Strategies for Equitable Recruitment to Engage Underrepresented Youth and Their Families into Clinical Research: Findings from the BEAD-T1D Pilot Study
Authors' conclusion
We identified that culturally and linguistically congruent staff, flexible recruitment practices, and prioritizing participant availability were solutions to recruit a diverse study cohort resulting exceeding recruitment goals. Cultural interpersonal relationships formed with families addressed barriers to research participation within and outside of the medical system. These strategies suggest equitable clinical trial recruitment is feasible in diabetes research.
Study context
- Population
- Underrepresented families of youth with T1D (pediatric T1D families), BEAD-T1D study
- Participants
- 64 eligible families
- Outcome
- Recruitment
Methodological detailsdescriptive recruitment study, bilingual/bicultural Latino research assistant, culturally congruent recruitment
- Descriptive recruitment study
- Bilingual/bicultural Latino research assistant
- Culturally congruent recruitment
Main finding
As reported in the abstract
- Families eligible
- 64
- Families approached
- 49
- Families consented
- 32
- Clinic approaches resulting in consent
- 87%
- Surveys recruited/goal
- 31/30
- Focus groups/interviews recruited/goal
- 26/20
- Advisory board recruited/goal
- 22/10
Further findings
Characteristics of consented families
- Age, years (mean ± SD)
- 39 ± 7.9
- Female
- 81%
- Hispanic
- 72%
- NHW
- 28%
- <50K income
- 69%
- Spanish-speaking
- 50%
Barriers and facilitators to clinic approaches
- Barriers: late/no response from clinicians, care team ending visit, bandwidth/connectivity issues
- Facilitators: collaborative clinic care teams, flexible research assistant (RA) hours, patient screening days in advance
Original publication
Strategies for Equitable Recruitment to Engage Underrepresented Youth and Their Families into Clinical Research: Findings from the BEAD-T1D Pilot Study. Horm Res Paediatr. Published 4 October 2024. doi:10. 1159/ 000541774
Composed by AI from the published abstract and checked against it. How Briefs are made →