Short Report: Care Delivery
Can computerized clinical decision support systems improve diabetes management? A systematic review and meta-analysis
Article first published online: 28 FEB 2013
© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK
Volume 30, Issue 6, pages 739–745, June 2013
How to Cite
Diabet. Med. 30, 739–745 (2013)
- Issue published online: 19 MAY 2013
- Article first published online: 28 FEB 2013
- Accepted manuscript online: 1 DEC 2012 09:58AM EST
- Manuscript Accepted: 27 NOV 2012
- Manuscript Revised: 10 OCT 2012
- Manuscript Received: 12 JUL 2012
To systematically review randomized trials that assessed the effects of computerized clinical decision support systems in ambulatory diabetes management compared with a non-computerized clinical decision support system control.
We included all diabetes trials from a comprehensive computerized clinical decision support system overview completed in January 2010, and searched EMBASE, MEDLINE, INSPEC/COMPENDEX and Evidence-Based Medicine Reviews (EBMR) from January 2010 to April 2012. Reference lists of related reviews, included articles and Clinicaltrials.gov were also searched. Randomized controlled trials of patients with diabetes in ambulatory care settings comparing a computerized clinical decision support system intervention with a non-computerized clinical decision support system control, measuring either a process of care or a patient outcome, were included. Screening of studies, data extraction, risk of bias and quality of evidence assessments were carried out independently by two reviewers, and discrepancies were resolved through consensus or third-party arbitration. Authors were contacted for any missing data.
Fifteen trials were included (13 from the previous review and two from the current search). Only one study was at low risk of bias, while the others were of moderate to high risk of bias because of methodological limitations. HbA1c (3 months' follow-up), quality of life and hospitalization (12 months' follow-up) were pooled and all favoured the computerized clinical decision support systems over the control, although none were statistically significant. Triglycerides and practitioner performance tended to favour computerized clinical decision support systems although results were too heterogeneous to pool.
Computerized clinical decision support systems in diabetes management may marginally improve clinical outcomes, but confidence in the evidence is low because of risk of bias, inconsistency and imprecision.