SSM - Population Health | 2021

Women at high risk of HIV-infection in Kampala, Uganda, and their candidacy for PrEP

 
 
 
 

Abstract


Pre-exposure prophylaxis (PrEP), antiretroviral medication for prevention of HIV-acquisition, is part of biomedical HIV prevention strategies recommended for people at risk of HIV-infection. A decision to take PrEP depends on an assessment of ‘being at risk’ either by an individual, or healthcare provider. In this paper, we draw on the concept of ‘candidacy’ to examine the different ways in which women attending a dedicated clinic in Kampala, Uganda, for women at risk of HIV infection (including sex workers), assessed their suitability for PrEP. We conducted in-depth interviews with 30 HIV negative women up to four different times, to gather information on the motives for taking PrEP, and their life history and daily life. All the women described the relevance of PrEP to mitigate their risk of HIV infection. However, there were challenges to adherence because of alcohol use, irregular working hours and a fear of being seen taking pills that others might assume to be HIV treatment. The ways in which the different women used PrEP and interpreted the place of PrEP in their lives were not solely based on their assessment of protecting themselves during sex work. They also used PrEP to guard against infection from their regular partners, and as a tool to allow them to make more money safely, by having sex without a condom with clients. While eligibility to access PrEP was predicated on the women s being in an ‘at risk’ population group, an incentive to use PrEP was to protect themselves from HIV acquisition from a long-term partner and preserve the ‘trust’ in their intimate relationship by having condom-less sex. Applying a candidacy lens we highlight the complexity in how women experience and present as being ‘at risk’ and query the criteria on which categories of risk and PrEP eligibility are determined.

Volume 13
Pages None
DOI 10.1016/j.ssmph.2021.100746
Language English
Journal SSM - Population Health

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