quantity or geographic area in China. Meanwhile, earlier studies mainly employed traditional econometric approaches to investigate determinants for the health workforce, which ignored spillover effects of influential factors on neighboring regions. Therefore, we aimed to analyze health workforce allocation in China from demographic and geographic perspectives simultaneously and then explore the spatial pattern and determinants for health workforce allocation taking account of the spillover effect. Methods: The health resource density index (HRDI) equals the geometric mean of health resources per 1,000 persons and per square kilometer. First, the HRDI of licensed physicians (HRDI_P) and registered nurses (HRDI_N) was calculated for descriptive analysis. Then, global and local Moran's I indices were employed to explore the spatial features and aggregation clusters of the health workforce. Finally, four types of independent variables were selected: supportive resources (bed density and government health expenditure), healthcare need (proportion of the elderly population), socioeconomic factors (urbanization rate and GDP per capita), and sociocultural factors (education expenditure per pupil and park green area per capita), and then the spatial panel econometric model was used to assess direct associations and intra-region spillover effects between independent variables and HRDI_P and HRDI_N. Results: Global Moran's I index of HRDI_P and HRDI_N increased from 0.2136 ( Conclusion: There were substantial spatial disparities in health workforce distribution in China; moreover, the health workforce showed positive spatial agglomeration with a strengthening tendency in the last decade. In addition, supportive resources, healthcare needs, and socioeconomic and sociocultural factors would affect the health labor configuration not only in a given province but also in its nearby provinces.
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