Differences in Selected HIV Care Continuum Outcomes Among People Residing in Rural, Urban, and Metropolitan Areas-28 US Jurisdictions

The Association Between Back Pain, Depression, and Quality of Life Among Older Adults Living with HIV in Rural Areas of the United States

INTRODUCTION

This study aimed to assess prevalence of back pain among older people living with HIV (PLH) in rural areas of the United States (US); compare the presence of comorbidities, socioeconomic factors, and sociodemographic factors among older PLH in rural areas of the US with and without back pain; and examine the associations between back pain, depression, and QOL among older PLH in rural areas of the US.

METHODS

Cross-sectional data was collected among US rural dwelling PLH of at least 50 years of age. Multiple logistic regression was performed to examine the association between back pain and depression. Multiple linear regression was performed to assess the association between back pain and QOL.

RESULTS

A total of 38.8% (n = 164) of participants self-reported back pain. PLH with back pain were more likely to have depression (60.87%, n = 98). PLH with back pain had lower mean QOL scores (53.01 ± 18.39). Back pain was associated with greater odds of having depression (OR 1.61 [CI 0.99-2.61], p = .054) and was significantly associated with lower QOL (p < .001).

CONCLUSIONS

Prevention strategies to reduce back pain and poor HIV outcomes among PLH living in rural areas of the US are needed.

Progress in Early Detection of HIV in Tajikistan

HIV early detection (CD4 counts ≥350 cells/μL) is correlated with higher life expectancy among people living with HIV (PLHIV). Several factors, including physical, cultural, structural, and financial barriers, may limit early detection of HIV. This is a first-of-its-kind study on population-level differences in early detection of HIV across time within Tajikistan and any country in the Central Asia region. Utilizing the Tajikistan Ministry of Health's national HIV data (N = 10,700) spanning 2010 to 2023, we developed median regression models with the median CD4 cell count as the outcome and with the following predictors: time (years), region, age, gender, and area (urban/rural status). Individuals younger than 19 years old were detected early for HIV, whereas those older than 39 years were detected late. Females were detected earlier compared to their male counterparts regardless of region of residence. Rural populations were detected earlier in most years compared to their urban counterparts. The COVID-19 pandemic accelerated HIV early detection in 2021 but most regions have returned to near pre-pandemic levels of detection in 2022 and 2023. There were differences identified among different demographic and geographic groups which warrant further attention.

Population Density and Health Outcomes in Women with HIV in the Southern United States: A Retrospective Longitudinal Analysis

Purpose: Published studies have revealed challenges for people with human immunodeficiency virus (HIV) living in rural areas compared to those in urban areas, such as poor access to HIV care, insufficient transportation, and isolation. The purpose of this study was to examine associations between population density and multiple psychosocial and clinical outcomes in the largest cohort of women with HIV (WWH) in the United States. Methods: Women's Interagency HIV Study (WIHS) participants from Southern sites (n = 561) in 2013-2018 were categorized and compared by population density quartiles. The most urban quartile was compared with the most rural quartile in several psychosocial and clinical variables, including HIV viral load suppression, HIV medication adherence, HIV care attendance, depression, internalized HIV stigma, and perceived discrimination in healthcare settings. Results: Although women in the lowest density quartile were unexpectedly more highly resourced, women in that quartile had greater odds of not attending an HIV care visit in the last six months (odds ratio [OR] = 0.64, 95% confidence interval [CI] [0.43-0.95]), yet higher odds for having fully suppressed HIV when compared to women in the highest density quartile (OR = 1.64, 95% CI [1.13-2.38]). Highly urban WWH had greater likelihood of unsuppressed HIV, even after controlling for income, employment, and health insurance, despite reporting greater HIV care adherence and similar medication adherence. Discussion: Further investigation into the reasons for these disparities by population density is needed, and particular clinical attention should be focused on individuals from high population density areas to help maximize their health outcomes.

Perspectives Among Health Care Providers and People with HIV on the Implementation of Long-Acting Injectable Cabotegravir/Rilpivirine for Antiretroviral Therapy in Florida

Long-acting injectable (LAI) cabotegravir/rilpivirine (CAB/RPV) for antiretroviral therapy (ART) could benefit many people with HIV (PWH). However, its impact will largely be determined by providers' willingness to prescribe it and PWH's willingness to take it. This study explores the perceived barriers and facilitators of LAI CAB/RPV implementation among PWH and HIV care providers in Florida, a high prevalence setting. Semi-structured qualitative interviews were conducted in English with 16 PWH (50% non-Hispanic White, 50% cis men, and 94% on oral ART) and 11 providers (27% non-Hispanic Black, 27% Hispanic, 73% cis women, and 64% prescribed LAI CAB/RPV) throughout the state. Recruitment occurred between October 2022 and October 2023 from HIV clinics. Interviews were recorded, professionally transcribed, and then double coded using thematic analysis. The Consolidated Framework for Implementation Research guided the interview guide and coding. While PWH viewed LAI CAB/RPV as effective, predominant barriers included administration via injection, challenges of attending more clinic visits, and a feeling that this made HIV the center of one's life. Providers additionally expressed concerns about the development of integrase resistance. Barriers noted by PWH and providers outside of the clinic included transportation, stigma, access inequities, and payor issues. Within clinics, providers identified the need for extra staffing and the increased burden on existing staff as barriers. These barriers decreased the perceived need for LAI CAB/RPV among PWH and providers, especially with the high effectiveness of oral ART. Many of the identified barriers occur outside of the clinic and will likely apply to other novel long-acting ART options.

Acceptability, Feasibility, and Preliminary Impact of 4 Remotely-Delivered Interventions for Rural Older Adults Living with HIV

People living with HIV (PLH) who live in rural areas of the United States (US) face more challenges to obtaining medical care and suffer higher mortality rates compared to non-rural PLH. Compared with younger PLH, older PLH (age 50+) also face additional challenges to maintaining their health and wellbeing. Despite the heightened barriers to receiving care and remaining adherent to treatment among older rural PLH, few interventions to increase viral suppression and improve quality of life exist for this population. We pilot-tested four remotely-delivered interventions-group-based social support, group-based stigma-reduction, individual strengths-based case management, and individual technology detailing-aimed to improve care engagement and quality of life in rural older PLH in the southern US. Participants (N = 61, Mage = 58, 75% male) completed surveys and self-collected blood specimens at baseline and 3 months; in between, they were randomized to 0-4 interventions. We assessed feasibility, acceptability, and preliminary impact on medication adherence, viral suppression, quality of life, depressive symptoms, and hypothesized mediating mechanisms. More than 80% participated in assigned intervention(s), and 84% completed the study. Interventions were highly acceptable to participants, with more than 80% reporting they would recommend interventions to peers. More than 80% found the social support and case management interventions to be relevant and enjoyable. We found promising preliminary impact of interventions on quality of life, medication adherence, depressive symptoms, internalized stigma, and loneliness. Remotely-delivered interventions targeting rural older PLH are feasible to conduct and acceptable to participants. Larger scale study of these interventions is warranted.

A Census Tract-Level Examination of Diagnosed HIV Infection and Social Vulnerability Themes Among Black/African American, Hispanic/Latino, and White Adults, 2019-USA

BACKGROUND

Assessing HIV diagnosis and the social vulnerability index (SVI) by themes (socioeconomic status, household composition and disability, minority status and English proficiency, and housing type and transportation) might help to identify specific social factors contributing to disparities across census tracts with high rates of diagnosed HIV infection in the USA.

METHODS

We examined HIV rate ratios in 2019 using data from CDC's National HIV Surveillance System (NHSS) for Black/African American, Hispanic/Latino, and White persons aged ≥ 18 years. NHSS data were linked to CDC/ATSDR SVI data to compare census tracts with the lowest SVI (Q1) and highest SVI (Q4) scores. Rates and rate ratios were calculated for 4 SVI themes by sex assigned at birth for age group, transmission category, and region of residence.

RESULTS

In the socioeconomic theme analysis, we observed wide within-group disparity among White females with diagnosed HIV infection. In the household composition and disability theme, we observed high HIV diagnosis rates among Hispanic/Latino and White males who lived in the least socially vulnerable census tracts. In the minority status and English proficiency theme, we observed a high percentage of Hispanic/Latino adults with diagnosed HIV infection in the most socially vulnerable census tracts. In the housing type and transportation theme, we observed a high percentage of HIV diagnoses attributed to injection drug use in the most socially vulnerable census tracts.

CONCLUSION

The development and prioritization of interventions that address specific social factors contributing to disparities in HIV across census tracts with high diagnosis rates are critical to reducing new HIV infections in the USA.

Urban-rural disparities in geographic accessibility to care for people living with HIV

In the United States, people living with HIV (PLWH) in rural areas fare worse along the HIV care continuum than their urban counterparts; this may be due in part to limited geographic access to care. We estimated drive time to care for PLWH, focusing on urban-rural differences. Adult Medicaid enrollees living with HIV and their usual care clinicians were identified using administrative claims data from 14 states (Medicaid Analytic eXtract, 2009-2012). We used geographic network analysis to calculate one-way drive time from the enrollee's ZIP code tabulation area centroid to their clinician's practice address, then examined urban-rural differences using bivariate statistics. Additional analyses included altering the definition of rurality; examining subsamples based on the state of residence, services received, and clinician specialty; and adjusting for individual and county characteristics. Across n = 49,596 PLWH, median drive time to care was 12.8 min (interquartile range 26.3). Median drive time for rural enrollees (43.6 (82.0)) was nearly four times longer than for urban enrollees (11.9 (20.6) minutes, p < 0.0001), and drive times exceeded one hour for 38% of rural enrollees (versus 12% of urban, p < 0.0001). Urban-rural disparities remained in all additional analyses. Sustained efforts to circumvent limited geographic access to care are critical for rural areas.

Analysis on epidemiological characters and HIV care continuum of HIV-infected students: a retrospective cohort study in Shandong province, China

BACKGROUD

The proportion of HIV-infected students in China showed an increasing trend. This study aimed to identify the epidemiological characteristics and the HIV care continuum for HIV-infected students in Shandong Province, China.

METHODS

Case report and follow-up data of HIV-infected students were obtained from the National HIV/AIDS comprehensive response information management system. Logistic regression analyses were used to analyze the associating factors of HIV-infected students accepting CD4 + T cells (CD4) test and antiviral therapy (ART) in 30 days, and ArcGIS software was used for the spatial anlysis.

RESULTS

From 2017 to 2019, 403 HIV-infected students were reported in Shandong Province. The majority of them were male (99.5%) and transmitted through homosexual sexual activity(92.1%). Most of them lived in Jinan city and Qingdao city. 68.5% (276 cases) accepted CD4 test in 30 days, and 48.6% (196 cases) started ART in 30 days. The heterosexual transmitted cases (AOR = 0.458, 95%CI: 0.210-0.998), patients accepting HIV care in western area (AOR = 0.266,95%CI: 0.147-0.481) were less likely to test CD4 within 30 days; patients aged 23-25 (AOR = 2.316, 95%CI: 1.009-5.316) and patients who had tested CD4 within 30 days (AOR = 4.377; 95%CI: 2.572-7.447) prefered to receive ART within 30 days; patients accepted HIV care in central area (AOR = 0.407; 95%CI: 0.251-0.657) and western area (AOR = 0.508; 95%CI: 0.261-0.989) and patients diagnosed by voluntary blood donation (AOR = 0.352; 95%CI: 0.144-0.864) were less willing to receive ART in 30 days.

CONCLUSIONS

The HIV care continuum of HIV-infected students in Shandong Province still needed strenghthing. More health education and case management should be done for cases transmitted through heterosexual behavior, accepted HIV care in central and western area, and diagnosed by voluntary blood donation.

Extreme weather events and HIV: development of a conceptual framework through qualitative interviews with people with HIV impacted by the California wildfires and their clinicians

BACKGROUND

People with HIV (PWH) are disproportionately vulnerable to the impacts of wildfires, given the need for frequent access to healthcare systems, higher burden of comorbidities, higher food insecurity, mental and behavioral health challenges, and challenges of living with HIV in a rural area. In this study, we aim to better understand the pathways through which wildfires impact health outcomes among PWH.

METHODS

From October 2021 through February 2022, we conducted individual semi-structured qualitative interviews with PWH impacted by the Northern California wildfires and clinicians of PWH who were impacted by wildfires. The study aims were to explore the influence of wildfires on the health of PWH and to discuss measures at the individual, clinic, and system levels that helped to mitigate these impacts.

RESULTS

We interviewed 15 PWH and 7 clinicians. While some PWH felt that surviving the HIV epidemic added to their resilience against wildfires, many felt that the wildfires compounded the HIV-related traumas that they have experienced. Participants outlined five main routes by which wildfires negatively impacted their health: (1) access to healthcare (medications, clinics, clinic staff), (2) mental health (trauma; anxiety, depression, or stress; sleep disturbances; coping strategies), (3) physical health (cardiopulmonary, other co-morbidities), (4) social/economic impacts (housing, finances, community), and (5) nutrition and exercise. The recommendations for future wildfire preparedness were at the (1) individual-level (what to have during evacuation), (2) pharmacy-level (procedural, staffing), and (3) clinic- or county-level (funds and vouchers; case management; mental health services; emergency response planning; other services such as telehealth, home visits, home laboratory testing).

CONCLUSIONS

Based on our data and prior research, we devised a conceptual framework that acknowledges the impact of wildfires at the community-, household-, and individual-level with implications for physical and mental health outcomes among PWH. These findings and framework can help in developing future interventions, programs, and policies to mitigate the cumulative impacts of extreme weather events on the health of PWH, particularly among individuals living in rural areas. Further studies are needed to examine health system strengthening strategies, innovative methods to improve access to healthcare, and community resilience through disaster preparedness.

TRIAL REGISTRATION

N/A.

Factors associated with lack of care engagement among older, rural-dwelling adults living with HIV in the United States

PURPOSE

Most people living with HIV (PLH) in the United States are over age 50 and this sector of PLH continues to grow. Aging with HIV can be challenging due to comorbid medical conditions, mental health disorders, substance use, and lack of social and practical support. Additional challenges are faced by older PLH living in the rural United States, such as longer distances to health care, concerns over privacy and stigma, and social isolation. PLH in rural areas have higher mortality rates than urban PLH. We aimed to understand factors associated with HIV care engagement and quality of life in rural US adults over age 50.

METHODS

We conducted a cross-sectional study to evaluate the association between patient-level factors and a combined outcome variable encompassing multiple aspects of care engagement.

FINDINGS

Either online or on paper, 446 participants completed our survey. One-third of the participants (33%) were from the southern United States; one-third were women; one-third were non-White; and 24% completed the survey on paper. In multiple regression analysis, lower income, residing in the southern United States, lacking internet access at home, not having an HIV specialist provider, higher levels of stress, living alone, and longer distance to an HIV provider were all associated with lower engagement in HIV care.

CONCLUSIONS

Our findings demonstrated multiple potential options for interventions that could improve care engagement, such as providing and enhancing access to technology for health care engagement and remotely delivering social support and mental health services. Research on such potential interventions is needed for older, rural PLH.

Factors associated with quality of life, depressive symptoms, and perceived stress among rural older adults living with HIV in the United States

PURPOSE

Rural older people living with HIV (PLH) in the United States are a population of growing size and significance. A better understanding of factors associated with quality of life (QOL), depressive symptoms, and stress in this population-especially modifiable factors-could inform future interventions.

METHODS

Online or on paper, we surveyed 446 PLH aged 50+ residing in rural counties across the United States (Mage = 56, 67% male, 67% White, and 23% Black). Associations between social support, HIV stigma, satisfaction with medical care, discrimination in health care settings, and structural barriers and health-related QOL, depressive symptoms, and perceived stress were assessed using multiple linear regressions.

FINDINGS

Controlling for demographics, greater social support was associated with better QOL, fewer depressive symptoms, and less stress. Greater HIV stigma was associated with more depressive symptoms and stress. Satisfaction with care was associated with better QOL and less stress. Discrimination in medical settings was associated with lower QOL and more depressive symptoms and stress. Finally, experiencing more structural barriers was associated with lower QOL and more depressive symptoms and stress.

CONCLUSIONS

In addition to engagement in care and viral suppression, QOL and mental health are also critical considerations for rural older PLH. Increasing social support, reducing or providing skills to cope with HIV stigma, improving quality of care, reducing discrimination and stigma in medical settings, and reducing or mitigating the impact of structural barriers present potential targets for interventions aiming to improve the well-being of older rural PLH.

Telehealth-guided provider-to-provider communication to improve rural health: A systematic review

INTRODUCTION

Telehealth may address healthcare disparities for rural populations. This systematic review assesses the use, effectiveness, and implementation of telehealth-supported provider-to-provider collaboration to improve rural healthcare.

METHODS

We searched Ovid MEDLINE®, CINAHL®, EMBASE, and Cochrane CENTRAL from 1 January 2010 to 12 October 2021 for trials and observational studies of rural provider-to-provider telehealth. Abstracts and full text were dual-reviewed. We assessed the risk of bias for individual studies and strength of evidence for studies with similar outcomes.

RESULTS

Seven studies of rural uptake of provider-to-provider telehealth documented increases over time but variability across geographic regions. In 97 effectiveness studies, outcomes were similar with rural provider-to-provider telehealth versus without for inpatient consultations, neonatal care, outpatient depression and diabetes, and emergency care. Better or similar results were reported for changes in rural clinician behavior, knowledge, confidence, and self-efficacy. Evidence was insufficient for other clinical uses and outcomes. Sixty-seven (67) evaluation and qualitative studies identified barriers and facilitators to implementing rural provider-to-provider telehealth. Success was linked to well-functioning technology, sufficient resources, and adequate payment. Barriers included lack of understanding of rural context and resources. Methodologic weaknesses of studies included less rigorous study designs and small samples.

DISCUSSION

Rural provider-to-provider telehealth produces similar or better results versus care without telehealth. Barriers to rural provider-to-provider telehealth implementation are common to practice change but include some specific to rural adaptation and adoption. Evidence gaps are partially due to studies that do not address differences in the groups compared or do not include sufficient sample sizes.

Challenges to meeting the HIV care needs of older adults in the rural South

People living with HIV in rural parts of the Southern United States face poor outcomes along the HIV care continuum. Additionally, over half of people with diagnosed HIV are age 50 and older. Older adults living with HIV in the rural South often have complex health and social needs associated with HIV, aging, and the rural environment. Research is needed to understand what support organizations and clinics need in providing care to this population. This qualitative study examines the challenges health and social service providers face in caring for older patients living with HIV. In 2020-2021, we interviewed 27 key informants who work in organizations that provide care to older adults with HIV in the seven states with high rural HIV burden: Alabama, Arkansas, Kentucky, Mississippi, Missouri, Oklahoma, and South Carolina. Our findings highlight how racism and poverty; culture, politics, and religion; and a lack of healthcare infrastructure collectively shape access to HIV care for older adults in the South. Rural health and social service providers need structural-level changes to improve their care and services.

Magnitude of Viral Load Suppression and Associated Factors among Clients on Antiretroviral Therapy in Public Hospitals of Hawassa City Administration, Ethiopia

BACKGROUND

A majority of clients on first-line antiretroviral therapy with an initial high viral load will resuppress following an adherence intervention. Some sociodemographic and clinical characteristics were found to affect resuppression. Few reports on the outcome of the intervention and its associated factors in our country, with inconsistent results and some missed clinical factors of potential association, have compelled this study. The study aimed to assess the proportion of viral load suppression and associated factors among clients on antiretroviral therapy in public hospitals of Hawassa City Administration, Ethiopia.

METHODS

An institution-based cross-sectional study with retrospective document review was conducted among 342 participants on antiretroviral therapy enrolled for counseling since its start in November 2016. Data were captured using a pretested and structured checklist from all client charts with complete data, entered into EpiData 3.1.0 and exported to SPSS 27 for analysis. The proportion of viral load suppression was determined. Bivariate and multivariate logistic regressions were performed to identify associated factors. Statistical significance was determined at a 95% CI and P<0.05.

RESULTS

The proportion of viral load suppression was found to be 40.9% (35.7%-46.5%). Nevirapine-based antiretroviral treatment regimens (AOR 0.125, 95% CI 0.034-0.464), malnutrition (AOR 0.565, 95% CI 0.329-0.971), poor adherence (AOR 0.504, 95% CI 0.287-0.886), lower CD4 count (AOR 0.149, 95% CI 0.071, 0.314), and fewer counseling sessions (AOR 0.330, 95% CI 0.149-0.729) were significantly associated with viral load suppression.

CONCLUSION

The proportion of viral load suppression is lower than that recommended by the World Health Organization. Nevirapine-based regimens, poor nutritional status, poor adherence, lower CD4 count, and fewer counseling sessions risk a lower proportion of viral load suppression. This calls for the need to devise strategies to address these factors and to revisit program implementation.

Linkage to HIV Medical Care and Social Determinants of Health Among Adults With Diagnosed HIV Infection in 41 States and the District of Columbia, 2017

OBJECTIVES

To reduce the number of new HIV infections and improve HIV health care outcomes, the social conditions in which people live and work should be assessed. The objective of this study was to describe linkage to HIV medical care by selected demographic characteristics and social determinants of health (SDH) among US adults with HIV at the county level.

METHODS

We used National HIV Surveillance System data from 42 US jurisdictions and data from the American Community Survey to describe differences in linkage to HIV medical care among adults aged ≥18 with HIV infection diagnosed in 2017. We categorized SDH variables into higher or lower levels of poverty (where <13% or ≥13% of the population lived below the federal poverty level), education (where <13% or ≥13% of the population had

RESULTS

Of 33 204 adults with HIV infection diagnosed in 2017, 78.4% were linked to HIV medical care ≤1 month after diagnosis. Overall, rates of linkage to care were significantly lower among men and women living in counties with higher versus lower poverty (PR = 0.96; 95% CI, 0.94-0.97), with lower versus higher health insurance coverage (PR = 0.93; 95% CI, 0.92-0.94), and with lower versus higher education levels (PR = 0.97; 95% CI, 0.96-0.98).

CONCLUSIONS

Increasing health insurance coverage and addressing economic and educational disparities would likely lead to better HIV care outcomes in these areas.

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Key Words

• HIV health care outcomes
• health disparity
• human immunodeficiency virus
• linkage to HIV medical care
• social determinants of health

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MESH Headings

• Adult
• District of Columbia
• Female
• HIV Infections/diagnosis
• HIV Infections/epidemiology
• HIV Infections/therapy
• Humans
• Insurance, Health
• Male
• Poverty
• Social Determinants of Health
• United States/epidemiology

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Affiliation(s)

Myrline Gillot Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA
Zanetta Gant Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
Xiaohong Hu Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
Anna Satcher Johnson Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA

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Direct and Indirect Effects of a Project ECHO Longitudinal Clinical Tele-Mentoring Program on Viral Suppression for Persons With HIV: A Population-Based Analysis

BACKGROUND

Project Extension for Community Health Outcomes (ECHO) aims to connect community providers to academic specialists, deliver longitudinal clinical mentorship and case consultations, plus encourage dissemination of knowledge and resources. The impact on outcomes for persons with HIV (PWH) is uncertain.

SETTING

PWH in Washington and Oregon outside of the Seattle and Portland metro areas, January 2011 to March 2018.

METHODS

Using viral load (VL) surveillance data, we assessed difference in the percentage of PWH who were virally suppressed among PWH whose providers participated versus did not participate in Project ECHO. Analyses included multiple mixed-effects regression models, adjusting for time and for patient, provider, and clinic characteristics.

RESULTS

Based on 65,623 VL results, Project ECHO participation was associated with an increase in the percentage of patients with VL suppression (13.7 percentage points greater; P < 0.0001), although the effect varied by estimated provider PWH patient volume. The difference was 14.7 percentage points ( P < 0.0001) among patients of providers who order <20 VL's/quarter and 2.3 and -0.6 percentage points among patients of providers who order 20-40 or >40 VL's/quarter, respectively ( P > 0.5). The magnitude of difference in VL suppression was associated with the number of sessions attended. Among patients of lower-volume providers who did not participate, VL suppression was 6.2 percentage points higher if providers worked in a clinic where another provider did participate ( P < 0.0001).

CONCLUSION

Project ECHO is associated with improvement in VL suppression for PWH whose providers participate or work in the same clinic system as a provider who participates, primarily because of benefits for patients of lower-volume providers.

Trends in HIV Care Outcomes Among Adults and Adolescents-33 Jurisdictions, United States, 2014-2018

BACKGROUND

With significant improvements in the diagnosis and treatment of HIV, the number of people with HIV in the United States steadily increases. Monitoring trends in HIV-related care outcomes is needed to inform programs aimed at reducing new HIV infections in the United States.

SETTING

The setting is 33 United States jurisdictions that had mandatory and complete reporting of all levels of CD4 and viral load test results for each year during 2014-2018.

METHODS

Estimated annual percentage change and 95% confidence intervals were calculated to assess trends in stage of disease at time of diagnosis, linkage to HIV medical care within 1 month of HIV diagnosis, and viral suppression within 6 months after HIV diagnosis. Differences in percentages were analyzed by sex, age, race/ethnicity, and transmission category for persons with HIV diagnosed from 2014 to 2018.

RESULTS

Among 133,477 persons with HIV diagnosed during 2014-2018, the percentage of persons who received a diagnosis classified as stage 0 increased 13.7%, stages 1-2 (early infections) increased 2.9%, stage 3 (AIDS) declined 1.5%, linkage to HIV medical care within 1 month of HIV diagnosis increased 2.3%, and viral suppression within 6 months after HIV diagnosis increased 6.5% per year, on average. Subpopulations and areas that showed the least progress were persons aged 45-54 years, American Indian/Alaska Native persons, Asian persons, Native Hawaiian/other Pacific Islander persons, and rural areas with substantial HIV prevalence, respectively.

CONCLUSIONS

New infections will continue to occur unless improvements are made in implementing the Ending the HIV Epidemic: A Plan for America strategies of diagnosing, treating, and preventing HIV infection.

Measuring Unmet Needs among Persons Living with HIV at Different Stages of the Care Continuum

Unmet needs can impede optimal care engagement, impacting the health and well-being of people living with HIV (PLWH); yet, whether unmet needs differ by care engagement status is not well understood. Using surveys and qualitative interviews, we examined and compared unmet needs for PLWH (n = 172) at different levels of care engagement. Unmet needs varied only slightly by care status. Survey findings revealed that provision of housing, emergency financial assistance, employment assistance, and food security were the greatest unmet need; for those in care, housing was the greatest unmet need, whereas for those sporadically in care or out of care, employment assistance was the greatest unmet needs. Qualitative interviews likewise illustrated that a lack of financial resources including insurance, housing, employment, and transportation presented barriers to care engagement across all care groups. Our findings indicate that unmet needs among PLWH are complex and multi-faceted across care engagement status.

Human Immunodeficiency Virus-Experienced Clinician Workforce Capacity: Urban-Rural Disparities in the Southern United States

BACKGROUND

Human immunodeficiency virus (HIV)-experienced clinicians are critical for positive outcomes along the HIV care continuum. However, access to HIV-experienced clinicians may be limited, particularly in nonmetropolitan areas, where HIV is increasing. We examined HIV clinician workforce capacity, focusing on HIV experience and urban-rural differences, in the Southern United States.

METHODS

We used Medicaid claims and clinician characteristics (Medicaid Analytic eXtract [MAX] and MAX Provider Characteristics, 2009-2011), county-level rurality (National Center for Health Statistics, 2013), and diagnosed HIV cases (AIDSVu, 2014) to assess HIV clinician capacity in 14 states. We assumed that clinicians accepting Medicaid approximated the region's HIV workforce, since three-quarters of clinicians accept Medicaid insurance. HIV-experienced clinicians were defined as those providing care to ≥ 10 Medicaid enrollees over 3 years. We assessed HIV workforce capacity with county-level clinician-to-population ratios, using Wilcoxon-Mann-Whitney tests to compare urban-rural differences.

RESULTS

We identified 5012 clinicians providing routine HIV management, of whom 28% were HIV-experienced. HIV-experienced clinicians were more likely to specialize in infectious diseases (48% vs 6%, P < .001) and practice in urban areas (96% vs 83%, P < .001) compared to non-HIV-experienced clinicians. The median clinician-to-population ratio for all HIV clinicians was 13.3 (interquartile range, 38.0), with no significant urban-rural differences. When considering HIV experience, 81% of counties had no HIV-experienced clinicians, and rural counties generally had fewer HIV-experienced clinicians per 1000 diagnosed HIV cases (P < .001).

CONCLUSIONS

Significant urban-rural disparities exist in HIV-experienced workforce capacity for communities in the Southern United States. Policies to improve equity in access to HIV-experienced clinical care for both urban and rural communities are urgently needed.

Application of machine-learning techniques in classification of HIV medical care status for people living with HIV in South Carolina

OBJECTIVES

Ending the HIV epidemic requires innovative use of data for intelligent decision-making from surveillance through treatment. This study sought to examine the usefulness of using linked integrated PLWH health data to predict PLWH's future HIV care status and compare the performance of machine-learning methods for predicting future HIV care status for SC PLWH.

DESIGN

We employed supervised machine learning for its ability to predict PLWH's future care status by synthesizing and learning from PLWH's existing health data. This method is appropriate for the nature of integrated PLWH data because of its high volume and dimensionality.

METHODS

A data set of 8888 distinct PLWH's health records were retrieved from an integrated PLWH data repository. We experimented and scored seven representative machine-learning models including Bayesian Network, Automated Neural Network, Support Vector Machine, Logistic Regression, LASSO, Decision Trees and Random Forest to best predict PLWH's care status. We further identified principal factors that can predict the retention-in-care based on the champion model.

RESULTS

Bayesian Network (F = 0.87, AUC = 0.94, precision = 0.87, recall = 0.86) was the best predictive model, followed by Random Forest (F = 0.78, AUC = 0.81, precision = 0.72, recall = 0.85), Decision Tree (F = 0.76, AUC = 0.75, precision = 0.70, recall = 0.82) and Neural Network (cluster) (F = 0.75, AUC = 0.71, precision = 0.69, recall = 0.81).

CONCLUSION

These algorithmic applications of Bayesian Networks and other machine-learning algorithms hold promise for predicting future HIV care status at the individual level. Prediction of future care patterns for SC PLWH can help optimize health service resources for effective interventions. Predictions can also help improve retention across the HIV continuum.

Development and Validation of a Multivariable Prediction Model for Missed HIV Health Care Provider Visits in a Large US Clinical Cohort

Background

Identifying individuals at high risk of missing HIV care provider visits could support proactive intervention. Previous prediction models for missed visits have not incorporated data beyond the individual level.

Methods

We developed prediction models for missed visits among people with HIV (PWH) with ≥1 follow-up visit in the Center for AIDS Research Network of Integrated Clinical Systems from 2010 to 2016. Individual-level (medical record data and patient-reported outcomes), community-level (American Community Survey), HIV care site–level (standardized clinic leadership survey), and structural-level (HIV criminalization laws, Medicaid expansion, and state AIDS Drug Assistance Program budget) predictors were included. Models were developed using random forests with 10-fold cross-validation; candidate models with the highest area under the curve (AUC) were identified.

Results

Data from 382 432 visits among 20 807 PWH followed for a median of 3.8 years were included; the median age was 44 years, 81% were male, 37% were Black, 15% reported injection drug use, and 57% reported male-to-male sexual contact. The highest AUC was 0.76, and the strongest predictors were at the individual level (prior visit adherence, age, CD4+ count) and community level (proportion living in poverty, unemployed, and of Black race). A simplified model, including readily accessible variables available in a web-based calculator, had a slightly lower AUC of .700.

Conclusions

Prediction models validated using multilevel data had a similar AUC to previous models developed using only individual-level data. The strongest predictors were individual-level variables, particularly prior visit adherence, though community-level variables were also predictive. Absent additional data, PWH with previous missed visits should be prioritized by interventions to improve visit adherence.

PrEP awareness among people living with HIV in Florida: Florida Cohort study

In 2017, Florida ranked 2nd nationally in prevalence and incidence rates of HIV infections in the United States. Due to the high burden of HIV and low viral suppression in Florida, it is of increased importance to study methods of HIV prevention such as preexposure prophylaxis(PrEP) in this state. Our study aimed to examine correlates of PrEP awareness among PLWH in Florida and describe patterns of PrEP awareness/information sources. Using data collected from the Florida Cohort study between 2014 and 2018, 530 PLWH answered items that were hypothesized to be correlated with PrEP awareness. Of our sample, 53.8% were aware of PrEP. Urban location of recruitment, sexual partner's use of PrEP, use of viral suppression as an HIV prevention strategy, and engagement in transactional sex were all significantly associated with higher odds of PrEP awareness. Care providers and HIV/AIDS support groups were the most frequently listed sources of PrEP awareness, sources of future PrEP information, and most trusted sources for PrEP information. Findings from this study could inform future interventions that aim to increase PrEP awareness among PLWH to increase PrEP awareness and uptake among their HIV-negative social and sexual networks.

Geographic Distribution of HIV Transmission Networks in the United States

BACKGROUND

Understanding geographic patterns of HIV transmission is critical to designing effective interventions. We characterized geographic proximity by transmission risk and urban-rural characteristics among people with closely related HIV strains suggestive of potential transmission relationships.

METHODS

We analyzed US National HIV Surveillance System data of people diagnosed between 2010 and 2016 with a reported HIV-1 partial polymerase nucleotide sequence. We used HIV TRAnsmission Cluster Engine (HIV-TRACE) to identify sequences linked at a genetic distance of ≤0.5%. For each linked person, we assessed median distances between counties of residence at diagnosis by transmission category and urban-rural classification, weighting observations to account for persons with multiple linked sequences.

RESULTS

There were 24,743 persons with viral sequence linkages to at least one other person included in this analysis. Overall, half (50.9%) of persons with linked viral sequences resided in different counties, and the median distance from persons with linked viruses was 11 km/7 miles [interquartile range (IQR), 0-145 km/90 miles]. Median distances were highest for men who have sex with men (MSM: 14 km/9 miles; IQR, 0-179 km/111 miles) and MSM who inject drugs, and median distances increased with increasing rurality (large central metro: 0 km/miles; IQR, 0-83 km/52 miles; nonmetro: 103 km/64 miles; IQR, 40 km/25 miles-316 km/196 miles).

CONCLUSION

Transmission networks in the United States involving MSM, MSM who inject drugs, or persons living in small metro and nonmetro counties may be more geographically dispersed, highlighting the importance of coordinated health department efforts for comprehensive follow-up and linkage to care.

Advancing Digital Health Equity: A Policy Paper of the Infectious Diseases Society of America and the HIV Medicine Association

The SARS-CoV-2 virus pandemic has revolutionized the practice of ambulatory medicine, triggering rapid dissemination of digital healthcare modalities, including synchronous video visits. However, social determinants of health, such as age, race, income, and others, predict readiness for telemedicine and individuals who are not able to connect virtually may become lost to care. This is particularly relevant to the practice of Infectious Diseases (ID) and HIV Medicine, as we care for high proportions of individuals whose health outcomes are affected by such factors. Furthermore, delivering high-quality clinical care in ID and HIV practice necessitates discussion of sensitive topics, which is challenging over video without proper preparation. We describe the “digital divide,” emphasize the relevance to ID and HIV practice, underscore the need to study the issue and develop interventions to mitigate its impact, and provide suggestions for optimizing telemedicine in ID and HIV clinics.

Advancing Digital Health Equity: A Policy Paper of the Infectious Diseases Society of America and the HIV Medicine Association

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has revolutionized the practice of ambulatory medicine, triggering rapid dissemination of digital healthcare modalities, including synchronous video visits. However, social determinants of health, such as age, race, income, and others, predict readiness for telemedicine and individuals who are not able to connect virtually may become lost to care. This is particularly relevant to the practice of infectious diseases (ID) and human immunodeficiency virus (HIV) medicine, as we care for high proportions of individuals whose health outcomes are affected by such factors. Furthermore, delivering high-quality clinical care in ID and HIV practice necessitates discussion of sensitive topics, which is challenging over video without proper preparation. We describe the “digital divide,” emphasize the relevance to ID and HIV practice, underscore the need to study the issue and develop interventions to mitigate its impact, and provide suggestions for optimizing telemedicine in ID and HIV clinics.

The HIV Care Continuum in Small Cities of Southern New England: Perspectives of People Living with HIV/AIDS, Public Health Experts, and HIV Service Providers

The HIV care continuum (HCC), comprised of five steps (screening, linkage to care, treatment initiation, retention, and viral suppression), is used to monitor treatment delivery to people living with HIV (PLWH). The HCC has primarily focused on large urban or metropolitan areas where the situation may differ from that in smaller cities. Three themes (i.e., knowledge, stigma, stability) that shaped HCC outcomes were identified from analysis of two qualitative studies involving HIV service providers, public health experts, and PLWH in smaller cities of southern New England. The findings suggest that enhancing HCC outcomes require a multiprong approach that targets both the individual and organizational levels and includes interventions to increase health literacy, staff communication skills, universal screening to assess patients' religiosity/spirituality and supplemental service needs. Interventions that further ensure patient confidentiality and the co-location and coordination of HIV and other healthcare services are particularly important in smaller cities.

Associations between population density and clinical and sociodemographic factors in women living with HIV in the Southern United States

To explore the associations of urbanicity with clinical/behavioral outcomes and sociodemographic factors among women living with HIV in the Southern United States, 523 participants of the Women's Interagency HIV Study were classified into population density quartiles. Rural-Urban Commuting Area codes revealed that 7% resided in areas where >30% commute to urban areas, 2% resided in small towns or rural areas, and 91% resided in varying densities of urban areas. Although women in lower density, mostly suburban areas reported higher socioeconomic indicators such as advanced education and greater annual household income, larger proportions of women in the lowest density quartile perceived discrimination in health care settings and agreed with several internalized HIV stigma scale items. Women in the lower quartiles had higher CD4 counts, while those in the lowest quartile were more likely to have a suppressed HIV viral load, report being employed, and not report a history of drug use or current heavy alcohol use. More research is needed to understand the interplay between population density and mechanisms contributing to HIV control as well as increased internalized stigma and perceived discrimination, along with how to target interventions to improve outcomes for individuals with HIV across urban, suburban, and rural areas.

The Health Resources and Services Administration's Ryan White HIV/AIDS Program in rural areas of the United States: Geographic distribution, provider characteristics, and clinical outcomes

Background

People living with HIV (PLWH) residing in rural areas experience substantial barriers to HIV care, which may contribute to poor HIV health outcomes, including retention in HIV care and viral suppression. The Health Resources and Services Administration’s Ryan White HIV/AIDS Program (HRSA RWHAP) is an important source of HIV medical care and support services in rural areas. The purpose of this analysis was to (1) assess the reach of the RWHAP in rural areas of the United States, (2) compare the characteristics and funded services of RWHAP provider organizations in rural and non-rural areas, and (3) compare the characteristics and clinical outcomes of RWHAP clients accessing medical care and support services in rural and non-rural areas.

Methods and findings

Data for this analysis were abstracted from the 2017 RWHAP Services Report (RSR), the primary source of annual, client-level RWHAP data. Organizations funded to deliver RWHAP any service (“RWHAP providers”) were categorized as rural or non-rural according to the HRSA FORHP’s definition of modified Rural-Urban Commuting Area (RUCA) codes. RWHAP clients were categorized based on their patterns of RWHAP service use as “visited only rural providers,” “visited only non-rural providers,” or “visited rural and non-rural providers.” In 2017, among the 2,113 providers funded by the RWHAP, 6.2% (n = 132) were located in HRSA-designated rural areas. Rural providers were funded to deliver a greater number of service categories per site than non-rural providers (44.7% funded for ≥5 services vs. 34.1% funded for ≥5 services, respectively). Providers in rural areas served fewer clients than providers in non-rural areas; 47.3% of RWHAP providers in rural areas served 1–99 clients, while 29.6% of non-rural providers served 1–99 clients. Retention in care and viral suppression outcomes did not differ on the basis of whether a client accessed services from rural or non-rural providers.

Conclusions

RWHAP providers are a crucial component of HIV care delivery in the rural United States despite evidence of significant barriers to engagement in care for rural PLWH, RWHAP clients who visited rural providers were just as likely to be retained in care and reach viral suppression as their counterparts who visited non-rural providers. The RWHAP, especially in partnership with Rural Health Clinics and federally funded Health Centers, has the infrastructure and expertise necessary to address the HIV epidemic in rural America.

Assessing Differences in CDC-Funded HIV Testing by Urbanicity, United States, 2016

HIV prevention efforts have contributed to a decline in annual HIV infections in the United States. However, progress has been uneven and certain groups and geographic areas continue to be disproportionately affected. Subsequent to implementation of CDC's high-impact HIV prevention approach to reducing new infections, we analyzed national-level CDC-funded HIV test data from 2016 to describe the population being reached in three urbanicity settings (metropolitan: ≥ 1,000,000 population; urban: 50,000-999,999; rural: < 50,000). Over 70% of CDC-funded HIV tests and almost 80% of persons newly diagnosed with HIV as a result of CDC-funded testing occurred in metropolitan areas. Nonetheless, CDC-funded testing efforts are reaching urban and rural areas, especially in the South, providing opportunities to identify persons unaware of their HIV status and link those with newly diagnosed HIV to medical care and prevention services. While CDC-funded testing efforts have continued to focus on population subgroups and geographic areas at greatest risk, efforts should also continue in rural areas and among groups in need with a low national burden.

Characteristics of and Trends in HIV Diagnoses in the Deep South Region of the United States, 2012-2017

HIV prevention goals in the United States include reducing new HIV infections among people in the South Census region (commonly referred as the South). Using data reported to the National HIV Surveillance System, we examined trends in HIV diagnoses in the South, including the Deep South and Other South, during 2012-2017. Although diagnosis rates declined in all regions during the time period, declines were greater in all other regions compared to the Deep South, with the exception of the West region. Moreover, the South continues to have a diagnosis rate 50% higher (65% higher in the Deep South) than that of any other region. Diagnoses in the Deep South increased among some groups, including men who have sex with men, persons aged 25-34 years and Hispanics/Latinos. These findings highlight the need to further strengthen interventions in the South, particularly among communities of color and young adults.

Viremia Trajectories of HIV in HIV-Positive Women in the United States, 1994-2017

IMPORTANCE

Viral suppression of HIV is an important treatment goal to decrease morbidity, mortality, and risk of transmission to others.

OBJECTIVE

To characterize longitudinal HIV viral load outcomes among women enrolled in the Women's Interagency HIV Study (WIHS).

DESIGN, SETTING, AND PARTICIPANTS

A prospective cohort study of HIV-positive women with semiannual study visits and a minimum of 5 follow-up visits was conducted from 1994 to 2017. The WIHS sites included in this analysis are in Brooklyn and Bronx, New York; Chicago, Illinois; San Francisco, California; and Washington, DC.

MAIN OUTCOMES AND MEASURES

Women were categorized into groups based on their probability of achieving viral load suppression below 200 copies/mL using logistic trajectory modeling. Multinomial regression analysis was used to identify factors associated with placement in the group with the highest probability of viremia.

RESULTS

At baseline, the mean (SD) age of the 1989 women was 36.9 (8.0) years, mean CD4+ T-lymphocyte count was 467/mm3, median (interquartile range) HIV RNA was 6200.0 (384.5-41 678.0) copies/mL, and 1305 women (65.6%) were African American. Three trajectory groups were identified with low (568 [28.6%]), intermediate (784 [39.4%]), and high (637 [32.0%]) probability of viremia above 200 copies/mL. The mean (SD) cumulative years of viral suppression were 18.7 (4.0) years, 12.2 (3.1) years, and 5.8 (2.9) years in the respective groups. Factors associated with high probability of viremia included younger age (odds ratio [OR]. 0.99; 95% CI, 0.98-0.99; P = .03), African American race (odds ratio [OR], 2.43; 95% CI, 1.75-3.37), P < .001), Hispanic race/ethnicity (OR, 1.50; 95% CI, 1.03-2.19; P = .04), increased levels of depressive symptoms (OR, 1.17; 95% CI, 1.01-1.36; P = .03), drug use (OR, 1.23; 95% CI, 1.01-1.51; P = .04), lower CD4+ T-lymphocyte counts (OR, 95% CI, 0.82; 0.80-0.85; P < .001), and unstable housing (OR, 1.25, 95% CI, 1.03-1.50; P = .02). Between 2015 and 2017, 71.2% of women demonstrated sustained viral suppression: 89.6% (310 of 346) of those with low viremia, 83.4% (346 of 415) with intermediate, and 35.2% (112 of 318) with high probability of viremia.

CONCLUSIONS AND RELEVANCE

This longitudinal approach suggested that the probability of viremia decreased substantially over time for most participants, including among women with earlier histories of incomplete viral suppression. The findings from this study suggest that continued efforts are needed to address mental health, social, behavioral and structural factors that were identified as associated with high probability of HIV viremia over time.

Jail-Based Case Management Improves Retention in HIV Care 12 Months Post Release

Continuous and coordinated HIV care is essential for persons living with HIV to benefit from the advances in medical treatment of the disease. Approximately one in seven individuals living with HIV pass through correctional facilities annually. While sentenced individuals may receive discharge planning services, detainees in local jails usually do not. The multisite evaluation of the EnhanceLink initiative demonstrated that jail based services including discharge planning were associated with high rates of linkage to community HIV care upon release. Follow up for the multisite evaluation was limited to 6 months. This paper extends follow up to 12 months at one site and demonstrates that clients who were linked by the jail based case manager to a Ryan White community based case manager were more than nine times more likely to be retained in care at 12 month post release. (OR 9.39, CI 1.11-79.12).

Losses to follow-up of HIV-infected people in the Spanish VACH cohort over the period between 2013 and 2014: The importance of sociodemographic factors

OBJECTIVE

To determine the proportion of people infected by HIV or AIDS under follow-up in the VACH Cohort in 2012 who were lost to follow-up from 2013 to 2014, and to establish the sociodemographic features relating to this loss.

METHODS

We considered subjects with less than one recorded consultation per year studied to be lost to follow-up. We built logistic regression models to calculate the odds ratios (OR) and their 95% confidence intervals (95% CI), of the variables relating to loss to follow-up.

RESULTS

The overall percentage of losses to follow-up was 15.5% (95% CI 14.9-16-1). The variables associated with loss to follow up were: not receiving antiretroviral treatment (ART) (OR: 1.948, 95% CI: 1.651 -2.298), being an immigrant (OR: 1.746; 95%CI: 1.494-2.040), intravenous drug consumption being the mechanism for HIV transmission (OR: 1.498, 95% CI: 1.312-1.711), being unemployed (OR: 1.331; 95% CI: 1.179-1.503), being without a partner (OR: 1.948, 95% CI: 1.651-1.298), belonging to a low socioeconomic class (OR: 1.279; 95% CI: 1.143-1.431), and being attended in a hospital with fewer than 1000 patients under follow-up (OR: 1.257, 95% CI: 1.121-1.457), as well as being under age and having spent less time under follow-up in the Cohort.

CONCLUSIONS

15.5% of the patients were lost to follow-up over a period of 2years in the VACH Cohort. This was associated with a series of sociodemographic and epidemiological variables that it might be useful to identify to design initiatives targeting the populations most likely to abandon the circuits of care, and guide strategies towards achieving Objective 90-90-90.

State of HIV in the US Deep South

The Southern United States has been disproportionately affected by HIV diagnoses and mortality. To inform efforts to effectively address HIV in the South, this manuscript synthesizes recent data on HIV epidemiology, care financing, and current research literature on factors that predispose this region to experience a greater impact of HIV. The manuscript focuses on a specific Southern region, the Deep South, which has been particularly affected by HIV. Epidemiologic data from the Centers from Disease Control and Prevention indicate that the Deep South had the highest HIV diagnosis rate and the highest number of individuals diagnosed with HIV (18,087) in 2014. The percentage of new HIV diagnoses that were female has decreased over time (2008-2014) while increasing among minority MSM. The Deep South also had the highest death rates with HIV as an underlying cause of any US region in 2014. Despite higher diagnosis and death rates, the Deep South received less federal government and private foundation funding per person living with HIV than the US overall. Factors that have been identified as contributors to the disproportionate effects of HIV in the Deep South include pervasive HIV-related stigma, poverty, higher levels of sexually transmitted infections, racial inequality and bias, and laws that further HIV-related stigma and fear. Interventions that address and abate the contributors to the spread of HIV disease and the poorer HIV-related outcomes in the Deep South are warranted. Funding inequalities by region must also be examined and addressed to reduce the regional disparities in HIV incidence and mortality.

Role of Gay Neighborhood Status and Other Neighborhood Factors in Racial/Ethnic Disparities in Retention in Care and Viral Load Suppression Among Men Who Have Sex with Men, Florida, 2015

This study's objective was to examine the role of gay neighborhood residence and other neighborhood factors in racial/ethnic disparities in retention in HIV care and viral load suppression during 2015. Florida residents diagnosed 2000-2014 with HIV infection and with transmission mode of men who have sex with men (MSM) were included in multi-level logistic regression models. Of 29,156 MSM, 29.4% were not retained and 34.2% were not virally suppressed. Non-Hispanic Blacks (NHB) had a higher likelihood of not being retained (adjusted prevalence ratio [aPR] 1.31, 95% confidence interval [CI] 1.24-1.38, p value < 0.0001) and not being virally suppressed (aPR 1.82, 95% CI 1.67-1.98, p value < 0.0001) compared with non-Hispanic Whites. Among NHBs, rural residence was protective for both outcomes. Although gay neighborhood residence was not associated with either outcome, the role of other neighborhood factors suggests that individual and neighborhood barriers to HIV care and treatment should be addressed among MSM.

Washington state satellite HIV clinic program: a model for delivering highly effective decentralized care in under-resourced communities

To improve access to high-quality HIV care in underserved regions of Western Washington (WA) State, we collaborated with the WA State Department of Health (DOH) and community partners to launch four satellite HIV clinics. Here, we describe this innovative clinical care model, present an estimate of costs, and evaluate patient care outcomes, including virologic suppression rates. To accomplish this, we assessed virologic suppression rates 12 months before and 12 months after the satellite clinics opened, comparing people living with HIV (PLWH) who enrolled in the satellite clinics versus all PLWH in the same regions who did not. We also determined virologic suppression rates in 2015 comparing satellite clinic versus non-satellite clinic patients and compared care quality indicators between the satellite clinics and the parent academic clinic. Results demonstrate that the change in virologic suppression rate 12 months before to 12 months after the satellite clinics opened was higher for patients who enrolled in the satellite clinics compared to all those in the same region who did not (18% versus 6%, p < 0.001). Virologic suppression in 2015 was significantly higher for satellite clinic than non-satellite clinic patients at three of four sites. Care quality indicators were met at a high level at the satellite clinics, comparable to the parent academic clinic. Overall, through community partnerships and WA DOH support, the satellite clinic program increased access to best practice HIV care and improved virologic suppression rates in difficult-to-reach areas. This model could be expanded to other regions with inadequate access to HIV practitioners, though financial support is necessary.

The relationship between adverse neighborhood socioeconomic context and HIV continuum of care outcomes in a diverse HIV clinic cohort in the Southern United States

Retention in care and viral suppression are critical to delaying HIV progression and reducing transmission. Neighborhood socioeconomic context (NSEC) may affect HIV care receipt. We therefore assessed NSEC's impact on retention and viral suppression in a diverse HIV clinical cohort. HIV-positive adults with ≥1 visit at the Vanderbilt Comprehensive Care Clinic and 5-digit ZIP code tabulation area (ZCTA) information between 2008 and 2012 contributed. NSEC z-score indices used neighborhood-level socioeconomic indicators for poverty, education, labor-force participation, proportion of males, median age, and proportion of residents of black race by ZCTA. Retention was defined as ≥2 HIV care visits per calendar year, >90 days apart. Viral suppression was defined as an HIV-1 RNA <200 copies/mL at last measurement per calendar year. Modified Poisson regression was used to estimate risk ratios (RR) and 95% confidence intervals (CI). Among 2272 and 2541 adults included for retention and viral suppression analyses, respectively, median age and CD4 count at enrollment were approximately 38 (1st and 3rd quartile: 30, 44) years and 351 (176, 540) cells/μL, respectively, while 24% were female, and 39% were black. Across 243 ZCTAs, median NSEC z-score was 0.09 (-0.66, 0.48). Overall, 79% of person-time contributed was retained and 74% was virally suppressed. In adjusted models, NSEC was not associated with retention, though being in the 4th vs. 1st NSEC quartile was associated with lack of viral suppression (RR = 0.88; 95% CI: 0.80-0.97). Residing in the most adverse NSEC was associated with lack of viral suppression. Future studies are needed to confirm this finding.

Trends in the San Francisco Human Immunodeficiency Virus Epidemic in the "Getting to Zero" Era

Background

San Francisco has launched interventions to reduce new human immunodeficiency virus (HIV) infections and HIV-associated morbidity and mortality during the San Francisco "Getting to Zero" era. We measured recent changes in HIV care indicators to assess the success of these interventions.

Methods

San Francisco residents with newly diagnosed HIV infection, diagnosed from 2009 to 2014, were included. We measured temporal changes from HIV diagnosis to (1) linkage to care in within ≤3 months, (2) initiation of antiretroviral therapy (ART) within ≤12 months, (3) viral suppression within ≤12 months, (4) development of AIDS within ≤3 months, (5) death within ≤12 months, and (6) retention in care 6-12 months after linkage. Kaplan-Meier analyses stratified by year of HIV diagnosis measured time from diagnosis to linkage, ART initiation, viral suppression, AIDS, and death.

Results

Overall, the number of new diagnoses declined from 473 in 2009 to 329 in 2014. The proportion of new diagnoses among men (P = .005), Latinos and Asian/Pacific Islanders (P = .02), and men who have sex with men (P = .003) increased. ART initiation and viral suppression ≤12 months after diagnosis increased (P < .001), while the proportion with AIDS diagnosed ≤3 months after HIV diagnosis declined (P < .001). Time to ART initiation and time to viral suppression were significantly shorter in more recent years of diagnosis (P < .001). Time from HIV to AIDS diagnosis was significantly longer in more recent years (P < .001). Retention in care did not significantly change.

Conclusions

In San Francisco new HIV diagnoses have declined and HIV care indicators have improved during the Getting to Zero era. Continued success requires attention to vulnerable populations and monitoring to adjust programmatic priorities.

HIV Care Initiation Delay Among Rural Residents in the Southeastern United States, 1996 to 2012

BACKGROUND

Delaying HIV care initiation may lead to greater morbidity, mortality, and further HIV transmission. Rural residence may be associated with delayed diagnosis and linkage to care, with negative clinical outcomes.

OBJECTIVE

To examine the association between rural patient residence and CD4 cell count at HIV care initiation in a large HIV clinical cohort in the Southeastern United States.

METHODS

We included HIV-infected patients who initiated care between 1996 and 2012 with a geocodable address and no previous history of HIV clinical care. Patient residence was categorized as urban or rural using United States Department of Agriculture Rural Urban Commuting Area codes. Multivariable linear regression models were fit to estimate the association between patient residence and CD4 cell count at HIV care initiation.

RESULTS

Among 1396 patients who met study inclusion criteria, 988 had a geocodable address. Overall, 35% of patients resided in rural areas and presented to HIV care with a mean CD4 cell count of 351 cells/mm (SD, 290). Care initiation mean CD4 cell counts increased from 329 cells/mm (SD, 283) in 1996-2003 to 391 cells/mm (SD, 292) in 2008-2012 (P = 0.006). Rural in comparison with urban patients presented with lower CD4 cell counts with an unadjusted and adjusted mean difference of -48 cells/mm [95% confidence interval, -86 to -10) and -37 cells/mm (95% confidence interval: -73 to -2), respectively, consistently observed across calendar years.

CONCLUSIONS

HIV care initiation at low CD4 cell counts was common in this Southeastern US cohort and more common among rural area residents.