%0 Journal Article
%T Measuring geographic access to health care: raster and network-based methods
%A Paul L Delamater
%A Joseph P Messina
%A Ashton M Shortridge
%A Sue C Grady
%J International Journal of Health Geographics
%D 2012
%I BioMed Central
%R 10.1186/1476-072x-11-15
%X We examine the assumptions present in population-based travel time models. Conceptual and practical differences between raster and network data models are reviewed, along with methodological implications for service area estimates. Our case study investigates Limited Access Areas defined by Michigan¡¯s Certificate of Need (CON) Program. Geographic accessibility is calculated by identifying the number of people residing more than 30 minutes from an acute care hospital. Both network and raster-based methods are implemented and their results are compared. We also examine sensitivity to changes in travel speed settings and population assignment.In both methods, the areas identified as having limited accessibility were similar in their location, configuration, and shape. However, the number of people identified as having limited accessibility varied substantially between methods. Over all permutations, the raster-based method identified more area and people with limited accessibility. The raster-based method was more sensitive to travel speed settings, while the network-based method was more sensitive to the specific population assignment method employed in Michigan.Differences between the underlying data models help to explain the variation in results between raster and network-based methods. Considering that the choice of data model/method may substantially alter the outcomes of a geographic accessibility analysis, we advise researchers to use caution in model selection. For policy, we recommend that Michigan adopt the network-based method or reevaluate the travel speed assignment rule in the raster-based method. Additionally, we recommend that the state revisit the population assignment method.
%K Health care access
%K Geographic accessibility
%K Limited access areas
%K Underserved populations
%K Health services
%U http://www.ij-healthgeographics.com/content/11/1/15/abstract