A three-step floating catchment area method for analyzing spatial access to health services

International Journal of Geographical Information Science

Volumn 26, Issue 6, 2012, Pages 1073-1089

  Wan, Neng ^a   Zou, Bin ^b   Sternberg, Troy ^c  

^a UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

^b CENTRAL SOUTH UNIVERSITY   (China)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

E2SFCA; GIS; Gravity model; Health professional shortage area; Health service; Spatial access

Indexed keywords

GIS; HEALTH CARE; HEALTH SERVICES; HEALTH WORKER; RESOURCE ALLOCATION; SPATIAL ANALYSIS;

AUSTIN; SAN ANTONIO; TEXAS; UNITED STATES;

EID: 84866852840     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2011.624987     Document Type: Article

References (40)

1. Aday, L., and Andersen, R., 1974. A framework for the study of access to medical care. Health Services Research, 2:208–220.
2. Albert, D.P., and Butar, F.B., 2005. Estimating the de-designation of single-county HPSAs in the United States by counting naturopathic physicians as medical doctors. Applied Geography, 25:271–285.
3. Andrulis, D.P., 1998. Access to care is the centerpiece in the elimination of socioeconomic disparities in health. Annals of Internal Medicine, 129:412–416.
4. Cervigni, F., 2008. Spatial accessibility to pediatric services. Journal of Community Health, 33:444–448.
5. Cooper, R.A., 1994. Seeking a balanced physician work-force for the 21st century. Journal of the American Medical Association, 272:680–687.
6. Environmental Systems Research Institute, 2008. Make OD cost matrix layer (Network Analyst) [online]. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=Ma-ke_OD_Cost_Matrix_Layer_%28Network_Analyst%29 (http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=Ma-ke_OD_Cost_Matrix_Layer_%28Network_Analyst%29) (Accessed:20 August 2010).
7. Fotheringham, A., and O'Kelly, M.E., 1989. Spatial interaction models:formulations and applications, Dordrecht:Kluwer.
8. Guagliardo, M., 2004. Spatial accessibility of primary care:concepts, methods and challenges. International Journal of Health Geographics, 3:1–13.
9. Hart, G., 2006. Rural-urban commuting areas codes, version 2.0 [online].http://www.doh.wa.gov/data/Guidelines/RuralUrban1.htm/ http://depts.washington.edu/uwruca/ (http://depts.washington.edu/uwruca/) (Accessed:18 May 2010).
10. Hwang, H.L., and Rollow, J., 2000. Data processing procedures and methodology for estimating trip distances for the 1995 American Travel Survey (ATS), Oak Ridge, TN:Oak Ridge National Laboratory. ORNL/TM-2000/141
11. Joseph, A.E., and Bantock, P.R., 1982. Measuring potential physical accessibility to general practitioners in rural areas:a method and case study. Social Science & Medicine, 16:85–90.
12. Khan, A., 1992. An integrated approach to measuring potential spatial access to health care services. Socio-economic Planning Sciences, 26 (4):275–287.
13. Kleinman, J.C., and Makuc, D., 1983. Travel for ambulatory medical care. Medical Care, 21:543–557.
14. Kwan, M.P., 1998. Space-time and integral measures of individual accessibility:a comparative analysis using a point-based framework. Geographical Analysis, 30:191–216.
15. Langford, M., and Higgs, G., 2006. Measuring potential access to primary healthcare services:the influence of alternative spatial representations of population. Professional Geographer, 58:294–306.
16. Lee, P.R., 1995. Health system reform and the generalist physician. Academic Medicine, 70:S10–S13.
17. Lee, R.C., 1991. Current approaches to shortage area designation. Journal of Rural Health, 7:437–450.
18. Luo, W., 2004. Using a GIS-based floating catchment method to assess areas with shortage of physicians. Health and Place, 10:1–11.
19. Luo, W., and Qi, Y., 2009. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health and Place, 15:1100–1107.
20. Luo, W., and Wang, F., 2003. Measures of spatial accessibility to health care in a GIS environment:synthesis and a case study in the Chicago region. Environment and Planning B:Planning and Design, 30:865–884.
21. McGrail, M.R., and Humphreys, J.S., 2009a. A new index of access to primary care services in rural areas. Australian and New Zealand Journal of Public Health, 33:418–423.
22. McGrail, M.R., and Humphreys, J.S., 2009b. Measuring spatial accessibility to primary care in rural areas:improving the effectiveness of the two-step floating catchment area method. Applied Geography, 29:533–541.
23. McGrail, M.R., and Humphreys, J.S., 2009c. The index of rural access:an innovative integrated approach for measuring primary care access. BMC Health Services Research, 9:124
24. Meade, S.M., Florin, J.W., and Gesler, W.M., 1988. Medical geography, 340New York:The Guilford Press.
25. Radke, J., and Mu, L., 2000. Spatial decomposition, modelling and mapping service regions to predict access to social programs. Geographic Information Sciences, 6:105–112.
26. Ricketts, T.C., 2007. Designating places and populations as medically underserved:a proposal for a new approach. Journal of Health Care for the Poor and Underserved, 18:567–589.
27. Schuurman, N., Berube, M., and Crooks, V.A., 2010. Measuring potential spatial access to primary health care physicians using a modified gravity model. Canadian Geographer, 54:29–45.
28. Silverman, B.W., 1986. Density estimation for statistics and data analysis, London:Chapman and Hall.
29. Tiwari, C., and Rushton, G., Using spatially adaptive filters to map late stage colorectal cancer incidence in Iowa. Developments in spatial data handling. Proceedings of the 11th international symposium on spatial data handling (August 22–24, 2004. University of Leicester, UK). Berlin, Heidelberg. Edited by:Fisher, P.F., pp. 665–676. Springer.
30. U.S. Bureau of the Census. 2001a. Census 2000 Summary File1 (SF1) Texas, Washington, DC:US Bureau of the Census.
31. U.S. Bureau of the Census. 2001b. Census 2000 TIGER/Line files Texas, Washington, DC:US Bureau of the Census.
32. U.S. General Accounting Office. 1995. Health care shortage areas:designation not a useful tool for directing resources to the underserved, Washington, DC:General Accounting Office. GAO/HEHS-95-2000
33. Wan, N., 2012. A relative spatial access assessment approach for analyzing potential spatial access to colorectal cancer services in Texas. Applied Geography, 32:291–299.
34. Wang, F.H., and Luo, W., 2005. Assessing spatial and nonspatial factors for healthcare access:towards an integrated approach to defining health professional shortage areas. Health and Place, 11:131–146.
35. Wang, F.H., and Minor, W.W., 2002. Where the jobs are:employment access and crime patterns in Cleveland. Annals of the Association of American Geographers, 92:435–450.
36. Wang, F.H., 2008. Late-stage breast cancer diagnosis and health care access in Illinois. Professional Geographer, 60:54–69.
37. Wang, L., 2007. Immigration, ethnicity, and accessibility to culturally diverse family physicians. Health and Place, 13:656–671.
38. Weissman, J.S., 1991. Delayed access to health-care-risk-factors, reasons, and consequences. Annals of Internal Medicine, 114:325–331.
39. Wing, P., and Reynolds, C., 1988. The availability of physician services:a geographic analysis. Health Services Research, 23:649–667.
40. Yang, D.H., Goerge, R., and Mullner, R., 2006. Comparing GIS-based methods of measuring spatial accessibility to health services. Journal of Medical Systems, 30:23–32.