Investigators' financial interests have little effect on potential clinical trial participants.
NY-April 3, 2008-The Journal of General Internal Medicine published a new study online that takes a look at how disclosing the financial interests of investigators affects the willingness of potential trial volunteers to participate. Generally, the research-compiled by Duke University School of Medicine, Johns Hopkins Berman Institute of Bioethics, Johns Hopkins School of Medicine, and Wake Forest School of Medicine and School of Law, and funded by the National Institutes of Health-showed that potential subjects' desires to volunteer were generally unaffected by learning about an investigator's financial interest, although some volunteers' levels of trust in the investigator was influenced upon the reveal of financial interests. To read more, visit www.springerlink.com/content/jn8914455w236040.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.