顾及就医出行行为的医疗设施潜在与实际可达性对比研究

Comparison of Potential and Revealed Accessibility of Medical Facilities Considering Medical Travel Behaviour

  • 摘要: 医疗设施可达性研究是分析区域获取医疗服务便捷程度的重要方法,现有研究主要以潜在可达性(potential accessibility, PA)研究为主,少有研究依据医疗设施实际使用情况分析医疗设施实际可达性(revealed accessibility, RA)。以中国四川省成都市主城区为研究区,利用滴滴出行数据,引入用户实际选择权重和医疗设施综合服务能力来拟合实际就医出行距离衰减函数,以改进三步搜索法模型,计算RA,并将其与基于医疗设施服务能力和潜在就医需求计算得到的潜在可达性对比,分析两者的不匹配程度,识别社区获取医疗服务的可达性类型,研究各类型社区的空间分布特征。结果表明:医疗设施潜在可达性主要受出行时长影响,中心区域和外围区域差异较大,各个区之间差距不明显;RA主要受实际就医出行次数影响,各个区之间差距明显;182个“RA>PA”型社区主要分布在成华区和金牛区,243个“RA<PA”型社区主要分布在武侯区;相关性分析表明两类社区的空间分异特征主要受RA影响。与传统潜在可达性研究相比,此研究更容易发现不同区域使用医疗设施的实际差异,判断潜在可达性的准确性,帮助相关部门发现医疗设施布局中存在的问题。

     

    Abstract:
    Objectives The study of medical facilities accessibility is a critical method to analyze the convenience of accessing medical services in a region. Existing research mainly focuses on potential accessibility (PA) research, and few studies have analyzed the revealed accessibility (RA) based on the actual use of medical facilities.
    Methods The main urban area of Chengdu City, Sichuan Province, China, is taken as the study area, and the actual travel distance decay function is fitted by introducing the user̓s actual choice weight and the comprehensive service capacity of healthcare facilities using droplet travel data to improve the three-step search method model for calculating RA. Then, we compare it with the PA calculated based on the service capacity of medical facilities and potential medical needs to analyze the degree of mismatch between them, identify the types of community access to medical facilities, and analyze their spatial distribution characteristics.
    Results The PA is mainly affected by the travel time, and the difference between the central area and the peripheral area is large, but the difference between different districts is not obvious. The RA is mainly affected by the number of medical trips, and the difference between each district is obvious. 182 communities with “RA>PA” are mainly distributed in Chenghua District and Jinniu District, and 243 communities with “RA<PA” are mainly distributed in Wuhou District.
    Conclusions The results of correlation analysis show that the spatial differentiation of the two types of communities is mainly affected by the RA. Compared with traditional PA research, the RA makes it easier to find the actual differences in the use of medical facilities in different regions, judge the accuracy of the PA, and help relevant departments find problems in the layout of medical facilities.

     

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