Evidence map›Paper›PMID 36439051›Full record

ArticlePsychology and sexuality2022

Bots and nots: Safeguarding online survey research with underrepresented and diverse populations.

Sara Bybee, Kristin Cloyes, Lee Ellington, Brian Baucom, Katherine Supiano, Kathi Mooney

Abstract read
In one paragraph

Article in Psychology and sexuality, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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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

6 authors.

Sara BybeeUniversity of Utah, College of Nursing, 10 S 2000 E, Salt Lake City, UT, 84112.ORCID 0000-0001-5878-6593
Kristin CloyesUniversity of Utath, College of Nursing.ORCID 0000-0003-2139-7716
Lee EllingtonUniversity of Utah, College of Nursing.ORCID 0000-0002-7035-490X
Brian BaucomUniversity of Utah, Department of Psychology.ORCID 0000-0002-0263-3763
Katherine SupianoUniversity of Utath, College of Nursing.ORCID 0000-0001-7267-7705
Kathi MooneyUniversity of Utah, College of Nursing.ORCID 0000-0003-3371-5646

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Interdisciplinary Training in Cancer, Caregiving and End-of-Life CareT32NR013456 · NINR · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A, MOONEY, KATHLEEN H · 2013 to 2022
$3.4M
NCATS NIH HHS UL1 TR002538NINR NIH HHS T32 NR013456
6 · The paper itself

Abstract

The COVID-19 pandemic has intensified the use of online recruitment and data collection for reaching historically underrepresented minorities (URMs) and other diverse groups. Preventing and detecting responses from automated accounts "bots" and those who misrepresent themselves is one challenge in utilizing online approaches. Through internet-mediated methods, interested LGBTQ+ and non-LGBTQ+ couples facing advanced cancer completed an interest form via REDCap®. Eligible participants received a direct link to electronic consent and surveys in REDCap®. Once responses to the interest form (N = 619) were received, the study PI: 1) assessed participants' entries and non-response survey data (time of completion, rate of recruitment, etc.), 2) temporarily postponed recruitment, 3) sent eligibility questionnaires, consent documents, and validated surveys to N= 10 couples and scrutinized these data for suspicious patterns or indications of untrustworthy data, 4) responded to potential participants via email, and 5) implemented additional strategies for detecting and preventing untrustworthy survey responses. Investigators must consider multi-step eligibility screening processes to detect and prevent the collection of untrustworthy data. Investigators' reliance on internet-mediated approaches for conducting research with diverse, hard-to-reach populations increases the importance of addressing threats to data validity. Ultimately, safeguarding internet-mediated research supports research accessibility and inclusion for URMs while also protecting participant data integrity.

Indexed as

data collectionInternet-mediated researchLGBTQ personsminority groupssurveys and questionnaires

Identifiers

PMID36439051
PMCPMC9697945

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.