ArticleBMC health services research2018
Detecting the priority areas for health workforce allocation with LISA functions: an empirical analysis for China.
Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Equity in the allocation of professional public health human resources and its improvement path in China.BMC health services research · 2026Article
- Equity in health resource allocation in Guangdong Province, China, from 2013-2021: research based on the Dagum Gini coefficient and exploratory spatial data analysis.Cost effectiveness and resource allocation : C/E · 2026Article
- Spatial econometric analysis of health workforce distribution and its influencing factors in Inner Mongolia, China.PloS one · 2026Article
- Spatial epidemiology of dengue and chikungunya in Karnataka using GIS-based analysis.Global health action · 2025Article
- 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
- Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen.GeoHealth · 2023Article
- Measuring the inequalities in healthcare resource in facility and workforce: A longitudinal study in China.Frontiers in public health · 2023Article
- Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010-2019.Frontiers in public health · 2022Article
- Differences in regional distribution and inequality in health-resource allocation on institutions, beds, and workforce: a longitudinal study in China.Archives of public health = Archives belges de sante publique · 2021Article
- Visualizing the drivers of an effective health workforce: a detailed, interactive logic model.Human resources for health · 2021Article
- Factors associated with the utilization of community-based diabetes management care: A cross-sectional study in Shandong Province, China.BMC health services research · 2020Article
- Current situation and distribution equality of public health resource in China.Archives of public health = Archives belges de sante publique · 2020Article
- Addressing the Licensed Doctor Maldistribution in China: A Demand-And-Supply Perspective.International journal of environmental research and public health · 2019Article
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6 authors.
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Abstract
backgroundHealth workforce misdistribution leads to severe inequity and low-efficiency in health services in the developing countries. Targeting at China, this research aims to reveal, visualize and compare the geographical distribution patterns of different subtypes of urban and rural health workforce and identify the priority regions for health workforce planning and allocation policies designing.
methodsThe health workforce density (workforce-to-population ratio) is adopted to represent the accessibility to health workforce in each geographical unit. Besides a descriptive geography of health workforce as a whole, the local indicators of spatial association (LISA) are used to explore the spatial clusters of different subtypes of health workforce, which are visualized by geographical tools.
resultsResults reveal that regional disparities and spatial clusters exist in China's health workforce distribution, with different types of workforce exhibiting relatively different spatial distribution characteristics. Besides, huge urban-rural disparities are found in the distribution of health workforce in China. Unexpectedly but intriguingly, most of the high-high and high-low cluster area of urban health workforce are concentrated in the western China (Xinjiang, Xizang etc.), indicating the relative abundant stock of urban health workforce in these units, while the low-low and low-high cluster area of different types of urban health workforce are mainly distributed in middle China. Regarding the rural health workforce, there is an obvious and similar low-low and low-high clustering pattern in western provinces (Sichuan, Yunnan) for the licensed doctors, pharmacists, technologists, which play a critical role in health services delivery.
conclusionsDifferent types of health workforce displayed distinct spatial distribution patterns, while the misdistribution of rural health workforce imposed more challenges to the Chinese health sector due to its poorer stock and more disadvantaged positions of backward regions (i.e., low-low and low-high cluster area). Subtype-specific and region-oriented health workforce planning and allocation policies are suggested to be made, aiming at the urban and rural health workforce respectively, by prioritizing the identified low-low and low-high cluster areas.
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