Evidence map›Paper›PMID 37250998›Full record

ArticleJournal of clinical and translational science2023

Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic.

Lori Carter-Edwards, Renee Leverty, Alicia Bilheimer, Lindsay Bailey, Bukola Adeshina, Prabisha Shrestha, Zhitong Yu, Gaurav Dave, Michael Cohen-Wolkowiez, Warren Kibbe and 1 more

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2023. 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

11 authors.

Lori Carter-EdwardsBernard J. Tyson School of Medicine, Kaiser Permanente, Pasadena, CA, USA.
Renee LevertyDuke Clinical Research Institute, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0002-5883-8290
Alicia BilheimerUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Lindsay BaileyUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Bukola AdeshinaUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Prabisha ShresthaUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zhitong YuUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gaurav DaveUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0003-0825-1595
Michael Cohen-WolkowiezDuke Clinical Research Institute, Duke University, Durham, NC, USA.
Warren KibbeDuke Clinical Research Institute, Duke University, Durham, NC, USA.
Giselle CorbieUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

RADx-UP SAY YES COVID Test Study (S4)U24MD016258 · NIMHD · DUKE UNIVERSITY · PI COHEN-WOLKOWIEZ, MICHAEL, DAVE, GAURAV J · 2020 to 2023
$116.7M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
NCATS NIH HHS UL1 TR002489NIMHD NIH HHS U24 MD016258
6 · The paper itself

Abstract

The COVID-19 pandemic raised the importance of adaptive capacity and preparedness when engaging historically marginalized populations in research and practice. The Rapid Acceleration of Diagnostics in Underserved Populations' COVID-19 Equity Evidence Academy Series (RADx-UP EA) is a virtual, national, interactive conference model designed to support and engage community-academic partnerships in a collaborative effort to improve practices that overcome disparities in SARS-CoV-2 testing and testing technologies. The RADx-UP EA promotes information sharing, critical reflection and discussion, and creation of translatable strategies for health equity. Staff and faculty from the RADx-UP Coordination and Data Collection Center developed three EA events with diverse geographic, racial, and ethnic representation of attendees from RADx-UP community-academic project teams: February 2021 (n = 319); November 2021 (n = 242); and September 2022 (n = 254). Each EA event included a data profile; 2-day, virtual event; event summary report; community dissemination product; and an evaluation strategy. Operational and translational delivery processes were iteratively adapted for each EA across one or more of five adaptive capacity domains: assets, knowledge and learning, social organization, flexibility, and innovation. The RADx-UP EA model can be generalized beyond RADx-UP and tailored by community and academic input to respond to local or national health emergencies.

Indexed as

adaptive capacityCommunity engagementCOVID-19health equityvirtual conference

Identifiers

PMID37250998
PMCPMC10225263

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.