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Using GIS in Government: An Overview of the VHA's Healthcare Atlas, FY-2000

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Abstract

The amount of VA data available for analysis can be overwhelming to individuals who need to translate these data into usable information. The Atlas, using current GIS technology, was funded to provide data in a comprehensive guide. Patients were identified using a disease classification scheme based on Kaiser Permanente methodology and the Clinical Classifications Software (AHRQ). Utilization data were extracted from the Medical SAS Datasets. Cost data were obtained from the HERC. GIS tools were used to create the Atlas. The Atlas overviews the location of VA hospitals; profiles veteran, VA enrollee and patient populations; examines overall utilization; depicts patterns in healthcare use by specific disease cohorts; and examines geographic variations in costs. This product will enhance knowledge of VA's enrolled patient population and their healthcare needs, and provide background information that will improve the formulation of specific research questions to address those needs.

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REFERENCES

  1. Klein, R., The Changing Veteran Population 1990-2020. Department of Veterans Affairs, Office of the Actuary, Washington, DC, (2001).

    Google Scholar 

  2. Yu, W., Ravelo, A., Wagner, T. H., Phibbs, C. S., Bhandari, A., Chen, S., and Barnett, P. G., Prevalence and costs of chronic conditions in the VA Health Care System. Med. Care Res. Rev. 60(3, Suppl):146S-167S, (2003).

    Google Scholar 

  3. Ray, G. T., Collin, F., Lieu, T., Firemen, B., Colby, C. J., and Quesenberry, C. P., The cost of health conditions in a health maintenance organization. Med. Care Res. Rev. 57(1):92-109, (2000).

    Google Scholar 

  4. AHRQ, Clinical Classifications Software, Fact Sheet, Agency for Health Care Research and Quality, Department of Health and Human Services, Rockville, MD, (2000).

  5. Peterson, K. A., Swindle, R. W., Phibbs, C. S., Recine, B., and Moos, R. H., Determinants of readmission following inpatient substance abuse treatment: A national study of VA programs. Med. Care 32(6):535-550, (1994).

    Google Scholar 

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Cowper, D., Yu, W., Kuebeler, M. et al. Using GIS in Government: An Overview of the VHA's Healthcare Atlas, FY-2000. Journal of Medical Systems 28, 257–269 (2004). https://doi.org/10.1023/B:JOMS.0000032843.52406.2f

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  • DOI: https://doi.org/10.1023/B:JOMS.0000032843.52406.2f

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