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Cited by 425

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Who Has Diabetes? Best Estimates of Diabetes Prevalence in the Department of Veterans Affairs Based on Computerized Patient Data

Open access
Miller, Donald R., Safford, Monika M., Pogach, Leonard M.·2004·Diabetes Care

Abstract

OBJECTIVE—To optimize methods for identifying patients with diabetes based on computerized records and to obtain best estimates of diabetes prevalence in Department of Veterans Affairs (VA) patients. RESEARCH DESIGN AND METHODS—The VA Diabetes Epidemiology Cohort (DEpiC) is a linked national database of all VA patients since 1998 with data from VA medical visits, Medicare claims, pharmacy and laboratory records, and patient surveys. Using DEpiC, we examined concordance of diabetes indicators, including ICD-9-CM codes (250.xx), prescription drug treatment, HbA1c tests, and patient self-report. We determined the optimal criterion for identifying diabetes and used it in estimating diabetes prevalence in the VA. RESULTS—The best criterion was a prescription for a diabetes medication in the current year and/or 2+ diabetes codes from inpatient and/or outpatient visits (VA and Medicare) over a 24-month period. This definition had high sensitivity (93%) and specificity (98%) against patient self-report, and reasonable rates of HbA1c testing (75%). HbA1c testing alone added few additional cases, and a single diagnostic code added many patients, but without confirmation (reduced specificity). However, including codes from Medicare was critical. Applying this definition for 1998–2000, we identified an average of 500,000 VA patients with diabetes per year. We also estimated high and increasing diabetes prevalence rates of 16.7% in FY1998, 18.6% in FY1999, and 19.6% in FY2000 and an incidence estimated to be ∼2% per year. CONCLUSIONS—Development and evaluation of methodology for analyzing computerized patient data can improve the identification of patients with diabetes. The increasing high prevalence of diabetes in VA patients will present challenges for clinicians and health system management.

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Metadata

Authors
Miller, D. R., Safford, M. M., & Pogach, L. M.
Venue
Diabetes Care
Published
2004-05-01
Volume
27
Issue
suppl_2
Pages
b10-b21
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2033136851
Cited by
425
References
35
FWCI
45.98
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Who Has Diabetes? Best Estimates of Diabetes Prevalence in the Department of Veterans Affairs Based on Computerized Patient Data. https://app.cochat.ai/papers/10.2337/diacare.27.suppl_2.b10
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Miller, D. R., Safford, M. M., & Pogach, L. M. (2004). Who Has Diabetes? Best Estimates of Diabetes Prevalence in the Department of Veterans Affairs Based on Computerized Patient Data. Diabetes Care. https://doi.org/10.2337/diacare.27.suppl_2.b10

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