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Enrollment and representativeness, in cancer trials, have been a problem resulting in studies with poor generalizability to the real-world population. This study uses qualitative analysis of two publicly available datasets… Click to show full abstract
Enrollment and representativeness, in cancer trials, have been a problem resulting in studies with poor generalizability to the real-world population. This study uses qualitative analysis of two publicly available datasets (HSRProj and RePORTER) to explore funded research projects, which employ strategies at the macro, meso, and micro levels. Our research shows that although the number of projects designed to increase participation in cancer clinical trials peaked in the 2000s, most employ a single level strategy.
Journal Title: Studies in health technology and informatics
Year Published: 2019
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