Recruiting participants for clinical trials can be tougher than conducting the trials themselves. A delay in recruitment prolongs the study's timeline, delaying 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
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:
Sixty percent physical location
63% confidentiality
73% types of procedures
75% study purpose
Eighty-three percent potential risks and benefits
Enrollment Challenges

Thirty-seven percent of sites under-enroll, with 11% failing to enroll any patients.
Doubling original timelines helps 90% of trials meet enrollment goals.
Seventy percent of the public haven't considered clinical trials, with check here nineteen percent 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 seventy percent seldom consider clinical trials when discussing treatment options.
However, there's optimism for improvement: Seventy-four percent 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