Address correspondence to Thomas A. Arcury, Ph.D., Professor and Research Director, Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston Salem, NC 27157-1084. Wilbert M. Gesler, Ph.D., Professor, and Jill Sherman, M.P.H., Graduate Research Assistant, are with the Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC. John S. Preisser, Ph.D., Research Associate Professor, and Jamie Perin, B.S., Graduate Research Assistant, are with the Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC. John Spencer, M.A., is the Assistant Director for Spatial Analysis, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
The Effects of Geography and Spatial Behavior on Health Care Utilization among the Residents of a Rural Region
Version of Record online: 21 JAN 2005
Health Services Research
Volume 40, Issue 1, pages 135–156, February 2005
How to Cite
Arcury, T. A., Gesler, W. M., Preisser, J. S., Sherman, J., Spencer, J. and Perin, J. (2005), The Effects of Geography and Spatial Behavior on Health Care Utilization among the Residents of a Rural Region. Health Services Research, 40: 135–156. doi: 10.1111/j.1475-6773.2005.00346.x
- Issue online: 21 JAN 2005
- Version of Record online: 21 JAN 2005
- rural health;
- geographic factors;
- health behavior model;
Objective. This analysis determines the importance of geography and spatial behavior as predisposing and enabling factors in rural health care utilization, controlling for demographic, social, cultural, and health status factors.
Data Sources. A survey of 1,059 adults in 12 rural Appalachian North Carolina counties.
Study Design. This cross-sectional study used a three-stage sampling design stratified by county and ethnicity. Preliminary analysis of health services utilization compared weighted proportions of number of health care visits in the previous 12 months for regular check-up care, chronic care, and acute care across geographic, sociodemographic, cultural, and health variables. Multivariable logistic models identified independent correlates of health services utilization.
Data Collection Methods. Respondents answered standard survey questions. They located places in which they engaged health related and normal day-to-day activities; these data were entered into a geographic information system for analysis.
Principal Findings. Several geographic and spatial behavior factors, including having a driver's license, use of provided rides, and distance for regular care, were significantly related to health care utilization for regular check-up and chronic care in the bivariate analysis. In the multivariate model, having a driver's license and distance for regular care remained significant, as did several predisposing (age, gender, ethnicity), enabling (household income), and need (physical and mental health measures, number of conditions). Geographic measures, as predisposing and enabling factors, were related to regular check-up and chronic care, but not to acute care visits.
Conclusions. These results show the importance of geographic and spatial behavior factors in rural health care utilization. They also indicate continuing inequity in rural health care utilization that must be addressed in public policy.