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. 2020 Jan 31;15(1):e0227898.
doi: 10.1371/journal.pone.0227898. eCollection 2020.

When money talks: Judging risk and coercion in high-paying clinical trials

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When money talks: Judging risk and coercion in high-paying clinical trials

Christina Leuker et al. PLoS One. .

Abstract

Millions of volunteers take part in clinical trials every year. This is unsurprising, given that clinical trials are often much more lucrative than other types of unskilled work. When clinical trials offer very high pay, however, some people consider them repugnant. To understand why, we asked 1,428 respondents to evaluate a hypothetical medical trial for a new Ebola vaccine offering three different payment amounts. Some respondents (27%) used very high pay (£10,000) as a cue to infer the potential risks the clinical trial posed. These respondents were also concerned that offering £10,000 was coercive- simply too profitable to pass up. Both perceived risk and coercion in high-paying clinical trials shape how people evaluate these trials. This result was robust within and between respondents. The link between risk and repugnance may generalize to other markets in which parties are partially remunerated for the risk they take and contributes to a more complete understanding of why some market transactions appear repugnant.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Responses of doubtful and trustful respondents for various payment amounts (between- respondents).
Black triangles and circles represent sample means. Colored triangles and circles and error bars represent the means and the 95% highest density intervals of the posterior predictive distributions.
Fig 2
Fig 2. Estimated side effects for various payment amounts by doubtful, trustful, and other respondents (between-respondents).
Black triangles and circles represent sample means. Colored triangles and circles and error bars represent the means and the 95% highest density intervals of the posterior predictive distributions.

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