Informed consent.
By C. Rayner. British Journal of Plastic Surgery, 2000
1,550 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b5a242ceaa9fa6f64261828d5e101a82f12c129d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Judy F. Chen
- Huo-Tsan Chang
- E. Emanuel
- David Wendler
- Heike Felzmann
- C. Grady
- C. Lutz
- Aurelia Tamó-Larrieux
Citations in the corpus
- What makes clinical research ethical? (2000, background): “Informed consent embodies the need to respect persons and their autonomous decisions.(2,3,97,98) To enroll individuals in clinical research without their authorization is to treat them merely as a means to purposes and ends they may not endorse and deny them the opportunity to choose what projects t”
- Focus group methodology: some ethical challenges (2019, background): “Lack of information—i.e., inadequate disclosure—is a constraint upon autonomous decision making (Beauchamp 1997).”
- Engaging patients in decision-making and behavior change to promote prevention (2017, methodology): “While this represents an improvement in patient engagement, it was mainly applied to surgical procedures and most efforts focused on getting signed consent rather than ensuring patient involvement in decision-making or even ensuring full comprehension of the procedure and alternatives [2,3].”
- Motivators That Do Not Motivate: The Case of Chinese EFL Learners and the Influence of Culture on Motivation (2005, background): “Before respondents could view any questions, they encountered a popup window with instructions and had to respond positively, which acted as informed consent for participation (Fischman, 2000).”
- Returning Individual Research Results to Participants: Guidance for a New Research Paradigm (2018, methodology): “Information technology may provide new opportunities to implement informed consent with minimal intrusion” (Grady et al., 2017, p. 857).”
- Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns (2019, background): “These discussions build upon literature and proposals for building ‘‘explainable AI,’’ although more interdisciplinary research between legal scholars and AI developers is needed (Felzmann et al., 2019; Miller, 2019; Santiago and Escrig, 2017).”