Register Now: Beyond EDC: Designing a Connected Data Strategy for Predictive Clinical Development
News|Articles|August 1, 2010

Applied Clinical Trials

  • Applied Clinical Trials-08-01-2010
  • Volume 0
  • Issue 0

What Factors Influence a Site to Say "Yes" to a Trial

The design and completeness of the protocol and early and open communication with research center personnel are factors that most influence investigative site willingness to participate in a clinical study.

The design and completeness of the protocol and early and open communication with research center personnel are factors that most influence investigative site willingness to participate in a clinical study.

The Tufts Center for the Study of Drug Development (Tufts CSDD) conducted a survey in February and March 2010 among investigative sites around the world. More than 3500 sites completed the survey. Of the 13 factors rated, four of the most influential are related to protocol design: Availability of qualified, eligible study volunteers (the top rated by 63%); completeness of information about the study (55%); scientific attractiveness of the protocol (49%); and complexity of the protocol (29%).

Top Reasons Investigative Sites Participate in Studies

Two of the factors that most influence investigative site willingness to participate are communication related: completeness of study information (55%), and having early input into the protocol design (20%). Factors that had the least influence on site willingness to participate in a clinical study include the number of sites participating in the study (5% rate has "a great deal of influence"); type of electronic data capture system used (9%), and familiarity and experience with the contract research organization managing the study (16%).—Tufts Center for the Study of Drug Development, http://csdd.tufts.edu/.

Articles in this issue


Related to this article

What Needs to Happen Beyond the Clinical Trial Modernization Act
In this video interview, Kent Thoelke, CEO of Paradigm Health, calls for safe harbor protections, CMS reimbursement safeguards, and funding mechanisms modeled on EHR meaningful use to help community and rural institutions participate in research on par with academic centers.
Building AI Assistants Clinical Trial Teams Can Trust: Q&A with E.K. Koh, Suvoda
In this Q&A, E.K. Koh, chief product officer at Suvoda, discusses what separates a trustworthy AI assistant from one that adds risk, why curated clinical knowledge matters more than general-purpose flexibility, and what safeguards must be in place when assistants move from answering questions to taking actions in clinical trial systems.