Abstract
36 Background: The medical specialty of oncology relies heavily on clinical trials to advance policies and practices related to cancer care. However, oncology clinical trial accrual in Ontario has dropped from 12.4% in 2007, to 8.5% in 2009. The objective of this study was to determine barriers experienced by Oncologists and Clinical Research Personnel (CRP) in recruiting patients to oncology trials in Ontario. Methods: In June 2012, an electronic survey was emailed to about 400 oncologists and CRP across Ontario. Variables of interest included demographic data, clinical trial involvement, and perceived barriers to participation in clinical trials amongst three previously identified barrier domains. Barriers were ranked, from 1 (least significant) to 5 (most significant). Statistics were compiled using Graphpad Prism software. Differences in responses were analyzed using the Kruskal – Wallis test and Dunn’s Multiple Comparison Test. Results: Of the 400 emails sent, there were 126 respondents (32%). Of the 126 respondents, 82 fully completed the survey (64.6% useable response rate). Amongst system related barriers, “time related” (Median Agreement (M): 4, Inter Quartile Range (IQR): 3-5), and “resource related” barriers (M: 4, IQR: 3-5) had the most negative effect on accrual (p<0.05). Amongst trial design barriers, “Relevance to patient population” (M: 3, IQR: 3-5), “Deviation from Standard of Care” (M: 3, IQR: 3-5) and “Complexity of Trial Protocol” (M: 4, IQR: 3-5) were the most significant barriers (p<0.05). Lastly, amongst personal barriers, “Commitment of the Principal Investigator/Research Staff” (M: 4, IQR: 3-5) and Drug Safety (M: 4, IQR: 2-4) were the most significant barriers to recruitment (p<0.05). Conclusions: Multiple barriers were identified as having a significant impact on patient accrual in clinical trials. Addressing these barriers prospectively in clinical trial design may benefit future studies to successfully accrue cancer patients. Also, creating clinical trial collaboration vehicles amongst sites in similar geographical areas may contribute to improving patient accrual to clinical trials.
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