Cross-sectional versus sequential quality indicators of risk factor management in patients with type 2 diabetes Voorham, Jaco; Denig, Petra; Wolffenbuttel, Bruce H. R.; Haaijer-Ruskamp, Flora M.
CopyrightOther than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Results: According to the reference method, 76% of the patients received management as recommended for glycemic control, 58% for blood pressure control, and 67% for lipid control. Cross-sectional indicators looking at patients adequately controlled gave estimates that were 10 -25% lower than the reference method.Estimates from indicators focusing on uncontrolled patients receiving treatment were 10 -40% higher than the reference method for blood pressure and glycemic control. Sequential indicators focusing on improvement in clinical outcomes or assessing treatment modifications in response to poor control gave results closer to the reference method. Conclusions: Sequential indicators are valuable for estimating quality of risk factor management in patients with diabetes. Such indicators may provide a more accurate and fair judgment than currently used cross-sectional indicators.Key Words: quality indicators health care, diabetes mellitus, quality of health care, outcome and process assessment (health care) (Med Care 2008;46: 133-141) Q uality of diabetes care has received a lot of attention over the past decade, and room for improvement of glycemic, blood pressure, and lipid management has repeatedly been shown. [1][2][3][4][5][6] There is, however, debate about the fairness of indicators used to assess quality of care, especially for external accountability. [7][8][9][10] Many studies looking at quality of care use a cross-sectional approach where processes and outcomes of care are measured at one point in time. [2][3][4][5][6][11][12][13] This approach may be limited, because it does not take the longitudinal nature of chronic patient care into account. One study showed that, although quality of care may seem to improve over time using cross-sectional assessments, a longitudinal approach can show that specific patient groups are not benefiting.9 There are also discrepancies between indicators based on process and outcome measures. It has been shown that only looking at outcomes of care can result in an inaccurate view.14,15 Such indicators do not differentiate between patients receiving suboptimal care and patients that are difficult to manage or noncompliant. Therefore, th...