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- W4324027248 abstract "<sec> <title>BACKGROUND</title> Nearly 1 in 3 clinical trials end prematurely due to under-enrollment. Strategies to enhance recruitment are often implemented without scientific rigor to evaluate efficacy. Evidence-based and cost-effective behavioral economic strategies designed to influence decision-making may be useful methods to promote clinical trial enrollment. </sec> <sec> <title>OBJECTIVE</title> This study evaluated two behavioral economic strategies to improve enrollment and retention rates across four clinical trials: information provision (IP) and contingency management (CM; i.e., lottery). IP targets descriptive and injunctive norms about participating in research and CM provides participants incentives to reinforce a target behavior. </sec> <sec> <title>METHODS</title> A sample of 212 participants were enrolled across four clinical trials focused on tobacco use, HIV, and/or neuroimaging (NCT03169101, NCT03384784, NCT03438188, NCT02837510). The CM condition included a lottery: for each study visit completed, participants received 5 “draws” from a bowl containing 500 “chips” valued at $0, $1, $5, or $100. In the IP condition, text messages that targeted injunctive norms about research (e.g., “Many find it a rewarding way to advance science and be part of a community”) were sent via the Way to Health platform before all study visits. Participants were randomized to 1 of 4 conditions: IP, CM, IP+CM, or standard recruitment (SR). We performed logistic regression, controlling for sex and study, with condition as a between-subject predictor. Outcomes were the percentage who: attended a final eligibility visit (primary), met intent-to-treat criteria (ITT; secondary) and completed the study (secondary). Recruitment was evaluated via the percentage of participants who attended a final eligibility visit, enrollment was evaluated by ITT status, and retention was assessed by the percentage of participants who completed the study. </sec> <sec> <title>RESULTS</title> Rates of attending the eligibility visit and meeting ITT status were: 58.9% and 33.9% for IP+CM; 45.5% and 18.2% for IP only; 41.5% and 18.9% for CM only; and 37.5% and 12.5% for SR, respectively. In the logistic regression, females were more likely to meet ITT status than males (OR=2.7, 95% CIs [1.2, 5.7], P=.01). The IP+CM group was twice as likely to attend the final eligibility visit than the SR group (OR=2.4, 95% CI [1.1, 5.2], P=.04). The IP+CM group was also significantly more likely to reach ITT status than the SR condition (OR=3.9, 95% CI [1.3, 11.1], P=.01). Those who received any active intervention (IP, CM, or IP+CM) had a higher study completion rate (63.5%) compared to those who received SR (41.7%), but this difference was not statistically significant (P=.26). </sec> <sec> <title>CONCLUSIONS</title> Combining IP and CM strategies may motivate participants to participate in research and improve recruitment and retention rates. Evidence from this study provides preliminary support for the utility of behavioral economics strategies to improve enrollment and reduce attrition in clinical trials. </sec> <sec> <title>CLINICALTRIAL</title> <p /> </sec>" @default.
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- W4324027248 date "2023-03-08" @default.
- W4324027248 modified "2023-09-30" @default.
- W4324027248 title "Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: An Embedded Recruitment Pilot Trial (Preprint)" @default.
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- W4324027248 doi "https://doi.org/10.2196/preprints.47121" @default.
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