User-Centered Clinical Decision Support Tools – Adoption Across Clinician Training Level

Discusses how there is variation in the adoption of CDS tools across training levels. Attendings tended to accept the tool-less but ordered more medications. CDS tools should be tailored to clinicians' training levels.

  • Authors
  • Anastasia Sofianou
  • Devin M. Mann
  • Joseph Kannry
  • Lauren McCullagh
  • Thomas McGinn
  • Published
  • Applied Clinical Informatics

Abstract

Background

Dissemination and adoption of clinical decision support (CDS) tools is a major initiative of the Affordable Care Act’s Meaningful Use program. Adoption of CDS tools is multipronged with personal, organizational, and clinical settings factoring into the successful utilization rates. Specifically, the diffusion of innovation theory implies that ‘early adopters’ are more inclined to use CDS tools and younger physicians tend to be ranked in this category.

Objective

This study examined the differences in adoption of CDS tools across providers’ training level.

Participants

From November 2010 to 2011, 168 residents and attendings from an academic medical institution were enrolled into a randomized controlled trial.

Intervention

The intervention arm had access to the CDS tool through the electronic health record (EHR) system during strep and pneumonia patient visits.

Main measures

The EHR system recorded details on how intervention arm interacted with the CDS tool including acceptance of the initial CDS alert, completion of risk-score calculators and the signing of medication order sets. Using the EHR data, the study performed bivariate tests and general estimating equation (GEE) modeling to examine the differences in adoption of the CDS tool across residents and attendings.

Key results

The completion rates of the CDS calculator and medication order sets were higher amongst first year residents compared to all other training levels. Attendings were the less likely to accept the initial step of the CDS tool (29.3%) or complete the medication order sets (22.4%) that guided their prescription decisions, resulting in attendings ordering more antibiotics (37.1%) during an CDS encounter compared to residents.

Conclusion

There is variation in adoption of CDS tools across training levels. Attendings tended to accept the tool less but ordered more medications. CDS tools should be tailored to clinicians’ training levels.

  • Keywords
  • Clinical Decision Support
  • Clinical Prediction Rules
  • Evidence Based Medicine
  • Implementation Science
  • Primary Care