Evidence map›Paper›PMID 36755529›Full record

ArticleJournal of clinical and translational science2023

Use of a Community Engagement and Research Core model to enhance primary care provider recruitment: A case example.

Heidi Rishel Brakey, Julia M Martinez, Andrew L Sussman, Magdalena M McWethy, Justin Martinez, Carla N Cordova, Julie G Salvador

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Heidi Rishel BrakeyClinical and Translational Science Center, University of New Mexico Health Sciences, NM, USA.
Julia M MartinezClinical and Translational Science Center, University of New Mexico Health Sciences, NM, USA.ORCID https://orcid.org/0000-0001-6505-4358
Andrew L SussmanFamily and Community Medicine, Comprehensive Cancer Center, University of New Mexico Health Sciences, NM, USA.
Magdalena M McWethyClinical and Translational Science Center, University of New Mexico Health Sciences, NM, USA.
Justin MartinezClinical and Translational Science Center, University of New Mexico Health Sciences, NM, USA.
Carla N CordovaClinical and Translational Science Center, University of New Mexico Health Sciences, NM, USA.
Julie G SalvadorDepartment of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences, NM, USA.

Funding

UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
AHRQ HHS R18 HS025345NCATS NIH HHS UL1 TR001449
6 · The paper itself

Abstract

Persistent barriers exist to engage rural providers in research and training. Provider shortages exacerbate these challenges, leading to a scarcity of time and limiting motivation to participate in research. We present application of an innovative engagement model to increase rural primary care provider participation in research. Using our Community Engagement and Research Core, we demonstrate that fundamental principles of training and expertise, attention to efficiency and multitasking, and commitment to community are important for addressing provider recruitment barriers. We encourage other Clinical and Translational Science Centers to provide similar services to their local investigators to enhance provider engagement in research.

Indexed as

community-engaged researchCTSAparticipant recruitmentprimary health carerural

Identifiers

PMID36755529
PMCPMC9879864

What OpenQuestion holds

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LicenceCC BY
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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.