Evidence map›Paper›PMID 28752133›Full record

ArticleContemporary clinical trials communications2017

Comparison of recruitment and retention among demographic subgroups in a large diverse population study of diet.

Gwen L Alexander, Sujata Dixit-Joshi, Lawrence H Kushi, Laura A Coleman, Maria E Sundaram, Heather A Clancy, Michelle Groesbeck, Nancy A Potischman, Sharon I Kirkpatrick, Thea P Zimmerman and 3 more

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

13 authors.

Gwen L AlexanderHenry Ford Health System, Department of Public Health Sciences, 1 Ford Place, Detroit, MI 48202, USA.
Sujata Dixit-JoshiHealth Studies Section, Westat, 1600 Research Boulevard, Rockville, MD, USA.
Lawrence H KushiKaiser-Permanente, Division of Research, 2000 Broadway, Oakland, CA, USA.
Laura A ColemanMarshfield Clinic Research Foundation, Epidemiology Research Center, 1000 North Oak Avenue, Marshfield, WI, USA.
Maria E SundaramMarshfield Clinic Research Foundation, Epidemiology Research Center, 1000 North Oak Avenue, Marshfield, WI, USA.
Heather A ClancyKaiser-Permanente, Division of Research, 2000 Broadway, Oakland, CA, USA.
Michelle GroesbeckHenry Ford Health System, Department of Public Health Sciences, 1 Ford Place, Detroit, MI 48202, USA.
Nancy A PotischmanNational Cancer Institute, Division of Cancer Control and Population Sciences, 9609 Medical Center Drive, Rockville, MD, USA.
Sharon I KirkpatrickNational Cancer Institute, Division of Cancer Control and Population Sciences, 9609 Medical Center Drive, Rockville, MD, USA.
Thea P ZimmermanHealth Studies Section, Westat, 1600 Research Boulevard, Rockville, MD, USA.
Stephanie M GeorgeNational Cancer Institute, Division of Cancer Control and Population Sciences, 9609 Medical Center Drive, Rockville, MD, USA.
Amy F SubarNational Cancer Institute, Division of Cancer Control and Population Sciences, 9609 Medical Center Drive, Rockville, MD, USA.
Frances E ThompsonNational Cancer Institute, Division of Cancer Control and Population Sciences, 9609 Medical Center Drive, Rockville, MD, USA.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

objectiveWe examined the feasibility of conducting a longitudinal study of diet among diverse populations by comparing rates of response throughout recruitment and retention phases by demographic and other characteristics.

methodsUsing quota sampling, participants were recruited from 3 geographically and demographically diverse integrated health systems in the United States. Overall, 12,860 adults, ages 20-70, were invited to participate via mail. Participation first required accessing the study's website and later meeting eligibility criteria via telephone interview. Enrollees were asked to provide two 24-hour dietary recalls, either interviewer-administered or self-administered on the web, over 6 weeks. Stepped monetary incentives were provided.

resultsRates for accessing the study website ranged from 6% to 23% (9% overall) across sites. Site differences may reflect differences in recruitment strategy or target samples. Of those accessing the website, enrollment was high (≥ 87%). Of the 1185 enrollees, 42% were non-Hispanic white, 34% were non-Hispanic black, and 24% were Hispanic. Men and minorities had lower enrollment rates than women and non-Hispanic whites, partially due to less successful telephone contact for eligibility screening. Once enrolled, 90% provided 1 recall and 80% provided both. Women had higher retention rates than men, as did older compared to younger participants. Retention rates were similar across race/ethnicity groups.

conclusionsWhile study recruitment remains challenging, once recruited most participants, regardless of race/ethnicity, completed two 24-hour dietary recalls, both interviewer-administered and self-administered on the web. This study demonstrates the feasibility of collecting multiple 24-hour recalls including less expensive automated self-administered recalls among diverse populations.

Indexed as

automated nutritional assessmentdiet surveyexperimental designpopulationrecruitmentretention

Identifiers

PMID28752133
PMCPMC5523981

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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.