Evidence map›Paper›PMID 29691203›Full record

ArticleJMIR research protocols2018

Addressing Participant Validity in a Small Internet Health Survey (The Restore Study): Protocol and Recommendations for Survey Response Validation.

James Dewitt, Benjamin Capistrant, Nidhi Kohli, B R Simon Rosser, Darryl Mitteldorf, Enyinnaya Merengwa, William West

Abstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  2. Mitigating fraud in a fully decentralized clinical trial of a digital health intervention.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
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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

7 authors.

James DewittDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0000-0002-2776-8058
Benjamin CapistrantSchool of Social Work, Smith College, North Hampton, MA, United States.ORCID http://orcid.org/0000-0001-5841-6592
Nidhi KohliDepartment of Educational Psychology, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0000-0003-4690-2854
B R Simon RosserDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0000-0001-8862-531X
Darryl MitteldorfMalecare, New York, NY, United States.ORCID http://orcid.org/0000-0002-0221-960X
Enyinnaya MerengwaDepartment of Family Medicine and Community Health, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0000-0002-6359-6687
William WestDepartment of Writing Studies, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0000-0003-4657-1151

Funding

Understanding the Effects of Prostate Cancer on Gay and Bisexual MenR21CA182041 · NCI · UNIVERSITY OF MINNESOTA · PI ROSSER, B R SIMON · 2014 to 2015
$331k
6 · The paper itself

Abstract

backgroundWhile deduplication and cross-validation protocols have been recommended for large Web-based studies, protocols for survey response validation of smaller studies have not been published.

objectiveThis paper reports the challenges of survey validation inherent in a small Web-based health survey research.

methodsThe subject population was North American, gay and bisexual, prostate cancer survivors, who represent an under-researched, hidden, difficult-to-recruit, minority-within-a-minority population. In 2015-2016, advertising on a large Web-based cancer survivor support network, using email and social media, yielded 478 completed surveys.

resultsOur manual deduplication and cross-validation protocol identified 289 survey submissions (289/478, 60.4%) as likely spam, most stemming from advertising on social media. The basic components of this deduplication and validation protocol are detailed. An unexpected challenge encountered was invalid survey responses evolving across the study period. This necessitated the static detection protocol be augmented with a dynamic one.

conclusionsFive recommendations for validation of Web-based samples, especially with smaller difficult-to-recruit populations, are detailed.

Indexed as

data accuracydata analysisfraudulent dataresearch activitiesresearch and design

Identifiers

PMID29691203
PMCPMC5941092

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.