Predictors of HIV Care Engagement, Antiretroviral Medication Adherence, and Viral Suppression Among People Living with HIV Infection in St. Petersburg, Russia
Abstract:Over 1 million HIV infections have been diagnosed in Russia, and HIV care uptake and viral suppression are very low. 241 HIV-positive individuals in St. Petersburg were enrolled through social networks, provided blood for viral load testing, and completed measures of medication-taking adherence, readiness, and self-efficacy; psychosocial well-being; and substance use. Outcomes included attending an HIV care appointment in the past 6 months, >90% ART adherence, and undetectable viral load. 26% of participants h… Show more
“…Findings specifically support those of earlier studies that identified alcohol use as a risk factor for lower engagement in HIV care, 21–23,27,60 treatment with ART 24,25,27 and viral suppression. 26,27 Moreover, this study newly demonstrated a dose-dependent association between alcohol use and three HIV care continuum outcomes such that PLWH reporting alcohol use at medium, high, and very high levels had progressively lower likelihood of all care continuum outcomes relative to patients who reported non-drinking. Further, in secondary analyses, diagnosis for AUD was associated with lower likelihood of treatment with ART and viral suppression.…”
Section: Discussionsupporting
confidence: 85%
“…However, previous studies offer limited information on the influence of alcohol use on HIV care continuum targets in the U.S. for several reasons. First, most studies have been conducted within samples of PLWH living outside of the U.S. 17,24,25,27 or in recruited samples with limited generalizability. 18,30,31 Second, existing studies do not assess multiple components of the HIV care continuum in a single sample of PLWH, limiting understanding of the effect of alcohol use across care targets.…”
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 < 500 copies/ml) within one year. Among 33,224 patients, alcohol use level was inversely associated with all care continuum outcomes (all p < 0.001). Adjusted prevalence of care engagement ranged from 77.8% (95% CI 77.1-78.4%) for non-drinking to 69.1% (66.6-71.6%) for high-level drinking. The corresponding range for ART treatment was 74.0% (73.3-74.7%) to 60.1% (57.3-62.9%) and for viral suppression was 57.3% (56.5-58.1%) to 38.3% (35.6-41.1%). Greater alcohol use is associated with suboptimal HIV treatment across the HIV care continuum.
“…Findings specifically support those of earlier studies that identified alcohol use as a risk factor for lower engagement in HIV care, 21–23,27,60 treatment with ART 24,25,27 and viral suppression. 26,27 Moreover, this study newly demonstrated a dose-dependent association between alcohol use and three HIV care continuum outcomes such that PLWH reporting alcohol use at medium, high, and very high levels had progressively lower likelihood of all care continuum outcomes relative to patients who reported non-drinking. Further, in secondary analyses, diagnosis for AUD was associated with lower likelihood of treatment with ART and viral suppression.…”
Section: Discussionsupporting
confidence: 85%
“…However, previous studies offer limited information on the influence of alcohol use on HIV care continuum targets in the U.S. for several reasons. First, most studies have been conducted within samples of PLWH living outside of the U.S. 17,24,25,27 or in recruited samples with limited generalizability. 18,30,31 Second, existing studies do not assess multiple components of the HIV care continuum in a single sample of PLWH, limiting understanding of the effect of alcohol use across care targets.…”
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 < 500 copies/ml) within one year. Among 33,224 patients, alcohol use level was inversely associated with all care continuum outcomes (all p < 0.001). Adjusted prevalence of care engagement ranged from 77.8% (95% CI 77.1-78.4%) for non-drinking to 69.1% (66.6-71.6%) for high-level drinking. The corresponding range for ART treatment was 74.0% (73.3-74.7%) to 60.1% (57.3-62.9%) and for viral suppression was 57.3% (56.5-58.1%) to 38.3% (35.6-41.1%). Greater alcohol use is associated with suboptimal HIV treatment across the HIV care continuum.
“…Despite this progress, it seems unlikely that many regions and countries will meet the 2020 target. knowledge of status in previously reported estimates was thought to be high as a result of extensive testing, but linkage to treatment remains a challenge [32,33]. In the Middle East and North Africa, persistently low estimates of knowledge of HIV status and treatment access point to the role of stigma and discrimination in service delivery as possible causes [34,35].…”
Background: In 2014, the Joint United Nations Programme on HIV/AIDS (UNAIDS) and partners set the 90-90-90 target for the year 2020: diagnose 90% of all people living with HIV (PLHIV); treat 90% of people who know their status; and suppress the virus in 90% of people on treatment. In 2015, countries began reporting to UNAIDS on progress against 90-90-90 using standard definitions and methods. Methods: We used data submitted to UNAIDS from 170 countries to assess countryspecific progress towards 90-90-90 through 2018. To assess global and regional progress, overall and by sex for adults aged 15 years and older, we combined country-reported data with estimates generated with a Bayesian hierarchical model. Results: A total of 60 countries reported on all three 90s in 2018, up from 23 in 2015. Among all PLHIV worldwide, 79% (67-92%) knew their HIV status. Of these, 78% (69-82%) were accessing treatment and 86% (72-92%) of people accessing treatment had suppressed viral loads. Of the 37.9 million (32.7-44.0 million) PLHIV worldwide, 53% (43-63%) had suppressed viral loads. The gap to fully achieving 73% of PLHIV with suppressed viral load was 7.7 million; 15 countries had already achieved this target by 2018. Conclusion: Increased data availability has led to improved measures of country and global progress towards the 90-90-90 target. Although gains in access to testing and treatment continue, many countries and regions are unlikely to reach the 90-90-90 target by 2020.
“…Standard presentations of the HIV continuum of care at the national level are likely to mask variations that exist in and between key subpopulations. National descriptions of the continuum of care stratified by key populations have been undertaken in the USA , the UK , Belgium , Canada , Denmark , France , Georgia , Greece and Russia and international comparisons have been carried out . However, no baseline continuum of HIV care data are available for key populations for the whole European and Central Asian region.…”
Few reporting countries can produce the continuum of HIV care for the three key populations. Where data are available, differences exist in outcomes between the general and key populations. While MSM broadly mirror national outcomes (in the West), PWID and migrants experience poorer treatment and viral suppression. Countries must develop continuum measures for key populations to identify and address inequalities.
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