Could misreporting of condom use explain the observed association between injectable hormonal contraceptives and HIV acquisition risk
Authored by Jennifer A Smith, Renee Heffron, Ailsa R Butler, Connie Celum, Jared M Baeten, Timothy B Hallett
Date Published: 2017
DOI: 10.1016/j.contraception.2016.12.003
Sponsors:
Bill and Melinda Gates Foundation
Platforms:
MATLAB
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Objective: Some observational studies have suggested an association
between the use of hormonal contraceptives (HC) and HIV acquisition. One
major concern is that differential misreporting of sexual behavior
between HC users and nonusers may generate artificially inflated risk
estimates.
Study design: We developed an individual-based model that simulates the
South African HIV serodiscordant couples analyzed for HC HIV risk by
Heffron et al. (2012). We varied the pattern of misreporting condom use
between HC users and nonusers and reproduced the trial data under the
assumption that HC use is not associated with HIV risk. The simulated
data were analyzed using Cox proportional hazards models, adjusting for
the reported level of condom use.
Results: If HC users ovelieport condom use more than nonusers, an
apparent excess risk could be observed even without any biological
effect of HC on HIV acquisition. With 45\% overreporting by HC users
(i.e., 9 out of every 20 sex acts reported with condoms are actually
unprotected) and accurate condom reporting by nonusers, a true null
effect can be inflated to give an observed hazard ratio ((HR) over cap)
of 2.0. In a different population with lower overall reported condom
use, artificially high (HR) over caps can only be generated if non-HC
users underreport condom use.
Conclusion: Differential condom misreporting can theoretically produce
inflated (HR) over cap values for an association between HC and HIV even
without a true association. However, to produce a doubling of HIV risk
that is entirely spurious requires substantially different levels of
misreporting among HC users and nonusers, which may be unrealistic.
Tags
mathematical modelling
Infection
HIV
transmission
South-africa
Metaanalysis
Behaviors
Condom use
Cohort
Discordant couples
Womens risk
Trial
Dmpa
Injectable hormonal contraceptives
Misreporting
bias