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© 2001 by the American Diabetes Association, Inc.
Clinical Care/Education/Nutrition |
Applying the Diabetes Quality Improvement Project Indicators in the Indian Health Service Primary Care Setting
From the Indian Health Service National Diabetes Program (K.J.A., L.V.), Albuquerque, New Mexico; the Portland Area Diabetes Program (R.S.), Bellingham, Washington; the Northern Minnesota Diabetes Center (S.R.-N.), Cass Lake, Minnesota; the Oklahoma Area Indian Health Service (B.T.), Oklahoma City, Oklahoma; the Alaska Native Medical Center (J.K.), Anchorage, Alaska; the Billings Area Indian Health Service (K.M.), Billings, Montana; and the Department of Family and Community Medicine (B.S.), University of New Mexico, Albuquerque, New Mexico.
Address correspondence and reprint requests to Kelly J. Acton, MD, MPH, Indian Health Service National Diabetes Program, 5300 Homestead Rd., N.E., Albuquerque, NM 87110. E-mail: kelly.acton{at}mail.ihs.gov .
OBJECTIVE— With publication of the Diabetes Quality Improvement Project (DQIP) measures, the Indian Health Service National Diabetes Program applied the DQIP format to its IHS Diabetes Care and Outcomes Audit for comparison and benchmarks.
RESEARCH DESIGN AND METHODS— Since 1986 the IHS Diabetes Care and Outcomes Audit has been conducted by medical record review in >75% of IHS and tribal facilities. Each year systematic random sample of charts is drawn from local diabetes registries. Chart reviews are conducted by trained professionals according to standard definitions and instructions. Abstracted data are entered into a microcomputer-based epidemiologic software package. Local, regional, and national rates are constructed for each item. During the period 1995-1997, 150 facilities submitted data for compilation, representing participation from all 12 IHS administrative regions. The IHS Diabetes Care and Outcomes Audit collected virtually all of the DQIP measures, with the exception of LDL cholesterol (which was added to the record review in 1998).
RESULTS— In 1995, 1996, and 1997, a total of 9,557, 9,985, and 9,626 individuals, respectively, were included in the total IHS audit sample. The reviews for 1995, 1996, and 1997 revealed that of all subjects: 55, 65, and 80%, respectively, had more than one HbA1c test during the year (P < 0.001); 42, 38, and 34%, respectively, had a high-risk HbA1c (>9.5%) (P < 0.001); 83, 81, and 84%, respectively, were tested for macroproteinuria (P < 0.11) and 16, 17, and 23%, respectively, were tested for microproteinuria (P < 0.001); total cholesterol was assessed in 80, 81, and 85%, respectively (P < 0.001), and corresponding proportions of those with values <5.17 mmol/l were 48, 50, and 52%, respectively; triglyceride values were measured for 75, 75, and 80%, respectively (P < 0.001), and the corresponding median triglyceride levels were 199, 198, and 193 mg/dl, respectively (P < 0.001); the proportion of clients with a blood pressure < 140/90 mmHg was 64, 64, and 66%, respectively (P < 0.05); 55, 56, and 55%, respectively, had a dilated eye exam (P < 0.053); and the proportion of clients who had a comprehensive foot exam were 59, 59, and 61%, respectively (P < 0.05).
CONCLUSIONS— The DQIP accountability and quality improvement measures could be easily applied to the IHS Diabetes Care and Outcomes Audit, and the process can prove to be practical. However, data alone are not sufficient to effect change. Use of the measures to ensure that the quality of care improves must also be stressed, because measuring alone will not guarantee such improvement.
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