Impact of four training conditions on physician use of a web-based clinical decision support system

  • Authors:
  • Edith Kealey;Emily Leckman-Westin;Molly T. Finnerty

  • Affiliations:
  • -;-;-

  • Venue:
  • Artificial Intelligence in Medicine
  • Year:
  • 2013

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Abstract

Background: Training has been identified as an important barrier to implementation of clinical decision support systems (CDSSs), but little is known about the effectiveness of different training approaches. Methods: Using an observational retrospective cohort design, we examined the impact of four training conditions on physician use of a CDSS: (1) computer lab training with individualized follow-up (CL-FU) (n=40), (2) computer lab training without follow-up (CL) (n=177), (3) lecture demonstration (LD) (n=16), or (4) no training (NT) (n=134). Odds ratios of any use and ongoing use under training conditions were compared to no training over a 2-year follow-up period. Results: CL-FU was associated with the highest percent of active users and odds for any use (90.0%, odds ratio (OR)=10.2, 95% confidence interval (CI): 3.2-32.9) and ongoing use (60.0%, OR=6.1 95% CI: 2.6-13.7), followed by CL (any use=81.4%, OR=5.3, CI: 2.9-9.6; ongoing use=28.8%, OR=1.7, 95% CI: 1.0-3.0). LD was not superior to no training (any use=47%, ongoing use=22.4%). Conclusion: Training format may have differential effects on initial and long-term follow-up of CDSSs use by physicians.