title: Spatial accessibility in suboptimally configured health care systems: a modified two-step floating catchment area (M2SFCA) metric.
abstract: The floating catchment area (FCA) family of metrics employ principles from gravity-based models to incorporate supply, demand, and distance in their characterization of the spatial accessibility of health care resources. Unlike traditional gravity models, the FCA metrics provide an output in highly interpretable container-like units (e.g., physicians per person). This work explores two significant issues related to FCA metrics. First, the Three Step Floating Catchment Area is critically examined. Next, the research shows that all FCA metrics contain an underlying assumption that supply locations are optimally configured to meet the needs of the population within the system. Because truly optimal configurations are highly unlikely in real-world health care systems, a modified two-step floating catchment area (M2SFCA) metric is offered to address this issue. The M2SFCA is built upon previous FCA metrics, but allows for spatial accessibility to be discounted as a result of the suboptimal configuration of health care facilities within the system. The utility of the new metric is demonstrated through simulated data examples and a case study exploring acute care hospitals in Michigan.
authors.affiliation: Department of Geography, Michigan State University, East Lansing, MI, USA. Electronic address: delamate@msu.edu.
authors.forename: Paul L
authors.initials: PL
authors.lastname: Delamater
mesh_terms: D002391:Catchment Area, Health / Q000706:statistics & numerical data; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006801:Humans; D008824:Michigan; D015233:Models, Statistical
keywords: 3SFCA; E2SFCA; Gravity models; Health care access; Spatial accessibility