ArticleInternational journal of environmental research and public health2022
Analysis of the Characteristics of Cross-Regional Patient Groups and Differences in Hospital Service Utilization in Beijing.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 16 citations in OpenAlex.
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- Emergence and regional evolution of Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae ST11 in China.BMC genomics · 2025Article
- Study on the spatial and temporal differences and influencing factors of out-of-pocket payments as a share of total health expenditure in China.BMC health services research · 2025Article
- Patient Mobility in the Digital Era: How Online Service Information from Internet Hospitals Shapes Patients' Cross-Regional Healthcare Choices.Healthcare (Basel, Switzerland) · 2025Article
- Cross-provincial inpatient mobility patterns and their determinants in China.BMC health services research · 2024Article
- The cross-regional settlement methods in hospitals and the treatment-seeking behavior of patients with malignant tumors in China: an evolutionary game model.Frontiers in public health · 2024Article
- Temporal trends of sepsis-related mortality in China, 2006-2020: a population-based study.Annals of intensive care · 2023Article
- Identifying the Drivers of Inter-Regional Patients' Mobility: An Analysis on Hospital Beds Endowment.Healthcare (Basel, Switzerland) · 2023Article
- Policy to expand hospital utilization in disadvantaged areas in Indonesia: who should be the target?BMC public health · 2023Article
- Inter-Regional Patients' Migration for Hospital Orthopedic Intensive Rehabilitation: The Italian Experience.International journal of environmental research and public health · 2022Article
- Analysis of Patients' Mobility Patterns: Insights From a Process Mining-Based Longitudinal Study.Inquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When medical diagnostic difficulties occur at local hospitals, seeking high-quality services across regions becomes a priority for many patients. Traditional statistical methods in health care are unable to account for spatial characteristics such as outflow place or distributions of disease type and patient ages in the context of an increasing number of cross-regional groups; thus, these methods are incapable of studying service utilization differences among hospitals. From a geographic perspective, we analyzed the spatial characteristics of cross-regional patient groups who travelled from other places to Beijing and the spatial decay patterns in the actual service utilization of different hospitals in Beijing by using geographic calculations, geographic visualizations, and distance decay functions. We found the following results: (1) It is feasible to study patients' cross-regional mobility from a geographical perspective. Through interdisciplinary integration, we can explore laws and conclusions that cannot be examined by traditional statistical methods in health care. (2) The characteristics of cross-regional patients who travelled from other places to Beijing were as follows: (a) Most patients came from northern China, and neoplasm treatment was the main demand of cross-regional patients; (b) patients 40-65 years old were the main cross-regional treatment group, and the average age of patients from northern regions and certain eastern coastal cities was relatively high. (3) The exponential distance decay function was the best of all five distance decay functions in fitting the distribution of cross-regional patient mobility to hospitals of different levels, types, and functional areas. The results of applying this function and the centrality calculation method showed that hospital service utilization was least affected by distance and that average radial distances (AR) were greatest in tertiary hospitals (distance decay coefficient
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