Evidence map›Paper›PMID 40095947›Full record

ArticleMedical education online2025

Facilitators and barriers to implementing the Project ECHO model: perspectives of 8 ECHO implementation teams.

M Kathryn Allison, Cari A Bogulski, Hannah C McCoy, Rosario Silva, Corey J Hayes, Jennifer A Andersen, Hari Eswaran

Abstract read
In one paragraph

Article in Medical education online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

M Kathryn AllisonDepartment of Health Behavior and Health Education, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0001-6178-0352
Cari A BogulskiInstitute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Hannah C McCoyInstitute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Rosario SilvaInstitute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Corey J HayesInstitute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Jennifer A AndersenDepartment of Obstetrics and Gynecology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Hari EswaranInstitute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Funding

CTSA K12 Program at the University of Arkansas for Medical SciencesK12TR004924 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI Jason Eli Farrar, Joshua Kennedy · 2024 to 2026
$2.3M
NCATS NIH HHS K12 TR004924
6 · The paper itself

Abstract

backgroundProject ECHO has emerged as a leading telementoring modality for continuing medical education, particularly for providers practicing in rural and underserved areas with limited access to specialty care. The efficacy and utility of the ECHO model in healthcare training is well documented, though there is less literature focused on the determinants of ECHO implementation.

objectiveThis study aims to assess facilitators and barriers to implementing the ECHO model.

methodsWe conducted virtual focus groups with eight Project ECHO implementation teams (

resultsQualitative analysis revealed implementation determinants across CFIR levels. Participants recognized the advantage of ECHO's virtual, learner-centric, case-based learning approach compared to other continuing medical education modalities. Participants recommended recruiting subject matter expert presenters with skills as educators and understanding of the ECHO model. Because of Project ECHO's emphasis on case-based learning, participants highlighted the importance of balancing didactics with case presentations and discussion. Scheduling and finding time to participate was reported as a challenge for provider engagement, though most participants suggested that the length, frequency of sessions, and number of participants can be tailored for each program to accommodate needs. Providing CME credit and setting expectations for attendance and case presentation were said to improve provider engagement. Support and mentorship from the ECHO Institute was described as a facilitator in planning for ECHO implementation and delivery. Funding was reported as a barrier to sustainability.

conclusionBy addressing barriers prior to implementing the ECHO model, future ECHOs can be tailored to leverage program resources, maximize attendance, expand reach, and ultimately improve outcomes.

Indexed as

Education, Medical, ContinuingMentoringModels, EducationalFocus GroupsHumansMedically Underserved AreaQualitative ResearchTelemedicineUnited StatesimplementationProject ECHOqualitative researchtelementoringvirtual learning models

Identifiers

PMID40095947
PMCPMC11915725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.