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

Balancing the safeguarding of privacy and data sharing: perceptions of genomic professionals on patient genomic data ownership in Australia

There are inherent complexities and tensions in achieving a responsible balance between safeguarding patients' privacy and sharing genomic data for advancing health and medical science. A growing body of literature suggests establishing patient genomic data ownership, enabled by blockchain technology, as one approach for managing these priorities. We conducted an online survey, applying a mixed methods approach to collect quantitative (using scale questions) and qualitative data (using open-ended questions). We explored the views of 117 genomic professionals (clinical geneticists, genetic counsellors, bioinformaticians, and researchers) towards patient data ownership in Australia. Data analysis revealed most professionals agreed that patients have rights to data ownership. However, there is a need for a clearer understanding of the nature and implications of data ownership in this context as genomic data often is subject to collective ownership (e.g., with family members and laboratories). This research finds that while the majority of genomic professionals acknowledge the desire for patient data ownership, bioinformaticians and researchers expressed more favourable views than clinical geneticists and genetic counsellors, suggesting that their views on this issue may be shaped by how closely they interact with patients as part of their professional duties. This research also confirms that stronger health system infrastructure is a prerequisite for enabling patient data ownership, which needs to be underpinned by appropriate digital infrastructure (e.g., central vs. decentralised data storage), patient identity ownership (e.g., limited vs. self-sovereign identity), and policy at both federal and state levels.

Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study

BACKGROUND

As consent for data sharing evolves with the digital age, plain-text consent is not the only format in which information can be presented. However, designing a good consent form is highly challenging. The addition of graphics, video, and other mediums to use can vary widely in effectiveness; and improper use can be detrimental to users.

OBJECTIVE

This study aims to explore the expectations and experiences of adults toward consent given in infographic, video, text, newsletter, and comic forms in a health data sharing scenario to better understand the appropriateness of different mediums and identify elements of each medium that most affect engagement with the content.

METHODS

We designed mock consent forms in infographic, video, text, newsletter, and comic versions. Semistructured interviews were conducted with adults who were interviewed about their expectations for consent and were then shown each consent medium and asked about engaging elements across mediums, preferences for consent mediums, and the value of document quality criteria. We transcribed and qualitatively co-coded to identify themes and perform analyses.

RESULTS

We interviewed 24 users and identified different thematic archetypes based on participant goals, such as the Trust Seeker, who considered their own understanding and trust in organizations when making decisions. The infographic was ranked first for enhancing understanding, prioritizing information, and maintaining the proper audience fit for serious consent in health data sharing scenarios. In addition, specific elements such as structure, step-by-step organization, and readability were preferred engaging elements.

CONCLUSIONS

We identified archetypes to better understand user needs and elements that can be targeted to enhance user engagement with consent forms; this can help inform the design of more effective consent in the future. Overall, preferences for mediums are highly contextual, and more research should be done.

Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study

BACKGROUND

The linkage of primary care, hospital and other health registry data is a global goal, and a consent-based approach is often used. Understanding the attitudes of why participants take part is important, yet little is known about reasons for non-participation. The ATHENA COVID-19 feasibility study investigated: 1) health outcomes of people diagnosed with COVID-19 in Queensland, Australia through primary care health data linkage using consent, and 2) created a cohort of patients willing to be re-contacted in future to participate in clinical trials. This report describes the characteristics of participants declining to participate and reasons for non-consent.

METHODS

Patients diagnosed with COVID-19 from January 1st, 2020, to December 31st, 2020, were invited to consent to having their primary healthcare data extracted from their GP into a Queensland Health database and linked to other data sets for ethically approved research. Patients were also asked to consent to future recontact for participation in clinical trials. Outcome measures were proportions of patients consenting to data extraction, permission to recontact, and reason for consent decline.

RESULTS

Nine hundred and ninety-five participants were approached and 842(85%) reached a consent decision. 581(69%), 615(73%) and 629(75%) consented to data extraction, recontact, or both, respectively. Mean (range) age of consenters and non-consenters were 50.6(22-77) and 46.1(22-77) years, respectively. Adjusting for age, gender and remoteness, older participants were more likely to consent than younger (aOR 1.02, 95%CI 1.01 to 1.03). The least socio-economically disadvantaged were more likely to consent than the most disadvantaged (aOR 2.20, 95% 1.33 to 3.64). There was no difference in consent proportions regarding gender or living in more remote regions. The main reasons for non-consent were 'not interested in research' (37%), 'concerns about privacy' (15%), 'not registered with a GP' (8%) and 'too busy/no time' (7%). 'No reason' was given in 20%.

CONCLUSION

Younger participants and the more socio-economically deprived are more likely to non-consent to primary care data linkage. Lack of patient interest in research, time required to participate and privacy concerns, were the most common reasons cited for non-consent. Future health care data linkage studies addressing these issues may prove helpful.

Evaluation of CTRL: a web application for dynamic consent and engagement with individuals involved in a cardiovascular genetic disorders cohort

There has been keen interest in whether dynamic consent should be used in health research but few real-world studies have evaluated its use. Australian Genomics piloted and evaluated CTRL ('control'), a digital consent tool incorporating granular, dynamic decision-making and communication for genomic research. Individuals from a Cardiovascular Genetic Disorders Flagship were invited in person (prospective cohort) or by email (retrospective cohort) to register for CTRL after initial study recruitment. Demographics, consent choices, experience surveys and website analytics were analysed using descriptive statistics. Ninety-one individuals registered to CTRL (15.5% of the prospective cohort and 11.8% of the retrospective cohort). Significantly more males than females registered when invited retrospectively, but there was no difference in age, gender, or education level between those who did and did not use CTRL. Variation in individual consent choices about secondary data use and return of results supports the desirability of providing granular consent options. Robust conclusions were not drawn from satisfaction, trust, decision regret and knowledge outcome measures: differences between CTRL and non-CTRL cohorts did not emerge. Analytics indicate CTRL is acceptable, although underutilised. This is one of the first studies evaluating uptake and decision making using online consent tools and will inform refinement of future designs.

Public and Patients' Perspectives Towards Data and Sample Sharing for Research: An Overview of Empirical Findings

We aimed to review the attitudes and perspectives of the public and patients towards the sharing of data and biospecimens for research and to identify common dimensions, regardless of setting. Our review included systematic, scoping or thematic reviews of empirical studies retrieved from Medline (PubMed interface), Web of Science, Scopus, ProQuest and Cochrane Reviews. The main themes identified and synthesised across the 14 reviews were readiness and motivations; potential risks and safeguards; trust, transparency and accountability; autonomy and preferred type of consent; and factors influencing data and biospecimen sharing and consent. Sociodemographic factors and research and individual context remain relevant influencing factors in all settings, while preferences for types of consent are highly heterogeneous. Trusted environments and adapted consent options with participant engagement are relevant to improve research participation.

Identifying facilitators of and barriers to the adoption of dynamic consent in digital health ecosystems: a scoping review

BACKGROUND

Conventional consent practices face ethical challenges in continuously evolving digital health environments due to their static, one-time nature. Dynamic consent offers a promising solution, providing adaptability and flexibility to address these ethical concerns. However, due to the immaturity of the concept and accompanying technology, dynamic consent has not yet been widely used in practice. This study aims to identify the facilitators of and barriers to adopting dynamic consent in real-world scenarios.

METHODS

This scoping review, conducted in December 2022, adhered to the PRISMA Extension for Scoping Reviews guidelines, focusing on dynamic consent within the health domain. A comprehensive search across Web of Science, PubMed, and Scopus yielded 22 selected articles based on predefined inclusion and exclusion criteria.

RESULTS

The facilitators for the adoption of dynamic consent in digital health ecosystems were the provision of multiple consent modalities, personalized alternatives, continuous communication, and the dissemination of up-to-date information. Nevertheless, several barriers, such as consent fatigue, the digital divide, complexities in system implementation, and privacy and security concerns, needed to be addressed. This study also investigated current technological advancements and suggested considerations for further research aimed at resolving the remaining challenges surrounding dynamic consent.

CONCLUSIONS

Dynamic consent emerges as an ethically advantageous method for digital health ecosystems, driven by its adaptability and support for continuous, two-way communication between data subjects and consumers. Ethical implementation in real-world settings requires the development of a robust technical framework capable of accommodating the diverse needs of stakeholders, thereby ensuring ethical integrity and data privacy in the evolving digital health landscape.

Public Preferences for Digital Health Data Sharing: Discrete Choice Experiment Study in 12 European Countries

BACKGROUND

With new technologies, health data can be collected in a variety of different clinical, research, and public health contexts, and then can be used for a range of new purposes. Establishing the public's views about digital health data sharing is essential for policy makers to develop effective harmonization initiatives for digital health data governance at the European level.

OBJECTIVE

This study investigated public preferences for digital health data sharing.

METHODS

A discrete choice experiment survey was administered to a sample of European residents in 12 European countries (Austria, Denmark, France, Germany, Iceland, Ireland, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom) from August 2020 to August 2021. Respondents answered whether hypothetical situations of data sharing were acceptable for them. Each hypothetical scenario was defined by 5 attributes ("data collector," "data user," "reason for data use," "information on data sharing and consent," and "availability of review process"), which had 3 to 4 attribute levels each. A latent class model was run across the whole data set and separately for different European regions (Northern, Central, and Southern Europe). Attribute relative importance was calculated for each latent class's pooled and regional data sets.

RESULTS

A total of 5015 completed surveys were analyzed. In general, the most important attribute for respondents was the availability of information and consent during health data sharing. In the latent class model, 4 classes of preference patterns were identified. While respondents in 2 classes strongly expressed their preferences for data sharing with opposing positions, respondents in the other 2 classes preferred not to share their data, but attribute levels of the situation could have had an impact on their preferences. Respondents generally found the following to be the most acceptable: a national authority or academic research project as the data user; being informed and asked to consent; and a review process for data transfer and use, or transfer only. On the other hand, collection of their data by a technological company and data use for commercial communication were the least acceptable. There was preference heterogeneity across Europe and within European regions.

CONCLUSIONS

This study showed the importance of transparency in data use and oversight of health-related data sharing for European respondents. Regional and intraregional preference heterogeneity for "data collector," "data user," "reason," "type of consent," and "review" calls for governance solutions that would grant data subjects the ability to control their digital health data being shared within different contexts. These results suggest that the use of data without consent will demand weighty and exceptional reasons. An interactive and dynamic informed consent model combined with oversight mechanisms may be a solution for policy initiatives aiming to harmonize health data use across Europe.

Evaluation and pilot testing of a multidisciplinary model of care to mainstream genomic testing for paediatric inborn errors of immunity

Molecular diagnosis of paediatric inborn errors of immunity (IEI) influences management decisions and alters clinical outcomes, through early use of targeted and curative therapies. The increasing demand for genetic services has resulted in growing waitlists and delayed access to vital genomic testing. To address this issue, the Queensland Paediatric Immunology and Allergy Service, Australia, developed and evaluated a mainstreaming model of care to support point-of-care genomic testing for paediatric IEI. Key features of the model of care included a genetic counsellor embedded in the department, state-wide multidisciplinary team meetings, and variant prioritisation meetings to review whole exome sequencing (WES) data. Of the 62 children presented at the MDT, 43 proceeded to WES, of which nine (21%) received a confirmed molecular diagnosis. Changes to treatment and management were reported for all children with a positive result, including curative hematopoietic stem cell transplantation (n = 4). Four children were also referred for further investigations of variants of uncertain significance or additional testing due to ongoing suspicion of genetic cause after negative result. Demonstrating engagement with the model of care, 45% of the patients were from regional areas and on average, 14 healthcare providers attended the state-wide multidisciplinary team meetings. Parents demonstrated understanding of the implications of testing, reported minimal decisional regret post-test, and identified benefits to genomic testing. Overall, our program demonstrated the feasibility of a mainstreaming model of care for paediatric IEI, improved access to genomic testing, facilitated treatment decision-making, and was acceptable to parents and clinicians alike.

Australian Genomics: Outcomes of a 5-year national program to accelerate the integration of genomics in healthcare

Australian Genomics is a national collaborative partnership of more than 100 organizations piloting a whole-of-system approach to integrating genomics into healthcare, based on federation principles. In the first five years of operation, Australian Genomics has evaluated the outcomes of genomic testing in more than 5,200 individuals across 19 rare disease and cancer flagship studies. Comprehensive analyses of the health economic, policy, ethical, legal, implementation and workforce implications of incorporating genomics in the Australian context have informed evidence-based change in policy and practice, resulting in national government funding and equity of access for a range of genomic tests. Simultaneously, Australian Genomics has built national skills, infrastructure, policy, and data resources to enable effective data sharing to drive discovery research and support improvements in clinical genomic delivery.

When research becomes practice: the concept of the therapeutic misconception and challenges to consent in clinical trials

Many factors influence patients' decisions to participate in clinical trials. For many, the primary motivation is the possibility that they might derive some benefit from participation. This is particularly true for patients with limited treatment options, such as patients with advanced cancer. While this is not surprising, it is potentially problematic if patients fail to recognise the distinction between research and clinical care (a phenomenon known as the 'therapeutic misconception'). This is becoming increasingly problematic as clinical trial designs become more complex, as clinical trials become more embedded in routine clinical care, and as trials are increasingly used by patients and clinicians to access new diagnostic platforms and therapies. We outline some of these recent trends, focusing on the cancer clinical trials landscape as this provides a good case study of the phenomenon. We conclude by making preliminary suggestions that changes to the consent process, perhaps using 'dynamic consent' platforms, might help to mitigate the therapeutic misconception and note the need for further research to guide strategies for improving communication and decision-making.

Dynamic consent, communication and return of results in large-scale health data reuse: Survey of public preferences

Dynamic consent forms a comprehensive, tailored approach for interacting with research participants. We conducted a survey study to inquire how research participants evaluate the elements of consent, information provision, communication and return of results within dynamic consent in a hypothetical health data reuse scenario. We distributed a digital questionnaire among a purposive sample of patient panel members. Data were analysed using descriptive and nonparametric inferential statistics. Respondents favoured the potential to manage changing consent preferences over time. There was much agreement between people favouring closer and more specific control over data reuse approval and those in favour of broader approval, facilitated by an opt-out system or an independent data reuse committee. People want to receive more information about reuse, outcomes and return of results. Respondents supported an interactive model of research participation, welcoming regular, diverse and interactive forms of communication, like a digital communication platform. Approval for reuse and providing meaningful information, including meaningful return of results, are intricately related to facilitating better communication. Respondents favoured return of actionable research results. These findings emphasize the potential of dynamic consent for enabling participants to maintain control over how their data are being used for which purposes by whom. Allowing different options to shape a dynamic consent interface in health data reuse in a personalized manner is pivotal to accommodate plurality in a flexible though robust manner. Interaction via dynamic consent enables participants to tailor the elements of participation they deem relevant to their own preferences, engaging diverse perspectives, interests and preferences.

An e-consent framework for tiered informed consent for human genomic research in the global south, implemented as a REDCap template

Research involving human participants requires their consent, and it is common practice to capture consent information on paper and store those hard copies, presenting issues such as long-term storage requirements, inefficient retrieval of consent forms for reference or future use, and the potential for transcription errors when transcribing captured informed consent. There have been calls to move to electronic capture of the consent provided by research participants (e-consent) as a way of addressing these issues. A tiered framework for e-consent was designed using the freely available features in the inbuilt REDCap e-consent module. We implemented 'branching logic', 'wet signature' and 'auto-archiver' features to the main informed consent and withdrawal of consent documents. The branching logic feature streamlines the consent process by making follow-up information available depending on participant response, the 'wet signature' feature enables a timestamped electronic signature to be appended to the e-consent documents and the 'auto-archiver' allows for PDF copies of the e-consent documents to be stored in the database. When designing the content layout, we provided example participant information text which can be modified as required. Emphasis was placed on the flow of information to optimise participant understanding and this was achieved by merging the consent and participant information into one document where the consent questions were asked immediately after the corresponding participant information. In addition, we have provided example text for a generic human genomic research study, which can be easily edited and modified according to specific requirements. Building informed consent protocols and forms without prior experience can be daunting, so we have provided researchers with a REDCap template that can be directly incorporated into REDCap databases. It prompts researchers about the types of consent they can request for genomics studies and assists them with suggestions for the language they might use for participant information and consent questions. The use of this tiered e-consent module can ensure the accurate and efficient electronic capture and storage of the consents given by participants in a format that can be easily queried and can thus facilitate ethical and effective onward sharing of data and samples whilst upholding individual participant preferences.

The more you do it, the easier it gets: using behaviour change theory to support health care professionals offering reproductive genetic carrier screening

Recent advances in genomic sequencing have improved the accessibility of reproductive genetic carrier screening (RGCS). As awareness and interest grows, non-genetic health care professionals are increasingly offering RGCS to consumers. We conducted a qualitative interview study informed by behaviour change theory to identify influences on health care professionals considered as 'early adopters' offering RGCS through Mackenzie's Mission, an Australian national research study investigating the implementation of free RGCS to couple's preconception or in early pregnancy. Interviews were deductively analysed using the Theoretical Domains Framework to examine barriers and enabling factors. In total, we interviewed 31 health care professionals, who were primarily general practitioners (n = 23) offering RGCS through Mackenzie's Mission. Upon analysis, 15 barriers and 44 enablers to implementation were identified and categorised across three health care professional target behaviours 1. Engaging with RGCS, 2. Identifying eligible patients, and 3. Offering RGCS. Whilst all Theoretical Domains Framework domains were present, barriers were predominantly categorised as 'Environmental Context and Resources' e.g., lack of time, followed by 'Knowledge' e.g., lack of understanding about genetics and 'Beliefs about Capabilities' e.g., concern about giving high risk results to patients. Although health care professionals expressed a preference for offering RGCS through a comprehensive and supported model of care, such as Mackenzie's Mission, barriers remain. By understanding what drives current health care professionals' behaviour towards offering RGCS, behaviour change theory provides an avenue to direct future efforts based on evidence and improve service delivery.

Using provocative design to foster electronic informed consent innovation

Background

The development of technological applications in clinical research, such as electronic informed consent (eIC), is on the rise. The involvement of end users throughout the design process of eIC is of utmost importance to improve the current informed consent process.

Methods

Using a provocative design, we conducted interviews with 30 clinical research participants. Provotypes were used as a starting base to discuss various aspects relevant to eIC. By providing a medium to encourage divergent thinking, participants’ views and concerns were solicited. Thematic analysis was undertaken using NVivo.

Results

The majority of participants placed trust in the principal investigator or the hospital to perform the role of eIC hosting party. Differing opinions were reported on the amount of information required related to stakeholders’ access to an eIC system, and thus, to participants’ personal data, to enable trust in an eIC system. Nevertheless, this study indicates a general willingness of participants to share personal data with physicians and pharmaceutical companies on an international level, and to receive requests for new research studies via an eIC system. Participants suggested to tailor an eIC system based upon their preferences, for example, regarding whom they want to share their personal data with. Moreover, they expressed a desire to choose how they can contact the research team, and to indicate which study-related information they would like to receive electronically. In addition, positive opinions were voiced on the integration of a test to assess participants’ understanding before providing their eIC.

Conclusions

Following a research through design approach, insights have been generated which inform the design of eIC. Provotypes were designed to help participants think beyond what is familiar to them. Study findings revealed that not all situations were perceived as provocative, because of participants’ motivation to advance scientific research and the trust they place in the research team. Nevertheless, the use of provocative design resulted in additional insights, generated by clinical research participants, which could be considered in the further design of eIC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-02039-6.

The Australian Reproductive Genetic Carrier Screening Project (Mackenzie's Mission): Design and Implementation

Reproductive genetic carrier screening (RGCS) provides people with information about their chance of having children with autosomal recessive or X-linked genetic conditions, enabling informed reproductive decision-making. RGCS is recommended to be offered to all couples during preconception or in early pregnancy. However, cost and a lack of awareness may prevent access. To address this, the Australian Government funded Mackenzie’s Mission—the Australian Reproductive Genetic Carrier Screening Project. Mackenzie’s Mission aims to assess the acceptability and feasibility of an easily accessible RGCS program, provided free of charge to the participant. In study Phase 1, implementation needs were mapped, and key study elements were developed. In Phase 2, RGCS is being offered by healthcare providers educated by the study team. Reproductive couples who provide consent are screened for over 1200 genes associated with >750 serious, childhood-onset genetic conditions. Those with an increased chance result are provided comprehensive genetic counseling support. Reproductive couples, recruiting healthcare providers, and study team members are also invited to complete surveys and/or interviews. In Phase 3, a mixed-methods analysis will be undertaken to assess the program outcomes, psychosocial implications and implementation considerations alongside an ongoing bioethical analysis and a health economic evaluation. Findings will inform the implementation of an ethically robust RGCS program.

Data Medicine: ‘Broad’ or ‘Dynamic’ Consent?

The General Data Protection Regulation imposes, at European level, a need to seek express or explicit consent for the processing of health data. In the framework of biomedical research, some favor the use of express ‘broad’ consent, whereas other maintain, or wish to maintain the use of presumed or implicit consent, often referred to as ‘non-opposition’ in conditions in which such consent is still authorized. In our view, broad consent and presumed consent are likely to prove to be easy solutions in the short term but much less relevant in the long term, for both hospital and patients, if the bioethical objective remains the improvement of patient quality of life and/or survival, regardless of the disease considered. Dynamic consent could be the best way to achieve this objective because only this type of consent could improve hospital transparency and increase patient confidence by allaying certain fears.

Controversies between regulations of research ethics and protection of personal data: informed consent at a cross-road

This paper explores some key discrepancies between two sets of normative requirements applicable to the research use of personal data and human biological materials: (a) the data protection regime which follows the application of the European Union General Data Protection Regulation (GDPR), and (b) the Declaration of Helsinki, CIOMS guidelines and other research ethics regulations. One source of this controversy is that the GDPR requires consent to process personal data to be clear, concise, specific and granular, freely given and revocable and therefore has challenged the concept of 'broad consent', which has been widely applied in the context of biobanking. Another source of controversy is the interplay between regulations of research ethics and protection of personal data related to the secondary use of personal data and biological materials. In this case, the GDPR 'research condition' provides an alternative to re-consent for the use of previously collected personal data and biological materials. Although the mentioned controversies have been raised in the legal literature, they have not been explicitly addressed from the research ethics perspective. Should consent be regarded as a priority legal basis for personal data processing in health data research? Can broad consent still be a suitable legal ground for biobanking? What should be the role of research ethics provisions that differ from the GDPR standards, and what should be the role and function of research ethics committees in the changing environment of health data research? These are the ongoing controversies to be explored in the paper.

A Versatile, Secure, and Sustainable All-in-One Biobank-Registry Data Solution: The A3BC REDCap Model

Introduction: A key element in the big data revolution is large-scale biobanking and the associated development of high-quality data collections and supporting informatics solutions. As such, in establishing the Australian Arthritis and Autoimmune Biobank Collaborative (A3BC), we sought to establish a low-cost, nation-scale data management system capable of managing a multisite biobank registry with complex longitudinal sample and data requirements. Materials and Methods: We assessed several international commercial and nonprofit software platforms using standardized system requirement criteria and follow-up interviews. Vendor compliance scoring was prioritized to meet our project-critical requirements. Consumer/end-user codesign was integral to refining our system requirements for optimized adoption. Customization of the selected software solution was performed to optimize field auto-population between participant timepoints and forms, using modules that are transferable and that do not impact core code. Institutional and independent testing was used to ensure data security. Results: We selected the widely used research web application Research Electronic Data Capture (REDCap), which is "free" (under nonprofit license agreement terms), highly configurable, and customizable to a variety of biobank and registry needs and can be developed/maintained by biobank users with modest IT skill, time, and cost. We created a secure, comprehensive participant-centric biobank-registry database that includes: (1) best practice data security measures (incl. multisite access login using institutional user credentials), (2) permission-to-contact and dynamic itemized electronic consent, (3) a complete chain of custody from consent to longitudinal biospecimen data collection to publication, (4) complex longitudinal patient-reported surveys, (5) integration of record-level extracted/linked participant data, (6) significant form auto-population for streamlined data capture, and (7) native dashboards for operational visualizations. Conclusion: We recommend the versatile, reusable, and sustainable informatics model we have developed in REDCap for prospective chronic disease biobanks or registry biobanks (of local to national complexity) supporting holistic research into disease prediction, precision medicine, and prevention strategies.

Psychological predictors of advanced cancer patients' preferences for return of results from comprehensive tumor genomic profiling

This study assessed the psychological predictors of preferences for return of comprehensive tumor genomic profiling (CTGP) results in patients with advanced cancers, enrolled in the Molecular Screening and Therapeutics Program. Patients completed a questionnaire prior to undergoing CTGP. Of the 1434 who completed a questionnaire, 96% would like to receive results that can guide treatment for their cancer, and preference for receiving this type of result was associated with lower tolerance of uncertainty. Sixty-four percent would like to receive results that cannot guide treatment, and lower tolerance of uncertainty, self-efficacy, and perceived importance were associated with this preference. Fifty-nine percent would like to receive variants of unknown significance, which was associated with lower tolerance of uncertainty, higher self-efficacy, and perceived importance. Eighty-six percent wanted to receive germline results that could inform family risk. This was associated with higher self-efficacy, perceived importance, and perceived susceptibility. Although most patients wanted to receive all types of results, given the differing patient preferences regarding the return of results depending on the utility of the different types of results, it appears critical to safeguard patient understanding of result utility to achieve informed patient choices. This should be accompanied by appropriate consent processes.

Stakeholder attitudes towards establishing a national genomics registry of inherited cancer predisposition: a qualitative study

This study aimed to describe the acceptability and perceived barriers and enablers to establish a national registry targeting carriers of pathogenic variants in cancer susceptibility genes from stakeholders' perspectives. Such a registry may effectively target carriers to translate existing research findings into optimised clinical care and provide a population-level resource for further clinical research and new gene and therapy discovery. In-depth interviews were conducted with individuals from four stakeholder groups: carriers of pathogenic variants, healthcare professionals, data custodians from the field of familial cancer, and heads of molecular pathology laboratories. Interview data were subjected to a qualitative analysis guided by a thematic analysis framework using NVivo software. A total of 28 individuals were interviewed: 11 carriers, 8 healthcare professionals, 5 laboratory heads, and 4 data custodians. All carriers and healthcare professionals were enthusiastic about the potential research applications of the registry. Carriers described that altruistic motivations provided the foundation of their support of the planned registry. Some carriers felt comfortable with a broad consent (consenting once, prospectively), while others preferred a narrow consent approach (consenting each time data is accessed). Some carriers and data custodians and registry developers also expressed a reluctance to link family member data without appropriate consent. Participants' enthusiasm and support for a national registry herald a productive and responsive research partnership once the registry has been established. Participants' views can be used to inform the approaches to be taken to develop and manage such a registry as an implicit codesign approach.

Digital Mega-Studies as a New Research Paradigm: Governing the Health Research of the Future

'Digital Mega-Studies' are entirely or extensively digitised, longitudinal, population-scale initiatives, collecting, storing, and making available individual-level research data of different types and from multiple sources, shaped by technological developments and unforeseeable risks over time. The Australian 'Gen V' project exemplifies this new research paradigm. In 2019, we undertook a multidisciplinary, multi-stakeholder process to map Digital Mega-Studies' key characteristics, legal and governance challenges and likely solutions. We conducted large and small group processes within a one-day symposium and directed online synthesis and group prioritisation over subsequent weeks. We present our methods (including elicitation, affinity mapping and prioritisation processes) and findings, proposing six priority governance principles across three areas-data, participation, trust-to support future high-quality, large-scale digital research in health.