Tian Feng, Lu Saicong, Yang Zhenjie, Zhao Tingting, Li Penghui, Zhang Haifang
Hebei Key Laboratory of Medical Data Science, Handan, Hebei, China.
Institute of Biomedical Informatics, Hebei University of Engineering, Handan, Hebei, China.
Front Public Health. 2025 Mar 28;13:1548462. doi: 10.3389/fpubh.2025.1548462. eCollection 2025.
The evaluation of the accessibility of prehospital emergency medical facilities plays a vital role in the rational allocation of urban medical resources. Proper emergency medical services (EMS) planning based on accessibility evaluations can facilitate a more equitable distribution of healthcare services, thereby reducing disparities in emergency care availability across different urban areas. Prehospital EMS is often highly urgent, requiring effective intervention for patients in the shortest possible time.
To meet this need, the model incorporated distance-based selection probabilities to optimize decision making by considering both geographical location and the distribution of emergency resources, making it more compatible with the practical demands of prehospital EMS. In this study, the GAUSS-Probability Two-step Floating Catchment Area (GP2SFCA) method was applied to evaluate the spatial distribution of access to prehospital EMS in Handan City and to assess accessibility differences by comparing it with various models.
The results demonstrated that the GP2SFCA model achieved significantly improved performance, with an average correlation coefficient of 0.7017, indicating a notably higher predictive accuracy. In contrast, other models, including the Cumulative-Opportunity Rectangular (CUMR), Kernel Density (KD), and GAUSS models, showed a much lower average correlation coefficient of 0.1542. This comparison showed that the GP2SFCAmodel achieved optimized accuracy, increasing its applicability to real world scenarios.
Our study significantly improved the evaluation and optimization of the spatial distribution of medical resources in the Handan region, offering crucial decision support for enhancing the reachability of regional medical services via its meticulous analysis of accessibility and resource allocation.
院前急救医疗设施可达性评估在城市医疗资源合理配置中起着至关重要的作用。基于可达性评估进行合理的紧急医疗服务（EMS）规划，能够促进医疗服务更公平地分配，从而减少不同城市区域在紧急医疗服务可及性方面的差异。院前急救通常非常紧急，需要在尽可能短的时间内对患者进行有效干预。
为满足这一需求，该模型纳入了基于距离的选择概率，通过考虑地理位置和应急资源分布来优化决策，使其更符合院前急救的实际需求。在本研究中，采用高斯概率两步浮动捕获区域（GP2SFCA）方法评估邯郸市院前急救的可达性空间分布，并与各种模型进行比较以评估可达性差异。
结果表明，GP2SFCA模型性能显著提升，平均相关系数为0.7017，表明预测准确性明显更高。相比之下，其他模型，包括累积机会矩形（CUMR）、核密度（KD）和高斯模型，平均相关系数低得多，为0.1542。这种比较表明，GP2SFCA模型实现了优化的准确性，提高了其在现实场景中的适用性。
我们的研究显著改进了邯郸地区医疗资源空间分布的评估和优化，通过对可达性和资源配置的细致分析，为提高区域医疗服务的可达性提供了关键的决策支持。
