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Evaluating the Performance of GIS Methodologies for Quantifying Spatial Accessibility to Healthcare in Multi-Island Micro States (MIMS).

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There has been limited information on spatial accessibility to healthcare in Multi-island Micro States (MIMS). This is partly due to the application of methodologies that do not sufficiently consider the… Click to show full abstract

There has been limited information on spatial accessibility to healthcare in Multi-island Micro States (MIMS). This is partly due to the application of methodologies that do not sufficiently consider the dynamic or unique characteristics of MIMS. The objective of the paper is to evaluate the performance of different GIS methodologies for quantifying spatial accessibility to public healthcare in Multi-Island States (MIMS). Spatial Accessibility was measured using three GIS-based methodologies; Temporally Available Two-Step Floating Catchment Area (TA2SFCA), and traditional models (Two Step Floating Catchment Area (2SFCA) and the Gravity Model). Unlike the Gravity model and the 2SFCA which only used population and health facilities locations along with travel times to quantify spatial accessibility, the TA2SFCA also included information on the hours of operations and health schedules in its assessment. These additional variables were used to develop the time windows to assess differences in capacity among available service sites. TA2SFCA results showed that spatial accessibility was linked to a "traveling doctor" dynamic with access to healthcare services reflecting changes in supply of services. As such, the Gravity Model and Two Step Floating Catchment Area (2SFCA) which did not account for this peculiarity were inadequate for measuring spatial accessibility in MIMS. The TA2SFCA addressed both the temporal and spatial aspects of health which was most reflective of the health system of these islands. Given the spatial-temporal dynamic, improving accessibility to healthcare requires periodic assessments and reassessments of health service delivery since this is affected by operating times and changes in capacity. Furthermore, there is the need for more research to develop methodologies that are more reflective or sensitive to MIMS dynamics.

Keywords: accessibility healthcare; health; accessibility; healthcare multi; spatial accessibility

Journal Title: Health policy and planning
Year Published: 2022

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