Evidence map›Paper›PMID 37561083›Full record

ArticleInternational journal of circumpolar health2023

Use of the Extension for Community Health Outcomes (ECHO) model for public health emergency response in Alaska.

Erinn Barnett, Jessica J Harvill, Nathan J Rabang

Open access · goldAbstract read
In one paragraph

Article in International journal of circumpolar health, 2023. 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
0.4field-weighted citation impact, top 31% of its field
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, 1 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Erinn BarnettCollege of Health, Center for Human Development, University of Alaska Anchorage, Anchorage, AK, USA.
Jessica J HarvillCollege of Health, Center for Human Development, University of Alaska Anchorage, Anchorage, AK, USA.
Nathan J RabangCollege of Health, Center for Human Development, University of Alaska Anchorage, Anchorage, AK, USA.
University of Alaska Anchorage · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Project ECHO (Extension for Community Healthcare Outcomes) is a telehealth and virtual mentoring model. It is a scalable platform to create peer communities where professionals can gain knowledge, skills, and relevant information to their work and clinical practice. Key informant interviews of Alaska public health leaders, clinical providers, ECHO staff, and local government representatives were conducted to evaluate the effectiveness and utility of the Project ECHO for COVID-19 response. Project ECHO session attendance and evaluation data were also reviewed. A combined total of 41,255 attendees participated in a COVID-19 response ECHO July 1, 2019 - June 30, 2022. Eight key informant interviews were conducted with individuals involved in leading or coordinating COVID-19 response efforts. Key informants identified four themes impacting the effectiveness of the Project ECHO model in responding to the COVID-19 pandemic: (1) Engagement, (2) Amplification, (3) Adaptability, and (4) Trust. In a rapidly changing pandemic, the ECHO model provided adaptive and effective virtual spaces where Alaskan providers, communities, elected officials, educators, and other stakeholders were able to receive tailored and up-to-date information on mitigation, treatment, and other concerns exacerbated by COVID-19.

Indexed as

COVID-19TelemedicineAlaskaHumansPandemicsPublic HealthAlaskacommunity outreachCOVID-19medical educationProject ECHOpublic health responseremote learning

Identifiers

PMID37561083
PMCPMC10416732
OpenAlexW4385716383

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.