Finding participants for clinical trials is often more challenging than conducting the trials themselves. A delay in recruitment extends the study's timeline, pushing back the treatment's market availability. Explore the infographic below to grasp 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
40% from online registries
Thirty percent from search engines
19% from primary care nurses
19% from pharmaceutical companies
Motivations for Participation

Top perceived benefits:
Twenty-six percent to advance medicine
36% to improve others' lives
Fifteen percent to improve their condition
8% as the best treatment option
Five percent for monetary compensation
Factors influencing participation:
60% physical location
Sixty-three percent confidentiality
73% types of procedures
Seventy-five percent study purpose
83% potential risks and benefits
Enrollment Challenges

Thirty-seven percent of sites under-enroll, with 11% 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 nineteen percent unwilling to participate and 7% unsure.
Top perceived risks:
Forty percent side effects
Thirty-three percent overall health risks
7% receiving placebo
Seven patient recruitment percent stopping beneficial treatments
40% 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 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