ArticleInternet interventions2018
Comparing Amazon Mechanical Turk with unpaid internet resources in online clinical trials.
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.
What it found
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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.
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.
App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: A Randomized Control Trial
Who cites it
8 citing papers in PubMed.
- Childhood Victimizing ACEs, Peer Victimization, Cyber Victimization: Gender Differences and Associations with Young Adult Psychological Distress.Journal of child & adolescent trauma · 2025Article
- Bullying Victimization and Adverse Childhood Experiences: Retrospective Reports of Relative Impact on Emotional Distress.Journal of child & adolescent trauma · 2024Article
- An Exploration of Sedentary Behavior, Physical Activity, and Quality of Life During the COVID-19 Outbreak.International journal of public health · 2023Article
- The importance of community and culture for the recruitment, engagement, and retention of Chinese American immigrants in health interventions.Translational behavioral medicine · 2021Article
- Actual versus perceived infection rates of COVID-19: Impact on distress, behavior and disability.Journal of psychiatric research · 2021Article
- Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map.Trials · 2020Review
- Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study.Journal of medical Internet research · 2019Article
- Facebook for recruiting Spanish- and English-speaking smokers.Internet interventions · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.