Comment on “A Conceptual Framework for Quality Healthcare Accessibility: a Scalable Approach for Big Data Technologies”
- 154 Downloads
ᅟFloating Catchment Area (FCA) metrics incorporate the supply of health care resources, potential population demand for those resources, and the distance separating people and supply locations to characterize the spatial accessibility of health care resources for populations. In this work, I challenge a number of assertions offered in a recently published FCA-based paper and provide a critique of the authors' proposed metric. Within my critique, I present a number of broad observations and recommendations regarding FCA metrics and their implementation in a Geographic Information System (GIS). In doing so, I aim to initiate a broader discussion of access to health care, spatial accessibility, and FCA metrics that transcends disciplinary boundaries.
KeywordsGeographic information systems Health care analytics Health care accessibility Gravity models
- Guagliardo, M. (2004). Spatial accessibility of primary care: concepts, methods and challenges. International Journal of Health Geographics, 3(3), 1–13.Google Scholar
- Langford, M., Higgs, G., & Fry, R. (2012b). Using floating catchment analysis (FCA) techniques to examine intra-urban variations in accessibility to public transport opportunities: the example of Cardiff, Wales. Journal of Transport Geography, 25, 1–14. https://doi.org/10.1016/j.jtrangeo.2012.06.014.CrossRefGoogle Scholar
- Lin, B.-C., Chen, C.-W., Chen, C.-C., Kuo, C.-L., Fan, I., Ho, C.-K., Liu, I.-C., & Chan, T.-C. (2016). Spatial decision on allocating automated external defibrillators (AED) in communities by multi-criterion two-step floating catchment area (MC2SFCA). International Journal of Health Geographics, 15(1), 17. https://doi.org/10.1186/s12942-016-0046-8.CrossRefGoogle Scholar
- Plachkinova, M., Vo, A., Bhaskar, R., & Hilton, B. (2018). A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies. Information Systems Frontiers, 20(2). https://doi.org/10.1007/s10796-016-9726-y.