Evidence map›Paper›PMID 30135770›Full record

ArticleInternet interventions2018

Comparing Amazon Mechanical Turk with unpaid internet resources in online clinical trials.

Eduardo Bunge, Haley M Cook, Melissa Bond, Rachel E Williamson, Monique Cano, Alinne Z Barrera, Yan Leykin, Ricardo F Muñoz

Registry-linked trialAbstract read
In one paragraph

Article in Internet interventions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05027113 (App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT05027113 nacompletednot on this mapstarted 2021, after this paper: background citation

App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: A Randomized Control Trial

TypeinterventionalSponsorUniversity of California, Los AngelesRan2021 to 2022Enrolled155ConditionsStress, Psychological, Anxiety, Depression, RuminationArmsMindfulness meditation
3 · Its place in the literature

Who cites it

8 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

8 authors.

Eduardo BungePalo Alto University, i4Health, United States.
Haley M CookPalo Alto University, i4Health, United States.
Melissa BondPalo Alto University, i4Health, United States.
Rachel E WilliamsonPalo Alto University, i4Health, United States.
Monique CanoPalo Alto University, i4Health, United States.
Alinne Z BarreraPalo Alto University, i4Health, United States.
Yan LeykinPalo Alto University, i4Health, United States.
Ricardo F MuñozPalo Alto University, i4Health, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internet interventions face significant challenges in recruitment and attrition rates are typically high and problematic. Finding innovative yet scientifically valid avenues for attaining and retaining participants is therefore of considerable importance. The main goal of this study was to compare recruitment process and participants characteristics between two similar randomized control trials of mood management interventions. One of the trials (Bunge et al., 2016) was conducted with participants recruited from Amazon's Mechanical Turk (AMT), and the other trial recruited via Unpaid Internet Resources (UIR).

methodsThe AMT sample (Bunge et al., 2016) consisted of 765 adults, and the UIR sample (recruited specifically for this study) consisted of 329 adult US residents. Participants' levels of depression, anxiety, confidence, motivation, and perceived usefulness of the intervention were assessed. The AMT sample was financially compensated whereas the UIR was not.

resultsAMT yielded higher recruitment rates per month (

conclusionsBy using AMT, researchers can recruit very rapidly and obtain higher retention rates; however, these participants may not be representative of the general online population interested in clinical interventions. Considering that AMT and UIR participants differed in most baseline variables, data from clinical studies resulting from AMT samples should be interpreted with caution.

Indexed as

Amazon Mechanical TurkClinical trialsDepressionInternet interventionsRecruitment

Identifiers

PMID30135770
PMCPMC6096331

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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.