ArticlePublic health genomics2016
Participation in Genetic Research: Amazon's Mechanical Turk Workforce in the United States and India.
Article in Public health genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The willingness to participate in biomedical research involving human beings in low- and middle-income countries: a systematic review.Tropical medicine & international health : TM & IH · 2019Pooled it
- Attitudes Regarding Enrollment in a Genetic Research Project: An Informed Consent Simulation Study Comparing Views of People With Depression, Diabetes, and Neither Condition.Journal of empirical research on human research ethics : JERHRE · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundGenomic research has innumerable benefits. However, if people are unwilling to participate in genomic research, application of knowledge will be limited. This study examined the likelihood of respondents from a high- and a low- to middle-income country to participate in genetic research.
methodsCross-sectional data were collected using Amazon's Mechanical Turk workforce to ascertain attitudes toward participation in genetic research. Registered country of residence was either the US (n = 505) or India (n = 505). Multiple logistic regression models were used to assess adjusted effects of demographic characteristics, health, social status, beliefs and concerns on 4 genetic research outcomes.
resultsParticipants from India who believed chance and powerful others influenced their health were more likely to participate in genetic research (OR = 1.0, 95% CI 1.0-1.1) and to agree with sharing of DNA data (OR = 1.1, 95% CI 1.1-1.2). US participants were more likely to be concerned about protection of family history, which they indicated would affect participation (OR = 3.6, 95% CI 2.1-6.0). Commonalities for the likelihood of participation were beliefs that genetic research could help find new treatments (India OR = 2.3, 95% CI 1.0-5.4; US OR = 4.7, 95% CI 2.0-11.2) and descendants would benefit (India OR = 2.6, 95% CI 1.2-5.5; US OR = 3.0, 95% CI 1.3-7.1).
conclusionsConcurrence of beliefs on benefits and concerns about genetic research suggest they may be common across countries. Consideration of commonalities may be important to increase global participation in genetic research.
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What OpenQuestion holds
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.