ArticleFrontiers in public health2024
Regional differences, dynamic evolution, and influencing factors of high-quality medical resources in China's ethnic minority areas.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Spatial heterogeneity of health care resources: a study of the socioeconomic, demographic, and natural geographic conditions of ethnic minority regions in Southwestern China.BMC public health · 2026Article
- Unmasking hidden high risk inInnovation (Cambridge (Mass.)) · 2026Article
- Does sports industry development improve regional public health? A cross-regional heterogeneous study in China.Frontiers in public health · 2026Article
- KAP related to first aid among first-year ethnic minority students: a cross-sectional study using latent profile analysis.Frontiers in public health · 2026Article
- Regional Differences and Dynamic Evolution of High-Quality Medical Resources in China's Private Hospitals from 2017 to 2022.Risk management and healthcare policy · 2026Article
- The impact of digital inclusive finance on medical and health service expenditures in urban and rural areas of Xinjiang Uygur Autonomous Region.BMC health services research · 2025Article
- Prevalence and clustering trends association of modifiable cardiovascular disease risk factors and ASCVD risk change in ethnic areas of the Southwest China plateau: progressively increasing sex disparity.BMC cardiovascular disorders · 2025Article
- The epidemiology and disease economic burden of osteoarticular tuberculosis in hospitalized children in China: a nationwide cross-sectional retrospective study.BMC infectious diseases · 2025Article
- Regional disparities and influencing factors of health production efficiency: evidence from China.BMC public health · 2025Article
- Development of a self-management behavior assessment scale for liver cancer patients from ethnic minorities.BMC health services research · 2025Article
- Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019-2023).Frontiers in health services · 2025Article
- Integrating ICH Good Clinical Practice (GCP) Principles and Essential Documentation into Dermatology Residency Education in China.Advances in medical education and practice · 2025Article
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Authors and funding
5 authors.
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Abstract
Background: In China, as people's standard of living improves and the medical service system becomes more sophisticated, the demand for higher-quality and improved healthcare services is steadily rising. Inequality in health resource allocation (HRA) is more pronounced in ethnic minority areas (EMAs) than in developed regions. However, little research exists on high-quality medical resources (HQMRs) in China's EMAs. Hence, we examined the spatiotemporal dynamic evolution of HQMRs in China's EMAs from 2007 to 2021 and identified the main factors affecting their respective HQMR levels. Methods: We selected tertiary hospitals to represent the quality of healthcare resources. We employed descriptive statistical techniques to analyze changes in the distribution of HQMRs from 2007 to 2021. We used the Dagum Gini coefficient and kernel density approach to analyze the dynamic evolution of HQMRs in China's EMAs. We utilized the least squares dummy variable coefficient (LSDVC) to identify key factors affecting HQMR. Results: The number of HQMRs in each EMA has risen annually. The average number of tertiary hospitals increased from 175 in 2007 to 488 in 2021. The results of the Dagum Gini coefficient revealed that the differences in the HQMR level in China's EMAs have slowly declined, and intra-regional disparities have now become the primary determining factor influencing overall variations. The kernel density plot indicated that the HQMR level improved significantly during the study period, but bifurcation became increasingly severe. Using the LSDVC for analysis, we found that gross domestic product (GDP) Conclusion: The HQMR level in EMAs has risen rapidly but remains inadequate. The differences in HQMR between regions have continued to narrow, but serious bifurcation has occurred. Policymakers should consider economic growth, education, and population size rather than simply increasing the number of HQMRs everywhere.
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