Patient Recruitment and Enrollment in Clinical Trials

Attracting participants for clinical trials is frequently more challenging than conducting the trials themselves. A delay in recruitment stretches the study's timeline, delaying the treatment's market availability. Check out 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

Seventy-two percent 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
30% from search engines
19% from primary care nurses
19% from pharmaceutical companies
Motivations for Participation

Top perceived benefits:
Twenty-six percent to advance medicine
Thirty-six percent 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
63% confidentiality
73% types of procedures
75% study purpose
83% potential risks and benefits
Enrollment Challenges

37% 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 19% unwilling to participate and seven percent unsure.
Top perceived risks:
40% side effects
33% 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: Seventy-four percent are open to discussing trial participation in online peer communities, and ninety-four percent of volunteers check here would participate again.

To learn more visit our website at https://recruitqualified.com

Patient Recruitment and Enrollment in Clinical Trials

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