Three-in-1,000 and dynamic norms: A mixed-method investigation of novel appeals for influencing organ donor registration

Jason T. Siegel, Maria D. McManus, Danielle R. Blazek and Alexander Marshburn

Social Science & Medicine, 2023, vol. 317, issue C

Abstract: The current research investigated two rarely used appeals for increasing organ donor registration–both with the potential to backfire. The three-in-1000 appeal explains that less than one percent of people will die in such a way that their organs can be donated. This appeal could heighten awareness that donor registration is needed, but it can also convey that registering is futile. The dynamic norms appeal emphasizes the increasing number of people who are becoming registered donors. This appeal could increase the perceived normative nature of registration, but doing so can also lead potential donors to conclude that enough people are already registered. In Studies 1 and 2, participants recruited from Amazon's Mechanical Turk were randomly assigned to either one of these appeals, and their attitudes toward donor registration and intentions to register as a donor were compared to participants in a no-message control group. Study 2 included a qualitative component where participants were asked to describe their perceptions as to why the message was or was not influential. In both experiments, intentions to register were higher for those in both messaging conditions compared to the control group. Positive attitudes toward organ donation were higher in the three-in-1000 condition compared to the control group for both studies. Those in the dynamic norms condition reported more positive attitudes than the control group in Study 1, but not Study 2. In both studies, there was scant evidence of the messages backfiring. In the qualitative component of Study 2, self-reported reasons for the influence of each method provided insight into how and why these appeals were influential, and indicated signs of underdetection for the dynamic norms message.

Keywords: Organ donation; Organ donor; Dynamic norms; Mixed-method (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.socscimed.2022.115544

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