BACKGROUND: Whether a public reporting measure for glycosylated hemoglobin (A1C) of less than 7% should apply to all persons with diabetes mellitus is a matter of ongoing controversy. OBJECTIVE: To evaluate the effect of excluding persons with major medical or mental health conditions on assessment of healthcare system performance in achieving an A1C level of less than 7%. DESIGN AND SETTING: Retrospective longitudinal administrative data analysis from 144 Veterans Health Administration medical centers. SUBJECTS: Veterans with diabetes mellitus younger than 65 years who were users of Veterans Health Administration healthcare in fiscal years 1999 and 2000. MAJOR OUTCOME VARIABLES: The proportions, 5-year mortality, and glycemic control of individuals with and without major comorbid conditions, as well as changes in league table rankings of facilities achieving an A1C threshold of less than 7% with and without the inclusion of seriously ill individuals. RESULTS: There were 220 922 subjects identified from 144 facilities. We identified 75 296 individuals (mean +/- SD facility range of excluded individuals, 33.3% +/- 5.3%) with conditions that would decrease the benefits or increase risks of glycemic control. The 5-year unadjusted mortality was 36.0% in 48 001 subjects (21.7%) excluded for major medical or neurological conditions, 14.9% in 17 515 subjects (7.9%) excluded for major mental health conditions, and 16.5% in 9780 subjects (4.4%) excluded for 2 or more other serious comorbid medical or psychological conditions, compared with 8.8% in the remaining subjects. A comparison of industry league table rankings indicated that 20% of the best and worse facilities changed 1 decile when ranking using exclusion criteria. CONCLUSION: One in 3 veterans has comorbid conditions that would increase the risks or decrease the benefits of intensive glycemic control. We propose that a public reporting measure for A1C of less than 7% be subjected to exclusion criteria rather than be applied to all persons with diabetes mellitus.
BACKGROUND: Whether a public reporting measure for glycosylated hemoglobin (A1C) of less than 7% should apply to all persons with diabetes mellitus is a matter of ongoing controversy. OBJECTIVE: To evaluate the effect of excluding persons with major medical or mental health conditions on assessment of healthcare system performance in achieving an A1C level of less than 7%. DESIGN AND SETTING: Retrospective longitudinal administrative data analysis from 144 Veterans Health Administration medical centers. SUBJECTS: Veterans with diabetes mellitus younger than 65 years who were users of Veterans Health Administration healthcare in fiscal years 1999 and 2000. MAJOR OUTCOME VARIABLES: The proportions, 5-year mortality, and glycemic control of individuals with and without major comorbid conditions, as well as changes in league table rankings of facilities achieving an A1C threshold of less than 7% with and without the inclusion of seriously ill individuals. RESULTS: There were 220 922 subjects identified from 144 facilities. We identified 75 296 individuals (mean +/- SD facility range of excluded individuals, 33.3% +/- 5.3%) with conditions that would decrease the benefits or increase risks of glycemic control. The 5-year unadjusted mortality was 36.0% in 48 001 subjects (21.7%) excluded for major medical or neurological conditions, 14.9% in 17 515 subjects (7.9%) excluded for major mental health conditions, and 16.5% in 9780 subjects (4.4%) excluded for 2 or more other serious comorbid medical or psychological conditions, compared with 8.8% in the remaining subjects. A comparison of industry league table rankings indicated that 20% of the best and worse facilities changed 1 decile when ranking using exclusion criteria. CONCLUSION: One in 3 veterans has comorbid conditions that would increase the risks or decrease the benefits of intensive glycemic control. We propose that a public reporting measure for A1C of less than 7% be subjected to exclusion criteria rather than be applied to all persons with diabetes mellitus.
Authors: Donna M Zulman; Steven M Asch; Susana B Martins; Eve A Kerr; Brian B Hoffman; Mary K Goldstein Journal: J Gen Intern Med Date: 2013-10-01 Impact factor: 5.128
Authors: Joseph V Selby; Connie S Uratsu; Bruce Fireman; Julie A Schmittdiel; Tiffany Peng; Nicolas Rodondi; Andrew J Karter; Eve A Kerr Journal: Med Care Date: 2009-04 Impact factor: 2.983