Journal of Clinical Epidemiology
Volume 52, Issue 3 , Pages 199-207 , March 1999

The Use of Automated Data to Identify Complications and Comorbidities of Diabetes: A Validation Study

  • Katherine M. Newton

      Affiliations

    • Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, WA USA
    • Corresponding Author InformationAddress correspondence to: Dr. K. Newton, Group Health Cooperative of Puget Sound, Center for Health Studies, Suite 1600, 1730 Minor Avenue, Seattle, WA 98101
    • ,
  • Edward H. Wagner

      Affiliations

    • Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, WA USA
    • Department of Health Services, University of Washington, Seattle, WA USA
    • ,
  • Scott D. Ramsey

      Affiliations

    • Department of Health Services, University of Washington, Seattle, WA USA
    • Department of Medicine, University of Washington, Seattle, WA USA
    • ,
  • David McCulloch

      Affiliations

    • Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, WA USA
    • ,
  • Rhian Evans

      Affiliations

    • Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, WA USA
    • ,
  • Nirmala Sandhu

      Affiliations

    • Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, WA USA
    • ,
  • Connie Davis

      Affiliations

    • Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, WA USA

,Accepted 30 October 1998.

References 

  1. Guiss LS, Herman WH, Smith PJ. Mortality in non-insulin-dependent diabetes. In: Diabetes in America, 2nd Edition. Bethesda, MD: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 1995. NIH Publication No. 95-1468: 223–257.
  2. Selby JV. Linking automated databases for research in managed care settings. Ann Intern Med. 1997;127:719–724
  3. Young TK, Roos NP, Hammerstrand KM. Estimated burden of diabetes mellitus in Manitoba according to health insurance claims (A pilot study). CMAJ. 1991;144:318–324
  4. Psaty BM, Koepsell TD, Siscovick D, Wahl P, Logerfo JP, Inui TS, et al.  An approach to several problems in using large databases for population-based case-control studies of the therapeutic efficacy and safety of anti-hypertensive medicines. Stat Med. 1991;10:653–662
  5. Selby JV, Ray GT, Zhang D, Colby CJ. Excess costs of medical care for patients with diabetes in a managed care population. Diabetes Care. 1997;20:1396–1402
  6. Ives DG, Fitzpatrick AL, Bild DE, Psaty BM, Kuller LH, Crowley PM, et al.  Surveillance and ascertainment of cardiovascular events (The Cardiovascular Health study). Ann Epidemiol. 1995;5:278–285
  7. Greenfield S, Kaplan SH, Silliman RA, Sullivan L, Manning W, D’Agostino R, et al.  The uses of outcomes research for medical effectiveness, quality of care, and reimbursement in type II diabetes. Diabetes Care. 1994;17(Suppl. 1):32–39
  8. U.S. Department of Health and Human Services. International Classification of Diseases, 9th Rev. Clinical Modification. 2d Edition. Washington, DC: U.S. Department of Health and Human Services; 1980. DHHS Publication No. (PHS 80-1260).
  9. American Medical Association. Current Procedural Terminology (CPT95). 4th Edition. Chicago, IL: American Medical Association; 1994.
  10. Saunders KW, Stergachis A, VonKorff M. Group Health Cooperative of Puget Sound. In: Pharmacoepidemiology, 2nd Edition.. Chichester, NY: John Wiley; 1994;
  11. Iezzoni LI. Assessing quality using administrative data. Ann Intern Med. 1997;127:666–674
  12. Ray WA. Policy and program analysis using administrative databases. Ann Intern Med. 1997;127:712–718
  13. Assaf A, Lapane KL, McKenney JL, Carleton RA. Possible influence of the Prospective Payment System on the assignment of discharge diagnoses for coronary heart disease. N Engl J Med. 1993;329:931–935
  14. Hsia DC, Krushar WM, Fagan AB, Tebbutt JA, Kusserow RP. Accuracy of diagnostic coding for Medicare patients under the prospective-payment system. N Engl J Med. 1988;318:352–355

PII: S0895-4356(98)00161-9

Journal of Clinical Epidemiology
Volume 52, Issue 3 , Pages 199-207 , March 1999

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