Informed consent in genomics and genetic research

A contextual integrity approach to genomic information: what bioethics can learn from big data ethics

Genomic data is generated, processed and analysed at an increasingly rapid pace. This data is not limited to the medical context, but plays an important role in other contexts in society, such as commercial DNA testing, the forensic setting, archaeological research, and genetic surveillance. Genomic information also crosses the borders of these domains, e.g. forensic use of medical genetic information, insurance use of medical genomic information, or research use of commercial genomic data. This paper (1) argues that an informed consent approach for genomic information has limitations in many societal contexts, and (2) seeks to broaden the bioethical debate on genomic information by suggesting an approach that is applicable across multiple societal contexts. I argue that the contextual integrity framework, a theory rooted in information technology and big data ethics, is an effective tool to explore ethical challenges that arise from genomic information within a variety of different contexts. Rather than focusing on individual control over information, the contextual integrity approach holds that information should be shared and protected according to the norms that govern certain distinct social contexts. Several advantages of this contextual integrity approach will be discussed. The paper concludes that the contextual integrity framework helps to articulate and address a broad spectrum of ethical, social, and political factors in a variety of different societal contexts, while giving consideration to the interests of individuals, groups, and society at large.

Waiving the consent requirement to mitigate bias in observational precision medicine research

Consent bias is a type of selection bias in biomedical research where those consenting to the research differ systematically from those not consenting. It is particularly relevant in precision medicine research because the complexity of these studies prevents certain subgroups from understanding, trusting, and consenting to the research. Because consent bias distorts research findings and causes inequitable distribution of research benefits, scholars propose two types of schemes to reduce consent bias: reforming existing consent models and removing the consent requirement altogether. This study explores the possibility of waiving consent in observational studies using existing data, because they involve fewer risks to participants than clinical trials if privacy safeguards are strengthened. It suggests that data protection mechanisms such as security enhancement and data protection impact assessment should be conducted to protect data privacy of participants in observational studies without consent.

Informed proxy consent for ancient DNA research

Embracing the underlying principles and processes of informed proxy consent or relational autonomy consent in human ancient DNA research can transform research.

Secondary use of genomic data: patients' decisions at point of testing and perspectives to inform international data sharing

International sharing of genomic data files arising from clinical testing of patients is essential to further improve genomic medicine. Whilst the general public are reluctant to donate DNA for research, the choices patients actually make about sharing their clinical genomic data for future re-use (research or clinical) are unknown. We ascertained the data-sharing choices of 1515 patients having genomic testing for inherited conditions or cancer treatment from clinical consent forms. To understand the experiences and preferences of these patients, surveys were administered after test consent (RR 73%). Almost all patients (98%) consented to share their data. Survey respondents' decision recall was high (90%), but poorer if English was an additional language (p < 0.001). Parents deciding on behalf of children were over-represented amongst data-sharing decliners (p = 0.047) and decliners were more likely to believe that stored data could be easily reidentified (p < 0.001). A quarter of respondents did not know if reidentification would be easy and 44% of them were concerned about this possibility. Of those willing to share data overseas (60%), 23% indicated the recipient researcher's country would affect their decision. Most respondents (89%) desired some ongoing control over research use of their data. Four preliminary data-sharing profiles emerged; their further development could inform tailored patient resources. Our results highlight considerations for establishment of systems to make clinical genomic data files available for reanalysis locally and across borders. Patients' willingness to share their data - and value of the resulting research - should encourage clinical laboratories to consider sharing data systematically for secondary uses.

Using a chat-based informed consent tool in large-scale genomic research

OBJECTIVE

We implemented a chatbot consent tool to shift the time burden from study staff in support of a national genomics research study.

MATERIALS AND METHODS

We created an Institutional Review Board-approved script for automated chat-based consent. We compared data from prospective participants who used the tool or had traditional consent conversations with study staff.

RESULTS

Chat-based consent, completed on a user's schedule, was shorter than the traditional conversation. This did not lead to a significant change in affirmative consents. Within affirmative consents and declines, more prospective participants completed the chat-based process. A quiz to assess chat-based consent user understanding had a high pass rate with no reported negative experiences.

CONCLUSION

Our report shows that a structured script can convey important information while realizing the benefits of automation and burden shifting. Analysis suggests that it may be advantageous to use chatbots to scale this rate-limiting step in large research projects.

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

Genomic information is increasingly used to inform medical treatments and manage future disease risks. However, any personal and societal gains must be carefully balanced against the risk to individuals contributing their genomic data. Expanding our understanding of actionable genomic insights requires researchers to access large global datasets to capture the complexity of genomic contribution to diseases. Similarly, clinicians need efficient access to a patient's genome as well as population-representative historical records for evidence-based decisions. Both researchers and clinicians hence rely on participants to consent to the use of their genomic data, which in turn requires trust in the professional and ethical handling of this information. Here, we review existing and emerging solutions for secure and effective genomic information management, including storage, encryption, consent, and authorization that are needed to build participant trust. We discuss recent innovations in cloud computing, quantum-computing-proof encryption, and self-sovereign identity. These innovations can augment key developments from within the genomics community, notably GA4GH Passports and the Crypt4GH file container standard. We also explore how decentralized storage as well as the digital consenting process can offer culturally acceptable processes to encourage data contributions from ethnic minorities. We conclude that the individual and their right for self-determination needs to be put at the center of any genomics framework, because only on an individual level can the received benefits be accurately balanced against the risk of exposing private information.

Navigating ethical challenges in psychological research involving digital remote technologies and people who use alcohol or drugs

Digital and remote technologies (DRT) are increasingly being used in scientific investigations to objectively measure human behavior during day-to-day activities. Using these devices, psychologists and other behavioral scientists can investigate health risk behaviors, such as drug and alcohol use, by closely examining the causes and consequences of monitored behaviors as they occur naturalistically. There are, however, complex ethical issues that emerge when using DRT methodologies in research with people who use substances. These issues must be identified and addressed so DRT devices can be incorporated into psychological research with this population in a manner that comports the ethical standards of the American Psychological Association. In this article, we discuss the ethical ramifications of using DRT in behavioral studies with people who use substances. Drawing on allied fields with similar ethical issues, we make recommendations to researchers who wish to incorporate DRT into their own research. Major topics include (a) threats to and methods for protecting participant and nonparticipant privacy, (b) shortcomings of traditional informed consent in DRT research, (c) researcher liabilities introduced by real-time continuous data collection, (d) threats to distributive justice arising from computational tools often used to manage and analyze DRT data, and (e) ethical implications of the "digital divide." We conclude with a more optimistic discussion of how DRT may provide safer alternatives to gold standard paradigms in substance use research, allowing researchers to test hypotheses that were previously prohibited on ethical grounds. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The reuse of genetic information in research and informed consent

Important advances in genetics research have been made in recent years. Such advances have facilitated the availability of huge amounts of genetic information that could potentially be reused beyond the original purpose for which such information was obtained. Any such reuse must meet certain ethical criteria to ensure that the dignity, integrity, and autonomy of the individual from whom that information was obtained are protected. The aim of this paper is to reflect on these criteria through a critical analysis of the literature. To guarantee these values, ethical criteria need to be established in several respects. For instance, the question must be posed whether the information requires special attention and protection (so-called genetic exceptionalism). Another aspect to bear in mind is the most appropriate type of consent to be given by the person involved, on the one hand favouring research and the reuse of genetic information while on the other protecting the autonomy of that person. Finally, there is a need to determine what protection such reuse should have in order to avoid detrimental consequences and protect the rights of the individual. The main conclusions are that genetic information requires special care and protection (genetic exceptionalism) and that broad consent is the most practical and trustworthy type of consent for the reuse of genetic information.

Consideration and Disclosure of Group Risks in Genomics and Other Data-Centric Research: Does the Common Rule Need Revision?

Harms and risks to groups and third-parties can be significant in the context of research, particularly in data-centric studies involving genomic, artificial intelligence, and/or machine learning technologies. This article explores whether and how United States federal regulations should be adapted to better align with current ethical thinking and protect group interests. Three aspects of the Common Rule deserve attention and reconsideration with respect to group interests: institutional review board (IRB) assessment of the risks/benefits of research; disclosure requirements in the informed consent process; and criteria for waivers of informed consent. In accordance with respect for persons and communities, investigators and IRBs should systematically consider potential group harm when designing and reviewing protocols, respectively. Research participants should be informed about any potential group harm in the consent process. We call for additional public discussion, empirical research, and normative analysis on these issues to determine the right regulatory and policy path forward.

Optimizing Informed Consent in Cancer Clinical Trials

The concept of informed consent has evolved considerably over the course of the 20th century, leading to its establishment as a foundational ethical principle for the conduct of biomedical research in the United States. Even though it is now a highly regulated part of cancer research, the process of obtaining informed consent is often impeded by systemic, clinician, and patient factors that require both small- and large-scale intervention. New challenges and considerations continue to emerge due to innovations in clinical trial design, increases in utilization of genomic sequencing, and advances in genomic editing and artificial intelligence. We present a review of the history, policy, pragmatic challenges, and evolving role of the central ethical tenet of informed consent in clinical trials.

Toward an open access genomics database of South Africans: ethical considerations

Genomics research holds the potential to improve healthcare. Yet, a very low percentage of the genomic data used in genomics research internationally relates to persons of African origin. Establishing a large-scale, open access genomics database of South Africans may contribute to solving this problem. However, this raises various ethics concerns, including privacy expectations and informed consent. The concept of open consent offers a potential solution to these concerns by (a) being explicit about the research participant's data being in the public domain and the associated privacy risks, and (b) setting a higher-than-usual benchmark for informed consent by making use of the objective assessment of prospective research participants' understanding. Furthermore, in the South African context-where local culture is infused with Ubuntu and its relational view of personhood-community engagement is vital for establishing and maintaining an open access genomics database of South Africans. The South African National Health Research Ethics Council is called upon to provide guidelines for genomics researchers-based on open consent and community engagement-on how to plan and implement open access genomics projects.

Respecting values and perspectives in biobanking and genetic research governance: Outcomes of a qualitative study in Bengaluru, India

Background: The promise of biobanking and genetic research (BGR) in the context of translational research towards improving public health and personalised medicine has been recognised in India. Worldwide experience has shown that incorporating stakeholders' expectations and values into the governance of BGR is essential to address ethical aspects of BGR.  This paper draws on engagement with various stakeholders in the South Indian city of Bengaluru to understand how incorporating people's values and beliefs can inform policy making decisions and strengthen BGR governance within India. Methods: We adopted a qualitative research approach and conducted six focus group discussions with civil society members and seven in-depth interviews with key informants in BGR, identified through a targeted web search and snowballing methods, until data saturation was reached. Data were thematically analysed to identify emergent patterns. Results: Specific themes relating to the ethics and governance of BGR emerged. Fears and uncertainty about future sample and data use, possibilities of discrimination and exploitation in the use of findings and the lack of comprehensive data protection policies in India along with expectations of enhanced contributor agency, control in future use of samples and data, benefit sharing, enhanced utility of samples, sustained BGR and public good, reflected tensions between different stakeholders' values and beliefs. Fair governance processes through an independent governance committee for biobanks and a system of ongoing engagement with stakeholders emerged as best practice towards building trust and respecting diversity of views and values. Conclusions: Ensuring public trust in BGR requires listening to stakeholders' voices, being open to counter narratives, and a commitment to long term engagement embedded in principles of participatory democracy. This is central to a 'people-centred governance framework' involving a negotiated middle ground and an equilibrium of governance which promotes social justice by being inclusive, transparent, equitable, and trustworthy.

"Development and Implementation of Novel Chatbot-based Genomic Research Consent"

Objective

To conduct a retrospective analysis comparing traditional human-based consenting to an automated chat-based consenting process.

Materials and Methods

We developed a new chat-based consent using our IRB-approved consent forms. We leveraged a previously developed platform (GiaⓇ, or "Genetic Information Assistant") to deliver the chat content to candidate participants. The content included information about the study, educational information, and a quiz to assess understanding. We analyzed 144 families referred to our study during a 6-month time period. A total of 37 families completed consent using the traditional process, while 35 families completed consent using Gia.

Results

Engagement rates were similar between both consenting methods. The median length of the consent conversation was shorter for Gia users compared to traditional (44 vs. 76 minutes). Additionally, the total time from referral to consent completion was faster with Gia (5 vs. 16 days). Within Gia, understanding was assessed with a 10-question quiz that most participants (96%) passed. Feedback about the chat consent indicated that 86% of participants had a positive experience.

Discussion

Using Gia resulted in time savings for both the participant and study staff. The chatbot enables studies to reach more potential candidates. We identified five key features related to human-centered design for developing a consent chat.

Conclusion

This analysis suggests that it is feasible to use an automated chatbot to scale obtaining informed consent for a genomics research study. We further identify a number of advantages when using a chatbot.

Feedback of individual genetic and genomics research results: A qualitative study involving grassroots communities in Uganda

BACKGROUND

Genetics and genomics research (GGR) is associated with several challenges including, but not limited to, methods and implications of sharing research findings with participants and their family members, issues of confidentiality, and ownership of data obtained from samples. Additionally, GGR holds significant potential risk for social and psychological harms. Considerable research has been conducted globally, and has advanced the debate on return of genetic and genomics testing results. However, such investigations are limited in the African setting, including Uganda where research ethics guidance on return of results is deficient or suboptimal at best. The objective of this study was to assess perceptions of grassroots communities on if and how feedback of individual genetics and genomics testing results should occur in Uganda with a view to improving ethics guidance.

METHODS

This was a cross-sectional study that employed a qualitative exploratory approach. Five deliberative focus group discussions (FGDs) were conducted with 42 participants from grassroots communities representing three major ethnic groupings. These were rural settings and the majority of participants were subsistence farmers with limited or no exposure to GGR. Data were analysed through thematic analysis, with both deductive and inductive approaches applied to interrogate predetermined themes and to identify any emerging themes. NVivo software (QSR international 2020) was used to support data analysis and illustrative quotes were extracted.

RESULTS

All the respondents were willing to participate in GGR and receive feedback of results conditional upon a health benefit. The main motivation was diagnostic and therapeutic benefits as well as facilitating future health planning. Thematic analysis identified four themes and several sub-themes including 1) the need-to-know health status 2) paternity information as a benefit and risk; 3) ethical considerations for feedback of findings and 4) extending feedback of genetics findings to family and community.

CONCLUSION

Participation in hypothetical GGR as well as feedback of results is acceptable to individuals in grassroots communities. However, the strong therapeutic and/or diagnostic misconception linked to GGR is concerning given that hopes for therapeutic and/or diagnostic benefit are unfounded. Viewing GGR as an opportunity to confirm or dispute paternity was another interesting perception. These findings carry profound implications for consent processes, genetic counselling and research ethics guidance. Privacy and confidentiality, benefits, risks as well as implications for sharing need to be considered for such feedback of results to be conducted appropriately.

Social and scientific motivations to move beyond groups in allele frequencies: The TOPMed experience

For the genomics community, allele frequencies within defined groups (or "strata") are useful across multiple research and clinical contexts. Benefits include allowing researchers to identify populations for replication or "look up" studies, enabling researchers to compare population-specific frequencies to validate findings, and facilitating assessment of variant pathogenicity in clinical contexts. However, there are potential concerns with stratified allele frequencies. These include potential re-identification (determining whether or not an individual participated in a given research study based on allele frequencies and individual-level genetic data), harm from associating stigmatizing variants with specific groups, potential reification of race as a biological rather than a socio-political category, and whether presenting stratified frequencies-and the downstream applications that this presentation enables-is consistent with participants' informed consents. The NHLBI Trans-Omics for Precision Medicine (TOPMed) program considered the scientific and social implications of different approaches for adding stratified frequencies to the TOPMed BRAVO (Browse All Variants Online) variant server. We recommend a novel approach of presenting ancestry-specific allele frequencies using a statistical method based upon local genetic ancestry inference. Notably, this approach does not require grouping individuals by either predominant global ancestry or race/ethnicity and, therefore, mitigates re-identification and other concerns as the mixture distribution of ancestral allele frequencies varies across the genome. Here we describe our considerations and approach, which can assist other genomics research programs facing similar issues of how to define and present stratified frequencies in publicly available variant databases.

Towards a Design Toolkit of Informed Consent Models Across Fields: A Systematic Review

In the 60+ years that the modern concept of informed consent has been around, researchers in various fields of practice, especially medical ethics, have developed new models to overcome theoretical and practical problems. While (systematic) literature reviews of such models exist within given fields (e.g., genetic screening), this article breaks ground by analyzing academic literature on consent models across fields. Three electronic research databases (Scopus, Google Scholar, and Web of Science) were searched for publications mentioning informed consent models. The titles, abstracts, and if applicable, full publications were screened and coded. The resulting data on fields, models, and themes were then analyzed. We scanned 300 sources from three databases to find 207 uniquely named consent models, and created a network visualization displaying which models occur primarily in one field, and which models overlap between fields. This analysis identifies trends in the consent debate in different fields, as well as common goals of consent models. The most frequently occurring consent models are identified and defined. The analysis contributes toward a cross-disciplinary "consent design toolkit" and highlights that there are more interrelationships between models and fields than are acknowledged in the literature. Where some models are designed to solve distinctively field-specific issues and are specific to biomedical ethics, some may be adaptable and applicable for other fields including engineering and design.

Artificial Intelligence-Based Medical Data Mining

Understanding published unstructured textual data using traditional text mining approaches and tools is becoming a challenging issue due to the rapid increase in electronic open-source publications. The application of data mining techniques in the medical sciences is an emerging trend; however, traditional text-mining approaches are insufficient to cope with the current upsurge in the volume of published data. Therefore, artificial intelligence-based text mining tools are being developed and used to process large volumes of data and to explore the hidden features and correlations in the data. This review provides a clear-cut and insightful understanding of how artificial intelligence-based data-mining technology is being used to analyze medical data. We also describe a standard process of data mining based on CRISP-DM (Cross-Industry Standard Process for Data Mining) and the most common tools/libraries available for each step of medical data mining.

"Choice of law" in precision medicine research

Large-scale precision medicine research requires massive amounts of data representing people from all walks of life; thus, in the US, it is often multistate research. Significant legal and ethical quandaries arise as a result of the patchwork of laws states have enacted that may apply to research, are not preempted by federal law, and may impose requirements or provide participant rights and protections that differ from other states. Determining which state's laws apply, and under what circumstances, is not solved by the transition to a single-IRB model and researchers cannot simply choose one state's laws to apply uniformly. At a minimum, the current process of meeting each state's requirements could be made more reliable and efficient. To fundamentally change this status quo, however, requires action at multiple levels. Federally, well-known gaps in the Genetic Information Nondiscrimination Act should be closed, and a coherent system of compensation for research injury-including non-physical injuries-should be developed. States should clarify which of their laws are intended to apply to research and work collaboratively to harmonize them. At the level of individual research projects, numerous policies and procedures could be standardized through authoritative guidelines. Examples include clarifying the scope of broad consent, understanding and upholding Certificates of Confidentiality, offering individual research results responsibly, and consistently disseminating aggregate results to participants and the public. Overall, development of a choice of law framework specific to the research context could significantly promote clarity and consistency.

When is it impractical to ask informed consent? A systematic review

BACKGROUND

Informed consent is one of the cornerstones of biomedical research with human subjects. Research ethics committees may allow for a modification or a waiver of consent when the research has social value, involves minimal risk, and if consent is impractical to obtain. While the conditions of social value and minimal risk have received ample attention in research ethics literature, the impractical condition remains unclear. There seem to be different interpretations of the meaning of impractical within academic literature. To address this lack of clarity, we performed a systematic review on the interpretation of impractical.

METHODS

First, we examined international research ethics guidelines on their usage and interpretation of impractical. Next, we used international ethical guidelines to identify synonyms of the term "impractical." Accordingly, PubMed, Embase, and Web of Science were searched for articles that included "informed consent" and "impractical" or one of its synonyms.

RESULTS

We found that there were only a few international ethics guidelines that described what could be considered impractical. Out of 2329 identified academic articles, 42 were included. Impractical was used to describe four different conditions: (1) obtaining informed consent becomes too demanding for researchers, (2) obtaining informed consent leads to invalid study outcomes, (3) obtaining informed consent harms the participant, and (4) obtaining informed consent is meaningless for the participant.

CONCLUSION

There are conditions that render conventional informed consent truly impractical, such as untraceable participants or harm for participants. At the same time, researchers have a moral responsibility to design an infrastructure in which consent can be obtained, even if they face hardship in obtaining consent. In addition, researchers should seek to minimize harm inflicted upon participants when harm may occur as a result of the consent procedure. Invalidity of research due to consent issues should not be regarded as impractical but as a condition that limits the social value of research. Further research is essential for when a waiver of informed consent based on impractical is also reasonable.

Evaluating models of consent in changing health research environments

While Specific Informed Consent has been the established standard for obtaining consent for medical research for many years, it does not appear suitable for large-scale biobank and health data research. Thus, alternative forms of consent have been suggested, based on a variety of ethical background assumptions. This article identifies five main ethical perspectives at stake. Even though Tiered Consent, Dynamic Consent and Meta Consent are designed to the demands of the self-determination perspective as well as the perspective of research as a public good, they are still also criticized from both perspectives. In addition, criticisms based on concerns of justice, participation and democratic deliberation, and relational concerns have been levelled at each of the models. As all of these perspectives have valid points to make, the task at hand lies in balancing these ethical perspectives. What constitutes an adequate balancing depends on contextual factors. These factors include digital infrastructure and digital literacy, data safety regulation, good scientific and clinical practice, transparent debates on ethically relevant features of research, social inequalities, anti-discrimination laws and practices, trust in health care institutions and recognition of patient preferences, and consensus on unethical research. We argue that the role of context in determining acceptable models of consent puts the ethical importance of models of consent into perspective. Since altering contextual factors can help to live up to the ethical concerns at stake in debates about models of consent, opting for such a shift of focus comes without ethical loss.

Participant recall and understandings of information on biobanking and future genomic research: experiences from a multi-disease community-based health screening and biobank platform in rural South Africa

Background

Limited research has been conducted on explanations and understandings of biobanking for future genomic research in African contexts with low literacy and limited healthcare access. We report on the findings of a sub-study on participant understanding embedded in a multi-disease community health screening and biobank platform study known as ‘Vukuzazi’ in rural KwaZulu-Natal, South Africa.

Methods

Semi-structured interviews were conducted with research participants who had been invited to take part in the Vukuzazi study, including both participants and non-participants, and research staff that worked on the study. The interviews were transcribed, and themes were identified from the interview transcripts, manually coded, and thematically analysed.

Results

Thirty-nine individuals were interviewed. We found that the research team explained biobanking and future genomic research by describing how hereditary characteristics create similarities among individuals. However, recollection and understanding of this explanation seven months after participation was variable. The large volume of information about the Vukuzazi study objectives and procedures presented a challenge to participant recall. By the time of interviews, some participants recalled rudimentary facts about the genetic aspects of the study, but many expressed little to no interest in genetics and biobanking.

Conclusion

Participant’s understanding of information related to genetics and biobanking provided during the consent process is affected by the volume of information as well as participant’s interest (or lack thereof) in the subject matter being discussed. We recommend that future studies undertaking biobanking and genomic research treat explanations of this kind of research to participants as an on-going process of communication between researchers, participants and the community and that explanatory imagery and video graphic storytelling should be incorporated into theses explanations as these have previously been found to facilitate understanding among those with low literacy levels. Studies should also avoid having broader research objectives as this can divert participant’s interest and therefore understanding of why their samples are being collected.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12910-022-00782-z.

Re-analysis of genomic data: An overview of the mechanisms and complexities of clinical adoption

Re-analyzing genomic information from a patient suspected of having an underlying genetic condition can improve the diagnostic yield of sequencing tests, potentially providing significant benefits to the patient and to the health care system. Although a significant number of studies have shown the clinical potential of re-analysis, less work has been performed to characterize the mechanisms responsible for driving the increases in diagnostic yield. Complexities surrounding re-analysis have also emerged. The terminology itself represents a challenge because "re-analysis" can refer to a range of different concepts. Other challenges include the increased workload that re-analysis demands of curators, adequate reimbursement pathways for clinical and diagnostic services, and the development of systems to handle large volumes of data. Re-analysis also raises ethical implications for patients and families, most notably when re-classification of a variant alters diagnosis, treatment, and prognosis. This review highlights the possibilities and complexities associated with the re-analysis of existing clinical genomic data. We propose a terminology that builds on the foundation presented in a recent statement from the American College of Medical Genetics and Genomics and describes each re-analysis process. We identify mechanisms for increasing diagnostic yield and provide perspectives on the range of challenges that must be addressed by health care systems and individual patients.

Respecting values and perspectives in biobanking and genetic research governance: Outcomes of a qualitative study in Bengaluru, India

Background: The promise of biobanking and genetic research (BGR) in the context of translational research towards improving public health and personalised medicine has been recognised in India. Worldwide experience has shown that incorporating stakeholders’ expectations and values into the governance of BGR is essential to address ethical aspects of BGR.  This paper draws on engagement with various stakeholders in the South Indian city of Bengaluru to understand how incorporating people’s values and beliefs can inform policy making decisions and strengthen BGR governance within India. Methods: We adopted a qualitative research approach and conducted six focus group discussions with civil society members and seven in-depth interviews with key informants in BGR, identified through a targeted web search and snowballing methods, until data saturation was reached. Data were thematically analysed to identify emergent patterns. Results: Specific themes relating to the ethics and governance of BGR emerged. Fears and uncertainty about future sample and data use, possibilities of discrimination and exploitation in the use of findings and the lack of comprehensive data protection policies in India along with expectations of enhanced contributor agency, control in future use of samples and data, benefit sharing, enhanced utility of samples, sustained BGR and public good, reflected tensions between different stakeholders’ values and beliefs. Fair governance processes through an independent governance committee for biobanks and a system of ongoing engagement with stakeholders emerged as best practice towards building trust and respecting diversity of views and values. Conclusions: Ensuring public trust in BGR requires listening to stakeholders’ voices, being open to counter narratives, and a commitment to long term engagement embedded in principles of participatory democracy. This is central to a ‘people-centred governance framework’ involving a negotiated middle ground and an equilibrium of governance which promotes social justice by being inclusive, transparent, equitable, and trustworthy.

Informed Consent and Protection of Personal Data in Genetic Research on COVID-19

The particular characteristics of COVID-19 demand the careful biomedical study of samples from patients who have shown different symptomatology, in order to understand the genetic foundations of its phenotypic expression. Research on genetic material from COVID-19 patients is indispensable for understanding the biological bases for its varied clinical manifestations. The issue of “informed consent” constitutes the crux of the problem in regulating research biobanks, because it concerns the relationship between the person and the parts separated from the body. There are several consensus models that can be adopted, varying from quite restricted models of specific informed consent to forms that allow very broad authorization (open consent). Our current understanding of COVID-19 is incomplete. Thus, we cannot plan, with precision, the research to be conducted on biological samples that have been, or will be, collected from patients infected by the novel coronavirus. Therefore, we suggest utilizing the “participation pact” between researchers and donors, based on a new form of participation in research, which offers a choice based on the principles of solidarity and reciprocity, which represent the communication of “values”. In the last part of this paper, the general data protection regulation concerning the matter is discussed. The treatment of personal data must be performed with explicit goals, and donors must be provided with a clear, transparent explanation of the methods, goals and time of storage. The data must not be provided to unauthorized subjects. In conclusion, open informed consent forms will be necessary for research on individual patients and on populations.

Informed consent, genomic research and mental health: A integrative review

BACKGROUND

Research on genomics has increased while the biobank activities are becoming more common in different countries. In the mental health field, the questions concerning the potential participants' vulnerability as well as capacity to give the informed consent can cause reluctancy in recruiting persons with mental health problems, although the knowledge and understanding of mental health problems has remarkable changed, and practice is guided with inclusive approaches, such as recovery approach.

AIM

The aim of this study was to describe the current knowledge of informed consent practices in the context of genomic research on mental health from the nurses' viewpoint.

METHODS

An integrative review was conducted with search from seven international databases. Data consist 14 publications which were analyzed with thematic analysis.

ETHICAL CONSIDERATIONS

Ethical requirements were respected in every phase of the research process.

FINDINGS

Most of the papers were published in USA and between 2000-2010. Eight reports were categorized as discussion papers, four qualitative studies and one quantitative study. The thematic analysis provided information on five themes: complexity with the capacity to consent, mixed emotions towards participation, factors influencing the decision to participate, nurses' informed consent process competence and variations between consent procedures.

DISCUSSION

In the informed consent practices, there are various aspects which may affect both the willingness to participate in the study and the informed consent process itself. Implications for practice, education, research, and policies are discussed.

CONCLUSION

There is a need for more updated international research on the topic in the context of different international and national guidelines, legislation, and directives. This study provided a viewpoint to the more collaborative research activities with people with lived experiences also in this field of research following the ideas of recovery approach.

Comprehension, Perception, and Projection

Health social networks (HSNs) allow individuals with health information needs to connect and discuss health-related issues online. Political-technology intertwinement (e.g. GDPR and Digital Technology) highlights that users need to be aware, understand, and willing to provide electronic consent (eConsent) when sharing personal information online. The objective of this study is to explore the ‘As-Is’ factors which impact individuals’ decisional autonomy when consenting to the privacy policy (PP) and Terms and Conditions (T&Cs) on a HSN. We use a Situational Awareness (SA) lens to examine decision autonomy when providing eConsent. A mixed-methods approach reveals that technical and privacy comprehension, user perceptions, and projection of future consequences impact participants’ decision autonomy in providing eConsent. Without dealing with the privacy paradox at the outset, decision awareness and latterly decision satisfaction is negatively impacted. Movement away from clickwrap online consent to customised two-way engagement is the way forward for the design of eConsent.

Genomics governance: advancing justice, fairness and equity through the lens of the African communitarian ethic of Ubuntu

There is growing interest for a communitarian approach to the governance of genomics, and for such governance to be grounded in principles of justice, equity and solidarity. However, there is a near absence of conceptual studies on how communitarian-based principles, or values, may inform, support or guide the governance of genomics research. Given that solidarity is a key principle in Ubuntu, an African communitarian ethic and theory of justice, there is emerging interest about the extent to which Ubuntu could offer guidance for the governance of genomics research in Africa. To this effect, we undertook a conceptual analysis of Ubuntu with the goal of identifying principles that could inform equity-oriented governance of genomics research. Solidarity, reciprocity, open sharing, accountability, mutual trust, deliberative decision-making and inclusivity were identified as core principles that speak directly to the different macro-level ethical issues in genomics research in Africa such as: the exploitation of study populations and African researchers, equitable access and use of genomics data, benefit sharing, the possibility of genomics to widen global health inequities and the fair distribution of resources such as intellectual property and patents. We use the identified the principles to develop ethical guidance for genomics governance in Africa.

The Ethics of Consent in a Shifting Genomic Ecosystem

The collection and use of human genetic data raise important ethical questions about how to balance individual autonomy and privacy with the potential for public good. The proliferation of local, national, and international efforts to collect genetic data and create linkages to support large-scale initiatives in precision medicine and the learning health system creates new demands for broad data sharing that involve managing competing interests and careful consideration of what constitutes appropriate ethical trade-offs. This review describes these emerging ethical issues with a focus on approaches to consent and issues related to justice in the shifting genomic research ecosystem.

Thinking about the idea of consent in data science genomics: How 'informed' is it?

In this paper we argue that 'informed' consent in Big Data genomic biobanking is frequently less than optimally informative. This is due to the particular features of genomic biobanking research which render it ethically problematic. We discuss these features together with details of consent models aimed to address them. Using insights from consent theory, we provide a detailed analysis of the essential components of informed consent which includes recommendations to improve consent performance. In addition, and using insights from philosophy of mind and language and psycholinguistics we support our analyses by identifying the nature and function of concepts (ideas) operational in human cognition and language together with an implicit coding/decoding model of human communication. We identify this model as the source of patients/participants poor understanding. We suggest an alternative, explicit model of human communication, namely, that of relevance-theoretic inference which obviates the limitations of the code model. We suggest practical strategies to assist health service professionals to ensure that the specific information they provide concerning the proposed treatment or research is used to inform participants' decision to consent. We do not prescribe a standard, formal approach to decision-making where boxes are ticked; rather, we aim to focus attention towards the sorts of considerations and questions that might usefully be borne in mind in any consent situation. We hope that our theorising will be of real practical benefit to nurses and midwives working on the clinical and research front-line of genomic science.

Ethics review of big data research: What should stay and what should be reformed?

BACKGROUND

Ethics review is the process of assessing the ethics of research involving humans. The Ethics Review Committee (ERC) is the key oversight mechanism designated to ensure ethics review. Whether or not this governance mechanism is still fit for purpose in the data-driven research context remains a debated issue among research ethics experts.

MAIN TEXT

In this article, we seek to address this issue in a twofold manner. First, we review the strengths and weaknesses of ERCs in ensuring ethical oversight. Second, we map these strengths and weaknesses onto specific challenges raised by big data research. We distinguish two categories of potential weakness. The first category concerns persistent weaknesses, i.e., those which are not specific to big data research, but may be exacerbated by it. The second category concerns novel weaknesses, i.e., those which are created by and inherent to big data projects. Within this second category, we further distinguish between purview weaknesses related to the ERC's scope (e.g., how big data projects may evade ERC review) and functional weaknesses, related to the ERC's way of operating. Based on this analysis, we propose reforms aimed at improving the oversight capacity of ERCs in the era of big data science.

CONCLUSIONS

We believe the oversight mechanism could benefit from these reforms because they will help to overcome data-intensive research challenges and consequently benefit research at large.

'CTRL': an online, Dynamic Consent and participant engagement platform working towards solving the complexities of consent in genomic research

The complexities of the informed consent process for participating in research in genomic medicine are well-documented. Inspired by the potential for Dynamic Consent to increase participant choice and autonomy in decision-making, as well as the opportunities for ongoing participant engagement it affords, we wanted to trial Dynamic Consent and to do so developed our own web-based application (web app) called CTRL (control). This paper documents the design and development of CTRL, for use in the Australian Genomics study: a health services research project building evidence to inform the integration of genomic medicine into mainstream healthcare. Australian Genomics brought together a multi-disciplinary team to develop CTRL. The design and development process considered user experience; security and privacy; the application of international standards in data sharing; IT, operational and ethical issues. The CTRL tool is now being offered to participants in the study, who can use CTRL to keep personal and contact details up to date; make consent choices (including indicate preferences for return of results and future research use of biological samples, genomic and health data); follow their progress through the study; complete surveys, contact the researchers and access study news and information. While there are remaining challenges to implementing Dynamic Consent in genomic research, this study demonstrates the feasibility of building such a tool, and its ongoing use will provide evidence about the value of Dynamic Consent in large-scale genomic research programs.

Recruiting for diversity: a pilot test of recruitment strategies for a national alcohol survey with mail-in genetic data collection

We assessed the feasibility and acceptability of collecting a saliva sample for DNA through the mail from a national sample of drinkers and examined whether targeted messaging would increase the response rates of Black/African American and Hispanic/Latino participants. We invited respondents from two prior national population surveys to participate in a brief telephone survey regarding recent alcohol use and to mail in a self-administered saliva sample. Blacks/African Americans, Hispanics/Latinos, and Whites had similar rates of consenting to participate. A higher proportion of respondents with a college education and a family history of alcohol problems consented. The differences in participation between respondents receiving targeted and general messaging were not statistically significant. This study provides preliminary evidence for the feasibility of recruiting diverse participants into a genetic study of alcohol use disorder.

Reporting Genetic Findings to Individual Research Participants: Guidelines From the Swiss Personalized Health Network

In 2017 the Swiss federal government established the Swiss Personalized Health Network (SPHN), a nationally coordinated data infrastructure for genetic research. The SPHN advisory group on Ethical, Legal, and Social Implications (ELSI) was tasked with the creation of a recommendation to ensure ethically responsible reporting of genetic research findings to research participants in SPHN-funded studies. Following consultations with expert stakeholders, including geneticists, pediatricians, sociologists, university hospitals directors, patient representatives, consumer protection associations, and insurers, the ELSI advisory group issued its recommendation on "Reporting actionable genetic findings to research participants" in May 2020. In this paper we outline the development of this recommendation and the provisions it contains. In particular, we discuss some of its key features, namely: (1) that participation in SPHN-funded studies as a research subject is conditional to accepting that medically relevant genetic research findings will be reported; (2) that a Multidisciplinary Expert Panel (MEP) should be created to support researchers' decision-making processes about reporting individual genetic research findings; (3) that such Multidisciplinary Expert Panel will make case-by-case decisions about whether to allow reporting of genetic findings, instead of relying on a pre-defined list of medically relevant variants; (4) that research participants shall be informed of the need to disclose genetic mutations when applying for private insurance, which may influence individual decisions about participation in research. By providing an account of the procedural background and considerations leading to the SPHN recommendation on "Reporting actionable genetic findings to research participants," we seek to promote a better understanding of the proposed guidance, as well as to contribute to the global dialog on the reporting of genetic research findings.

Assessment of the All of Us research program's informed consent process

Informed consent is the gateway to research participation. We report on the results of the formative evaluation that follows the electronic informed consent process for the All of Us Research Program. Of the nearly 250,000 participants included in this analysis, more than 95% could correctly answer questions distinguishing the program from medical care, the voluntary nature of participation, and the right to withdraw; comparatively, participants were less sure of privacy risk of the program. We also report on a small mixed-methods study of the experience of persons of very low health literacy with All of Us informed consent materials. Of note, many of the words commonly employed in the consent process were unfamiliar to or differently defined by informants. In combination, these analyses may inform participant-centered development and highlight areas for refinement of informed consent materials for the All of Us Research Program and similar studies.

"It's being part of the big picture, even though you're a tiny jigsaw piece"-motivations and expectations of individuals participating in the Enroll-HD observational study

Predictive test guidelines for Huntington's disease (HD) recommend individuals are offered opportunities to participate in research regardless of test outcome. Consistent with most HD centres of excellence, the Manchester Centre for Genomic Medicine (MCGM) invites eligible individuals to participate in the observational study, Enroll-HD. Limited research has been conducted to date on the views of research participants and the possible impact of participation. The aim of this qualitative study was to explore the experiences of ten individuals taking part in the Enroll-HD study following pre-symptomatic testing for HD. Half of the individuals had tested positive for the HD mutation and the other half had tested negative. Participants were generally motivated to take part in the study by both personal and altruistic reasons. Overall, they were very positive about participation in Enroll-HD. Valuable aspects included good relationships with the research/clinical team, increased understanding of the condition, an enhanced self-image and a shared experience with affected parents. Issues for improvement to encourage participation included access to study site and more regular communication about study progress. Participants, while generally optimistic about research progress, were realistic about challenges.

Role of a regulatory and governance framework in human biological materials and data sharing in National Biobanks: Case studies from Biobank Integrating Platform, Taiwan and the National Biorepository, Uganda

Background: In the last decade, Low- and Middle-Income Countries (LMICs) have set up Biobanks to collect human biological materials and associated data for genomic research and public health purposes. Biobanking gives rise to ethical challenges, such as informed consent, benefit sharing, confidentiality, ownership, commercialization and public participation which are harder to navigate in LMIC settings due to disparities in research infrastructure and capacity.  This paper summarizes presentations on Biobank related case studies from two countries, with a focus on challenges in the regulatory and governance framework and suggestions on how to mitigate them.   Methods: Two case studies of Biobanks from LMICs have been used . The case studies were presented at the 2018 Global Forum on Bioethics in Research (GFBR) meeting on the "Ethics of data sharing and Biobanking in health research". Results: The case studies show that an integrated, well-regulated platform for human biological materials and data ensures good quality of human biological materials, saves resources and promotes mutual collaboration of work among researchers. National regulatory bodies are required to generate Biobanking guidelines and policies to facilitate guidance to the rapidly changing landscape of science. Discussion: In general, LMICs have weaker research regulatory infrastructure and governance mechanisms for Biobanks than high-income countries. This has increased the fear of exploitation i.e. unfair distribution of risks and benefits. Establishment of Biobanks and producing effective scientific outcomes based on the Biobanking resources is difficult without a proper legislative, regulatory and governance framework. Conclusion: These two case studies from different LMICs settings show that although in both settings there is strong awareness of the scientific and population health value of Biobanks and strong commitment to their establishment, regulatory and ethical guidance show gaps that need to be addressed.

Role of a regulatory and governance framework in human biological materials and data sharing in National Biobanks: Case studies from Biobank Integrating Platform, Taiwan and the National Biorepository, Uganda

Background: In the last decade, Low- and Middle-Income Countries (LMICs) have set up Biobanks to collect human biological materials and associated data for genomic research and public health purposes. Biobanking gives rise to ethical challenges, such as informed consent, benefit sharing, confidentiality, ownership, commercialization and public participation which are harder to navigate in LMIC settings due to disparities in research infrastructure and capacity.  This paper summarizes presentations on Biobank related case studies from two countries, with a focus on challenges in the regulatory and governance framework and suggestions on how to mitigate them.   Methods: Two case studies of Biobanks from LMICs have been used . The case studies were presented at the 2018 Global Forum on Bioethics in Research (GFBR) meeting on the "Ethics of data sharing and Biobanking in health research". Results: The case studies show that an integrated, well-regulated platform for human biological materials and data ensures good quality of human biological materials, saves resources and promotes mutual collaboration of work among researchers. National regulatory bodies are required to generate Biobanking guidelines and policies to facilitate guidance to the rapidly changing landscape of science. Discussion: In general, LMICs have weaker research regulatory infrastructure and governance mechanisms for Biobanks than high-income countries. This has increased the fear of exploitation i.e. unfair distribution of risks and benefits. Establishment of Biobanks and producing effective scientific outcomes based on the Biobanking resources is difficult without a proper legislative, regulatory and governance framework. Conclusion: These two case studies from different LMICs settings show that although in both settings there is strong awareness of the scientific and population health value of Biobanks and strong commitment to their establishment, regulatory and ethical guidance show gaps that need to be addressed.

Informed Consent in the Genomics Era

Informed consent, the process of gathering autonomous authorization for a medical intervention or medical research participation, is a fundamental component of medical practice. Medical informed consent assumes decision-making capacity, voluntariness, comprehension, and adequate information. The increasing use of genetic testing, particularly genomic sequencing, in clinical and research settings has presented many new challenges for clinicians and researchers when obtaining informed consent. Many of these challenges revolve around the need for patient comprehension of sufficient information. Genomic sequencing is complex-all of the possible results are too numerous to explain, and many of the risks and benefits remain unknown. Thus, historical standards of consent are difficult to apply. Alternative models of consent have been proposed to increase patient understanding, and several have empirically demonstrated effectiveness. However, there is still a striking lack of consensus in the genetics community about what constitutes informed consent in the context of genomic sequencing. Multiple approaches are needed to address this challenge, including consensus building around standards, targeted use of genetic counselors in nongenetics clinics in which genomic testing is ordered, and the development and testing of alternative models for obtaining informed consent.

A qualitative study on aspects of consent for genomic research in communities with low literacy

BACKGROUND

Low literacy of study participants in Sub - Saharan Africa has been associated with poor comprehension during the consenting process in research participation. The concerns in comprehension are far greater when consenting to participate in genomic studies due to the complexity of the science involved. While efforts are made to explore possibilities of applying genomic technologies in diseases prevalent in Sub Saharan Africa, we ought to develop methods to improve participants' comprehension for genomic studies. The purpose of this study was to understand different approaches that can be used to seek consent from individuals with low literacy in Sub-Saharan African countries in genomic research to improve comprehension.

METHODS

Using qualitative study design, we conducted focus-group discussions, in-depth interviews and participant observations as data collection methods. This study was embedded in a hospital based genomic study on Sickle Cell Disease at Muhimbili National Hospital in Tanzania. Thematic content analysis was used to analyse the transcripts and field notes.

RESULTS

Findings from this study show that literacy level has little influence on understanding the research details. According to the participants of this study, the methods used to provide information, the language, and time spent with the study participants were the key factors influencing understanding. The availability of group sessions held before individual consent to allow for a detailed questions and answers format was agreed to be the best method to facilitate the comprehension.

CONCLUSION

The quality of the consenting process of participants will be influence by a number of factors. The type of research consented for, where the research will be implemented and who are the potential study participants are amongst the factors that need to be assessed during the consenting. Measures to improve participants' comprehension need to be developed when consenting participants with low literacy level in genomic studies.

Advanced Cancer Patient Knowledge of and Attitudes towards Tumor Molecular Profiling

Limited research has indicated that despite their overwhelming interest in tumor molecular profiling (MP),1 cancer patients have poor knowledge about MP. The current study aimed to investigate demographic and psychological predictors of knowledge and perceived importance of MP in an advanced cancer patient cohort. Eligible participants had advanced solid cancers of any histological type with sufficient accessible tissue for MP and were enrolled in the Molecular Screening and Therapeutics (MoST) Program. A questionnaire was completed by 1074 participants (91% response rate) after consent, prior to undergoing MP. Overall, participants had poor to moderate knowledge of MP, yet perceived MP to have high importance. Higher education, speaking English at home, and greater satisfaction with the decision to undergo MP were associated with higher knowledge scores. More negative attitudes towards uncertainty, greater self-efficacy to cope with results, and lower perceived likelihood of cancer progression were associated with greater perceived importance of MP. Less educated participants and those who do not speak English at home will need clear explanations, visual aids and ample opportunity to ask questions about MP at the time of their decision-making. Clinicians also need to consider psychological factors relevant to patients' decision to pursue MP. Given the increased awareness of and demand for cancer genomic information and the rapidly changing nature of the actionability of MP, these findings will help inform an important ongoing debate on how to facilitate ethical and informed consent and manage patient expectations about personalized treatments.

Ethical, Legal, and Social Issues Related to the Inclusion of Individuals With Intellectual Disabilities in Electronic Health Record Research: Scoping Review

Background

Data from electronic health records (EHRs) are increasingly used in the field of genetic research to further precision medicine initiatives. However, many of these efforts exclude individuals with intellectual disabilities, which often stem from genetic conditions. To include this important subpopulation in EHR research, important ethical, legal, and social issues should be considered.

Objective

The goal of this study was to review prior research to better understand what ethical, legal, and social issues may need further investigation when considering the research use of EHRs for individuals with genetic conditions that may result in intellectual disability. This information will be valuable in developing methods and best practices for involving this group in research given they are considered a vulnerable population that may need special research protections.

Methods

We conducted a scoping review to examine issues related to the use of EHRs for research purposes and those more broadly associated with genetic research. The initial search yielded a total of 460 unique citations. We used an evaluative coding process to determine relevancy for inclusion.

Results

This approach resulted in 59 articles in the following areas: informed consent, privacy and security, return of results, and vulnerable populations. The review included several models of garnering informed consent in EHR or genetic research, including tiered or categorical, blanket or general, open, and opt-out models. Second, studies reported on patients’ concerns regarding the privacy and security of EHR or genetic data, such as who has access, type of data use in research, identifiability, and risks associated with privacy breach. The literature on return of research results using biospecimens examined the dissension in the field, particularly when sharing individualized genetic results. Finally, work involving vulnerable populations highlighted special considerations when conducting EHR or genetic research.

Conclusions

The results frame important questions for researchers to consider when designing EHR studies, which include individuals with intellectual disabilities, including appropriate safeguards and protections.

Dynamic-informed consent: A potential solution for ethical dilemmas in population sequencing initiatives

While the majority of population-level genome sequencing initiatives claim to follow the principles of informed consent, the requirements for informed consent have not been-well defined in this context. In fact, the implementation of informed consent differs greatly across these initiatives - spanning broad consent, blanket consent, and tiered consent among others. As such, this calls for an investigation into the requirements for consent to be "informed" in the context of population genomics. One particular strategy that claims to be fully informed and to continuously engage participants is called "dynamic consent". Dynamic consent is based on a personalised communication platform that aims to facilitate the consent process. It is oriented to support continuous two-way communication between researchers and participants. In this paper, we analyze the requirements of informed consent in the context of population genomics, review various current implementations of dynamic consent, assess whether they fulfill the requirement of informed consent, and, in turn, enable participants to make autonomous and informed choices on whether or not to participate in research projects.

Informed Consent Form Challenges for Genetic Research in Jordan

Background

Informed consent is an obligatory requirement for research engaging human subjects. Informed consent form (ICF) should be provided for human subjects to confirm their willingness for voluntary participation in a study. Ethical and legal obligations necessitate the presence of informed consent essential items to be built into the ICF.

Objective

To evaluate the content of ICFs obtained from different genetic studies accomplished in Jordan and their adherence to ethical guidelines proposed by the International Conference on Harmonization—Good Clinical Practice (ICHGCP).

Methods and Measures

A total of 44 ICFs obtained from master theses and grant proposals at two major universities in Jordan were analyzed according to the good clinical practice criteria proposed by ICHGCP. ICFs were scored for the presence or absence of ICF main items/categories.

Results

Results show inadequate information present in the examined ICFs. The highest information score was 17 out of 20, while the lowest score was one out of 20. The average score for all studied ICFs was 6.18±3.65. Among essential items/categories that were absent from the majority of studied ICFs were a statement about voluntary participation, confidentiality of data, compensation to study participants, risk/benefits of the study, and researchers’ contact information.

Conclusion

The ICFs were missing a number of required items. This could reflect inadequate knowledge about minimal informed consent requirements among Jordanian investigators highlighting the need for research ethical training in the country.

From "Informed" to "Engaged" Consent: Risks and Obligations in Consent for Participation in a Health Data Repository

The development and use of large and dynamic health data repositories designed to support research pose challenges to traditional informed consent models. We used semi-structured interviewing (n=44) to elicit diverse research stakeholders' views of a model of consent appropriate to participation in initiatives that entail collection, long-term storage, and undetermined future research use of multiple types of health data. We demonstrate that, when considering health data repositories, research stakeholders replace a concept of consent as informed with one in which consent is engaged. In engaged consent, a participant's ongoing relationship with a repository serves as a substitute or adjunct to information exchange at enrollment. We detail research stakeholders' views of the risks of engaged consent and suggest questions for further study about engagement and consent procedures in initiatives that aim to store data for future unspecified research purposes.

Revised Common Rule Changes to the Consent Process and Consent Form

Background: The Federal Policy for the Protection of Human Subjects-the Common Rule-was revised in 2017 to reduce administrative burdens for low-risk research while enhancing protections for human subjects enrolled in greater-than-minimal-risk trials. These enhanced protections involve changes to the consent process. Methods: We review the general requirements applicable to the consent process, as well as the additional elements of consent mandated by the revisions to the Common Rule. The regulations apply to federally funded studies and are optional for non-federally funded studies. Results: Two new general requirements for the consent process, one basic required element for the consent form, and three optional additional elements for the consent form were added in an effort to improve potential subjects' understanding of research studies and to facilitate the exchange of information between the research staff and potential subjects. Important information about the study should be extracted into a concise key information section to help potential subjects make informed decisions regarding participation. Conclusion: The revisions to the Common Rule are intended to enhance human subject protection by providing more information in an understandable form during the consent process. The new consent elements aim to increase transparency and help improve clarity.