Evidence map›Paper›PMID 38721697›Full record

ArticlePrimary health care research & development2024

Conceptualizing National Advisory Boards in primary care research: application to the Two in One HIV and COVID screening and testing model.

Maranda C Ward, Paloma Delgado Setien, Abigail Konopasky, Donaldson F Conserve

Abstract read
In one paragraph

Article in Primary health care research & development, 2024. 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

4 authors.

Maranda C WardDepartment of Clinical Research and Leadership, School of Medicine and Health Sciences, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.ORCID 0000-0002-1255-0224
Paloma Delgado SetienThe Milken Institute School of Public Health at The George Washington University, Washington, DC, USA.ORCID 0000-0002-3080-0119
Abigail KonopaskyDepartment of Medical Education, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.ORCID 0000-0002-3033-5552
Donaldson F ConserveThe Milken Institute School of Public Health at The George Washington University, Washington, DC, USA.ORCID 0000-0001-8193-817X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors report on their development of a National Advisory Board (NAB) to guide a funded project: Two in One: HIV + COVID-19 Screening and Testing Model. This project aimed to improve primary care practitioners' capacity to routinize HIV, PrEP/PEP, and COVID-19 vaccine screenings for all their patients while relying on culturally responsive communication with their minoritized patients. To approach their monumental research and education tasks, they created a NAB, drawing from the literature on advisory boards to (a) promote board member engagement and (b) progress successfully through the six stages suggested for successful advisory boards. A midpoint survey and final focus groups with NAB members indicated mixed levels of engagement, a sense of time and work being valued, and pride in the media and academic reach of the project. The authors offer considerations for others considering forming a NAB to guide primary care research and interventions.

Indexed as

Advisory CommitteesCOVID-19HIV InfectionsPrimary Health CareCOVID-19 TestingFocus GroupsHealth Services ResearchHumansMaleMass ScreeningSARS-CoV-2advisory boardsculturally responsive communicationresearch

Identifiers

PMID38721697
PMCPMC11091534

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.