Measurement, Optimization, and Impact of Health Care Accessibility: A Methodological Review

Annals of the Association of American Geographers

Volumn 102, Issue 5, 2012, Pages 1104-1112

  Wang, Fahui ^a  

^a LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

accessibility measure; health care access; late stage cancer; optimization

Indexed keywords

ACCESSIBILITY; HEALTH CARE; HEALTH IMPACT; HEALTH SERVICES; OPTIMIZATION; PERFORMANCE ASSESSMENT; RESOURCE ALLOCATION; SERVICE PROVISION;

UNITED STATES;

EID: 84864021280     PISSN: 00045608     EISSN: 14678306     Source Type: Journal    
DOI: 10.1080/00045608.2012.657146     Document Type: Article

References (55)

1. Agency for Healthcare Research and Quality. 2010. National healthcare disparities report 2009, AHRQ Publication No. 10-0004. http://www.ahrq.gov/qual/qrdr09.htm (last accessed 15 October 2010)
2. Arcury, T. A., Gesler, W. M., Preisser, J. S., Sherman, J. and Perin, J. 2005. The effects of geography and spatial behavior on healthcare utilization among the residents of a rural region. Health Services Research, 40: 135-55.
3. Best, N. G., Ickstadt, K. and Wolpert, R. L. 2000. Spatial Poisson regression for health and exposure data measured at disparate resolutions. Journal of the American Statistical Association, 95: 1076-88.
4. Centers for Disease Control and Prevention. 2010. Deaths and mortality, Atlanta, GA: Centers for Disease Control and Prevention. http://www.cdc.gov/nchs/fastats/deaths.htm (last accessed 8 February 2012).
5. Church, R. L. 1999. "Location modelling and GIS". In Geographical information systems, Edited by: Longley, M. F. Goodchild, D. J. Maguire, and D. W. Rhind, P. A. 293-303. New York: Wiley.
6. Clayton, D. and Kaldor, J. 1987. Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics, 43: 671-81.
7. Culyer, A. J. and Wagstaff, A. 1993. Equity and equality in health and healthcare. Journal of Health Economics, 12: 431-57.
8. Dai, D. 2010. Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit. Health & Place, 16: 1038-52.
9. Department of Health and Human Services. 2008. Designation of medically underserved populations and Health Professional Shortage Areas: Proposed rule. http://bhpr.hrsa.gov/shortage/proposedrule/frn.htm (last accessed 15 October 2010)
10. Environment Systems Research Institute, Inc. 2012. ArcGIS Network Analyst. http://www.esri.com/software/arcgis/extensions/networkanalyst/ (last accessed 8 February 2012)
11. Field, K. 2000. Measuring the need for primary healthcare: An index of relative disadvantage. Applied Geography, 20: 305-32.
12. Gesler, W. M. and Albert, D. P. 2000. "How spatial analysis can be used in medical geography". In Spatial analysis, GIS and remote sensing applications in the health sciences, Edited by: Albert, D. P., Gesler, W. M. and Levergood, B. 11-38. Chelsea, MI: Ann Arbor Press.
13. Gould, N. and Toint, P. 2012. A quadratic programming page. http://www.numerical.rl.ac.uk/qp/qp.html (last accessed 8 February 2012).
14. Griffith, D. A. 2004. A spatial filtering specification for the auto-logistic model. Environment & Planning A, 36: 1791-1811.
15. Gu, W., Wang, X. and McGregor, S. E. 2010. Optimization of preventive healthcare facility locations. International Journal of Health Geographics, 9: 17
16. Guagliardo, M. F. 2004. Spatial accessibility of primary care: Concepts, methods and challenges. International Journal of Health Geography, 3: 3
17. Guo, D. 2008. Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP). International Journal of Geographical Information Science, 22: 801-23.
18. Haining, R., Wises, S. and Blake, M. 1994. Constructing regions for small area analysis: Material deprivation and colorectal cancer. Journal of Public Health Medicine, 16: 429-38.
19. Hart, L. G., Salsberg, E., Phillips, D. M. and Lishner, D. M. 2002. Rural health care providers in the United States. Journal of Rural Health, 18: 211-32.
20. Hemenway, D. 1982. The optimal location of doctors. The New England Journal of Medicine, 306: 397-401.
21. Huff, D. L. 2000. Don't misuse the Huff model in GIS. Business Geographies, 8: 12
22. 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 and Medicine, 16: 85-90.
23. Joseph, A. E. and Phillips, D. 1984. Accessibility and utilization-Geographical perspectives on healthcare delivery, New York: Harper & Row.
24. Khan, A. A. 1992. An integrated approach to measuring potential spatial access to healthcare services. Socioeconomic Planning Science, 26: 275-87.
25. 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.
26. Kwan, M.-P. 1999. Gender and individual access to urban opportunities: A study using space-time measures. The Professional Geographer, 51: 210-27.
27. Lam, N. S.-N. and Liu, K. 1996. Use of space-filling curves in generating a national rural sampling frame for HIV-AIDS research. Professional Geographer, 48: 321-32.
28. Lovett, A., Haynes, R., Sunnenberg, G. and Gale, S. 2002. Car travel time and accessibility by bus to general practitioner services: A study using patient registers and GIS. Social Science & Medicine, 55: 97-111.
29. 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.
30. Luo, W. and Wang, F. 2003. Measure of spatial accessibility to healthcare in a GIS environment: Synthesis and a case study in the Chicago region. Environmental and Planning B, 30: 865-84.
31. Martin, D., Jordan, H. and Roderick, P. 2008. Taking the bus: Incorporating public transport timetable data into healthcare accessibility modelling. Environment and Planning A, 40: 2510-25.
32. McGrail, M. R. and Humphreys, J. S. 2009. A new index of access to primary care services in rural areas. Australian and New Zealand Journal of Public Health, 33: 418-23.
33. McLafferty, S. and Wang, F. 2009. Rural reversal? Risk of late-stage cancer across the rural-urban continuum in Illinois. Cancer, 115: 2755-64.
34. Meade, S. M. and Earickson, R. J. 2000. Medical geography. 2nd ed, New York: Guilford.
35. Menck, H. R. and Mills, P. K. 2001. The influence of urbanization, age, ethnicity, and income on the early diagnosis of breast carcinoma: Opportunity for screening improvement. Cancer, 92: 1299-1304.
36. Morrill, R. L. and Kelley, M. 1970. The simulation of hospital use and the estimation of locational efficiency. Geographical Analysis, 2: 283-300.
37. Mu, L. and Wang, F. 2008. A scale-space clustering method: Mitigating the effect of scale in the analysis of zone-based data. Annals of the Association of American Geographers, 98: 85-101.
38. Nocedal, J. and Wright, S. J. 2006. Numerical optimization. 2nd ed, Berlin: Springer-Verlag.
39. Oliver, A. and Mossialos, E. 2004. Equity of access to healthcare: Outlining the foundations for action. Journal of Epidemiology and Community Health, 58: 655-58.
40. Pacheco, J. A. and Casado, S. 2005. Solving two location models with few facilities by using a hybrid heuristic: A real health resources case. Computers & Operations Research, 32: 3075-91.
41. Perry, B. and Gesler, W. 2000. Physical access to primary healthcare in Andean Bolivia. Social Science & Medicine, 50: 1177-88.
42. Physicians for Social Responsibility. 2009. Physicians for Social Responsibility policy on health care reform in the United States. http://www.psr.org/social-justice/healthcare-reform.html (last accessed 8 February 2012).
43. Shavandi, H. and Mahlooji, H. 2008. Fuzzy hierarchical queuing models for the location set covering problem in congested systems. Scientia Iranica, 15: 378-88.
44. Shen, Q. 1998. Location characteristics of inner-city neighborhoods and employment accessibility of low-income workers. Environment and Planning B, 25: 345-65.
45. Sherman, J. E., Spencer, J., Preisser, J. S., Gesler, W. M. and Arcury, T. A. 2005. A suite of methods for representing activity space in a healthcare accessibility study. International Journal of Health Geographics, 4: 24
46. Shi, X., Duell, E., Demidenko, E., Onega, T., Wilson, B. and Hoftiezer, D. 2007. A polygon-based locally-weighted-average method for smoothing disease rates of small units. Epidemiology, 18: 523-28.
47. Tiwari, C. and Rushton, G. 2004. "Using spatially adaptive filters to map late stage colorectal cancer incidence in Iowa". In Developments in spatial data handling, Edited by: Fisher, P. 665-76. New York: Springer-Verlag.
48. Wang, F. 2006. Quantitative methods and applications in GIS., Boca Raton, FL: CRC Press.
49. Wang, F. and Luo, W. 2005. Assessing spatial and nonspatial factors in healthcare access in Illinois: Towards an integrated approach to defining Health Professional Shortage Areas. Health and Place, 11: 131-46.
50. Wang, F., Luo, L. and McLafferty, S. 2010. Healthcare access, socioeconomic factors and late-stage cancer diagnosis: An exploratory spatial analysis and public policy implication. International Journal of Public Policy, 5: 237-58.
51. Wang, F., McLafferty, S., Escamilla, V. and Luo, L. 2008. Late-stage breast cancer diagnosis and healthcare access in Illinois. The Professional Geographer, 60: 54-69.
52. Wang, F. and Tang, Q. 2010. "Towards equal accessibility to services: A quadratic programming approach". Paper presented at the 18th International Conference on GeoInformatics, Beijing, China
53. World Health Organization. 2000. The world health report 2000: Health systems: Improving performance http://www.who.int/whr/2000/en/index.html (last accessed 8 February 2012).
54. Yang, D., Goerge, R. and Mullner, R. 2006. Comparing GIS-based methods of measuring spatial accessibility to health services. Journal of Medical Systems, 30: 23-32.
55. Zhang, Y., Berman, O. and Verter, V. 2009. Incorporating congestion in preventive healthcare facility network design. European Journal of Operational Research, 198: 922-35.