Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: Mar 8, 2023
Date Accepted: Jun 19, 2023

The final, peer-reviewed published version of this preprint can be found here:

Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: Embedded Recruitment Pilot Trial

Greene B, Bernardo L, Thompson M, Loughead J, Ashare R

Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: Embedded Recruitment Pilot Trial

JMIR Form Res 2023;7:e47121

DOI: 10.2196/47121

PMID: 37477975

PMCID: 10403799

Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: An Embedded Recruitment Pilot Trial

  • Brittney Greene; 
  • Leah Bernardo; 
  • Morgan Thompson; 
  • James Loughead; 
  • Rebecca Ashare

ABSTRACT

Background:

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 or cost-effectiveness.

Objective:

This study evaluated two behavioral economic strategies to improve enrollment and retention rates: information provision (IP) and contingency management (CM; i.e., lottery) across four clinical trials.

Methods:

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, and standard recruitment (SR). We performed logistic regression, controlling for sex and study, with condition as a between-subject predictor. Outcomes were percentage who met final eligibility (FE; primary) and intent-to-treat criteria (ITT; secondary).

Results:

Results:

Rates of meeting FE and ITT status were: 42.9% and 33.9% for IP+CM; 30.9% and 18.2% for IP only; 20.8% and 18.9% for CM only; and 25% and 12.5% for SR, respectively. In the logistic regressions, females were more likely to meet FE and ITT status than males (ORs= 2.0 and 2.7, respectively, P=.04 and .01, respectively). Although not significant, the IP+CM group was twice as likely to achieve FE status than the SR group (OR=2.3, 95%CI 0.96, 5.4, P=.06). The IP+CM group was significantly more likely to reach ITT status than the SR condition (OR= 3.9, 95%CI 1.3, 11.1, P=.01). Follow-up models suggested that those who received the IP condition (controlling for CM) were significantly more likely to reach FE status (OR=1.9, 95%CI 1.0, 3.6, P=.04). However, CM (controlling for IP) accounted for increased likelihood to reach ITT status (OR=2.3, 95% CI 1.1, 4.7, P=.03).

Conclusions:

Combining IP and CM strategies may improve rates of recruitment and retention. IP appeared to have increased enrollment, while CM increased retention rates. Evidence from this study provides support for the utility of behavioral economics strategies to improve enrollment and reduce attrition in clinical trials.


 Citation

Please cite as:

Greene B, Bernardo L, Thompson M, Loughead J, Ashare R

Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: Embedded Recruitment Pilot Trial

JMIR Form Res 2023;7:e47121

DOI: 10.2196/47121

PMID: 37477975

PMCID: 10403799

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.