Clinical trials : journal of the Society for Clinical Trials
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With pragmatic clinical trials, an opportunity exists to answer important questions about the relative risks, burdens, and benefits of therapeutic interventions. However, concerns about protecting the privacy of this information are significant and must be balanced with the imperative to learn from the data gathered in routine clinical practice. Traditional privacy protections for research uses of identifiable information rely disproportionately on informed consent or authorizations, based on a presumption that this is necessary to fulfill ethical principles of respect for persons. ⋯ Data anonymization also plays a role in protecting privacy but is not suitable for all research, particularly pragmatic clinical trials. In this article, we explore both the ethical foundation and regulatory framework intended to protect privacy in pragmatic clinical trials. We then review examples of novel approaches to respecting persons in research that may have the added benefit of honoring patient privacy considerations.
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To successfully implement a pragmatic clinical trial, investigators need access to numerous resources, including financial support, institutional infrastructure (e.g. clinics, facilities, staff), eligible patients, and patient data. Gatekeepers are people or entities who have the ability to allow or deny access to the resources required to support the conduct of clinical research. Based on this definition, gatekeepers relevant to the US clinical research enterprise include research sponsors, regulatory agencies, payers, health system and other organizational leadership, research team leadership, human research protections programs, advocacy and community groups, and clinicians. ⋯ This framework also suggests that to further enhance the legitimacy of their decision-making, gatekeepers should adopt transparent processes that engage relevant stakeholders when feasible and appropriate. We apply this framework to the set of gatekeepers responsible for making decisions about resources necessary for pragmatic clinical trials in the United States, describing the relevance of the criteria in different situations and pointing out where conflicts among the criteria and relevant regulations may affect decision-making. Recognition of the complex set of considerations that should inform decision-making will guide gatekeepers in making justifiable choices regarding the use of limited and valuable resources.
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The need for high-quality evidence to support decision making about health and health care by patients, physicians, care providers, and policy-makers is well documented. However, serious shortcomings in evidence persist. Pragmatic clinical trials that use novel techniques including emerging information and communication technologies to explore important research questions rapidly and at a fraction of the cost incurred by more "traditional" research methods promise to help close this gap. ⋯ They then propose a new working definition for pragmatic research that centers upon fitness for informing decisions about health and health care. Finally, they introduce a project, jointly undertaken by the National Institutes of Health Health Care Systems Research Collaboratory and the National Patient-Centered Clinical Research Network (PCORnet), which addresses 11 key aspects of current systems for regulatory and ethical oversight of clinical research that pose challenges to conducting pragmatic clinical trials. In the series of articles commissioned on this topic published in this issue of Clinical Trials, each of these aspects is addressed in a dedicated article, with a special focus on the interplay between ethical and regulatory considerations and pragmatic clinical research aimed at informing "real-world" choices about health and health care.
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The oversight of research involving human participants is a complex process that requires institutional review board review as well as multiple non-institutional review board institutional reviews. This multifaceted process is particularly challenging for multisite research when each site independently completes all required local reviews. The lack of inter-institutional standardization can result in different review outcomes for the same protocol, which can delay study operations from start-up to study completion. ⋯ Suggested modifications of institutional review board processes that focus on time, efficiency, and consistency of review must also address what effect such changes have on the quality of review. We acknowledge that assessment of quality is difficult in that quality metrics for institutional review board review remain elusive. At best, we may be able to assess the time it takes to review protocols and the consistency across institutions.
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Pragmatic clinical trials can help answer questions of comparative effectiveness for interventions routinely used in medical practice. Pragmatic clinical trials may examine outcomes of one or more marketed medical products, and they are heterogeneous in design and risk. The Food and Drug Administration is charged with protecting the rights, safety, and welfare of individuals enrolled in clinical investigations, as well as assuring the integrity of the data upon which approval of medical products is made. ⋯ We are concerned that current Food and Drug Administration requirements for obtaining individual informed consent may deter or delay the conduct of pragmatic clinical trials intended to develop reliable evidence of comparative safety and effectiveness of approved medical products that are regulated by the Food and Drug Administration. Under current regulations, there are no described mechanisms to alter or waive informed consent to make it less burdensome or more practicable for low-risk pragmatic clinical trials. We recommend that the Food and Drug Administration establish a risk-based approach to obtaining informed consent in pragmatic clinical trials that would facilitate the conduct of pragmatic clinical trials without compromising the protection of enrolled individuals or the integrity of the resulting data.