Publication Cover
AIDS Care
Psychological and Socio-medical Aspects of AIDS/HIV
Volume 20, 2008 - Issue 8
638
Views
48
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLES

Improving recruitment and retention for an online randomized controlled trial: experience from the Youthnet study

, , &
Pages 887-893 | Received 06 Mar 2007, Published online: 05 Sep 2008
 

Abstract

The objective of the study was to present recruitment and retention findings for an Internet based HIV prevention trial evaluated using a randomized controlled design among 15–25-year-olds accessing a website on the Internet. We used a combination of automated electronic and personalized approaches to increase and diversify recruitment, verify participant eligibility and increase retention. We posted 3.5 million banner advertisements, 9354 individuals clicked on the advertisement, 8950 completed an eligibility screener and 3298 a baseline survey; we flagged 675 of these as suspicious and enrolled 2623 individuals. Of these, 2082 (79%) completed a follow-up at one-month and 1398 (53%) completed a two-month follow-up. This retention rate is the highest we have seen for an Internet-based HIV-prevention trial. Our procedures can be replicated in other trials. We stress the importance of using a combination of automated and personalized techniques to increase enrollment, verify eligibility and promote retention.

Acknowledgements

This work was funded by the National Institute of Mental Health, Grant #R01MH063690-S1.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 464.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.