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May 20, 2026npj Health Systems0 citationsOpen Access

Factors Influencing Intercity Patient Mobility for Chronic Kidney Disease in China

Spatially heterogeneous and nonlinear factors influencing intercity patient mobility for chronic kidney disease: a nationwide study in China

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Authors

CGChenghua GuoJWJingyi WuQZQianlin Zuo

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Overview

Nationwide study examines spatial factors affecting patient mobility for chronic kidney disease, suggesting implications for healthcare policies.

Key Points

  • This study aims to identify spatial factors influencing intercity patient mobility for chronic kidney disease in China.
  • Analyzed over 4 million cross-city hospitalization records from 2014 to 2018.
  • Utilized Geodetector model to identify key factors driving patient mobility.
  • Applied multiscale geographically weighted regression (MGWR) to explore geographical heterogeneity.
  • Patient outflows correlated with hospital bed density, doctor density, and population growth rate.
  • Nephrology workforce availability and population structure were key to influencing patient inflows.
  • MGWR analysis indicated significant spatial variation in the impact of healthcare resources on patient mobility.
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Cite This Study

Guo et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5089f03e14405aa9c663https://doi.org/10.1038/s44401-026-00086-z
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Spatial structure and proximity mechanism of cross-city patient mobility networks in the Yangtze River Economic Belt of China: Based on patient online evaluation data2024
  2. 2Impacts of high-speed rail on intercity patient mobility: evidence from chronic kidney disease hospitalization in China2025
  3. 3Spatial Relationship of Inter-City Population Movement and Socio-Economic Determinants: A Case Study in China Using Multiscale Geographically Weighted Regression2024 · 2 citations
  4. 4Analysing the intra and interregional components of spatial accessibility gravity model to capture the level of equity in the distribution of hospital services: does they influence patient mobility?2024
  5. 5Exploring cross-city hospital visiting trips for medical service evaluation in urban agglomeration areas based on automobile navigation data2026