Project ECHO Chronic Pain: A Qualitative Analysis of Recommendations by Expert Faculty and the Process of Knowledge Translation.

J Contin Educ Health Prof

Dr. Thies: PhD, Researcher, Weitzman Institute, Community Health Center, Inc., Middletown, CT. Dr. Anderson: MD, VP/Chief Quality Officer, Weitzman Institute, Community Health Center, Inc., Middletown, CT. Dr. Beals-Reid: MD, Resident, Yale New Haven Hospital, New Haven, CT.

Published: May 2020

Introduction: Previous studies of the same Project ECHO Chronic Pain cohort demonstrated that recommendations to primary care providers (PCPs) by expert faculty follow CDC Guidelines for Prescribing Opioids and that participating PCPs change their practice accordingly. The purpose of this study was to identify how expert faculty translates knowledge, so that PCPs can act on it.

Methods: One hundred ninety-seven PCPs from 82 practices in 14 states attended at least one Project ECHO Chronic Pain session over 10 months, hosted by a large federally qualified health center. Expert faculty was a multidisciplinary panel of six clinicians. Recommendations for 25 randomly selected case presentations were transcribed, yielding 406 discrete units of data. A thematic analysis contributed to a concept map for knowledge translation.

Results: Expert faculty addressed psychosocial issues in 40% of recommendations. Three themes represented a familiar clinical decision-making process: recommendations for treatment accounted for risk factors and patient engagement and behavior. A concept map placed the recommendations for selected cases in the first phase of the action cycle in the Knowledge-to-Action framework, where knowledge is shared but not yet acted on.

Discussion: Project ECHO Chronic Pain is an example of iterative guided practice, wherein expert faculty use published guidelines and professional experience to make recommendations for patient care to PCPs. This occurs using shared social-cultural-historical language and context consistent with social constructivist theories of learning.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727959PMC
http://dx.doi.org/10.1097/CEH.0000000000000264DOI Listing

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