Informed Consent: A Monthly Review
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May 2025 :: Issue 77

In preparing this digest, we monitor a broad range of academic journals and utilize Google Scholar to search articles referencing  informed consent or assent. After careful consideration, a selection of these results appear in the digest. We also monitor other research, analysis, guidance and commentary beyond the academic literature globally, including calls for public consultation and symposia/conferences which address consent/assent in whole or in part. We recognize that some of the arguments presented in this edition may be controversial and may warrant closer scrutiny. We have elected to be generous in our inclusion with the goal of presentating of a wholistic landscape of informed consent literature as it is being published. We acknowledge that this scope yields an indicative and not an exhaustive digest product.

Informed Consent: A Monthly Review is a service of the Center for Informed Consent Integrity, a program of the GE2P2 Global Foundation. The Foundation is solely responsible for its content. Comments and suggestions should be directed to:

Editor
Paige Fitzsimmons, MA
Associate Director, Center for Informed Consent Integrity
GE2P2 Global Foundation
paige.fitzsimmons@ge2p2global.org

PDF Version: Center for Informed Consent Integrity – A Monthly Review_May 2025

Disentangling informing participants from obtaining their consent

Disentangling informing participants from obtaining their consent
Experience Report
Patricia Pearl O’Rourke, Joseph Ali, Judith Carrithers, David Magnus, Benjamin S. Wilfond, Sheana Bull, Laura M. Dember, Gail D’Onofrio, Julie Goldman, P. Michael Ho, Edward R. Melnick, Karen L. Staman, James A. Tulsky, Miguel A. Vazquez, Angelo Volandes, David Wendler
Learning Health Systems, 21 April 2025
Open Access
Abstract
Introduction
Pragmatic clinical trials conducted in the context of routine care frequently satisfy the regulatory criteria for a waiver of research consent. When they do, investigators and Institutional Review Boards might assume that there is no reason to communicate any information regarding the study to participants. Yet, this approach ignores the possibility that there may be value in providing information to participants, even when the study does not pose significant risks and researchers are not obtaining their consent.
Methods
Members of the NIH Collaboratory Ethics and Regulatory Core working group used ethical analysis to determine whether there are reasons to provide information to research participants, other than notifying them of significant risks or obtaining their consent. Study team members then provided examples of trials which illustrate the feasibility and different options for providing information to participants in the context of trials conducted with a waiver of research consent.
Results
Communicating information to participants can promote one or more of six goals: respect for persons, participant understanding of the research, participant understanding of their contributions, participant ability to voice any concerns, participant engagement, and trust and trustworthiness. Providing information can also raise potential concerns about feasibility and cost, which need to be balanced against these reasons to inform participants. Depending on the study, a variety of methods can be used to communicate information; for example, letters, email, flyers, posters, as well as brief conversations with clinicians.
Conclusion
Even when researchers are not obtaining participants’ consent, communicating information can promote one or more of six important goals. Providing information to participants should thus be the default for trials conducted under a waiver of research consent.

Human artificial placenta technology-trials: counselling and informed consent using healthcare professionals’ and parental perspectives

Human artificial placenta technology-trials: counselling and informed consent using healthcare professionals’ and parental perspectives
Basic Science Article
Angret de Boer, André Krom, Rania Kalaai, Marieke de Vries, Marije Hogeveen, Sylvia A. Obermann-Borst, Marijn Vermeulen, Juliette S. van Haren, Peter Andriessen, Martine C. de Vries, E. J. T. Verweij, Rosa Geurtzen
Pediatric Research, 16 April 2025
Abstract
Background
The Artificial Amnion and Placenta Technology (AAPT) is developed to improve outcomes of extremely premature birth, with first in-human trials expected in the coming years. Empirical research with key stakeholders is essential for responsibly designing these trials. This study aims to discuss considerations for counselling and informed consent for the first in-human trials of the AAPT, discussing legal and ethical considerations.
Methods
A qualitative study using both individual and focus group interviews with healthcare professionals (HCPs) and parents was performed. Interviews were thematically analysed.
Results
Fifteen parents and 46 HCPs were interviewed. The results are represented into key themes reflecting participants’ perspectives on: (I) the moral and legal status of the subject treated in AAPT trials, (II) the first participant: the pregnant person, and (III) the terminology used to describe the technology. Furthermore, considerations around the informed consent process and counselling, including parental hope, are described. The findings suggest these factors are interconnected, as the moral and legal context surrounding AAPT trials influences the approach to counselling and informed consent.
Conclusion
Resolving key ethical and legal issues important for counselling and informed consent is essential for establishing parental right and the development of a responsible, ethically sound informed consent process.

Impact

  • Addressing ethical and legal issues surrounding counseling and informed consent is essential to safeguard a responsible and ethically sound consent process for future human artificial amnion and placenta technology (AAPT)-trials.
  • This is the first study exploring stakeholder perspectives on the AAPT, highlighting the complexities in counselling and informed consent, such as the moral status of participants and the rights of all parties, which must be carefully navigated before trial designs can progress.
  • The article underscores the importance of establishing consensus and maintaining open dialogue among all stakeholders to create a robust, ethically grounded framework for informed consent in future trials.

Towards Excellence: Virtue and the Principle of Autonomy in Informed Consent for Clinical Trials

Towards Excellence: Virtue and the Principle of Autonomy in Informed Consent for Clinical Trials
Alexander Montes
The Journal of Medicine and Philosophy, 1 April 2025
Abstract
In this article, I argue that approximating virtues such as care and respectfulness are necessary to conduct an informed consent discussion for clinical trials adequately. I argue against Beauchamp and Childress’ principlism insofar as it claims that virtues do not have “advantages” over the principle of respecting autonomy. When we elaborate what it means to facilitate autonomy in a consent discussion adequately, we find we are describing the virtues. This is because virtues do have an advantage over principles insofar as virtues provide us with rich descriptions of not only what we should do (respect autonomy), but how to do so (with the virtues of respectfulness, care, etc.). Thus, the principle of respecting autonomy points back to the virtues. I conclude by showing how cultivation of these virtues can help rectify well-known shortcomings in the informed consent process.

The Second Legacy of Henrietta Lacks

The Second Legacy of Henrietta Lacks
Viewpoint
Jerry Menikoff
JAMA, 17 February 2025
Abstract
Henrietta Lacks has already provided the world with one extraordinary legacy: her cells were used to create the first cell line, which has produced uncountable medical breakthroughs since 1951. But history also puts her at the center of another important issue: determining the extent to which it is ethical to conduct secondary research on a nonidentified biospecimen without that person’s consent. Recent developments create an opportunity for the research community to take an important step forward in clarifying that issue.

Consent to recontact for future research using linked primary healthcare data: Outcomes and general practice perceptions from the ATHENA COVID-19 study

Consent to recontact for future research using linked primary healthcare data: Outcomes and general practice perceptions from the ATHENA COVID-19 study
Research Article
Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh, Mark Morgan, Maria Ximena Tolosa, Trisha Johnston, Carissa Bonner, Tony Stanton, Rosemary Korda
Clinical Trials, 29 December 2024
Abstract
Background
The ATHENA COVID-19 study was set up to recruit a cohort of patients with linked health information willing to be recontacted in future to participate in clinical trials and also to investigate the outcomes of people with COVID-19 in Queensland, Australia, using consent. This report describes how patients were recruited, their primary care data extracted, proportions consenting, outcomes of using the recontact method to recruit to a study, and experiences interacting with general practices requested to release the primary care data.
Methods
Patients diagnosed with COVID-19 from 1 January 2020 to 31 December 2020 were systematically approached to gain consent to have their primary healthcare data extracted from their general practice into a Queensland Health database and linked to other datasets for ethically approved research. Patients were also asked to consent to allow future recontact to discuss participation in clinical trials and other research studies. Patients who consented to recontact were later approached to recruit to a long-COVID study. Patients’ general practices were contacted to export the patient files. All patient and general practice interactions were recorded. Outcome measures were proportions of patients consenting to data extraction and research, permission to recontact, proportions of general practices agreeing to participate. A thematic analysis was conducted to assess attitudes regarding export of healthcare data, and the proportions consenting to participate in the long-COVID study were also reported.
Results
Of 1212 patients with COVID-19, contact details were available for 1155; 995 (86%) were successfully approached, and 842 (85%) reached a consent decision. Of those who reached a decision, 581 (69%), 615 (73%) and 629 (75%) patients consented to data extraction, recontact, and both, respectively. In all, 382 general practices were contacted, of whom 347 (91%) had an electronic medical record compatible for file export. Of these, 335 (88%) practices agreed to participate, and 12 (3%) declined. In total, 526 patient files were exported. The majority of general practices supported the study and accepted electronic patient consent as legitimate. For the long-COVID study, 376 (90%) of those patients recontacted agreed to have their contact details passed onto the long-COVID study team and 192 (53%) consented to take part in their study.
Conclusion
This report describes how primary care data were successfully extracted using consent, and that the majority of patients approached gave permission for their healthcare information to be used for research and be recontacted. The consent-to-recontact concept demonstrated its effectiveness to recruit to new research studies. The majority of general practices were willing to export identifiable patient healthcare data for linkage provided consent had been obtained.

Improving the compliance of informed consent documentation for expanded access patients

Improving the compliance of informed consent documentation for expanded access patients
Elias Samuels, Misty Gravelin, Ellen Champagne, Haj Ghaffari Dorsa, Jeanne Wright
Journal of Clinical and Translational Science, April 2025
Abstract
Objectives/Goals
The informed consent (IC) process is similar between clinical trials and expanded access (EA), which allows clinical use of investigational products outside studies. Physicians face unique barriers to IC in clinical environments. This project assesses IC documentation, identifies potential barriers, and evaluates efforts to improve compliance.
Methods/Study Population
This is a continuous quality improvement project. To assess the compliance of IC processes for EA patients, informed consent documents signed by EA patients in 2023 were collected and reviewed against institutional standards. Five components of each form were evaluated, and the number and type of noncompliant documentation were tracked. Five physicians who provided EA treatments in 2023 were interviewed and the transcripts were analyzed to identify barriers to physician’s and teams’ IC processes. Efforts made to address these barriers and improve the compliance of informed consent documentation are being tracked and trends in compliance are being evaluated.
Results/Anticipated Results
Sixty seven (67) signed informed consent documents for EA treatments were systematically reviewed and 34% were found to be compliant in all key aspects assessed. Analyses of interview notes, transcripts, and memos identified barriers to informed consent processes for expanded access treatments, including the infrequent or irregular occurrence of EA treatments making it difficult for care teams to develop and maintain their understanding of IC process and resources. Efforts made to improve compliance by pre-populating available information into informed consent documentation and removing unnecessary boxes in these forms may have driven improvement in compliance with further efforts underway.
Discussion/Significance of Impact
This project evaluated the compliance of IC documentation for EA treatments and identified drivers affecting physicians’ IC processes for these patients. Different strategies to improve the compliance of IC documentation were evaluated and potential best practices for EA support were identified.

Enhancing informed consent in oncological surgery through digital platforms and artificial intelligence

Enhancing informed consent in oncological surgery through digital platforms and artificial intelligence
Review Article
Alex Boddy
Clinical Surgical Oncology, June 2025
Open Access
Abstract
Informed consent is a cornerstone of ethical medical practice, particularly in high-stakes oncological surgery where treatment options are complex and risks are significant. This paper explores the potential of digital platforms and artificial intelligence (AI) to enhance the informed consent process. The traditional consent process, reliant on face-to-face interactions and paper-based documentation, is increasingly being supplemented by digital solutions that offer remote consultations, personalized patient information, and electronic consent forms. These digital pathways not only improve accessibility and patient comprehension but also streamline documentation, reducing errors and administrative burdens. AI technologies, including ambient digital scribes and large language models (LLMs), could further augment this process by generating personalized risk assessments, simplifying complex medical information, and facilitating multilingual communication. However, success will also depend on addressing ethical concerns, ensuring equitable access, and preserving the irreplaceable human connection between patients and clinicians. By augmenting rather than replacing clinician expertise, digital platforms and AI can empower patients to make truly informed decisions in oncological care.

The Digital Double: Data Privacy, Security, and Consent in AI Implants

The Digital Double: Data Privacy, Security, and Consent in AI Implants
Research Article
Omid Panahi, Soren Falkner
Digital Journal of Engineering Science and Technology, 17 March 2025
Open Access
Abstract
Artificial intelligence (AI) implants are rapidly emerging as a transformative technology with the potential to revolutionize healthcare, enhance human capabilities, and blur the boundaries between humans and machines. However, the integration of AI into the human body raises complex ethical, legal, and social questions, particularly concerning data privacy, security, and consent. This paper explores the concept of the “digital double,” a virtual representation of an individual generated from the data collected by AI implants. It examines the potential benefits and risks of creating and utilizing digital doubles, focusing on the implications for data privacy, security, and informed consent. The paper analyses the challenges of protecting sensitive health information, ensuring data security, and obtaining meaningful consent from individuals with AI implants. It also discusses the potential for misuse and abuse of digital doubles, including unauthorized access, surveillance, and discrimination. Finally, the paper proposes a framework for addressing these challenges, emphasizing the need for robust data protection measures, transparent consent processes, and ethical guidelines to safeguard individual autonomy and privacy in the age of AI implants.

Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI

Editor’s Note:
The following Barnes et al. article “ Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI” has been previously shared in this digest. We are sharing it again as this target article in the American Journal of Bioethics has resulted in a number of peer commentaries which follow below. These commentaries offer a range of perspectives on biobanking, blockchain and generative AI and consent. These are areas which we continue to examine in our work.  

Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI
Caspar Barnes, Mateo Riobo Aboy, Timo Minssen, Jemima Winifred Allen, Brian D. Earp, Julian Savulescu
The American Journal of Bioethics, 5 November 2024
Abstract
Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel consent framework which we call “demonstrated consent” that leverages blockchain technology and generative AI to address this problem. In a demonstrated consent model, each donated sample is associated with a unique non-fungible token (NFT) on a blockchain, which records in its metadata information about the planned and past uses of the sample in research, and is updated with each use of the sample. This information is accessible to a large language model (LLM) customized to present this information in an understandable and interactive manner. Thus, our model uses blockchain and generative AI technologies to track, make available, and explain information regarding planned and past uses of donated samples.