Patient Recruitment and Enrollment in Clinical Trials
Patient Recruitment and Enrollment in Clinical Trials
Blog Article
Finding participants for clinical trials can be tougher than conducting the trials themselves. A delay in recruitment stretches the study's timeline, delaying the treatment's market availability. Explore the infographic below to comprehend 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 28% are new.
Top sources of clinical trial information:
58% from primary care physicians
40% from online registries
30% 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
Thirty-six percent to improve others' lives
15% to improve their condition
Eight percent 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
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:
40% side effects
33% overall health click here risks
Seven percent 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: Seventy-four percent are open to discussing trial participation in online peer communities, and ninety-four percent of volunteers would participate again.
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Patient Recruitment and Enrollment in Clinical Trials