User Centered Clinical Decision Support Tools

L.J. McCullagh; A. Sofianou; J. Kannry; D.M. Mann; T.G. McGinn

doi:10.4338/ACI-2014-05-RA-0048

Applied Clinical Informatics, Inhaltsverzeichnis

Appl Clin Inform 2014; 05(04): 1015-1025
DOI: 10.4338/ACI-2014-05-RA-0048

Research Article

Schattauer GmbH

User Centered Clinical Decision Support Tools

Adoption across Clinician Training Level

L.J. McCullagh

¹Department of Medicine, Division of Internal Medicine, Hofstra North Shore-LIJ School of Medicine, Manhasset, NY

,

A. Sofianou

²Department of Medicine, Division of General Internal Medicine, Mount Sinai School of Medicine, NYC, NY

,

J. Kannry

²Department of Medicine, Division of General Internal Medicine, Mount Sinai School of Medicine, NYC, NY

,

D.M. Mann

³Department of Medicine, Section of Preventive Medicine & Epidemiology, Boston University School of Medicine, Boston, MA

,

T.G. McGinn

¹Department of Medicine, Division of Internal Medicine, Hofstra North Shore-LIJ School of Medicine, Manhasset, NY

› Institutsangaben

Abstract

Summary

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.

Citation: McCullagh LJ, Sofianou A, Kannry J, Mann DM, McGinn TG. User centered clinical decision support tools: Adoption across clinician training level. Appl Clin Inf 2014; 5: 1015–1025

http://dx.doi.org/10.4338/ACI-2014-05-RA-0048

Keywords

Implementation science - evidence based medicine - clinical decision support - clinical prediction rules - primary care

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Referenzen

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