Attracting participants for clinical trials is often a bigger challenge than conducting the trials themselves. A delay in recruitment stretches the study's timeline, pushing back the treatment's market availability. Take a look at 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
Seventy-two percent of participants are existing patients, while twenty-eight percent are new.
Top sources of clinical trial information:
58% from primary care physicians
Forty percent from online registries
Thirty percent from search engines
19% from primary care nurses
Nineteen percent from pharmaceutical companies
Motivations for Participation
Top perceived benefits:
Twenty-six percent to advance medicine
36% to improve others' lives
15% to improve their condition
Eight percent as the best treatment option
Five percent for monetary compensation
Factors influencing participation:
60% physical location
Sixty-three check here percent confidentiality
Seventy-three percent types of procedures
75% study purpose
83% 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.
70% of the public haven't considered clinical trials, with 19% unwilling to participate and seven percent unsure.
Top perceived risks:
Forty percent side effects
33% overall health risks
7% receiving placebo
7% stopping beneficial treatments
Forty percent lack confidence in finding a suitable study, and seventy percent seldom consider clinical trials when discussing treatment options.
However, there's optimism for improvement: 74% are open to discussing trial participation in online peer communities, and 94% of volunteers would participate again.
To learn more visit our website at https://recruitqualified.com
Patient Recruitment and Enrollment in Clinical Trials