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Towards a Design Toolkit of Informed Consent Models Across Fields: A Systematic Review
Iris Loosman1, Philip J Nickel2
1Department of Philosophy and Ethics, School of Innovation Sciences, Eindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, The Netherlands. i.loosman@tue.nl.
Science and Engineering Ethics
|August 30, 2022
Summary
This study analyzes informed consent models across disciplines, identifying 207 unique models and their interrelationships. It reveals common goals and adaptable models for a cross-disciplinary consent design toolkit.
Area of Science:
- Interdisciplinary Research
- Ethics
- Information Science
Background:
- The concept of informed consent has evolved over 60 years, with various models developed within specific fields like medical ethics.
- Existing literature reviews often focus on single disciplines, limiting a broader understanding of consent models.
Purpose of the Study:
- To conduct a cross-disciplinary analysis of academic literature on informed consent models.
- To identify trends, common goals, and interrelationships between consent models across different fields.
- To contribute to a "consent design toolkit" by highlighting adaptable models.
Main Methods:
- Systematic search of three major databases (Scopus, Google Scholar, Web of Science) for publications on informed consent models.
- Screening and coding of titles, abstracts, and full publications.
- Network visualization to map the occurrence and overlap of consent models across fields.
Main Results:
- Identified 207 uniquely named informed consent models from 300 scanned sources.
- Revealed significant overlap and interrelationships between consent models from different fields.
- Determined trends in the informed consent debate and common objectives of various models.
Conclusions:
- The study highlights greater interconnections between consent models and fields than previously acknowledged.
- Some models, initially developed for specific fields like biomedical ethics, show potential for adaptation in areas such as engineering and design.
- The findings support the development of a versatile, cross-disciplinary "consent design toolkit".
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