Evidence map›Paper›PMID 34255658›Full record

ArticleJournal of medical Internet research2021

Recruitment and Retention Strategies Among Racial and Ethnic Minorities in Web-Based Intervention Trials: Retrospective Qualitative Analysis.

DaSol Amy Hwang, Alex Lee, Jae Min Song, Hae-Ra Han

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03726619 (e-CHEC-uP), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
2.9field-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.

NCT03726619 nacompletednot on this map

e-CHEC-uP: Scaling up an Efficacious Cancer Screening Intervention for Women With Limited English

TypeinterventionalSponsorJohns Hopkins UniversityRan2019 to 2020Enrolled40ConditionsBreast Cancer, Cervical CancerArmse-CHEC-uP, CHEC-uP
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  16. At the intersection of trust and mistrust: A qualitative analysis of motivators and barriers to research participation at a safety-net hospital.Health expectations : an international journal of public participation in health care and health policy · 2023
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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

4 authors at 1 institution in 1 country.

DaSol Amy HwangJohns Hopkins University School of Nursing, Baltimore, MD, United States.ORCID 0000-0003-0306-1493
Alex LeeJohns Hopkins University School of Nursing, Baltimore, MD, United States.ORCID 0000-0002-7769-0308
Jae Min SongJohns Hopkins University School of Nursing, Baltimore, MD, United States.ORCID 0000-0003-4010-3226
Hae-Ra HanJohns Hopkins University School of Nursing, Baltimore, MD, United States.ORCID 0000-0002-9419-594X
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRacial and ethnic minority groups are underrepresented in health research, contributing to persistent health disparities in the United States. Identifying effective recruitment and retention strategies among minority groups and their subpopulations is an important research agenda. Web-based intervention approaches are becoming increasingly popular with the ubiquitous use of the internet. However, it is not completely clear which recruitment and retention strategies have been successful in web-based intervention trials targeting racial and ethnic minorities.

objectiveThis study aims to describe lessons learned in recruiting and retaining one of the understudied ethnic minority women-Korean Americans-enrolled in a web-based intervention trial and to compare our findings with the strategies reported in relevant published web-based intervention trials.

methodsMultiple sources of data were used to address the objectives of this study, including the study team's meeting minutes, participant tracking and contact logs, survey reports, and postintervention interviews. In addition, an electronic search involving 2 databases (PubMed and CINAHL) was performed to identify published studies using web-based interventions. Qualitative analysis was then performed to identify common themes addressing recruitment and retention strategies across the trials using web-based intervention modalities.

resultsA total of 9 categories of recruitment and retention strategies emerged: authentic care; accommodation of time, place, and transportation; financial incentives; diversity among the study team; multiple, yet standardized modes of communication; mobilizing existing community relationships with efforts to build trust; prioritizing features of web-based intervention; combined use of web-based and direct recruitment; and self-directed web-based intervention with human support. Although all the studies included in the analysis combined multiple strategies, prioritizing features of web-based intervention or use of human support were particularly relevant for promoting recruitment and retention of racial and ethnic minorities in web-based intervention trials.

conclusionsThe growing prevalence of internet use among racial and ethnic minority populations represents an excellent opportunity to design and deliver intervention programs via the internet. Future research should explore and compare successful recruitment and retention methods among race and ethnic groups for web-based interventions.

trial registrationClinicalTrials.gov NCT03726619; https://clinicaltrials.gov/ct2/show/NCT03726619.

Indexed as

EthnicityInternet-Based InterventionFemaleHumansMinority GroupsPatient SelectionRetrospective StudiesUnited Statesclinical trialKorean Americanracial/ethnic minorityrecruitment and retentionweb-based intervention

Identifiers

PMID34255658
PMCPMC8314154
OpenAlexW3182640256

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.