Identifying Adolescents at Highest Risk of ART Non-adherence, Using the World Health Organization-Endorsed HEADSS and HEADSS+ Checklists

Brief tools are necessary to identify adolescents at greatest risk for ART non-adherence. From the WHO's HEADSS/HEADSS+ adolescent wellbeing checklists, we identify constructs strongly associated with non-adherence (validated with viral load). We conducted interviews and collected clinical records from a 3-year cohort of 1046 adolescents living with HIV from 52 South African government facilities. We used least absolute shrinkage and selection operator variable selection approach with a generalized linear mixed model. HEADSS constructs most predictive were: violence exposure (aOR 1.97, CI 1.61; 2.42, p < 0.001), depression (aOR 1.71, CI 1.42; 2.07, p < 0.001) and being sexually active (aOR 1.80, CI 1.41; 2.28, p < 0.001). Risk of non-adherence rose from 20.4% with none, to 55.6% with all three. HEADSS+ constructs were: medication side effects (aOR 2.27, CI 1.82; 2.81, p < 0.001), low social support (aOR 1.97, CI 1.60; 2.43, p < 0.001) and non-disclosure to parents (aOR 2.53, CI 1.91; 3.53, p < 0.001). Risk of non-adherence rose from 21.6% with none, to 71.8% with all three. Screening within established checklists can improve identification of adolescents needing increased support. Adolescent HIV services need to include side-effect management, violence prevention, mental health and sexual and reproductive health

Understanding willingness to use oral pre-exposure prophylaxis for HIV prevention among men who have sex with men in China.

BACKGROUND: Oral pre-exposure prophylaxis (PrEP) is recommended as an additional prevention choice for men who have sex with men (MSM) at substantial risk of HIV. The aim of this study was to evaluate the extent, and reasons, for MSM's willingness to use oral PrEP in Wuhan and Shanghai, China. METHODS: Between May and December 2015, a cross-sectional survey was conducted among 487 MSM recruited through snowball sampling in physical locations frequented by MSM and through social media applications. Exploratory factor analysis was used to group reasons for being willing or not willing to use PrEP. Chi-square tests were used to explore bivariate associations between groupings of reasons for being willing or unwilling to use PrEP, and key sociodemographic and sexual-behavioral characteristics of MSM. RESULTS: Overall, 71.3% of respondents were willing to use PrEP. The most commonly reported reasons for being willing to use PrEP were preventing HIV infection (91.6%), taking responsibility for own sexual health (72.6%) and protecting family members from harm (59.4%). The main reasons for being unwilling to use PrEP were being worried about side effects (72.9%), the necessity of taking PrEP for long periods of time (54.3%) and cost (40.4%). Individual characteristics that influenced the type of reasons given for being willing or unwilling to use PrEP included being married to a woman, having a regular sex partner, rates of condom use with regular and casual sex partners, and the number of casual sex partners. CONCLUSION: The introduction of PrEP in China could benefit from promotion campaigns that emphasize its role in preventing HIV infection, in taking responsibility for own sexual health, and in protecting family members from potential harm. To reduce uptake barriers, it will be essential to provide accurate information to potential PrEP users about the mild and short-term nature of side effects, and the possibility of taking PrEP only during particular periods of life when the risk of HIV exposure might be highest

Identifying adolescents at highest risk of ART non-adherence, using the World Health Organization-endorsed HEADSS and HEADSS+ checklists

Brief tools are necessary to identify adolescents at greatest risk for ART non-adherence. From the WHO’s HEADSS/HEADSS+ adolescent wellbeing checklists, we identify constructs strongly associated with non-adherence (validated with viral load). We conducted interviews and collected clinical records from a 3-year cohort of 1046 adolescents living with HIV from 52 South African government facilities. We used least absolute shrinkage and selection operator variable selection approach with a generalized linear mixed model. HEADSS constructs most predictive were: violence exposure (aOR 1.97, CI 1.61; 2.42, p < 0.001), depression (aOR 1.71, CI 1.42; 2.07, p < 0.001) and being sexually active (aOR 1.80, CI 1.41; 2.28, p < 0.001). Risk of non-adherence rose from 20.4% with none, to 55.6% with all three. HEADSS+ constructs were: medication side effects (aOR 2.27, CI 1.82; 2.81, p < 0.001), low social support (aOR 1.97, CI 1.60; 2.43, p < 0.001) and non-disclosure to parents (aOR 2.53, CI 1.91; 3.53, p < 0.001). Risk of non-adherence rose from 21.6% with none, to 71.8% with all three. Screening within established checklists can improve identification of adolescents needing increased support. Adolescent HIV services need to include side-effect management, violence prevention, mental health and sexual and reproductive health

Bivariate analysis of factors associated with unwillingness to use pre-exposure prophylaxis (PrEP).

<p>Bivariate analysis of factors associated with unwillingness to use pre-exposure prophylaxis (PrEP).</p

Factor loadings for the first three principal factors of eight specified reasons for unwilling to use pre-exposure prophylaxis (PrEP).

<p>Factor loadings for the first three principal factors of eight specified reasons for unwilling to use pre-exposure prophylaxis (PrEP).</p

Percentage of respondents reporting each of seven specified reasons for willing to use pre-exposure prophylaxis (PrEP).

<p>Percentage of respondents reporting each of seven specified reasons for willing to use pre-exposure prophylaxis (PrEP).</p

Percentage of respondents reporting each of eight specified reasons for not willing to use pre-exposure prophylaxis (PrEP).

<p>Percentage of respondents reporting each of eight specified reasons for not willing to use pre-exposure prophylaxis (PrEP).</p

Factor loadings for the first two principal factors of seven specified reasons for willing to use pre-exposure prophylaxis (PrEP).

<p>Factor loadings for the first two principal factors of seven specified reasons for willing to use pre-exposure prophylaxis (PrEP).</p

Simple logistic and multivariable logistic regression.

<p>Simple logistic and multivariable logistic regression.</p