Evidence map›Paper›PMID 35875020›Full record

ArticleFrontiers in public health2022

Community Case Study: The Role of Live-Interactive Learning Network in Addressing Community Wide Information Needs Through Show-Me COVID-19 ECHO.

Mirna Becevic, Melissa Warne-Griggs, Emmanuelle Wallach, Karen Edison, Rachel Mutrux, Jane A McElroy, Albert Hsu, Chi-Ren Shyu, Robin Trotman, Kimberly Hoffman

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mirna BecevicDepartment of Dermatology, University of Missouri, Columbia, MO, United States.
Melissa Warne-GriggsMissouri Telehealth Network, University of Missouri, Columbia, MO, United States.
Emmanuelle WallachMissouri Telehealth Network, University of Missouri, Columbia, MO, United States.
Karen EdisonDepartment of Dermatology, University of Missouri, Columbia, MO, United States.
Rachel MutruxMissouri Telehealth Network, University of Missouri, Columbia, MO, United States.
Jane A McElroyFamily and Community Medicine, University of Missouri, Columbia, MO, United States.
Albert HsuDepartment of Obstetrics, Gynecology, and Women's Health, University of Missouri, Columbia, MO, United States.
Chi-Ren ShyuInstitute for Data Science and Informatics, Columbia, MO, United States.
Robin TrotmanInfectious Disease, CoxHealth Center, Springfield, MO, United States.
Kimberly HoffmanFamily and Community Medicine, University of Missouri, Columbia, MO, United States.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

After the COVID-19 pandemic reached Missouri, the Show-Me ECHO (Extension for Community Healthcare Outcomes) project initiated COVID-19 ECHO virtual knowledge-sharing networking sessions. These live-interactive weekly sessions inform participants about up-to-date evidence-based recommendations and guidelines through expert didactic lectures followed by real-life case discussions. We conducted a qualitative analysis of pre-session surveys and questions asked during sessions to learn about information needs of community members during first months of public health emergency. This was a pilot project using qualitative analysis of registration questions regarding anticipated COVID-19 community information needs, and participants' questions asked during sessions collected from March 23 until May 4, 2020. We also analyzed participants' satisfaction surveys collected in December 2020. A total of 761 unique participants attended COVID-19 ECHO during the study period. Survey was completed by 692 respondents. Participants asked 315 questions resulting in 797 identified community information needs. Five thematic categories were recognized: patient care, information seeking, minimizing exposure, financial themes, and general comments. Most attendees rated content quality, logistics, and technical operations as good or excellent on a five-point Likert scale. The COVID-19 ECHO model was responsive to the needs of participants by sharing and discussing up-to-date recommendations and guidelines regarding COVID-19. Sessions were well-attended, and the didactic presenters were invited to deliver same or similar presentations at Boone County Medical Society (BCMS) weekly seminars, suggesting the value of the project to healthcare providers and other community members caring for or working with the most vulnerable populations.

Indexed as

COVID-19Simulation TrainingHealth PersonnelHumansPandemicsPilot Projectscontinuing medical educationCOVID-19project ECHOtelehealthvirtual learning networks

Identifiers

PMID35875020
PMCPMC9298867

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.