Evaluating Evidence-Informed Behavioral Health Models to Improve HIV Health Outcomes: Quantitative Findings from the Ryan White HIV/AIDS Program Special Projects of National Significance Black Men Who Have Sex with Men Initiative.

The Black Men who have Sex with Men (MSM) Initiative was implemented at eight sites to engage and retain Black MSM in HIV medical care and supportive services (SS) by addressing their behavioral health (BH) care needs. Using a pre-post design and generalized logistic mixed-effects models adjusting for patient-level random effects, site, baseline age, and baseline mental health status, we evaluated whether participants experienced increased postintervention attainment of (1) Awareness of HIV medical care, BH care, and SS; (2) Screening, referral, linkage, receipt, and engagement in HIV care, BH care, and SS; and (3) Retention, antiretroviral therapy prescription, and suppressed viral load. Among 758 evaluated participants, the proportion of participants who were aware of, screened for, screened positive for, and referred to BH and SS, retention in care (72% to 79%), and viral load suppression (68% to 75%) increased between baseline and postintervention. Among participants who screened positive and received BH services were statistically more likely to be linked to [OR, 1.34 (95% CI: 1.08-1.66)] and retained in [OR, 1.36 (95% CI: 1.00-1.83)] care. Among those who screened positive and received SS were statistically more likely to be retained in care [OR, 1.54 (95% CI: 1.07-2.22)]. Measures of linkage to care declined significantly during the study period, perhaps because of COVID-19 that delayed in-person care. This study suggests that interventions designed to increase utilization of BH services and SS can be effective at improving retention in care and viral load suppression among Black MSM, at least among those currently using HIV services.

Model-assisted estimators for time-to-event data from complex surveys.

We develop model-assisted estimators for complex survey data for the proportion of a population that experienced some event by a specified time t. Theory for the new estimators uses time-to-event models as the underlying framework but have both good model-based and design-based properties. The estimators are compared in a simulation to traditional survey estimation methods and are also applied to a study of nurses' health. The new estimators take advantage of covariates predictive of the event and reduce standard errors compared to conventional alternatives.