Determining call-to-entry rate and recruitment barriers in clinical studies for community clinics serving low-income populations: a cohort study.
retrospective_cohort · Level III
Where this comes from
- Record sourced from PubMed, PMID 37898484.
- Also identified by DOI 10.1136/bmjopen-2023-077819 and PMC identifier 10619090.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Recruitment for clinical studies is challenging. To overcome barriers, investigators have previously established call-to-entry rates to assist in planning. However, rates specific to low-income minority populations are needed to account for additional barriers to enrolment these individuals face. To obtain a call-to-entry rate in a low-income uninsured Hispanic population with chronic disease. We used data from four of our randomised clinical studies to determine the call-to-entry rate for individuals (n=1075) with or at risk for type 2 diabetes: participants needed/potential participants contacted=recruitment rate (yield). Research staff contacted potential participants to enrol in a study that evaluated 6 month diabetes programmes at community clinics from 2015 to 2020. We recorded call-to-entry rates, reasons for declining the study, show rates, and attrition. The call-to-entry rate was 14.5%. Forty per cent of potential participants could not be contacted, and 30.6%, 19.1%, and 5.4% responded <i>yes</i>, <i>no</i>, and <i>maybe</i>, respectively. No show percentages were 54% for <i>yes</i> and 91.4% for <i>maybe</i> responders. The majority (61.6%) declined due to inability to attend; reasons to decline included work (43%), eligibility (18%), transportation (10%), out of town (9%), did not think they needed the programme (7%) and other/unknown (14%). Being a physician predicted inability to reach participants (adjusted OR 2.91, 95% CI 1.73 to 4.90). Attrition was 6.8%. We described a call-to-entry rate and detailed recruitment data, including reasons to decline the study. This valuable information can assist investigators in study planning and overcoming enrolment barriers in low-income populations. Telehealth-based or strategies that limit transportation needs may increase participant involvement. NCT03394456.
Medical subject headings
- Diabetes Mellitus, Type 2
- Patient Selection