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The Journal of the American Board of Family Medicine 23 (1): 13-21 (2010)
DOI: 10.3122/jabfm.2010.01.090135
© 2010 American Board of Family Medicine
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Original Research

Using Geographic Information Systems (GIS) to Understand a Community's Primary Care Needs

Michael F. Dulin, MD, PhD, Thomas M. Ludden, MA, Hazel Tapp, PhD, Joshua Blackwell, MS, Brisa Urquieta de Hernandez, BUS, Heather A. Smith, PhD and Owen J. Furuseth, PhD

Department of Family Medicine, Carolinas Medical Center (MFD, HT, BUdH), Charlotte, NC
Department of Geography and Earth Sciences, University of North Carolina (TML, JB, HAS, OJF), Charlotte, NC

Correspondence: Corresponding author: Hazel Tapp, PhD, Department of Family Medicine, Carolinas Healthcare System, 2001 Vail Avenue, 4th Floor, Suite 400, Charlotte, NC 28207 (E-mail: hazel.tapp{at}carolinashealthcare.org)

Introduction: A key element for reducing health care costs and improving community health is increased access to primary care and preventative health services. Geographic information systems (GIS) have the potential to assess patterns of health care utilization and community-level attributes to identify geographic regions most in need of primary care access.

Methods: GIS, analytical hierarchy process, and multiattribute assessment and evaluation techniques were used to examine attributes describing primary care need and identify areas that would benefit from increased access to primary care services. Attributes were identified by a collaborative partnership working within a practice-based research network using tenets of community-based participatory research. Maps were created based on socioeconomic status, population density, insurance status, and emergency department and primary care safety-net utilization.

Results: Individual and composite maps identified areas in our community with the greatest need for increased access to primary care services.

Conclusions: Applying GIS to commonly available community- and patient-level data can rapidly identify areas most in need of increased access to primary care services. We have termed this a Multiple Attribute Primary Care Targeting Strategy. This model can be used to plan health services delivery as well as to target and evaluate interventions designed to improve health care access.



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