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Bias Adjustment Techniques Are Underutilized in HIV Sexual Risk Estimation: A Systematic Review
Journal article   Open access   Peer reviewed

Bias Adjustment Techniques Are Underutilized in HIV Sexual Risk Estimation: A Systematic Review

Nguyen K Tran, Neal D Goldstein and Seth L Welles
International journal of environmental research and public health, v 15(8), p1696
09 Aug 2018
PMID: 30096874
url
https://doi.org/10.3390/ijerph15081696View
Published, Version of Record (VoR) Open

Abstract

HIV Infections - prevention & control Unsafe Sex - statistics & numerical data Bias Humans Risk-Taking Bayes Theorem Adult HIV Infections - transmission Male Sexual Partners Homosexuality, Male - statistics & numerical data
Valid measurement of determinants of HIV infection among men who have sex with men (MSM) is critical for intervention planning and resource allocation. However, sexual minority research concerning HIV risk often relies on proxy exposures of sexual behaviors such as sexual orientation and partner gender. Inferring high risk sexual behaviors (i.e., condomless anal intercourse) from these proxies inaccurately captures HIV risk, but few studies have attempted to correct for this bias. We performed a systematic review of methodological practices for estimating risk of HIV infection among MSM. We identified 32 studies in which high risk sexual behavior was assessed: 82% ( = 26) measured and used sexual risk behaviors (e.g., condomless anal intercourse or sexual positioning) to assess risk of HIV infection; 9% ( = 3) used proxy measures; and 9% ( = 3) used both behavior and proxy variables. Various treatments of misclassification reported by investigators included the following: 82% ( = 26) discussed misclassification of sexual behavior as a potential limitation; however, among these studies, no attempts were made to correct misclassification; 12% ( = 4) did not report exposure misclassification, and 6% ( = 2) explicitly considered this information bias and conducted a Bayesian approach to correct for misclassification. Our systematic review indicates that a majority of studies engaging in collecting primary data have taken additional steps to acquire detailed information regarding sexual risk behaviors. However, reliance on population-based surveys may still lead to potentially biased estimates. Thus, bias analytic techniques are potential tools to control for any suspected biases.

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Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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