Employment as HIV Prevention: An Employment Support Intervention for Adolescent Men Who Have Sex With Men and Adolescent Transgender Women of Color.

BACKGROUND: The purpose of this study was to adapt and pilot-test an employment support, primary HIV intervention tailored to the needs of adolescent men who have sex with men and adolescent transgender women of color. SETTING: The intervention was implemented in 2 settings: controlled environment (Phase 1) and real-world community-based (Phase 2) setting in Chicago, IL. METHODS: Eighty-seven adolescent men who have sex with men and adolescent transgender women of color ages 16-24 participated in Work2Prevent , a 4-session employment and HIV prevention intervention, designed to increase job-readiness and reduce HIV risk. Intervention sessions consisted of group activities: educational games, roleplaying/modeling behavior, and self-regulation exercises. Participants were assessed at baseline, postintervention, and 8-month (Phase 1) or 3-month follow-up (Phase 2). RESULTS: Participants evaluated Work2Prevent as feasible and acceptable, rating intervention quality, usefulness, and satisfaction highly. Overall, 59.6% (Phase 1) and 85.0% (Phase 2) participants attended 2 or more sessions. At 8 months, Phase 1 participants reported a mean increase of 11.4 hours worked per week. Phase 2 participants reported a mean increase of 5.2 hours worked per week and an increase in job-seeking self-efficacy. Phase 2 participants also reported a decrease in transactional sex work. CONCLUSION: Work2Prevent is one of the first structural primary HIV interventions to specifically focus on adolescent employment readiness. Findings suggest Work2Prevent is feasible and acceptable, improved adolescent employment outcomes, and reduced HIV risk associated with transactional sex work. Our study underscores the need for alternative pathways, such as addressing socioeconomic determinants, to prevent adolescent HIV infection.

Rates of Sexually Transmitted Infection Diagnoses Among US Youth With Perinatally and Nonperinatally Acquired HIV.

BACKGROUND: Of new sexually transmitted infections (STIs) in the United States, 50% occur among youth aged 15 to 24 years. Previous studies among youth with HIV (YHIV) do not distinguish STI trends among individuals with perinatally (YPHIV) and nonperinatally (YNPHIV) acquired HIV. METHODS: Among 3 Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN) studies conducted between 2009 and 2015, we estimated incident diagnoses of trichomonal, bacterial, viral, and overall STIs stratified by sex assigned at birth, mode of HIV acquisition (perinatal [YPHIV] and nonperinatal [YNPHIV]), age (13-17 and 18-24 years), CD4 count (<200, 200-499, and ≥500/µL), and HIV viral load (VL) (<400 and ≥400 copies/mL). RESULTS: Among 3131 YHIV, across the 3 studies, mean (SD) age was 20.6 (2.6) years, 888 (28%) were female, 2498 (80%) had nonperinatal HIV acquisition recorded, and 2298 (73%) were African American/Black. Mean follow-up was 0.9 (0.3) years. Compared with YPHIV, YNPHIV spent less person-time with VL <400 copies/mL (47% vs. 53%) and more time off antiretroviral therapy (49% vs. 15%), and had higher overall STI rates (males, 65.9 vs. 8.5/100 person-years [PY]; females, 54.7 vs. 17.2/100 PY). Among YPHIV, bacterial STIs were higher during person-time spent with VL ≥400 vs. <400 copies/mL (male YPHIV, 10.9 vs. 0.6/100 PY; female YPHIV, 11.2 vs. 2.9/100 PY); no difference was observed among YNPHIV, which may be due to concurrent acquisition of HIV and other STIs and limited follow-up. CONCLUSIONS: Compared with YPHIV, YNPHIV spent less time on antiretroviral therapy and virologically suppressed; YNPHIV also had higher STI diagnosis rates. Very high STI diagnosis rates among YHIV, including among those without virologic suppression, highlight the importance of youth-focused efforts to support durable virologic suppression and identify and treat STIs.

Rapid report on estimating incidence from cross-sectional data.

PURPOSE: In prospective cohort studies, incidence is typically estimated by the ratio of the observed number of events to person-time at risk. This crude estimator is consistent for the true population incidence rate (IR) under mild assumptions. Here we consider a different setting where only cross-sectional data are available, that is, at a single time point, participants are evaluated to identify whether they have previously had the event of interest. METHODS: Unlike the prospective cohort data setting, for cross-sectional data, the crude IR estimator is biased. Instead, the maximum likelihood estimator (MLE) may be used. Although the MLE does not have a simple closed form, it is consistent and easy to compute using statistical software. To compare the bias of the MLE and the crude estimator, a simulation was conducted. RESULTS: The crude estimator underestimated the true incidence, whereas the MLE was approximately unbiased. In general, bias of the crude estimator tended to be roughly one to two orders of magnitude larger (in absolute value) than the MLE. CONCLUSIONS: Under cross-sectional data with exact event times unknown, the MLE of the IR is straightforward to calculate, more accurate than the crude IR estimator, and consistent provided the hazard is constant.