Recruitment of Female Sex Workers in HIV Prevention Trials: Can Efficacy Endpoints Be Reached More Efficiently?
File(s)FSW modelling manuscript_jaids_revised_clean.docx (678.76 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Background/Setting: Randomized controlled trials (RCTs) of HIV biomedical prevention interventions often enroll participants with varying levels of HIV exposure, including people never exposed to HIV. We assessed whether enrolling larger proportion of participants with consistently high exposure to HIV, such as female sex workers (FSW), might reduce trial duration and improve the accuracy of product efficacy estimates in future HIV prevention trials.
Methods: We used an individual-based stochastic model to simulate event-driven RCTs of an HIV prevention intervention providing 80% reduction in susceptibility per act under different proportions of FSW enrolled. A 5% annual drop-out rate was assumed for both FSW and non-FSW in our main scenario, but rates of up to 50% for FSW were also explored.
Results: Enrolling 20% and 50% FSW reduced the median simulated trial duration from 30 months with 0% FSW enrolled to 22 months and 17 months, respectively. Estimated efficacy increased from 71% for RCTs without FSW to 74% and 76% for RCTs with 20% and 50% FSW enrolled, respectively. Increasing the FSW drop-out rate to 50% increased the duration of RCTs by 1-2 months on average and preserved the gain in estimated efficacy.
Conclusion: Despite the potential logistical challenges of recruiting and retaining FSW, trialists should revisit the idea of enrolling FSW in settings where HIV incidence among FSW is higher than among non-FSW. Our analysis suggests that enrolling FSW would increase HIV incidence, reduce trial duration and improve efficacy estimates, even if the annual drop-out rate among FSW participants is high.
Methods: We used an individual-based stochastic model to simulate event-driven RCTs of an HIV prevention intervention providing 80% reduction in susceptibility per act under different proportions of FSW enrolled. A 5% annual drop-out rate was assumed for both FSW and non-FSW in our main scenario, but rates of up to 50% for FSW were also explored.
Results: Enrolling 20% and 50% FSW reduced the median simulated trial duration from 30 months with 0% FSW enrolled to 22 months and 17 months, respectively. Estimated efficacy increased from 71% for RCTs without FSW to 74% and 76% for RCTs with 20% and 50% FSW enrolled, respectively. Increasing the FSW drop-out rate to 50% increased the duration of RCTs by 1-2 months on average and preserved the gain in estimated efficacy.
Conclusion: Despite the potential logistical challenges of recruiting and retaining FSW, trialists should revisit the idea of enrolling FSW in settings where HIV incidence among FSW is higher than among non-FSW. Our analysis suggests that enrolling FSW would increase HIV incidence, reduce trial duration and improve efficacy estimates, even if the annual drop-out rate among FSW participants is high.
Date Issued
2018-04-01
Date Acceptance
2017-11-08
Citation
JAIDS-Journal of Acquired Immune Deficiency Syndromes
ISSN
1525-4135
Publisher
Lippincott, Williams & Wilkins
Start Page
350
End Page
357
Journal / Book Title
JAIDS-Journal of Acquired Immune Deficiency Syndromes
Volume
77
Issue
4
Copyright Statement
© 2018 Wolters Kluwer Health, Inc. All rights reserved. This is the accepted version of the article Recruitment of Female Sex Workers in HIV Prevention Trials: Can Efficacy Endpoints Be Reached More Efficiently? Daniel WOOD; Kathryn E. LANCASTER; Marie-Claude BOILY; Kimberly A. POWERS; Deborah DONNELL; Myron S. COHEN; Dobromir T. DIMITROV. JAIDS Journal of Acquired Immune Deficiency Syndromes. Publish Ahead of Print():, NOV 2017.
Sponsor
National Institutes of Health
Grant Number
UM1AI068617 Sub#0000925919
Subjects
Science & Technology
Life Sciences & Biomedicine
Immunology
Infectious Diseases
HIV prevention
clinical trial
female sex workers
mathematical modeling
AFRICAN WOMEN
PREEXPOSURE PROPHYLAXIS
CLINICAL-TRIALS
SOUTH-AFRICA
HIGH-RISK
INFECTION
MEN
PATTERNS
PROGRAM
COHORT
Virology
Publication Status
Published
Date Publish Online
2017-11-28