Address correspondence to Monika M. Safford, M.D., Deep South Center on Effectiveness at the Birmingham VA Medical Center and, The University of Alabama at Birmingham, MT 643, 1717 11th Avenue South, Birmingham, AL 35294-4410. Wes Thompson, Ph.D., is with the Department of Statistics, University of Pittsburgh, Pittsburgh, PA. Hongwei Wang, Ph.D., Minge Xie, Ph.D., John Kolassa, Ph.D., Yehuda Vardi, Ph.D. (deceased), are with the Department of Statistics Hill Center, Busch Campus Rutgers, The State University of New Jersey, Piscataway, NJ. Mangala Rajan, M.B.A., Chin-Lin Tseng, Dr.P.H., Quanwu Zhang, Ph.D., Leonard Pogach, M.D., M.B.A., are with the Center for Healthcare Knowledge Management, VANJ Healthcare System, East Orange, NJ. Stephen Crystal, Ph.D., is with the Institute for Health, Healthcare Policy, & Aging Research, Rutgers University, New Brunswick, NJ.
Assessing Quality of Diabetes Care by Measuring Longitudinal Changes in Hemoglobin A1c in the Veterans Health Administration
Article first published online: 26 JUL 2005
Health Services Research
Volume 40, Issue 6p1, pages 1818–1835, December 2005
How to Cite
Thompson, W., Wang, H., Xie, M., Kolassa, J., Rajan, M., Tseng, C.-L., Crystal, S., Zhang, Q., Vardi, Y., Pogach, L. and Safford, M. M. (2005), Assessing Quality of Diabetes Care by Measuring Longitudinal Changes in Hemoglobin A1c in the Veterans Health Administration. Health Services Research, 40: 1818–1835. doi: 10.1111/j.1475-6773.2005.00439.x
The first three authors contributed equally to this paper.
- Issue published online: 26 JUL 2005
- Article first published online: 26 JUL 2005
- longitudinal analysis;
- quality of care;
- glycemic control;
- performance measures
Context. A1c levels are widely used to assess quality of diabetes care provided by health care systems. Currently, cross-sectional measures are commonly used for such assessments.
Objective. To study within-patient longitudinal changes in A1c levels at Veterans Health Administration (VHA) facilities as an alternative to cross-sectional measures of quality of diabetes care.
Design. Longitudinal study using institutional data on individual patient A1c level over time (October 1, 1998–September 30, 2000) with time variant and invariant covariates.
Setting. One hundred and twenty-five VHA facilities nationwide, October 1, 1998–September 30, 2000.
Patients. Diabetic veteran users with A1c measurement performed using National Glycosylated Hemoglobin Standardization Project certified A1c lab assay methods.
Exposures. Characteristics unlikely to reflect quality of care, but known to influence A1c levels, demographics, and baseline illness severity.
Main Outcome Measure. Monthly change in A1c for average patient cared for at each facility.
Results. The preponderance of facilities showed monthly declines in within-patient A1c over the study period (mean change of −0.0148 A1c units per month, range −0.074 to 0.042). Individual facilities varied in their monthly change, with 105 facilities showing monthly declines (70 significant at .05 level) and 20 showing monthly increases (5 significant at .05 level). Case-mix adjustment resulted in modest changes (mean change of −0.0131 case-mix adjusted A1c units per month, range −0.079 to 0.043). Facilities were ranked from worst to best, with attached 90 percent confidence intervals. Among the bottom 10 ranked facilities, four remained within the bottom decile with 90 percent confidence.
Conclusions. There is substantial variation in facility-level longitudinal changes in A1c levels. We propose that evaluation of change in A1c levels over time can be used as a new measure to reflect quality of care provided to populations of individuals with chronic disease.