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Physician distribution across China's cities: regional variations
Xuexin Yu1, Wei Zhang2, Jersey Liang3
1West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610040, Sichuan, China.
Physician density in urban China declined despite overall increases, showing disparities across cities. Understanding population and socioeconomic factors is crucial for equitable healthcare access.
Area of Science:
- Health Services Research
- Urban Studies
- Public Health Policy
Background:
- Physician distribution is vital for healthcare access, with limited research on urban variations.
- China's rapid urbanization presents unique challenges for equitable physician distribution.
- This study examines physician density variations across over 600 Chinese cities.
Purpose of the Study:
- To analyze the heterogeneity of physician density across diverse urban areas in China.
- To identify factors influencing physician distribution within urban settings.
- To inform policies aimed at improving healthcare access in rapidly urbanizing regions.
Main Methods:
- Utilized data from National Census Surveys and China statistical yearbooks (2000-2003, 2010-2013).
- Characterized cities by administrative level, geographic region, and urban agglomeration status.
- Employed generalized estimating equations with an ordinal logistic linking function to analyze physician supply variations.
Main Results:
- Physician density declined in urban China between 2003 and 2013, after adjusting for population and socioeconomic factors.
- Urban districts generally had higher physician density than county-level cities, with notable regional differences.
- No significant difference in physician density was observed between cities within and outside urban agglomerations.
Conclusions:
- Physician density growth did not consistently match population health demand changes, indicating potential access issues.
- Reduced inequality in physician distribution was observed, but disparities persist.
- Assessing physician distribution requires consideration of population heterogeneity and socioeconomic characteristics.
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