Recruiting participants for clinical trials can be tougher than conducting the trials themselves. A delay in recruitment stretches the study's timeline, pushing back the treatment's market availability. Explore the infographic below to understand how the public discovers clinical trials, motivations for participation, and the hurdles faced in enrollment.
Patient Recruitment and Enrollment Infographic
Discovering Clinical Trials
72% of participants are existing patients, while twenty-eight percent are new.
Top sources of clinical trial information:
Fifty-eight percent from primary care physicians
Forty percent from online registries
Thirty percent from search engines
19% from primary care nurses
19% from pharmaceutical companies
Motivations for Participation
Top perceived benefits:
26% to advance medicine
36% to improve others' lives
Fifteen percent to improve their condition
8% as the best treatment option
5% for monetary compensation
Factors influencing participation:
60% physical location
Sixty-three percent confidentiality
Seventy-three percent types of procedures
Seventy-five percent study purpose
Eighty-three percent potential risks and benefits
Enrollment Challenges
Thirty-seven percent of sites under-enroll, with eleven percent failing to enroll any patients.
Doubling original timelines helps ninety percent of trials meet enrollment goals.
Seventy percent of the public haven't considered clinical trials, with 19% unwilling to participate and 7% unsure.
Top perceived risks:
40% side effects
Thirty-three percent overall health risks
Seven percent receiving placebo
Seven percent stopping beneficial treatments
40% lack confidence in finding a suitable study, and 70% seldom consider clinical trials when discussing treatment options.
However, there's optimism for improvement: 74% are open to discussing click here trial participation in online peer communities, and ninety-four percent of volunteers would participate again.
To learn more visit our website at https://recruitqualified.com
Patient Recruitment and Enrollment in Clinical Trials