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Spatial Interaction Model for Healthcare Accessibility: What Scale Has to Do with It

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  • Felipa de Mello-Sampayo

    (ISCTE-Instituto Universitário de Lisboa, BRU_ISCTE Business Research Unit, 1649-026 Lisboa, Portugal)

Abstract

This manuscript develops a theoretical spatial interaction model using the entropy approach to relax the assumption of the deterministic utility function. The spatial healthcare accessibility improves as the demand for healthcare increases or the opportunity cost of traveling to and from healthcare providers decreases. The empirical application used different spatial econometric techniques and multilevel modeling to evaluate the spatial distribution of existing hospitals in Texas and their social and economic correlates. To control for spatial autocorrelation, spatial autoregressive regression models were estimated, and geographically weighted regression models examined potential spatial non-stationarity. The multilevel modeling controlled for spatial autocorrelation and also allowed local variation and spatial non-stationarity. The empirical analysis showed that healthcare accessibility was not stationary in Texas in 2015, with areas of poor accessibility in rural and peripheral areas in Texas, when using hospitals’ location and county data. The model of spatial interaction applied to healthcare accessibility can be used to evaluate policies aiming at the provision of health services, such as closures of hospitals and capacity increases.

Suggested Citation

  • Felipa de Mello-Sampayo, 2020. "Spatial Interaction Model for Healthcare Accessibility: What Scale Has to Do with It," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4324-:d:362681
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    Cited by:

    1. Zhenyu Sun & Ying Sun & Xueyi Liu & Yixue Tu & Shaofan Chen & Dongfu Qian, 2022. "A Refined Evaluation Analysis of Global Healthcare Accessibility Based on the Healthcare Accessibility Index Model and Coupling Coordination Degree Model," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
    2. Katarina Mostarac & Petar Mostarac & Zvonko Kavran & Dragana Šarac, 2022. "Determining Optimal Locations of Postal Access Points Based on Simulated Annealing," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    3. Felipa De Mello-Sampayo, 2022. "Spatial and Temporal Analysis of COVID-19 in the Elderly Living in Residential Care Homes in Portugal," IJERPH, MDPI, vol. 19(10), pages 1-14, May.

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