Public Health · 2 h ago
Healthcare resources grew in Liaoning, but regional differences persisted
An analysis of healthcare resources across 14 prefecture-level cities in Liaoning Province, China, found increases in physicians, nurses and hospital beds from 2005 to 2022. Statistical and spatial analyses showed differing city-level trajectories, while ARIMA models forecast further growth through 2027.
- Resources increased across Liaoning from 2005 to 2022.
- Shenyang and Dalian had higher absolute resource levels.
- Forecasts project further growth through 2027.
- City-level trajectories remained uneven.
Researchers analyzed annual healthcare-resource data from 14 prefecture-level cities in Liaoning Province, China, covering 2005–2022. They assessed trends in physicians, nurses and hospital beds using annual growth rates and estimated annual percentage change, grouped cities using exploratory k-means clustering, and examined spatial patterns with Moran’s I and local indicators of spatial association. ARIMA models were used to forecast resources for 2023–2027.
The analysis found substantial overall increases in medical resources, but levels and growth patterns varied across cities. Absolute resource levels were higher in core cities, including Shenyang and Dalian. Spatial analyses indicated clustering and persistent regional differences; forecasts suggested continued growth alongside uneven city-level trajectories.
The findings describe differences in development patterns, not measured changes in scalar inequality. They may inform regional planning, but the forecasts are model-based and do not establish how resource allocation affects access to care or health outcomes. The study used no human participants and was funded by the Liaoning Provincial Social Science Planning Fund.
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BMC Public Health: Patterns, regional differentiation and future forecasting of medical resource allocation in Liaoning Province, China ↗This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.