No consensus yet exists on how to handle incidental fnd‐ings (IFs) in human subjects research. Yet empirical studies document IFs in a wide range of research studies, where IFs are fndings beyond the aims of the study that are of potential health or reproductive importance to the individual research participant. This paper reports recommendations of a two‐year project group funded by NIH to study how to manage IFs in genetic and genomic research, as well as imaging research. We conclude that researchers have an obligation to address the possibility of discovering IFs in their protocol and communications with the IRB, and in their consent forms and communications with research participants. Researchers should establish a pathway for handling IFs and communicate that to the IRB and research participants. We recommend a pathway and categorize IFs into those that must be disclosed to research participants, those that may be disclosed, and those that should not be disclosed.
Biobanks and archived datasets collecting samples and data have become crucial engines of genetic and genomic research. Unresolved, however, is what responsibilities biobanks should shoulder to manage incidental findings (IFs) and individual research results (IRRs) of potential health, reproductive, or personal importance to individual contributors (using “biobank” here to refer to both collections of samples and collections of data). This paper reports recommendations from a 2-year, NIH-funded project. The authors analyze responsibilities to manage return of IFs and IRRs in a biobank research system (primary research or collection sites, the biobank itself, and secondary research sites). They suggest that biobanks shoulder significant responsibility for seeing that the biobank research system addresses the return question explicitly. When re-identification of individual contributors is possible, the biobank should work to enable the biobank research system to discharge four core responsibilities: to (1) clarify the criteria for evaluating findings and roster of returnable findings, (2) analyze a particular finding in relation to this, (3) re-identify the individual contributor, and (4) recontact the contributor to offer the finding. The authors suggest that findings that are analytically valid, reveal an established and substantial risk of a serious health condition, and that are clinically actionable should generally be offered to consenting contributors. The paper specifies 10 concrete recommendations, addressing new biobanks and biobanks already in existence.
The Precision Medicine Initiative (PMI) is an innovative approach to developing a new model of health care that takes into account individual differences in people's genes, environments, and lifestyles. A cornerstone of the initiative is the PMI All of Us Research Program (formerly known as PMI-Cohort Program) which will create a cohort of 1 million volunteers who will contribute their health data and biospecimens to a centralized national database to support precision medicine research. The PMI All of US Research Program is the largest longitudinal study in the history of the United States. The designers of the Program anticipated and addressed some of the ethical, legal, and social issues (ELSI) associated with the initiative. To date, however, there is no plan to call for research regarding ELSI associated with the Program-PMI All of Us program. Based on analysis of National Institutes of Health (NIH) funding announcements for the PMI All of Us program, we have identified three ELSI themes: cohort diversity and health disparities, participant engagement, and privacy and security. We review All of Us Research Program plans to address these issues and then identify additional ELSI within each domain that warrant ongoing investigation as the All of Us Research Program develops. We conclude that PMI's All of Us Research Program represents a significant opportunity and obligation to identify, analyze, and respond to ELSI, and we call on the PMI to initiate a research program capable of taking on these challenges.Genet Med advance online publication 01 December 2016.
To examine whether a cognitive-behavioral group program among pregnant women with elevated levels of anxiety or depression may reduce anxious and depressive symptoms and has a positive impact on risk factors for anxiety disorders and depression. A total of 753 participants were recruited. After completion of the clinical standardized interview, 160 participants were randomized to an intervention group or a control condition. Psychometric assessments took place at T1 (preintervention), T2 (antenatal follow-up), and T3 (3 months postpartum). Analyses included women who took part in all 3 assessments (intervention group, N = 21; control group, N = 53). The subjective program evaluation by the participants was highly positive, but with the exception of a short-term effect on the quality of an intimate partnership (F1/67 = 4.056; P < .05], intervention effects on anxiety or depressive symptoms were not found. However, there was an intervention effect 3 months postpartum for participants with high depressive symptoms at T1 (Edinburgh Postnatal Depression Scale score of ≥10) (F1/69 = 5.410; P < .05). The results argue against a general efficacy of a cognitive-behavioral group program for pregnant women with rather low levels of anxiety and depression. For women with higher depressive symptoms during pregnancy, a cognitive-behavioral group program may have a positive impact on the course of depressive symptoms during the postpartum period.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.