Evidence map›Paper›PMID 39561635›Full record

ArticleGeriatric nursing (New York, N.Y.)

Rethinking traditional recruitment methods for black men through relationship-based recruitment.

Dottington Fullwood, Caleb O Ramirez-Rivera

Abstract read
In one paragraph

Article in Geriatric nursing (New York, N.Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Lessons from the margins: Narratives of black men living beyond prostate cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. 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

2 authors.

Dottington FullwoodPopulation Sciences Research Program, Mayo Clinic Comprehensive Cancer Center, Jacksonville, FL, USA. Electronic address: fullwood.dottington@mayo.edu.
Caleb O Ramirez-RiveraPopulation Sciences Research Program, Mayo Clinic Comprehensive Cancer Center, Jacksonville, FL, USA.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
The University of Florida Jacksonville Aging Studies Center (JAX-ASCENT)R33AG056540 · NIA · UNIVERSITY OF FLORIDA · PI ANTON, STEPHEN D · 2017 to 2021
$3.8M
NCI NIH HHS P30 CA015083NIA NIH HHS R33 AG056540
6 · The paper itself

Abstract

Understanding health outcomes requires robust community relationships with potential research participants. Traditional recruitment methods have led to low engagement, particularly among Black men, negatively impacting their participation in clinical research. The aim of this research was to share how a relationship-based recruitment approach proved successful for recruiting this population. Black men often face fragmented care due to systemic biases. Despite efforts to improve recruitment, traditional methods prevail, offering minimal context such as travel vouchers resulting in poor response rates. To enhance recruitment, diverse strategies are essential. Engaging Black men in workplaces, sports clubs, community centers, and online platforms can better represent their varied experiences. A relationship-based approach was proven successful, as demonstrated by enrolling 60 Black men with low back pain in 60 days. We advocate for broader and more inclusive practices utilizing these recruitment strategies to improve health research participation in Black communities.

Indexed as

Black or African AmericanPatient SelectionAgedHumansLow Back PainMaleMiddle AgedBlack menClinical researchPainRecruitmentRelationship-based

Identifiers

PMID39561635
PMCPMC11805646

What OpenQuestion holds

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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.