Individual consent in cluster randomised trials for non-pharmaceutical interventions: going beyond the Ottawa statement

Individual consent in cluster randomised trials for non-pharmaceutical interventions: going beyond the Ottawa statement
Research Paper
Marissa LeBlanc, Jon Williamson, Francesco De Pretis, Jürgen Landes, Elena Rocca
Critical Public Health, 18 April 2024
Abstract
This paper discusses the issue of overriding the right of individual consent to participation in cluster randomised trials (CRTs). We focus on CRTs testing the efficacy of non-pharmaceutical interventions. As an example, we consider school closures during the COVID-19 pandemic. In Norway, a CRT was promoted as necessary for providing the best evidence to inform pandemic management policy. However, the proposal was rejected by the Norwegian Research Ethics Committee since it would violate the requirement for individual informed consent. This sparked debate about whether ethics stand in the way of evidence-based health policy, since the Norwegian Research Ethics law’s strict requirements for individual consent make it practically impossible to carry out CRTs of public health interventions. We argue that, in the case of the school closure trial, the suggested CRT would not have eliminated an epistemic gap and thus would not have justified the violation of consent rights. First, we focus on the methodological challenges to estimating quantifiable effects of school closures in the specific case of an airborne infectious disease. Second, in line with Evidential Pluralism, we highlight the value of alternative lines of evidence for informing school closure policy in a pandemic. In general, we propose that a trial requiring the waiver of participants’ consent rights must be highly likely to eliminate an epistemic gap. We elaborate on the practical aspects of this criterion and discuss the potential advantages of adding it to the Ottawa Statement on the Ethical Design and Conduct of Cluster Randomized Trials.

Analysis of informed consent documents for compliance with ICMR guidelines for biomedical and health research

Analysis of informed consent documents for compliance with ICMR guidelines for biomedical and health research
Original Article
Chaitali Ashish Chindhalore, Ganesh N. Dakhale, Snehalata V. Gajbhiye, Ashish Vijay Gupta, Shivam V Khapeka
Perspectives in Clinical Research, 8 April 2024
Abstract
Background
Ethical conduct of research depends on the voluntary expression of consent and adequate disclosure of information about the research in informed consent documents (ICDs).
Objectives
The objective of this study was to analyze ICDs of academic studies for compliance with National Ethical Guidelines for Biomedical and Health Research laid down by the Indian Council of Medical Research (ICMR) and to determine the readability of ICDs using the Flesch–Kincaid Grade Level scale and Flesch reading-ease (FRE) score.
Methodology
ICDs of academic research projects submitted during 2020–22 were retrieved from the IEC office and analyzed for compliance with ICMR 2017 guidelines. The readability of the documents was assessed by the Flesch–Kincaid Grade Level Scale and FRE score.
Results
Among 177 protocols analyzed, the most common were epidemiological studies (36.72%), followed by diagnostic studies (28.81%). Vernacular translations of ICDs were present in significantly more studies in 2022 (χ2 = 7.18, P = 0.02) as compared to 2020 and 2021. FREs score was 45.75 ± 10.76, and Flesch–Kincaid Grade Level was 8.67 ± 1.44. Content analysis of participant information sheet (PIS) revealed that significantly more PIS submitted in 2022 mentioned expected duration of participation (χ2 = 6.95, P < 0.001), benefit to patient/community (χ2 = 26.63, P < 0.001), disclosure of foreseeable risk or discomfort (χ2 = 21.72, P < 0.001), payment for participation (χ2 = 21.72, P < 0.001), and identity of research team and contact details (χ2 = 18.58, P < 0.001). Compliance score was significantly better in 2022 as compared to 2020 and 2021.
Conclusion
Gradually, ICDs became more compliant with ICMR guidelines. Still, there is scope for improvement in ICDs regarding content and readability so that patients can comprehend facts easily to make informed decisions in a real sense.

Alternative consent methods used in the multinational, pragmatic, randomised clinical trial SafeBoosC-III

Alternative consent methods used in the multinational, pragmatic, randomised clinical trial SafeBoosC-III
Research
Maria Linander Vestager, Mathias Lühr Hansen, Gorm Greisen, SafeBoosC-III trial group
Trials, 4 April 2024
Open Access
Abstract
Background
The process of obtaining prior informed consent for experimental treatment does not fit well into the clinical reality of acute and intensive care. The therapeutic window of interventions is often short, which may reduce the validity of the consent and the rate of enrolled participants, to delay trial completion and reduce the external validity of the results. Deferred consent and ‘opt-out’ are alternative consent methods. The SafeBoosC-III trial was a randomised clinical trial investigating the benefits and harms of cerebral oximetry monitoring in extremely preterm infants during the first 3 days after birth, starting within the first 6 h after birth. Prior, deferred and opt-out consent were all allowed by protocol. This study aimed to evaluate the use of different consent methods in the SafeBoosC-III trial, Furthermore, we aimed to describe and analyse concerns or complaints that arose during the first 6 months of trial conduct.
Methods
All 70 principal investigators were invited to join this descriptive ancillary study. Each principal investigator received a questionnaire on the use of consent methods in their centre during the SafeBoosC-III trial, including the possibility to describe any concerns related to the consent methods used during the first 6 months of the trial, as raised by the parents or the clinical staff.
Results
Data from 61 centres were available. In 43 centres, only prior informed consent was used: in seven, only deferred consent. No centres used the opt-out method only, but five centres used prior and deferred, five used prior, deferred and opt-out (all possibilities) and one used both deferred and opt-out. Six centres applied to use the opt-out method by their local research ethics committee but were denied using it. One centre applied to use deferred consent but was denied. There were only 23 registered concerns during the execution of the trial.
Conclusions
Consent by opt-out was allowed by the protocol in this multinational trial but only a few investigators opted for it and some research ethics boards did not accept its use. It is likely to need promotion by the clinical research community to unfold its potential.

No recognised ethical standards, no broad consent: navigating the quandary in computational social science research

No recognised ethical standards, no broad consent: navigating the quandary in computational social science research
Research Article
Seliem El-Sayed, Filip Paspalj
Research Ethics, 19 April 2024
Open Access
Abstract
Recital 33 GDPR has often been interpreted as referring to ‘broad consent’. This version of informed consent was intended to allow data subjects to provide their consent for certain areas of research, or parts of research projects, conditional to the research being in line with ‘recognised ethical standards’. In this article, we argue that broad consent is applicable in the emerging field of Computational Social Science (CSS), which lies at the intersection of data science and social science. However, the lack of recognised ethical standards specific to CSS poses a practical barrier to the use of broad consent in this field and other fields that lack recognised ethical standards. Upon examining existing research ethics standards in social science and data science, we argue that they are insufficient for CSS. We further contend that the fragmentation of European Union (EU) law and research ethics sources makes it challenging to establish universally recognised ethical standards for scientific research. As a result, CSS researchers and other researchers in emerging fields that lack recognised ethical standards are left without sufficient guidance on the use of broad consent as provided for in the GDPR. We conclude that responsible EU bodies should provide additional guidance to facilitate the use of broad consent in CSS research.

AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research

AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research
Sophia M. Pressman, Sahar Borna, Cesar A. Gomez-Cabello, Syed A. Haider, Clifton Haider, Antonio J. Forte
Healthcare, 13 April 2024; 12(8)
Abstract
Introduction
As large language models receive greater attention in medical research, the investigation of ethical considerations is warranted. This review aims to explore surgery literature to identify ethical concerns surrounding these artificial intelligence models and evaluate how autonomy, beneficence, nonmaleficence, and justice are represented within these ethical discussions to provide insights in order to guide further research and practice.
Methods
A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Five electronic databases were searched in October 2023. Eligible studies included surgery-related articles that focused on large language models and contained adequate ethical discussion. Study details, including specialty and ethical concerns, were collected.
Results
The literature search yielded 1179 articles, with 53 meeting the inclusion criteria. Plastic surgery, orthopedic surgery, and neurosurgery were the most represented surgical specialties. Autonomy was the most explicitly cited ethical principle. The most frequently discussed ethical concern was accuracy (n = 45, 84.9%), followed by bias, patient confidentiality, and responsibility.
Conclusion
The ethical implications of using large language models in surgery are complex and evolving. The integration of these models into surgery necessitates continuous ethical discourse to ensure responsible and ethical use, balancing technological advancement with human dignity and safety.

Investigating the Impact of AI on Shared Decision-Making in Post-Kidney Transplant Care (PRIMA-AI): Protocol for a Randomized Controlled Trial

Investigating the Impact of AI on Shared Decision-Making in Post-Kidney Transplant Care (PRIMA-AI): Protocol for a Randomized Controlled Trial
Bilgin Osmanodja, Zeineb Sassi, Sascha Eickmann, Carla Maria Hansen, Roland Roller, Aljoscha Burchardt, David Samhammer, Peter Dabrock, Sebastian Möller, Klemens Budde, Anne Herrmann
JMIR Research Protocols, 1 April 2024
Abstract
Background
Patients after kidney transplantation eventually face the risk of graft loss with the concomitant need for dialysis or retransplantation. Choosing the right kidney replacement therapy after graft loss is an important preference-sensitive decision for kidney transplant recipients. However, the rate of conversations about treatment options after kidney graft loss has been shown to be as low as 13% in previous studies. It is unknown whether the implementation of artificial intelligence (AI)–based risk prediction models can increase the number of conversations about treatment options after graft loss and how this might influence the associated shared decision-making (SDM).
Objective
This study aims to explore the impact of AI-based risk prediction for the risk of graft loss on the frequency of conversations about the treatment options after graft loss, as well as the associated SDM process.
Methods
This is a 2-year, prospective, randomized, 2-armed, parallel-group, single-center trial in a German kidney transplant center. All patients will receive the same routine post–kidney transplant care that usually includes follow-up visits every 3 months at the kidney transplant center. For patients in the intervention arm, physicians will be assisted by a validated and previously published AI-based risk prediction system that estimates the risk for graft loss in the next year, starting from 3 months after randomization until 24 months after randomization. The study population will consist of 122 kidney transplant recipients >12 months after transplantation, who are at least 18 years of age, are able to communicate in German, and have an estimated glomerular filtration rate <30 mL/min/1.73 m2. Patients with multi-organ transplantation, or who are not able to communicate in German, as well as underage patients, cannot participate. For the primary end point, the proportion of patients who have had a conversation about their treatment options after graft loss is compared at 12 months after randomization. Additionally, 2 different assessment tools for SDM, the CollaboRATE mean score and the Control Preference Scale, are compared between the 2 groups at 12 months and 24 months after randomization. Furthermore, recordings of patient-physician conversations, as well as semistructured interviews with patients, support persons, and physicians, are performed to support the quantitative results.
Results
The enrollment for the study is ongoing. The first results are expected to be submitted for publication in 2025.
Conclusions
This is the first study to examine the influence of AI-based risk prediction on physician-patient interaction in the context of kidney transplantation. We use a mixed methods approach by combining a randomized design with a simple quantitative end point (frequency of conversations), different quantitative measurements for SDM, and several qualitative research methods (eg, records of physician-patient conversations and semistructured interviews) to examine the implementation of AI-based risk prediction in the clinic.

Monitoring Mental Health: Legal and Ethical Considerations of Using Artificial Intelligence in Psychiatric Wards

Monitoring Mental Health: Legal and Ethical Considerations of Using Artificial Intelligence in Psychiatric Wards
Barry Solaiman, Abeer Malik, Suhaila Ghuloum
American Journal Of Law & Medicine, 12 February 2024
Abstract
Artificial intelligence (AI) is being tested and deployed in major hospitals to monitor patients, leading to improved health outcomes, lower costs, and time savings. This uptake is in its infancy, with new applications being considered. In this Article, the challenges of deploying AI in mental health wards are examined by reference to AI surveillance systems, suicide prediction and hospital administration. The examination highlights risks surrounding patient privacy, informed consent, and data considerations. Overall, these risks indicate that AI should only be used in a psychiatric ward after careful deliberation, caution, and ongoing reappraisal.

From opt-out to opt-in consent for secondary use of medical data and residual biomaterial: An evaluation using the RE-AIM framework

From opt-out to opt-in consent for secondary use of medical data and residual biomaterial: An evaluation using the RE-AIM framework
Research Article
Jennifer E. Lutomski, Peggy Manders
PLOS One, 28 March 2024
Open Access
Abstract
Background
Patient records, imaging, and residual biomaterial from clinical procedures are crucial resources for medical research. In the Netherlands, consent for secondary research has historically relied on opt-out consent. For ethical-legal experts who purport passive consent undermines patient autonomy, opt-in consent (wherein affirmative action is required) is seen as the preferred standard. To date, there is little empirical research exploring patient feasibility, organizational consequences, and the potential risks for research based on secondary data. Thus, we applied the RE-AIM framework to evaluate the impact of migrating from an opt-out to an opt-in consent process.
Methods
This evaluation was carried out in Radboud University Medical Center, a large tertiary hospital located in the southeast of the Netherlands. All non-acute, mentally competent patients ≥16 years of age registered between January 13, 2020 and June 30, 2023 were targeted (N = 101,437). In line with the RE-AIM framework, individual and organizational consequences were evaluated across five domains: reach, efficacy, adoption, implementation, and maintenance.
Results
101,437 eligible patients were approached of whom 66,214 (65.3%) consented, 8,059 (7.9%) refused consent and 27,164 (26.8%) had no response. Of the 74,273 patients with a response, 89.1% consented to secondary use. The migration to an opt-in consent system was modestly successful; yet notably, differential response patterns by key sociodemographic characteristics were observed. Adaptions to the process flow improved its effectiveness and resulted in a reasonable response over time. Implementation was most affected by budgetary restraints, thus impeding the iterative approach which could have further improved domain outcomes.
Conclusion
This evaluation provides an overview of logistical and pragmatic issues encountered when migrating from opt-out to opt-in consent. Response bias remains a major concern. Though not always directly transferable, these lessons can be broadly used to inform other health care organizations of the potential advantages and pitfalls of an opt-in consent system.

GDPR Requirements for Biobanking Activities Across Europe

GDPR Requirements for Biobanking Activities Across Europe
Book
Valentina Colcelli, Roberto Cippitani, Christoph Brochhausen-Delius, Rainer Arnold
Springer, 2023
About this book
The book deals with the effective operation of the rules related to biomedical research and pays attention to the activities of the national legislatures of the 27 Member States in the field of scientific research. This multilevel system has an impact on biobanking activity. The book answers questions realized by operators on the main biobanks around the EU in the field of GDPR. The authors and editors used the questions born from brainstorming among members of the Association European, Middle East & Africa for Biopreservation and Biobanking (ESBB) to offer to the operators in biobanking activity and researchers quickly answer to their daily questions, but with authors highest quality. Further the book provides a comprehensive review of the rapidly expanding field of biobanking. It provides researchers and scholars working on biobanking and bio-sharing and more in general in the university hospitals and clinical trial consortiums, and companies, biomedical researchers, but also jurists and the professionals (in particular judges, lawyers, officers) an instrument rigorous but easy to use of the GDPR in the case of biobanking activities. The book identifies a methodological path to tackle the legal or ethical problem on a specific scientific-technological to verify existing solutions and give ideas for future applications. The importance of the legal solution influences the implementation of the development of the biobanking activity service itself.

Improving Patient Information and Enhanced Consent in Urology: The Impact of Simulation and Multimedia Tools. A Systematic Literature Review from the European Association of Urology Patient Office

Improving Patient Information and Enhanced Consent in Urology: The Impact of Simulation and Multimedia Tools. A Systematic Literature Review from the European Association of Urology Patient Office
Review – Education
Carlotta Nedbal, Patrick Juliebø-Jones, Eamonn Rogers, James N’Dow, Maria Ribal, Jens Rassweiler, Evangelos Liatsikos, Hein Van Poppel, Bhaskar
European Urology, 25 April 2024
Abstract
Background and objective
Discussions surrounding urological diagnoses and planned procedures can be challenging, and patients might experience difficulty in understanding the medical language, even when shown radiological imaging or drawings. With the introduction of virtual reality and simulation, informed consent could be enhanced by audiovisual content and interactive platforms. Our aim was to assess the role of enhanced consent in the field of urology.
Methods
A systematic review of the literature was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, using informed consent, simulation, and virtual reality in urology as the search terms. All original articles were screened.
Key findings and limitations
Thirteen original studies were included in the review. The overall quality of these studies was deemed good according to the Newcastle-Ottawa Scale. The studies analysed the application of different modalities for enhanced consent: 3D printed or digital models, audio visual multimedia contents, virtual simulation of procedures and interactive navigable apps. Published studies agreed upon a significantly improved effect on patient understanding of the diagnosis, including basic anatomical details, and surgery-related issues such as the aim, steps and the risks connected to the planned intervention. Patient satisfaction was unanimously reported as improved as a result of enhanced consent.
Conclusions and clinical implications
Simulation and multimedia tools are extremely valuable for improving patients’ understanding of and satisfaction with urological procedures. Widespread application of enhanced consent would represent a milestone for patient-urologist communication.
Patient summary
Several multimedia tools can be used to improve patients’ understanding of urological conditions and procedures, such as simulation and models. Use of these tools for preoperative discussion enhances knowledge and patient satisfaction, resulting in more realistic patient expectations and better informed consent.