Evidence map›Paper›PMID 42512644›Full record

ArticleHealthcare (Basel, Switzerland)2026

Beyond Spatial Proximity: Optimizing Nursing Home Bed Allocation with a Proposed '4A' Model-Insights from Guangzhou, China.

He Jin, Na Li, Mengya Jia, Mengtian Wu, Shixiong Hu

Abstract read
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Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

He JinSchool of Intelligent Transportation and Intelligent Construction Engineering, Huanghe Jiaotong University, Jiaozuo 454950, China.
Na LiSchool of Intelligent Transportation and Intelligent Construction Engineering, Huanghe Jiaotong University, Jiaozuo 454950, China.
Mengya JiaSchool of Artificial Intelligence, Huanghe Jiaotong University, Jiaozuo 454950, China.
Mengtian WuSchool of Intelligent Transportation and Intelligent Construction Engineering, Huanghe Jiaotong University, Jiaozuo 454950, China.
Shixiong HuSchool of Intelligent Transportation and Intelligent Construction Engineering, Huanghe Jiaotong University, Jiaozuo 454950, China.

Funding

Henan Provincial Natural Science Foundation for Youth 242300420614key project of Philosophy and Social Science Research in Colleges and Universities in Henan Province 2022-JCZD-15Natural Science Foundation Project of Henan Province 242300420228project of Philosophy and Social Science Plan in Henan Province 2022BJJ070
6 · The paper itself

Abstract

BACKGROUND/

objectivesAs Guangzhou's population ages rapidly, the supply-and-demand gap in elderly care facilities has become severe. We propose a '4A' model that draws on accessibility, affordability, acceptability, and availability from the classic '5A' access framework to optimize nursing home bed allocation from existing facilities.

methodsWe applied the '4A' model to 2630 communities/villages and 243 nursing homes in Guangzhou, using linear programming to maximize a matching score under capacity, demand, and occupancy constraints. Inequality was assessed using the Gini coefficient, Theil index, Moran's I, and hot spot analysis. Four policy scenarios were simulated under resource-scarce and resource-abundant conditions.

resultsA total of 753 (28.6%) communities/villages had no access to nursing homes. The unmet demand rates followed a 'dual-center' clustering pattern, and hot spots were not only in the urban core, where 'scale disadvantage' and 'matching disadvantage' coexisted, but also in outer suburban districts to form a 'supply vacuum.' Inequity was moderate, and it originated from between-district disparities. Compared with a 'distance-only variant' model, our '4A' model allocated 3813 more beds. Policy simulations showed that minimum service (α=0.1) eliminated all unserved communities/villages; targeted bed expansion increased satisfaction rates to 74.8% and reduced the Gini coefficient to 0.280; and subsidies and quality upgrades became effective only when bed supply was abundant. The four simulations were phased into a three-phase policy roadmap.

conclusionsThe '4A' model transforms the qualitative '5A' framework into a computable allocation matrix, offering actionable recommendations for equitable access to elderly care resources.

Indexed as

‘4A’ modelcommunity-level inequityelderly care allocationoptimization–diagnosis–interventionpolicy simulation

Identifiers

PMID42512644
PMCPMC13411169

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.