2005
DOI: 10.1111/j.1475-6773.2005.00439.x
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Assessing Quality of Diabetes Care by Measuring Longitudinal Changes in Hemoglobin A1c in the Veterans Health Administration

Abstract: 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 … Show more

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Cited by 30 publications
(20 citation statements)
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References 26 publications
(31 reference statements)
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“…To minimize any impact of difference in A1C methodologies, we eliminated medical centers that used A1C methodologies in fiscal year 2000 that were not certified by the National Glycohemoglobin Standardization Program as previously described (16). Although the Health Plan Employee Data and Information Set (HEDIS) measures for glycemic control count A1C not measured as being greater than the threshold value, we also excluded individuals at remaining medical centers who did not have laboratory tests performed in the VHA both to focus our study upon the influence of patient characteristics on glycemic control and because administrative data could not capture laboratory tests performed outside the VHA and recorded in progress notes.…”
Section: Data Sources and Cohort Identificationmentioning
confidence: 99%
“…To minimize any impact of difference in A1C methodologies, we eliminated medical centers that used A1C methodologies in fiscal year 2000 that were not certified by the National Glycohemoglobin Standardization Program as previously described (16). Although the Health Plan Employee Data and Information Set (HEDIS) measures for glycemic control count A1C not measured as being greater than the threshold value, we also excluded individuals at remaining medical centers who did not have laboratory tests performed in the VHA both to focus our study upon the influence of patient characteristics on glycemic control and because administrative data could not capture laboratory tests performed outside the VHA and recorded in progress notes.…”
Section: Data Sources and Cohort Identificationmentioning
confidence: 99%
“…In Exhibit 2, case-mix-adjusted glycosylated hemoglobin (HbA1c) values among veterans with diabetes decreased by -0.314 percent (range -1.90 to 1.03, p < 0.0001) over two years, indicating improved glycemic control over time, rather than simply the enrollment of healthier veterans. 15 These findings provide a convincing demonstration of effective diabetes care.…”
mentioning
confidence: 79%
“…Fourth, longitudinal modelling of hemoglobin A 1c in fixed cohorts can minimize biases inherent in estimating trends from cross-sectional data. 10 Finally, total costs should be evaluated, but only in the context of overall health outcomes.…”
Section: Key Pointsmentioning
confidence: 99%