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Safford MM, Brimacombe M, Zhang Q, et al. Patient complexity in quality comparisons for glycemic control: an observational study. Implement Sci. 2009;4:2doi: 10.1186/1748-5908-4-2.
Safford, M. M., Brimacombe, M., Zhang, Q., Rajan, M., Xie, M., Thompson, W., Kolassa, J., Maney, M., & Pogach, L. (2009). Patient complexity in quality comparisons for glycemic control: an observational study. Implementation science : IS, 42. https://doi.org/10.1186/1748-5908-4-2
Safford, Monika M, et al. "Patient complexity in quality comparisons for glycemic control: an observational study." Implementation science : IS vol. 4 (2009): 2. doi: https://doi.org/10.1186/1748-5908-4-2
Safford MM, Brimacombe M, Zhang Q, Rajan M, Xie M, Thompson W, Kolassa J, Maney M, Pogach L. Patient complexity in quality comparisons for glycemic control: an observational study. Implement Sci. 2009 Jan 06;4:2. doi: 10.1186/1748-5908-4-2. PMID: 19126229; PMCID: PMC2632611.
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Implement Sci. 2009 Jan 06;4:2. doi: 10.1186/1748-5908-4-2.

Patient complexity in quality comparisons for glycemic control: an observational study.

Implementation science : IS

Monika M Safford, Michael Brimacombe, Quanwu Zhang, Mangala Rajan, Minge Xie, Wesley Thompson, John Kolassa, Miriam Maney, Leonard Pogach

Affiliations

  1. Deep South Center on Effectiveness at Birmingham VA Medical Center and University of Alabama at Birmingham, Birmingham, AL, USA. [email protected]

PMID: 19126229 PMCID: PMC2632611 DOI: 10.1186/1748-5908-4-2

Abstract

BACKGROUND: Patient complexity is not incorporated into quality of care comparisons for glycemic control. We developed a method to adjust hemoglobin A1c levels for patient characteristics that reflect complexity, and examined the effect of using adjusted A1c values on quality comparisons.

METHODS: This cross-sectional observational study used 1999 national VA (US Department of Veterans Affairs) pharmacy, inpatient and outpatient utilization, and laboratory data on diabetic veterans. We adjusted individual A1c levels for available domains of complexity: age, social support (marital status), comorbid illnesses, and severity of disease (insulin use). We used adjusted A1c values to generate VA medical center level performance measures, and compared medical center ranks using adjusted versus unadjusted A1c levels across several thresholds of A1c (8.0%, 8.5%, 9.0%, and 9.5%).

RESULTS: The adjustment model had R2 = 8.3% with stable parameter estimates on thirty random 50% resamples. Adjustment for patient complexity resulted in the greatest rank differences in the best and worst performing deciles, with similar patterns across all tested thresholds.

CONCLUSION: Adjustment for complexity resulted in large differences in identified best and worst performers at all tested thresholds. Current performance measures of glycemic control may not be reliably identifying quality problems, and tying reimbursements to such measures may compromise the care of complex patients.

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