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Facilitating Real-Time, Multidirectional Learning for Clinicians in a Low-Evidence Pandemic Response

Published online by Cambridge University Press:  21 September 2022

Richard C Hunt
Affiliation:
Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response, Washington, DC, USA
Sofia P Braunstein
Affiliation:
Deloitte Consulting LLP, Washington, DC, USA
Lauren Cuddy Egbert
Affiliation:
Deloitte Consulting LLP, Washington, DC, USA
Katherine A Gorbach*
Affiliation:
Deloitte Consulting LLP, Washington, DC, USA
Monisha Rao
Affiliation:
Deloitte Consulting LLP, Washington, DC, USA
Jonathan D Pearson
Affiliation:
Strategy 4ward Consulting LLC, West Milton, OH, USA
Amy J Armistad
Affiliation:
University of New Mexico, Albuquerque, NM, USA
Sanjeev Arora
Affiliation:
University of New Mexico, Albuquerque, NM, USA
Celine A Bennett
Affiliation:
University of New Mexico, Albuquerque, NM, USA
Amanda M Dezan
Affiliation:
University of New Mexico, Albuquerque, NM, USA
Jack Herrmann
Affiliation:
Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response, Washington, DC, USA
John T Redd
Affiliation:
Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response, Washington, DC, USA
B. Tilman Jolly
Affiliation:
Aveshka Inc., Vienna, VA, USA
Jon R Krohmer
Affiliation:
USDOT, US Department of Transportation, National Highway Traffic Safety Administration, Office of EMS, Washington, DC, USA
Bruce B Struminger
Affiliation:
University of New Mexico, Albuquerque, NM, USA
*
Corresponding author: Katherine Anne Gorbach, Email: kgorbach@deloitte.com
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Abstract

As COVID-19 was declared a health emergency in March 2020, there was immense demand for information about the novel pathogen. This paper examines the clinician-reported impact of Project ECHO COVID-19 Clinical Rounds on clinician learning. Primary sources of study data were Continuing Medical Education (CME) Surveys for each session from the dates of March 24, 2020 to July 30, 2020 and impact surveys conducted in November 2020, which sought to understand participants’ overall assessment of sessions. Quantitative analyses included descriptive statistics and Mann-Whitney testing. Qualitative data were analyzed through inductive thematic analysis. Clinicians rated their knowledge after each session as significantly higher than before that session. 75.8% of clinicians reported they would ‘definitely’ or ‘probably’ use content gleaned from each attended session and clinicians reported specific clinical and operational changes made as a direct result of sessions. 94.6% of respondents reported that COVID-19 Clinical Rounds helped them provide better care to patients. 89% of respondents indicated they ‘strongly agree’ that they would join ECHO calls again.COVID-19 Clinical Rounds offers a promising model for the establishment of dynamic peer-to-peer tele-mentoring communities for low or no-notice response where scientifically tested or clinically verified practice evidence is limited.

Information

Type
Concepts in Disaster Medicine
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.
Figure 0

Table 1. Average participant counts by session type (March 24, 2020 through July 30, 2020)

Figure 1

Table 2. Additional data sources

Figure 2

Table 3. Self-reported knowledge before and after COVID-19 Clinical Rounds sessions

Figure 3

Table 4. Reported intended uses of COVID-19 Clinical Rounds sessions by type (March 24 – July 30)

Figure 4

Table 5. Reported barriers to use of session information (March 24 – July 30)

Figure 5

Table 6. Changed clinical practices (reported November of 2020)

Figure 6

Table 7. Changed operational practices (reported November of 2020)

Figure 7

Figure 1. The project ECHO model.

Figure 8

Figure 2. Improved patient care (reported November of 2020).

Figure 9

Figure 3. Willingness to join ECHO clinical rounds in future (reported November of 2020).