It is unclear whether the regulatory distinction between non-identifiable and identifiable information—information used to determine informed consent practices for the use of clinically derived samples for genetic research—is meaningful to patients. The objective of this study was to examine patients' attitudes and preferences regarding use of anonymous and identifiable clinical samples for genetic research. Telephone interviews were conducted with 1,193 patients recruited from general medicine, thoracic surgery, or medical oncology clinics at five United States academic medical centers. Wanting to know (...) about research being done was important to 72% of patients when samples would be anonymous and to 81% of patients when samples would be identifiable. Only 17% wanted to know about the identifiable scenario but not the anonymous scenario. Curiosity-based reasons were the most common among patients who wanted to know about anonymous samples. Of patients wanting to know about either scenario, approximately 57% would require researchers to seek permission, whereas 43% would be satisfied with notification only. Patients were more likely to support permission in the anonymous scenario if they had more education, were Black, less religious, in better health, more private, and less trusting of researchers. The sample, although not representative of the general population, does represent patients at academic medical centers whose clinical samples may be used for genetic research. Few patients expressed preferences consistent with the regulatory distinction between non-identifiable and identifiable information. Data from this study should cause policy-makers to question whether this distinction is useful in relation to research with previously collected clinically derived samples. (shrink)

Biobanks are repositories of human biological materials collected for biomedical research. There are over 300 million stored specimens in the United States, and the number grows by 20 million per year. In the post-genome world of high throughput gene sequencing and computational biology, biobanks hold the promise of facilitating large-scale research studies. New organizational and operational models of research repositories also raise complex issues of big science, big business, and big ethical concerns.

Accurate estimation of risk and benefit is integral to good clinical research planning, ethical review, and study implementation. Some commentators have argued that various actors in clinical research systems are prone to biased or arbitrary risk/benefit estimation. In this commentary, we suggest the evidence supporting such claims is very limited. Most prior work has imputed risk/benefit beliefs based on past behavior or goals, rather than directly measuring them. We describe an approach – forecast analysis – that would enable direct and (...) effective measure of the quality of risk/benefit estimation. We then consider some objections and limitations to the forecasting approach. (shrink)

One of the key ethical requirements for biomedical research is that it have an acceptable risk-benefit profile (Emanuel, Wendler, and Grady 2000). The International Conference of Harmonization guidelines mandate that clinical trials should be initiated and continued only if “the anticipated benefits justify the risks” (1996). Guidelines from the Council for International Organizations of Medical Sciences state that biomedical research is acceptable only if the “potential benefits and risks are reasonably balanced” (2002). U.S. federal regulations require that the “risks to (...) subjects” be “reasonable in relation to anticipated benefits, if any, to subjects and the importance of the knowledge” to be gained from the .. (shrink)

BackgroundResearch ethics committees (RECs) are tasked to assess the risks and the benefits of a trial. Currently, two procedure-level approaches are predominant, the Net Risk Test and the Component Analysis.DiscussionBy looking at decision studies, we see that both procedure-level approaches conflate the various risk-benefit tasks, i.e., risk-benefit assessment, risk-benefit evaluation, risk treatment, and decision making. This conflation makes the RECs’ risk-benefit task confusing, if not impossible. We further realize that RECs are not meant to do all the risk-benefit tasks; instead, (...) RECs are meant to evaluate risks and benefits, appraise risk treatment suggestions, and make the final decision.ConclusionAs such, research ethics would benefit from looking beyond the procedure-level approaches and allowing disciplines like decision studies to be involved in the discourse on RECs’ risk-benefit task. (shrink)

Background Research ethics committees are tasked to assess the risks and the benefits of a trial. Currently, two procedure-level approaches are predominant, the Net Risk Test and the Component Analysis. Discussion By looking at decision studies, we see that both procedure-level approaches conflate the various risk-benefit tasks, i.e., risk-benefit assessment, risk-benefit evaluation, risk treatment, and decision making. This conflation makes the RECs’ risk-benefit task confusing, if not impossible. We further realize that RECs are not meant to do all the risk-benefit (...) tasks; instead, RECs are meant to evaluate risks and benefits, appraise risk treatment suggestions, and make the final decision. Conclusion As such, research ethics would benefit from looking beyond the procedure-level approaches and allowing disciplines like decision studies to be involved in the discourse on RECs’ risk-benefit task. (shrink)

Biobanks are repositories of human biological materials collected for biomedical research. There are over 300 million stored specimens in the United States, and the number grows by 20 million per year. In the post-genome world of high throughput gene sequencing and computational biology, biobanks hold the promise of facilitating large-scale research studies. New organizational and operational models of research repositories also raise complex issues of big science, big business, and big ethical concerns.