Meta-consent for the secondary use of health data within a learning health system: a qualitative study of the public’s perspective

Background The advent of learning healthcare systems (LHSs) raises an important implementation challenge concerning how to request and manage consent to support secondary use of data in learning cycles, particularly research activities. Current consent models in Quebec were not established with the context of LHSs in mind and do not support the agility and transparency required to obtain consent from all involved, especially the citizens. Therefore, a new approach to consent is needed. Previous work identified the meta-consent model as a promising alternative to fulfill the requirements of LHSs, particularly large-scale deployments. We elicited the public’s attitude toward the meta-consent model to evaluate if the model could be understood by the citizens and would be deemed acceptable to prepare for its possible implementation in Quebec. Methods Eight focus groups, with a total of 63 members of the general public from various backgrounds were conducted in Quebec, Canada, in 2019. Explicit attention was given to literacy levels, language spoken at home and rural vs urban settings. We assessed attitudes, concerns and facilitators regarding key components of the meta-consent model: predefined categories to personalized consent requests, a dynamic web-based infrastructure to record meta-consent, and default settings. To analyse the discussions, a thematic content analysis was performed using a qualitative software. Results Our findings showed that participants were supportive of this new approach of consent as it promotes transparency and offers autonomy for the management of their health data. Key facilitators were identified to be considered in the implementation of a meta-consent model in the Quebec LHSs: information and transparency, awareness campaigns, development of educational tools, collaboration of front-line healthcare professionals, default settings deemed acceptable by the society as well as close partnerships with recognized and trusted institutions. Conclusions This qualitative study reveals the openness of a sample of the Quebec population regarding the meta-consent model for secondary use of health data for research. This first exploratory study conducted with the public is an important step in guiding decision-makers in the next phases of implementing the various strategies to support access and use of health data in Quebec.

Meta-Consent for the Secondary Use of Health Data Within A Learning Health System: A Qualitative Study of the Public’s Perspective.

Background: The advent of learning healthcare systems (LHSs) raises an important implementation challenge concerning how to request and manage consent to support secondary use of data in learning cycles, particularly research activities. Current consent models in Quebec were not established with the context of LHSs in mind and do not support the agility and transparency required to obtain consent from all involved, especially the citizens. Therefore, a new approach to consent is needed. Previous work identified the meta-consent model as a promising alternative to fulfill the requirements of LHSs, particularly large-scale deployments. We elicited the public’s attitude toward the meta-consent model to evaluate if the model could be understood by the citizens and would be deemed acceptable to prepare for its possible implementation in Quebec. Methods: Eight focus groups, with a total of 63 members of the general public from various backgrounds were conducted in Quebec, Canada, in 2019. Explicit attention was given to literacy levels, language spoken at home and rural vs urban settings. We assessed attitudes, concerns and facilitators regarding key components of the meta-consent model: predefined categories to personalized consent requests, a dynamic web-based infrastructure to record meta-consent, and default settings. To analyse the discussions, a thematic content analysis was performed using a qualitative software. Results: Our findings showed that participants were supportive of this new approach of consent as it promotes transparency and offers autonomy for the management of their health data. Key facilitators were identified to be considered in the implementation of a meta-consent model in the Quebec LHSs: information and transparency, awareness campaigns, development of educational tools, collaboration of front-line healthcare professionals, default settings deemed acceptable by the society as well as close partnerships with recognized and trusted institutions.Conclusions: This qualitative study reveals the openness of a sample of the Quebec population regarding the meta-consent model for secondary use of health data for research. This first exploratory study conducted with the public is an important step in guiding decision-makers in the next phases of implementing the various strategies to support access and use of health data in Quebec.

The ‘Expiry Problem’ of broad consent for biobank research - And why a meta consent model solves it

In this response to Neil Manson’s latest intervention in our debate about the best consent model for biobank research we show, contra Manson that the ‘expiry problem’ that affects broad consent models because of changes over time in methods, purposes, types of data used and governance structures is a real and significant problem. We further show that our preferred implementation of meta consent as a national consent platform solves this problem and is not subject to the cost and burden objections that Manson raises.

Informed Consent in the Big Data Age: The Need for Normative Updates

Big data is changing the usual practices of obtaining informed consent. Traditional informed consent models stop working because they don’t take into account the speed, volume, and variety of collected and processed data. In the traditional model it is extremely difficult to identify all possible uses for the information received from users, and obtaining secondary consent is difficult or simply impossible in a situation where data is depersonalized. As a re­sult, a person signing an informed consent gets into the situation described by J. Heller in the novel «Catch-22»: absurd rules aimed at taking care of the individual lead to the op­posite results. To avoid falling into catch-22, it is necessary to create new models of in­formed consent (the model of broad (full) consent, the model of dynamic consent, the mar­ket model, the model of postponed consent, the model of meta consent, the model of multi-level consent, the democratic model of consent), which can more effectively protect per­sonal autonomy, confidentiality, privacy and serve as a guarantor of trust in the subjects of collecting, processing, and using big data. Although the new models of informed consent are not without drawbacks, a complete rejection of this procedure entails a violation of the pre­cautionary principle and increases the likelihood of harm to the data subject. At the same time, following the precautionary principle should take into account the relationship be­tween the individual and the General good and not hinder the development of different spheres of public life in the condition of big data accumulation. The creation of rules governing the receipt of informed consent and the use of data should be based on an analysis of existing practices and take into account a measure of openness and trust, which are determined by both personal and socio-cultural characteristics.

The case against meta-consent: not only do Ploug and Holm not answer it, they make it even stronger

In a recent article, I argued that Ploug and Holm’s ‘meta-consent’ proposal should be rejected for biobank governance. This was because, although meta-consent is permissible, it is both burdensome and ethically omissible. There is no ethical reason why funders should undertake the additional costs. Ploug and Holm have sought to respond to these arguments. Here, it is noted that not only do they fail to adequately refuse the case against meta-consent, they fail to even engage with the arguments, either misunderstanding them or ignoring them. In their response, Ploug and Holm unwittingly provide the basis of an even stronger case against meta-consent. They argue that broad consent has a built in tendency to expire, while also holding that broad consent should be one of the options available in meta-consent. Meta-consent thus ends up being more like dynamic consent, but, arguably, even more burdensome and costly.

Authority and the Future of Consent in Population-Level Biomedical Research

Population-level biomedical research has become crucial to the health system’s ability to improve the health of the population. This form of research raises a number of well-documented ethical concerns, perhaps the most significant of which is the inability of the researcher to obtain fully informed specific consent from participants. Two proposed technical solutions to this problem of consent in large-scale biomedical research that have become increasingly popular are meta-consent and dynamic consent. We critically examine the ethical and practical credentials of these proposals and find them lacking. We suggest that the consent problem is not solved by adopting a technology driven approach grounded in a notion of ‘specific’ consent but by taking seriously the role of research governance in combination with broader conceptions of consent. In our view, these approaches misconstrue the rightful location of authority in the way in which population-level biomedical research activities are structured and organized. We conclude by showing how and why the authority for determining the nature and shape of choice making about participation ought not to lie with individual participants, but rather with the researchers and the research governance process, and that this necessarily leads to the endorsement of a fully articulated broad consent approach.

Broad consent for biobanks is best – provided it is also deep

Background As biobank research has become increasingly widespread within biomedical research, study-specific consent to each study, a model derived from research involving traditional interventions on human subjects, has for the sake of feasibility gradually given way to alternative consent models which do not require consent for every new study. Besides broad consent these models include tiered, dynamic, and meta-consent. However, critics have pointed out that it is normally not known at the time of enrolment in what ways samples deposited in a biobank may be used in future research and that, for a consent to be informed, exactly this kind of knowledge is required. Therefore, there is an ongoing debate about the ethical acceptability of going for less than study-specific consent. Main text In light of this debate we address the question of how to best protect participants against relevant risks and violations of autonomy. We apply the central aims of the informed consent process to the unique circumstances of biobank research where samples and data in many cases are stored for long periods of time and reused in subsequent studies. Thereby we are able to formulate a set of criteria focusing both on the risk of informational harm and the potential violation of participants’ values. We compare existing models of consent based on their ability to satisfy the criteria, and we find that the broad consent model offers the best level of protection for participants, although, it suffers from a few important deficiencies with regards to protection against participant value violations and long-term protection of autonomy, if it is applied without qualifications. For this reason, we propose modifications to the current broad consent model, in order to ensure that it provides protection of autonomy and participant values through strong ethical review and continuous communication. Conclusion We conclude that a modified form of broad consent is ethically superior in biobank research, not only because it is most feasible but primarily because it offers the best available protection against the hazards facing research subjects in this form of research.

The biobank consent debate: why ‘meta-consent’ is still the solution!

In a recent article in the Journal of Medical Ethics, Neil Manson sets out to show that the meta-consent model of informed consent is not the solution to perennial debate on the ethics of biobank participation. In this response, we shall argue that (i) Manson’s considerations on the costs of a meta-consent model are incomplete and therefore misleading; (ii) his view that a model of broad consent passes a threshold of moral acceptability rests on an analogy that misconstrues how biobank research is actually conducted and (iii) a model of meta-consent is more in tune with the nature of biobank research and enables autonomous choice.

The biobank consent debate: Why ‘meta-consent’ is not the solution?

Over the past couple of decades, there has been an ongoing, often fierce, debate about the ethics of biobank participation. One central element of that debate has concerned the nature of informed consent, must specific reconsent be gained for each new use, or user, or is broad consent ethically adequate? Recently, Thomas Ploug and Søren Holm have developed an alternative to both specific and broad consent: what they call a meta-consent framework. On a meta-consent framework, participants can choose the type of consent framework they require, for different kinds of use, different types of user and so on. Meta-consent involves a distinctive kind of design of the consent process. Here it is argued, first, that although a meta-consent framework does not wrong participants, Ploug and Holm understate the likely costs and burdens of such a framework, so there are good practical reasons not to offer it. Second, although Ploug and Holm allude to some ethical considerations that might seem to ground an ethical argument for providing meta-consent, they do not offer any sound argument, and it does not wrong participants in any way to fail to offer them the opportunity to design their own consent process.