Impact of electronic health record clinical decision support on diabetes care: A randomized trial

Patrick J. O'Connor, Jo Ann M. Sperl-Hillen, William A. Rush, Paul E. Johnson, Gerald H. Amundson, Stephen E. Asche, Heidi L. Ekstrom, Todd P. Gilmer

Research output: Contribution to journalArticlepeer-review

159 Scopus citations

Abstract

PURPOSE We wanted to assess the impact of an electronic health record-based diabetes clinical decision support system on control of hemoglobin A1c (glycated hemoglobin), blood pressure, and low-density lipoprotein (LDL) cholesterol levels in adults with diabetes. METHODS We conducted a clinic-randomized trial conducted from October 2006 to May 2007 in Minnesota. Included were 11 clinics with 41 consenting primary care physicians and the physicians' 2,556 patients with diabetes. Patients were randomized either to receive or not to receive an electronic health record (EHR)- based clinical decision support system designed to improve care for those patients whose hemoglobin A1c, blood pressure, or LDL cholesterol levels were higher than goal at any office visit. Analysis used general and generalized linear mixed models with repeated time measurements to accommodate the nested data structure. RESULTS The intervention group physicians used the EHR-based decision support system at 62.6% of all office visits made by adults with diabetes. The intervention group diabetes patients had significantly better hemoglobin A1c (intervention effect -0.26%; 95% confidence interval, -0.06% to -0.47%; P =.01), and better maintenance of systolic blood pressure control (80.2% vs 75.1%, P =.03) and borderline better maintenance of diastolic blood pressure control (85.6% vs 81.7%, P =.07), but not improved low-density lipoprotein cholesterol levels (P =.62) than patients of physicians randomized to the control arm of the study. Among intervention group physicians, 94% were satisfied or very satisfied with the intervention, and moderate use of the support system persisted for more than 1 year after feedback and incentives to encourage its use were discontinued. CONCLUSIONS EHR-based diabetes clinical decision support significantly improved glucose control and some aspects of blood pressure control in adults with type 2 diabetes.

Original languageEnglish (US)
Pages (from-to)12-21
Number of pages10
JournalAnnals of family medicine
Volume9
Issue number1
DOIs
StatePublished - 2011

Keywords

  • Blood pressure control
  • Diabetes mellitus
  • Electronic health records
  • Glucose control
  • Primary health care
  • Quality improvement
  • Quality of health care
  • Randomized trial

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