Evidence map›Paper›PMID 27969022›Full record

ArticleApplied nursing research : ANR2016

Guidelines for research recruitment of underserved populations (EERC).

Yui Matsuda, Jada L Brooks, Linda S Beeber

Open access · greenAbstract read
In one paragraph

Article in Applied nursing research : ANR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Exploring How Children and Young People With Sickle Cell Disease and Their Families Want to be Involved in Research: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
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  15. Using Vignette-Based Methodology to Examine Study Recruitment in Older African American Adults: A Methods Paper.Journal of urban health : bulletin of the New York Academy of Medicine · 2021
    Article
  16. Article
  17. Inclusion under the Mental Capacity Act (2005): A review of research policy guidance and governance structures in England and Wales.Health expectations : an international journal of public participation in health care and health policy · 2021
    Review
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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 2 institutions in 1 country.

Yui MatsudaSchool of Nursing and Health Studies, University of Miami, Coral Gables, FL 33124. Electronic address: ymatsuda@miami.edu.
Jada L BrooksSchool of Nursing, University of North Carolina, Chapel Hill, NC.
Linda S BeeberSchool of Nursing, University of North Carolina, Chapel Hill, NC.
University of North Carolina at Chapel Hill · USUniversity of Miami · US

Funding

SET-Enhanced Aftercare for Mothers in Substance Abuse Recovery and Their ChildreP60MD002266 · NIMHD · UNIVERSITY OF MIAMI CORAL GABLES · PI SANTISTEBAN, DANIEL A. · 2007 to 2016
$13.6M
INTERVENTIONS FOR PREVENTING &MANAGING CHRONIC ILLNESST32NR007091 · NINR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Cheryl L Giscombe, Cathi Barbra Propper · 1996 to 2026
$11.8M
Hispanic Men Building Respect Education and Safety/ Hombres Manteniendo Respeto, Educacion y Seguridad (HOMBRES DE FAMILIA)U54MD002266 · NIMHD · UNIVERSITY OF MIAMI CORAL GABLES · PI BEHAR-ZUSMAN, VICTORIA, DE LA ROSA, MARIO R · 2017 to 2022
$8.3M
Research Training:Health Care Quality &Patient OutcomesT32NR008856 · NINR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MARK, BARBARA A · 2004 to 2013
$2.7M
NIMHD NIH HHS P60 MD002266NIMHD NIH HHS U54 MD002266NINR NIH HHS T32 NR007091NINR NIH HHS T32 NR008856
6 · The paper itself

Abstract

purposeDespite concerted efforts to establish health equity, significant disparities persist. One roadblock to eliminating health disparities is the inadequate recruitment of underserved populations, which prevents researchers from creating culturally-tailored interventions. To further develop the science of recruitment, we argue that a systematic approach should be applied to research participant recruitment. Given the lack of practical and comprehensive recruitment conceptual frameworks or guidelines in the literature, the authors propose newly synthesized guidelines for research recruitment of underserved populations: EERC (evaluate, engage, reflect, and carefully match).

methodsThe EERC guidelines are delineated, and the application of these guidelines is illustrated through a study recently conducted by the authors.

resultsThe guidelines consist of the following four components: 1. Evaluate the composition of the research team; 2. Engage fully with the community by working with key informants and cultural insiders; 3. Reflect the unique cultural characteristics of the community in the research conduct; and 4. Carefully use a matching technique. The application component of the article demonstrates concrete examples of how the guidelines can enhance research recruitment for an underserved population.

conclusionThe authors intend these guidelines to be broadly applicable for research teams regardless of research design or characteristics of the underserved population. Application of these guidelines in nursing and health science will contribute to increasing research recruitment of underserved populations, with the goal of reducing health disparities and achieving health equity for all persons.

Indexed as

Guidelines as TopicMedically Underserved AreaPatient SelectionHumansCommunity-based participatory researchHealth equityNursingPatient selectionRecruitment

Identifiers

PMID27969022
PMCPMC5215593
OpenAlexW2495572192

What OpenQuestion holds

Textmetadata
LicenceTDM
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.