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Measuring Spatial Accessibility of Health Care Providers – Introduction of a Variable Distance Decay Function within the Floating Catchment Area (FCA) Method

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  • Jan Bauer
  • David A Groneberg

Abstract

We integrated recent improvements within the floating catchment area (FCA) method family into an integrated ‘iFCA`method. Within this method we focused on the distance decay function and its parameter. So far only distance decay functions with constant parameters have been applied. Therefore, we developed a variable distance decay function to be used within the FCA method. We were able to replace the impedance coefficient β by readily available distribution parameter (i.e. median and standard deviation (SD)) within a logistic based distance decay function. Hence, the function is shaped individually for every single population location by the median and SD of all population-to-provider distances within a global catchment size. Theoretical application of the variable distance decay function showed conceptually sound results. Furthermore, the existence of effective variable catchment sizes defined by the asymptotic approach to zero of the distance decay function was revealed, satisfying the need for variable catchment sizes. The application of the iFCA method within an urban case study in Berlin (Germany) confirmed the theoretical fit of the suggested method. In summary, we introduced for the first time, a variable distance decay function within an integrated FCA method. This function accounts for individual travel behaviors determined by the distribution of providers. Additionally, the function inherits effective variable catchment sizes and therefore obviates the need for determining variable catchment sizes separately.

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  • Jan Bauer & David A Groneberg, 2016. "Measuring Spatial Accessibility of Health Care Providers – Introduction of a Variable Distance Decay Function within the Floating Catchment Area (FCA) Method," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-17, July.
  • Handle: RePEc:plo:pone00:0159148
    DOI: 10.1371/journal.pone.0159148
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    References listed on IDEAS

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    5. Tao, Zhuolin & Cheng, Yang & Du, Shishuai & Feng, Ling & Wang, Shaoshuai, 2020. "Accessibility to delivery care in Hubei Province, China," Social Science & Medicine, Elsevier, vol. 260(C).
    6. Antonio Paez & Christopher D Higgins & Salvatore F Vivona, 2019. "Demand and level of service inflation in Floating Catchment Area (FCA) methods," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-38, June.
    7. Gu, Zongni & Luo, Xiaolong & Tang, Mi & Liu, Xiaoman, 2023. "Does the edge effect impact the healthcare equity? An examination of the equity in hospitals accessibility in the edge city in multi-scale," Journal of Transport Geography, Elsevier, vol. 106(C).
    8. Pereira, Rafael H.M. & Braga, Carlos Kauê Vieira & Servo, Luciana Mendes & Serra, Bernardo & Amaral, Pedro & Gouveia, Nelson & Paez, Antonio, 2021. "Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach," Social Science & Medicine, Elsevier, vol. 273(C).
    9. Demitiry, Maria & Higgins, Christopher D. & Páez, Antonio & Miller, Eric J., 2022. "Accessibility to primary care physicians: Comparing floating catchments with a utility-based approach," Journal of Transport Geography, Elsevier, vol. 101(C).
    10. Juel Paul & Earl Edwards, 2019. "Temporal availability of public health care in developing countries of the Caribbean: An improved two‐step floating catchment area method for estimating spatial accessibility to health care," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 536-556, January.
    11. Meng Tian & Lei Yuan & Renzhong Guo & Yongsheng Wu & Xiaojian Liu, 2022. "Evaluations of Spatial Accessibility and Equity of Multi-Tiered Medical System: A Case Study of Shenzhen, China," IJERPH, MDPI, vol. 19(5), pages 1-18, March.
    12. Michael Irlacher & Dieter Pennerstorfer & Anna‐Theresa Renner & Florian Unger, 2023. "Modeling Interregional Patient Mobility: Theory And Evidence From Spatially Explicit Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1493-1532, November.
    13. Jing Luo & Guangping Chen & Chang Li & Bingyan Xia & Xuan Sun & Siyun Chen, 2018. "Use of an E2SFCA Method to Measure and Analyse Spatial Accessibility to Medical Services for Elderly People in Wuhan, China," IJERPH, MDPI, vol. 15(7), pages 1-17, July.
    14. Chen, Bi Yu & Cheng, Xue-Ping & Kwan, Mei-Po & Schwanen, Tim, 2020. "Evaluating spatial accessibility to healthcare services under travel time uncertainty: A reliability-based floating catchment area approach," Journal of Transport Geography, Elsevier, vol. 87(C).

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