Presentation Event Entity Entity Process Occurrent Occurrent 2025-06-24T07:40:35 RDF description of EMR-based clinical decision support system improved glucose and blood pressure control in adults with diabetes [presentation] - http://repository.healthpartners.com/individual/document-rn33991 2023-09-30T20:36:00.593-05:00 21726 Medical Records Systems, Computerized document-rn33991 37332 Clinical Decision Support Systems public HMO Research Network (HMORN) 15th Annual Conference: Clinical Effectiveness: Leadership in Comparative Effectiveness and Translational Research <p><b>Objectives: </b> An EMR-based diabetes clinical decision support significantly improved glucose control and BP control in adults with type 2 diabetes who were not at recommended clinical goals. To assess the impact of an EMR-based diabetes clinical decision support system on control of glycated hemoglobin (A1c), blood pressure (BP) and LDL-Cholesterol (LDL) in adults with diabetes.<br> <b>Design, Setting, and Participants: </b> The study was conducted from October 2006 to May 2007 in Minnesota. Eleven clinics with 41 consenting primary care physicians (PCP) and these physicians� 2556 diabetes patients were randomized either to receive or not to receive an EMR-based clinical decision support system designed to improve A1c, BP, and LDL in diabetes patients not at recommended clinical goals at the time of an office visit.<br> <b>Main Outcome Measures: </b> Post-intervention levels of A1c, BP, and LDL controlling for pre-intervention levels.<br> <b>Results: </b> Intervention group PCPs used the EMR-based decision support system at over 62.6% of all diabetes patient visits, and intensified drug therapy at 61.9%, 43.6% and 18.8% of visits with uncontrolled A1c, BP, and lipids, respectively. Intervention group diabetes patients had significantly better A1c (p=.014) and SBP (p=.035) but not LDL (p=.63) relative to patients of PCPs randomized to the control arm of the study based on general linear mixed models with a repeated time measurement to control for clustering. Additional analytic models that adjusted for patient age, gender, and comorbidity showed similar results. Ninety-four percent of PCPs expressed satisfaction with the intervention, and moderate rates of use persisted for over a year after withdrawal of<br>feedback and incentives to encourage use.<br> <b>Conclusions: </b><p> EMR-based clinical decision support system improved glucose and blood pressure control in adults with diabetes [presentation] Diabetes presentation Randomized Controlled Trials