Gender disparities in HIV infection among persons who inject drugs in Central Asia: A systematic review and meta-analysis
Introduction
Persons who inject drugs (PWID) are at high risk for infection with human immunodeficiency virus (HIV); however, not all persons who inject drugs are at equal risk for becoming infected with the virus. There are multiple reasons why females who inject drugs may be at higher risk for becoming infected with HIV than males who inject drugs. Females may have greater difficulties in obtaining sterile injection equipment (Parker and Aggleton, 2003). Females may experience greater discrimination when they seek treatment for substance use disorders (Khalid, 2007, UNODC, 2012). Female PWID are quite likely to have male PWID as sexual partners while male PWID are likely to have females who do not inject drugs as their primary sexual partners (Go et al., 2006). Male to female sexual transmission of HIV is more efficient than female to male transmission (European Study Group on Heterosexual Transmission of HIV, 1992), so that female PWID are likely to be at higher risk for acquiring HIV through sexual transmission. There is a moderate overlap of females who are commercial sex workers and also inject drugs in certain countries, including China (Gu et al., 2009, Wang et al., 2012), Mexico (Ulibarri et al., 2010) and Russia (Decker et al., 2012, Kozlov et al., 2006), facilitating both injection related and sexual transmission of HIV. Finally, there are substantial gender inequalities in many countries (including Central Asian countries) (United Nations Development Program, 2012) that may contribute to higher HIV risk for females in general.
Many countries in Central Asia are currently experiencing injecting drug use concentrated epidemics (Mathers et al., 2008). In this report, we examine the evidence for sex disparities in HIV among PWID in countries in Central Asia, compare these disparities with sex disparities among PWID in other parts of the world, and consider the implications for the prevention and treatment of HIV among PWID in Central Asia.
Section snippets
Search strategies
The literature search we conducted for this review utilized PRISMA guidelines (Liberati et al., 2009). Studies were selected from several sources including PubMed, EMBASE, and Web of Science. Systematic literature searches were conducted using a comprehensive search terminology to identify potentially eligible articles from journals and government/country reports. In addition, we also searched gray literature, conference abstracts, international and regional harm reduction websites, contacted
Results
Fig. 2 shows the PRISMA diagram (Liberati et al., 2009, Moher et al., 2009) for the searching and screening that led to the final number of studies included in this review. Searching identified 176 peer-reviewed articles and 2350 gray literature titles. There were 10 papers that were in languages other than English, 166 duplicates, and 11 that could not be obtained; these were eliminated from the review. We then screened 2339 abstracts against the inclusion criteria and retrieved 182 full text
Discussion
First, we must note that, despite an extensive search, we were not able to locate a large number of studies of HIV prevalence by sex for PWID in Central Asia. We did screen very large numbers of abstracts and found only a modest number of papers that met our eligibility requirements; this is similar to the results in many other systematic reviews and meta-analyses.
Despite the modest number of included studies, there are patterns in the data that need to be considered. The results from Central
Role of funding source
Funding for this study was provided by NIH Grant R01 AI 083035-05; NIH had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication.
Contributors
D. Des Jarlais designed the study and wrote the protocol. J. Feelemyer and B. Williams managed the literature searches and summaries of previous related work. K. Arasteh undertook the statistical analysis, and authors D. Des Jarlais and Jonathan Feelemyer wrote the first draft of the manuscript. All authors contributed to and have approved the final manuscript.
Conflict of interest
All authors have no conflicts of interest with respect to the submitted manuscript.
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