4.7 Article

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

Journal

ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume 59, Issue 1, Pages 39-44

Publisher

ELSEVIER
DOI: 10.1016/j.artmed.2013.03.003

Keywords

Clinical decision support system (CDSS); Generalized linear multilevel model (GLMM); Health information technology (HIT); Physician computer training

Funding

  1. New York State Office of Mental Health
  2. National Alliance for Research on Schizophrenia and Depression

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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. (C) 2013 Elsevier B.V. All rights reserved.

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