ArticleFrontiers in public health2026
Study on the spatial distribution characteristics and influencing factors of older adult(s) care facilities in Liaoning Province based on POI data.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Development and Internal Validation of an Explainable Machine Learning Model for Compassion Fatigue Risk Stratification Among Clinical Nurses in China.Risk management and healthcare policy · 2026Article
- Prediction and layout optimization of older adult(s) care facilities based on POI data, machine learning, and space syntax.Frontiers in public health · 2026Article
- Prioritizing Long-Term Care Services for Disabled Older Adults: A Cross-Sectional Study Using the Kano Model and Entropy-Weighted TOPSIS.Journal of nursing management · 2026Article
- Study on spatial accessibility and supply-demand fit of public older adult care facilities in Guangzhou.Frontiers in public health · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the improvement of people's living standards and health conditions, enhancing the quality of life for the older adult(s) has become a pressing social issue that needs to be addressed. As an effective way to address China's older adult(s) care challenges, the spatial layout of older adult(s) care facilities plays a crucial role in optimizing older adult(s) care resources and actively responding to population aging. Using spatial analysis methods and ArcGIS, this study analyzes the spatial density, spatial correlation, and spatial distribution patterns of older adult(s) care facilities in Liaoning Province, and employs geographical detectors to examine the factors influencing their spatial distribution. The results show that: ① In terms of spatial distribution, older adult(s) care facilities in Liaoning Province are more numerous in the central region and fewer in the surrounding areas. ② In terms of spatial clustering, older adult(s) care facilities have formed a high-density core area centered on Shenyang, a Bohai Rim clustering belt, and sub-core density areas centered on Dandong and Fuxin. ③ In terms of spatial matching between older adult(s) care facilities and the older adult(s) population, six cities have advanced older adult(s) care facility resources, four cities have basically matched resources, and four cities have lagging resources. ④ The factors influencing the distribution of older adult(s) care facility resources in Liaoning Province are complex, with the size of the older adult(s) population being the most important factor. These findings provide a scientific basis for optimizing the layout of older adult(s) care facilities in Liaoning Province, helping to rationally allocate older adult(s) care resources and promote the diversified development of older adult(s) care models.
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