Can a simple survey fix clinical trial diversity?
NCT ID NCT06735469
First seen Jun 26, 2026 ยท Last updated Jun 26, 2026
Summary
This completed study with 801 participants used a survey to understand what makes clinical trials more appealing to groups that are often left out, such as racial and ethnic minorities and people with lower incomes. Participants answered questions about trial features like getting results back, how much effort is involved, and whether tests are done at home or a clinic. The goal is to use this information to design future trials that attract a wider range of volunteers.
What this could mean
Our plain-language read of the trial. This is informational only โ not medical advice or a prediction.
- What this could lead to
- If successful, this could help design future clinical trials that better recruit and retain participants from underrepresented groups, making research results more applicable to everyone.
- What could go wrong
- This is a survey study, not a treatment trial. The findings may not translate into actual changes in recruitment, and preferences may vary across different populations.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CLINICAL TRIALS are added.
By submitting, you agree to our Terms of use
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Rush University Medical Center
Chicago, Illinois, 60612, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- A custom-shaped healing cap may keep gums and bone in better shape after tooth extraction and implant placement
- New website aims to close cancer care gap for black patients
- Brain training may ease chemo brain in breast cancer patients
- Stem cells injected into spine: hope for paralysis?
- New math could make clinical trials more accurate