4 research outputs found
Accrual and Recruitment Practices at Clinical and Translational Science Award (CTSA) Institutions: A Call for Expectations, Expertise, and Evaluation
To respond to increased public and programmatic demand to address underenrollment of clinical translational research studies, the authors examine participant recruitment practices at Clinical and Translational Science Award sites (CTSAs) and make recommendations for performance metrics and accountability
StudySearch: a web-based application for posting and searching clinical research studies
Enrollment in a brain magnetic resonance study: results from the Women\u27s Health Initiative Memory Study Magnetic Resonance Imaging Study (WHIMS-MRI)
RATIONALE AND OBJECTIVES: The rates of enrollment of volunteers for brain magnetic resonance imaging (MRI) studies vary by demographic and clinical characteristics. We use data from a large MRI study to identify factors associated with differential enrollment and to examine potential biases this may produce in study results.
MATERIALS AND METHODS: Results from recruitment of 1,431 women into the MRI substudy of the Women\u27s Health Initiative Memory Study (WHIMS-MRI) are described. A sensitivity analysis was conducted to estimate the degree of bias associated with missing data on estimates of risk factor relationships.
RESULTS: Of 2,345 women contacted from an established cohort of women older than 70 years of age, 72% consented to undergo screening for WHIMS-MRI. Scanning was ultimately completed on 61%. Completion rates varied according to a range of sociodemographic, lifestyle, and clinical characteristics that may be related to study outcomes. Plausible levels of selective enrollment in magnetic resonance imaging studies may produce moderate biases (\u3c +/-20%) in characterizations of risk factor relationships. Adverse events, such as claustrophobia, occurred during 1.7% of the attempted scans and, in 0.8% of instances, led to lost data.
CONCLUSIONS: Enrollment of older women into brain imaging studies is feasible, although selection biases may limit how well study cohorts reflect more general populations