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Date:6/3/2011

ollment (J NCCN, 2007). During development of an intervention to improve pt preparation for consideration of clinical trials, we conducted a survey to identify pt characteristics associated with knowledge and attitudinal barriers (NIH R01 CA127655). Methods: Eligible pts were adults with a cancer diagnosis scheduled for their first medical oncologist visit. Informed consent was obtained to participate in a survey before the initial consultation. The survey included demographic information and an assessment of potential clinical trials barriers. Items included 19 correct-incorrect knowledge questions and 29 attitudinal barriers that were assessed on a 5-point Likert scale (1=strongly disagree, 5=strongly agree; 4-5 scored as "positive"). Cronbach's alphas and factor analysis were used to develop four attitudinal barriers subscales: fears and emotions, knowledge and finances, logistics, and mistrust of the medical system. Multiple linear regression analysis examined the relationship of demographics with barriers. Results: 156 pts enrolled: 40% female, 23% African American (AA), 42% college educated, mean age 58.7 years. Non-AA pts answered more knowledge questions correctly (mean 11.5 vs. 9.1, p=0.002) as did college educated pts (mean 13 vs. 9.5, p<0.001). Race was not associated with attitudinal barriers in the multivariable analysis. College education was associated with fewer attitudinal barriers (fears and emotions, p=0.092; knowledge and finances, p=0.005; logistics, p<0.001; mistrust of the medical system, p=0.049). Females scored higher on the fears and emotions subscale (p=0.015). Most commonly cited attitudinal barriers were fear of side effects on a clinical trial (54% of pts), not knowing where to find a clinical trial (40%) and unwillingness to travel extra distance for a clinical trial (39%). Conclusions: Lower educational level and female gender, but not race, are independently associated with barriers to clinical trials, suggesting a tailored approach
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Contact: Alicia Reale
alicia.reale@uhhospitals.org
216-533-0685
University Hospitals Case Medical Center
Source:Eurekalert

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