2010
DOI: 10.1682/jrrd.2009.10.0173
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Using geographic information system tools to improve access to MS specialty care in Veterans Health Administration

Abstract: Abstract-Access to appropriate and timely healthcare is critical to the overall health and well-being of patients with chronic diseases. In this study, we used geographic information system (GIS) tools to map Veterans Health Administration (VHA) patients with multiple sclerosis (MS) and their access to MS specialty care. We created six travel-time bands around VHA facilities with MS specialty care and calculated the number of VHA patients with MS who resided in each time band and the number of patients who liv… Show more

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Cited by 23 publications
(21 citation statements)
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“…This strategy may improve access to specialists for veterans in remote or rural areas [20]. Similarly, distance‐to‐facility data also could be used to identify areas of the country where additional VA MS specialty clinics would improve access for the greatest number of individuals [21].…”
Section: Discussionmentioning
confidence: 99%
“…This strategy may improve access to specialists for veterans in remote or rural areas [20]. Similarly, distance‐to‐facility data also could be used to identify areas of the country where additional VA MS specialty clinics would improve access for the greatest number of individuals [21].…”
Section: Discussionmentioning
confidence: 99%
“…Geospatially fluent analytic approaches can crucially inform analyses of health care systems (71, 72). Detailing local densities and “types” (epidemiologic, physiologic or demographic) of data using GIS methodologies is fundamental to understanding current and future health resource needs.…”
Section: Examples Of Gis Techniques In the Renal Literaturementioning
confidence: 99%
“…Distance to VA facilities has previously been studied, using informatics approaches as geographic information system (GIS) tools to map VA patients and their access to specialty care [30,31]. However, these studies have not included a focus on the OEF-OIF population [32].…”
Section: Discussionmentioning
confidence: 99%