Truthfulness as the basis for ethical safeguards in deceptive research: An interview study with researchers.

Ethical safeguards such as debriefing are often recommended or required for research studies in which participants are deceived. However, existing guidance on these safeguards seems insufficiently coherent and precise, which may be associated with their suboptimal implementation in practice. This study aimed to contribute to a more coherent and precise framework of ethical safeguards in deceptive studies through semi-structured interviews with a diverse sample of 24 researchers who had significant experience with deception. Interviewees discussed which ethical safeguards they implemented and how, as well as their relation to the notion of truthfulness (i.e., the intentional communication of true information). Moreover, interviewees provided a variety of reasons for and against implementing these safeguards, as well as how these reasons varied with the particular context of a study. Overall, the current study contributes to a more coherent and precise understanding of ethical safeguards in deceptive research that could be useful for guiding researchers and ethics reviewers in their ethical decision-making, although certain imprecisions and incoherent aspects remain in need of further investigation and normative reflection.

Governance of research and product improvement studies in consumer mental health apps. Interviews with researchers and app developers.

Consumer mental health apps (MHAs) collect and generate mental health-related data on their users, which can be leveraged for research and product improvement studies. Such studies are associated with ethical issues that may be difficult for researchers and app developers to assess. To improve ethical study conduct, governance through rules, agreements and customs could be relied upon, but their translation into practice is subject to barriers. This qualitative interview study with 17 researchers and app developers looked into the role and impact of governance standards on consumer MHA studies. Interviewees experienced a significant number of rules, agreements and customs, although not all of the governance standards that can potentially be applicable. Standards did have an impact on the interests of researchers and app developers, app users and society, but this impact was mediated by several barriers related to their conceptualization and implementation. Conceptualization barriers impacted the development of a standard, the inclusion of relevant concepts and the coordination between standards. Implementation barriers concerned the resource cost of understanding a standard, as well as suboptimal enforcement. The framework developed in this study can support more effective efforts to improve the governance of future consumer MHA studies.

Crowdsourcing smartphone data for biomedical research: Ethical and legal questions.

The use of smartphones has greatly increased in the last decade and has revolutionized the way that health data are being collected and shared. Mobile applications leverage the ubiquity and technological sophistication of modern smartphones to record and process a variety of metrics relevant to human health, including behavioral measures, clinical data, and disease symptoms. Information processed by mobile applications may have significant utility for increasing biomedical knowledge, both through conventional research and emerging discovery paradigms such as citizen science. However, the ways in which smartphone-collected data may be used in nontraditional modes of biomedical discovery are not well understood, such as using data to train artificially intelligent algorithms and for product development purposes. This paper argues that the use of mobile health data for algorithm training and product development is (a) likely to become a prominent fixture in medicine, (b) likely to raise significant ethical and legal challenges, and (c) warrants immediate scrutiny by policymakers and scholars. We introduce the concept of "smartphone-crowdsourced medical data," or SCMD, and set out a broad research agenda for addressing concerns associated with this new and potentially momentous practice. We conclude that SCMD for algorithm training raises a number of ethical and legal issues which require further scholarly attention to ensure that individual interests are protected and that emerging health information sources can be used in ways that maximally, and safely, promote medical innovation.

Informed Consent and Debriefing When Deceiving Participants: A Systematic Review of Research Ethics Guidelines.

Informed consent and debriefing of research participants in studies that use deception are ethical safeguards for which existing scholarly work on their implementation remains variable and insufficiently clear. A systematic review of research ethics guidelines was conducted to sketch a picture of whether, why and how informed consent and debriefing are recommended when using deception. Documents roughly agreed on several general principles, but varied significantly in the specifics of why and whether these safeguards are necessary, in which conditions and how they should be implemented. Various aspects that appear in the literature could not be found in the guidelines. In our review, guidance was integrated and showed a variation of implementation strategies that could help in contextualizing these safeguards.

Assessing the acceptability of individual studies that use deception: A systematic review of normative guidance documents.

Research participants are often deceived for methodological reasons. However, assessing the ethical acceptability of an individual study that uses deception is not straightforward. The academic literature is scattered on the subject and several aspects of the acceptability assessment are only scarcely addressed, which parallels reports of inconsistent ethics review. Therefore, we aimed to investigate where normative guidance documents agree and disagree about this assessment. A PRISMA-Ethics-guided systematic review of normative guidance documents that discuss deception of research participants was conducted. Our search strategy resulted in 55 documents that were subsequently analyzed through abductive thematic analysis. While guidance documents mention little about specific risks and opportunities of deception, our analysis describes a rich picture of the thresholds for acceptability of the risks and benefits of deception and their integration, the comparison with the risk-benefit analysis of alternative non-deceptive methods, and the bodies of people who are positioned to do the review. Our review reveals an agreement on the general process of assessing the acceptability of studies that use deception, although significant variability remains in the details and several topics are largely or completely unaddressed in guidance documents.