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Continuum of care is a concept that has been widely applied in HIV prevention and treatment studies. However, measuring care continuum can be challenging because it involves multiple stages and multiple components or domains at each stage of care. In this study, we introduced an analytical framework to (1) estimate intervention effects overall and by domain using a multi-level modeling approach, and (2) learn possible patterns of domains over time utilizing a multi-layer heatmap visualization. Longitudinal data from an intervention study conducted among people who use drugs in Vietnam were used to construct Seek, Test, Treat, and Retain (STTR) domain and overall scores. Findings from the adjusted analysis showed that people who use drugs in the intervention exhibited a significantly greater improvement in the overall STTR score than those in the control (p-values < .0001). The multi-layer heatmap revealed different patterns of the individual domains over time and the inter-relationships among the individual domains. This study demonstrates the feasibility of constructing a general fulfillment score and domain specific scores to measure care continuum among people who use drugs. The analytical framework can be readily extended to evaluate service fulfillment outcomes in health services and treatment studies for other key populations.

BackgroundPublic health action combating human immunodeficiency virus (HIV) includes facilitating navigation through the HIV continuum of care: timely diagnosis followed by linkage to care and initiation of antiretroviral therapy to suppress viral replication. Molecular epidemiology can identify rapidly growing HIV genetic transmission clusters. How progression through the care continuum relates to transmission clusters has not been previously characterized.MethodsWe performed a retrospective study on HIV surveillance data from 5226 adult cases in Los Angeles County diagnosed from 2010 through 2014. Genetic transmission clusters were constructed using HIV-TRACE. Cox proportional hazard models were used to estimate the impact of transmission cluster growth on the time intervals between care continuum events. Gamma frailty models incorporated the effect of heterogeneity associated with genetic transmission clusters.ResultsIn contrast to our expectations, there were no differences in time to the care continuum events among individuals in clusters with different growth dynamics. However, upon achieving viral suppression, individuals in high growth clusters were slower to experience viral rebound (hazard ratio 0.83, P = .011) compared with individuals in low growth clusters. Heterogeneity associated with cluster membership in the timing to each event in the care continuum was highly significant (P

ObjectiveTo assess the impact of alcohol use on HIV care cascade outcomes.DesignCross-sectional analyses.MethodsWe evaluated HIV care cascade outcomes and alcohol use in adults (≥15 years) during baseline (2013--2014) population-based HIV testing in 28 Kenyan and Ugandan communities. 'Alcohol use' included any current use and was stratified by Alcohol Use Disorders Identification Test-Concise (AUDIT-C) scores: nonhazardous/low (1--3 men/1--2 women), hazardous/medium (4--5 men/3--5 women), hazardous/high (6--7), hazardous/very-high (8--12). We estimated cascade outcomes and relative risks associated with each drinking level using targeted maximum likelihood estimation, adjusting for confounding and missing measures.ResultsAmong 118 923 adults, 10 268 (9%) tested HIV-positive. Of those, 10 067 (98%) completed alcohol screening: 1626 (16%) reported drinking, representing 7% of women (467/6499) and 33% of men (1 159/3568). Drinking levels were: low (48%), medium (34%), high (11%), very high (7%). Drinkers were less likely to be previously HIV diagnosed (58% [95% CI: 55--61%]) than nondrinkers [66% (95% CI: 65-67%); RR: 0.87 (95% CI: 0.83-0.92)]. If previously diagnosed, drinkers were less likely to be on ART [77% (95% CI: 73-80%)] than nondrinkers [83% (95% CI 82-84%); RR: 0.93 (95% CI: 0.89-0.97)]. If on ART, there was no association between alcohol use and viral suppression; however, very-high-level users were less likely to be suppressed [RR: 0.80 (95% CI: 0.68-0.94)] versus nondrinkers. On a population level, viral suppression was 38% (95% CI: 36-41%) among drinkers and 44% (95% CI: 43-45%) among nondrinkers [RR: 0.87 (95% CI 0.82-0.94)], an association seen at all drinking levels.ConclusionAlcohol use was associated with lower viral suppression; this may be because of decreased HIV diagnosis and ART use.

We evaluated associations between levels of alcohol use and HIV care continuum components using national Veterans Aging Cohort Study data for all patients with HIV and AUDIT-C screening (2/1/2008-9/30/2014). Poisson regression models evaluated associations between alcohol use levels (non-drinking, low-, medium-, high-, and very high-level drinking) and: (1) engagement with care (documented CD4 cells/µl or viral load copies/ml labs), (2) ART treatment (≥ 1 prescription), and (3) viral suppression (HIV RNA

This study assesses effects of a community-based intervention across seven sites in the United States on HIV care utilization and study retention, among people living with HIV (PLWH). A two-armed study was conducted from 2013 to 2016 in each of seven community-based agencies across the United States. Each site conducted interventions involving community engagement approaches in the form of case management or patient navigation. Control conditions were standard of care involving referral to HIV clinical care. Participants (N = 583) were adults reporting erratic or no HIV care in the past 6 months. Longitudinal survey data on demographics, behavioral risks, and HIV care were collected from participants at baseline, before service delivery, and at 6-month follow-up. Unadjusted and adjusted generalized linear mixed models were used to assess the intervention effects on HIV care utilization and study retention. Participants were majority black (75.5%), cisgender male (55.1%), and heterosexual (55.4%). No significant intervention effect was observed on HIV care utilization, although both groups improved significantly over time [adjusted odds ratio (AOR): 2.09, 95% confidence interval (CI): 1.30-3.37]. Intervention participants were more likely to be retained in the study (AOR: 1.50, 95% CI: 1.03-2.20). Community intervention did not affect HIV care utilization more than standard of care, but intervention participants were more likely to be retained in the study, suggesting that such approaches support relationship building in ways that can facilitate follow-up of socially vulnerable PLWH. More research is needed to understand how such community efforts can support better HIV care utilization in these populations.

BackgroundPersons living with HIV and unhealthy substance use are often less engaged in HIV care, have higher morbidity and mortality and are at increased risk of transmitting HIV to uninfected partners. We developed a quality-improvement tracking system at an urban methadone clinic to monitor patients along the HIV care continuum and identify patients needing intervention.ObjectiveTo evaluate patient outcomes along the HIV Care Continuum at an urban methadone clinic and explore the relationship of HIV primary care site and patient demographic characteristics with retention in HIV treatment and viral suppression.MethodsWe reviewed electronic medical record data from 2015 for all methadone clinic patients with known HIV disease, including age, gender, race, HIV care sites, HIV care visit dates and HIV viral load. Patients received either HIV primary care at the methadone clinic, an HIV specialty clinic located in the adjacent building, or a community clinic. Retention was defined as an HIV primary care visit in both halves of the year. Viral suppression was defined as an HIV viral load

BackgroundPersons living with HIV and unhealthy substance use are often less engaged in HIV care, have higher morbidity and mortality and are at increased risk of transmitting HIV to uninfected partners. We developed a quality-improvement tracking system at an urban methadone clinic to monitor patients along the HIV care continuum and identify patients needing intervention.ObjectiveTo evaluate patient outcomes along the HIV Care Continuum at an urban methadone clinic and explore the relationship of HIV primary care site and patient demographic characteristics with retention in HIV treatment and viral suppression.MethodsWe reviewed electronic medical record data from 2015 for all methadone clinic patients with known HIV disease, including age, gender, race, HIV care sites, HIV care visit dates and HIV viral load. Patients received either HIV primary care at the methadone clinic, an HIV specialty clinic located in the adjacent building, or a community clinic. Retention was defined as an HIV primary care visit in both halves of the year. Viral suppression was defined as an HIV viral load

In this article, we describe a process of the San Francisco collaboration to select optimal measures of linkage to care in response to the Enhanced Comprehensive HIV Prevention Planning program of the Centers for Disease Control and Prevention and to understand the implications of measure selection and the challenges of accessing data sources to measure outcomes along the HIV care continuum. Challenges identified are the variety of definitions of linkage to care and the nonintegrative nature of the multiple data systems necessary to measure linkage to care and other continuum outcomes. The choice of linkage measures, which at the extremes is a choice between higher-resolution measures based on clinical visit data in a subset of patients vs. a lower-resolution proxy measure based on surveillance data, has key implications. Choosing between the options needs to be informed by the primary use of the measure. For representing trends in the overall performance and response to interventions, more generalizable measures based on surveillance data are optimal. For identifying barriers to linkage to care for specific populations and potential intervention targets within the linkage process, higher-resolution measures of linkage that include clinical, laboratory, and social work visit information are optimal. Cataloging the different data systems along the continuum and observations of challenges of data sharing between the systems highlighted the promise of integrated data management systems that span HIV surveillance and care systems. Such integrated data management systems would have the ability to support detailed investigation and would provide simplified data to match newly developed, cross-agency Health and Human Service measures of HIV care continuum outcomes.