Looking back to see forward: multidirectional learning between the US Ryan White HIV/AIDS Program and the US President's Emergency Plan for AIDS Relief.

To end the HIV epidemic as a public health threat, there is urgent need to increase the frequency, depth and intentionality of bidirectional and mutually beneficial collaboration and coordination between the USA and global HIV/AIDS response. The US Health Resources and Services Administration (HRSA) is uniquely positioned to showcase bidirectional learning between high-income and low-income and middle-income countries (LMICs) in the fight against HIV. For 30 years, HRSA has successfully administered the Ryan White HIV/AIDS Program (RWHAP), the largest federal programme designed specifically for people with HIV in the USA. Further, HRSA has developed and delivered innovative, cost-effective, impactful HIV programmes in over 30 countries as an implementing agency for the US President's Emergency Plan for AIDS Relief (PEPFAR). When PEPFAR was authorised in 2003, HRSA rapidly developed systems and infrastructures to deliver life-saving treatment, initiated workforce development programmes to mitigate health worker shortages, and laid the path for transitioning PEPFAR activities from US-based organisations to sustainable, country-led entities. As global programmes matured, lessons learnt within LMICs gradually began strengthening health services in the USA. To fully optimise synergies between RWHAP and PEPFAR, there is a critical need to build on successful initiatives, harness innovation and technology, and inculcate the spirt of multidirectional learning into global health. HRSA is promoting bidirectional learning between domestic and international HIV programming through documenting, sharing and implementing strategies, lessons learnt, best practices and effective models of care to accelerate achievement of HIV epidemic control and support country-led, sustained responses to public health threats.

Assessing Health Care Utilization and Spending Among Older Medicare Beneficiaries With and Without HIV.

Improvements in treatment have made HIV a manageable chronic condition, leading to increased life expectancy and a growing share of people with HIV who are older. Older people with HIV have higher rates of many chronic conditions, yet little is known about differences in health care utilization and spending. This study compared health care utilization and spending for Medicare beneficiaries with and without HIV, accounting for differential mortality. The data included demographic characteristics and claims-based information. Estimated cumulative spending for beneficiaries with HIV aged 67 to 77 years was 26% higher for Medicare Part A and 39% higher for Medicare Part B compared with beneficiaries without HIV; most of these differences would be larger if not for greater mortality risk among people with HIV (and therefore fewer years to receive care). Future research should disentangle underlying causes for this increased need and describe potential responses by policymakers and health care providers.

Unmet needs for HIV ancillary care services by healthcare coverage and Ryan White HIV/AIDS program assistance.

OBJECTIVE: To investigate unmet needs for HIV ancillary care services by healthcare coverage type and Ryan White HIV/AIDS Program (RWHAP) assistance among adults with HIV. DESIGN: We analyzed data using the 2017-2019 cycles of the CDC Medical Monitoring Project, an annual, cross-sectional study designed to produce nationally representative estimates of characteristics among adults with diagnosed HIV. METHODS: Unmet need was defined as needing, but not receiving, one or more HIV ancillary care services. We estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) using predicted marginal means to examine associations between healthcare coverage type and unmet needs for HIV ancillary care services, adjusting for age. Associations were stratified by receipt of RWHAP assistance. RESULTS: Unmet needs for HIV ancillary care services were highest among uninsured persons (58.7%) and lowest among those with private insurance living with at least 400% of the federal poverty level (FPL; 21.7%). Uninsured persons who received RWHAP assistance were less likely than those who did not receive RWHAP assistance to have unmet needs for HIV clinical support services (aPR: 0.21; 95% CI: 0.16-0.28) and other medical services (aPR: 0.75; 95% CI: 0.59-0.96), but not subsistence services (aPR: 0.97; 95% CI: 0.74-1.27). Unmet needs for other medical services and subsistence services did not differ by RWHAP assistance among those with Medicaid, Medicare, or other healthcare coverage. CONCLUSIONS: RWHAP helped reduce some needs for uninsured persons. However, with growing socioeconomic inequities following the coronavirus disease 2019 pandemic, expanding access to needed services for all people with HIV could improve key outcomes.

Assessing the health status and mortality of older people over 65 with HIV.

BACKGROUND: Nearly half of people with HIV in the United States are 50 years or older, and this proportion is growing. Between 2012 and 2016, the largest percent increase in the prevalence rate of HIV was among people aged 65 and older, the eligibility age for Medicare coverage for individuals without a disability or other qualifying condition. Previous work suggests that older people with HIV may have higher rates of chronic conditions and develop them more rapidly than older people who do not have HIV. This study compared the health status of older people with HIV with the older US population not living with HIV by comparing: (1) mortality; (2) prevalence of certain conditions, and (3) incidence of these conditions with increasing age. METHODS AND FINDINGS: We used a sample of Medicare beneficiaries aged 65 and older from the Medicare Master Beneficiary Summary File for the years 2011 to 2016, including 100% of individuals with HIV (N = 43,708), as well as a random 1% sample of individuals without diagnosed HIV (N = 1,029,518). We conducted a survival analysis using a Cox proportional hazards model to assess mortality and to determine the need to adjust for differential mortality in our analyses of the incidence of certain chronic conditions. These results showed that Medicare beneficiaries living with HIV have a significantly higher hazard of mortality compared to older people without diagnosed HIV (3.6 times the hazard). We examined the prevalence of these conditions using logistic regression analysis and found that people with HIV have a statistically significant higher odds of depression, chronic kidney disease, chronic obstructive pulmonary disease (COPD), osteoporosis, hypertension, ischemic heart disease, diabetes, chronic hepatitis, end-stage liver disease, lung cancer, and colorectal cancer. To look at the rate at which older people are diagnosed with conditions as they age, we used a Fine-Gray competing risk model and showed that for individuals without diagnosis of a given condition at age 65, the future incidence of that condition over the remaining study period was higher for people with HIV even after adjusting for differential hazard of mortality and for other demographic characteristics. Many of these results also varied by personal characteristics including Medicaid dual enrollment, sex, and race and ethnicity, as well as by condition. CONCLUSIONS: Increasing access to care and improving health outcomes for people with HIV is a critical goal of the National HIV/AIDS Strategy 2020. It is important for clinicians and policymakers to be aware that despite significant advances in the treatment and care of people with HIV, older people with HIV have a higher odds of having multiple chronic conditions at any point in time, a higher incidence of new diagnoses of these conditions over time, and a higher hazard of mortality than Medicare beneficiaries without HIV.

The Health Resources and Services Administration (HRSA) Ryan White HIV/AIDS Program's Response to the Opioid Epidemic.

BACKGROUND: The United States is in the midst of an unprecedented opioid crisis with increasing injection drug use (IDU)-related human immunodeficiency virus (HIV) outbreaks, particularly in rural areas. The Health Resources and Services Administration (HRSA)'s Ryan White HIV/AIDS Program (RWHAP) is well positioned to integrate treatment for IDU-associated HIV infections with treatment for drug use disorders. These activities will be crucial for the "Ending the HIV Epidemic: A Plan for America" (EHE) initiative, in which 7 southern states were identified with rural HIV epidemics. METHODS: The RWHAP Services Report data were used to assess the IDU population and substance use services utilization among RWHAP clients in 2017, nationally and in the 7 EHE-identified states. THe HRSA held a 1-day Technical Expert Panel (TEP) to explore how RWHAP can best respond to the growing opioid crisis. RESULTS: During the TEP, 8 key themes emerged and 11 best practices were identified to address opioid use disorder (OUD) among people with HIV. In 2017, among RWHAP clients with reported age and transmission category, 6.7% (31 683) had HIV attributed to IDU; among IDU clients, 6.3% (1988) accessed substance use services. CONCLUSIONS: The TEP results and RWHAP data were used to develop implementation science projects that focus on addressing OUD and integrating behavioral health in primary care. These activities are critical to ending the HIV epidemic.

A mathematical model to estimate the state-specific impact of the Health Resources and Services Administration's Ryan White HIV/AIDS Program.

BACKGROUND: Access to and engagement in high-quality HIV medical care and treatment is essential for ending the HIV epidemic. The Health Resources and Services Administration's (HRSA) Ryan White HIV/AIDS Program (RWHAP) plays a critical role in ensuring that people living with diagnosed HIV (PLWH) are linked to and consistently engaged in high quality care and receive HIV medication in a timely manner. State variation in HIV prevalence, the proportion of PLWH served by the RWHAP, and local health care environments could influence the state-specific impact of the RWHAP. This analysis sought to measure the state-specific impact of the RWHAP on the HIV service delivery system and health outcomes for PLWH, and presents template language to communicate this impact for state planning and stakeholder engagement. METHODS AND FINDINGS: The HRSA's HIV/AIDS Bureau (HAB) and the Centers for Disease Control and Prevention's Division of HIV/AIDS Prevention (CDC DHAP) have developed a mathematical model to estimate the state-specific impact of the RWHAP. This model was parameterized using RWHAP data, HIV surveillance data, an existing CDC model of HIV transmission and disease progression, and parameters from the literature. In this study, the model was used to analyze the hypothetical scenario of an absence of the RWHAP and to calculate the projected impact of this scenario on RWHAP clients, RWHAP-funded providers, mortality, new HIV cases, and costs compared with the current state inclusive of the RWHAP. To demonstrate the results of the model, we selected two states, representing high HIV prevalence and low HIV prevalence areas. These states serve to demonstrate the functionality of the model and how state-specific results can be translated into a state-specific impact statement using template language. CONCLUSIONS: In the example states presented, the RWHAP provides HIV care, treatment, and support services to a large proportion of PLWH in each state. The absence of the RWHAP in these states could result in substantially more deaths and HIV cases than currently observed, resulting in considerable lifetime HIV care and treatment costs associated with additional HIV cases. State-specific impact statements may be valuable in the development of state-level HIV prevention and care plans or for communications with planning bodies, state health department leadership, and other stakeholders. State-specific impact statements will be available to RWHAP Part B recipients upon request from HRSA's HIV/AIDS Bureau.

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.

Trauma Management Therapy and Prolonged Exposure Therapy for PTSD in an active duty sample: Design and methodology of a randomized clinical trial.

Posttraumatic stress disorder (PTSD) resulting from military service is a common, yet often chronic condition. Treatment outcome often is attenuated by programs that are (a) lengthy in nature and (b) constricted in their target outcomes. These limitations leave much of the emotional and behavioral impairment that accompanies PTSD unaddressed and/or unassessed. Typical PTSD treatment programs are 3-4 months in length, which is challenging for the pace of the nation's military. In this investigation, we will compare two treatments, Trauma Management Therapy (TMT) and Prolonged Exposure (PE), both redesigned to address the needs of active duty personnel (300 participants at 3 military installations). Specifically, we will compare the TMT Intensive Outpatient Program (IOP; 3 weeks) to PE's compressed (2 week) format. Both interventions will be compared to a standard course of PE (12 weeks). In addition to PTSD symptomatology, outcome measurement includes other aspects of psychopathology as well as changes in social, occupational, and familial impairment. Potential negative outcomes of massed treatment, such as increased suicidal ideation or increased alcohol use, will be assessed, as will genetic predictors of PTSD subtype and treatment outcome. This study will inform the delivery of care for military-related PTSD and particularly the use of intensive or compressed treatments for active duty personnel.

Short-Term Outcomes and Lessons Learned From the Federal HIV Health Improvement Affinity Group for State Medicaid/Children's Health Insurance Program Agencies and State Health Departments.

BACKGROUND: Medicaid is the single largest source of health care coverage for people living with HIV (PLWH) in the United States. Therefore, high-quality HIV care and associated viral suppression among Medicaid beneficiaries have the potential to greatly impact the HIV epidemic. The HIV Health Improvement Affinity Group (HHIAG) supported state efforts to improve health outcomes for PLWH enrolled in Medicaid through new or enhanced collaborations between state public health departments and state Medicaid agencies. METHODS: Supported by multiple federal health agencies for 1 year, state health department and Medicaid staff from 19 states participated in state-to-state learning and sharing of promising approaches. This evaluation assessed the HHIAG's processes, short-term outcomes, and lessons learned through review of state materials, a web survey, and telephone interviews. RESULTS: Of the 19 states, 13 (68%) ultimately established new, or refined existing, data-sharing agreements between Medicaid and public health departments. Nearly all states with data-sharing agreements successfully matched the data or streamlined the data-matching process (n = 12/13). Two-thirds of states (67%, n = 8/12) with matched data generated an HIV care continuum for state Medicaid/Children's Health Insurance Program beneficiaries; 75% (n = 6/8) of these states also initiated quality improvement activities. CONCLUSIONS: The HHIAG created an unique opportunity for multiple federal agencies and states to collaborate and implement data-driven, state-specific solutions to improve care delivery and, ultimately, clinical outcomes for PLWH. The HHIAG model has the potential to be replicated to address other public health issues that cross agency and institutional boundaries, such as hepatitis C.

Human Immunodeficiency Virus (HIV) Viral Suppression After Transition From Having No Healthcare Coverage and Relying on Ryan White HIV/AIDS Program Support to Medicaid or Private Health Insurance.

Among 1942 persons with human immunodeficiency virus (HIV) without healthcare coverage in 2012-2015, transitioning to Medicaid (adjusted prevalence ratio, 0.95 [0.87, 1.04]) or to private health insurance (1.04 [0.95, 1.13]) was not associated with a change in consistent HIV viral suppression compared to continued reliance on the Ryan White HIV/AIDS Program.

Reducing HIV-Related Health Disparities in the Health Resources and Services Administration's Ryan White HIV/AIDS Program.

The Health Resources and Services Administration's Ryan White HIV/AIDS Program (RWHAP) supports direct health care treatment and support services to more than 50% of all people living with diagnosed HIV in the United States. A critical goal of the RWHAP is to reduce HIV-related health disparities to help end the HIV epidemic. From 2010 through 2016, the RWHAP made significant progress reducing viral suppression disparities among client populations, particularly among women, transgender persons, youths, Blacks or African Americans, and unstably housed clients. To assist with the reduction of the remaining disparities in HIV-related health outcomes among clients, the RWHAP continues to support planning and resource allocation for RWHAP Parts A through D and AIDS Drug Assistance Program, as well as through implementing policy and program initiatives, Special Projects of National Significance, evaluation studies, and collaborations to disseminate effective interventions.

Optimal allocation of HIV prevention funds for state health departments.

OBJECTIVE: To estimate the optimal allocation of Centers for Disease Control and Prevention (CDC) HIV prevention funds for health departments in 52 jurisdictions, incorporating Health Resources and Services Administration (HRSA) Ryan White HIV/AIDS Program funds, to improve outcomes along the HIV care continuum and prevent infections. METHODS: Using surveillance data from 2010 to 2012 and budgetary data from 2012, we divided the 52 health departments into 5 groups varying by number of persons living with diagnosed HIV (PLWDH), median annual CDC HIV prevention budget, and median annual HRSA expenditures supporting linkage to care, retention in care, and adherence to antiretroviral therapy. Using an optimization and a Bernoulli process model, we solved for the optimal CDC prevention budget allocation for each health department group. The optimal allocation distributed the funds across prevention interventions and populations at risk for HIV to prevent the greatest number of new HIV cases annually. RESULTS: Both the HIV prevention interventions funded by the optimal allocation of CDC HIV prevention funds and the proportions of the budget allocated were similar across health department groups, particularly those representing the large majority of PLWDH. Consistently funded interventions included testing, partner services and linkage to care and interventions for men who have sex with men (MSM). Sensitivity analyses showed that the optimal allocation shifted when there were differences in transmission category proportions and progress along the HIV care continuum. CONCLUSION: The robustness of the results suggests that most health departments can use these analyses to guide the investment of CDC HIV prevention funds into strategies to prevent the most new cases of HIV.

Healthcare Coverage for HIV Provider Visits Before and After Implementation of the Affordable Care Act.

BACKGROUND: Before implementation of the Patient Protection and Affordable Care Act (ACA) in 2014, 100 000 persons living with human immunodeficiency virus (HIV) (PLWH) lacked healthcare coverage and relied on a safety net of Ryan White HIV/AIDS Program support, local charities, or uncompensated care (RWHAP/Uncomp) to cover visits to HIV providers. We compared HIV provider coverage before (2011-2013) versus after (first half of 2014) ACA implementation among a total of 28 374 PLWH followed up in 4 sites in Medicaid expansion states (California, Oregon, and Maryland), 4 in a state (New York) that expanded Medicaid in 2001, and 2 in nonexpansion states (Texas and Florida). METHODS: Multivariate multinomial logistic models were used to assess changes in RWHAP/Uncomp, Medicaid, and private insurance coverage, using Medicare as a referent. RESULTS: In expansion state sites, RWHAP/Uncomp coverage decreased (unadjusted, 28% before and 13% after ACA; adjusted relative risk ratio [ARRR], 0.44; 95% confidence interval [CI], .40-.48). Medicaid coverage increased (23% and 38%; ARRR, 1.82; 95% CI, 1.70-1.94), and private coverage was unchanged (21% and 19%; 0.96; .89-1.03). In New York sites, both RWHAP/Uncomp (20% and 19%) and Medicaid (50% and 50%) coverage were unchanged, while private coverage decreased (13% and 12%; ARRR, 0.86; 95% CI, .80-.92). In nonexpansion state sites, RWHAP/Uncomp (57% and 52%) and Medicaid (18% and 18%) coverage were unchanged, while private coverage increased (4% and 7%; ARRR, 1.79; 95% CI, 1.62-1.99). CONCLUSIONS: In expansion state sites, half of PLWH relying on RWHAP/Uncomp coverage shifted to Medicaid, while in New York and nonexpansion state sites, reliance on RWHAP/Uncomp remained constant. In the first half of 2014, the ACA did not eliminate the need for RWHAP safety net provider visit coverage.

Using Resource Allocation Modeling to Inform HIV Prevention Priority Setting for Baltimore-Towson, Maryland.

PROBLEM: In 2010, the Centers for Disease Control and Prevention (CDC) launched the "Enhanced Comprehensive HIV Prevention Planning" initiative, which targeted funding to the 12 U.S. metropolitan statistical areas (MSAs) with the most severe epidemics of human immunodeficiency virus infection to a) develop a plan to align each MSA's HIV prevention plan with the National HIV/AIDS Strategy (NHAS) and b) identify and implement the optimal combination of prevention services to reduce new infections. PURPOSE: This paper describes how the Maryland Department of Health and Mental Hygiene (DHMH) partnered with the Johns Hopkins Bloomberg School of Public Health (JHSPH) to conduct mathematical modeling and economic analyses to inform local planning for resource allocation and intervention design for the Baltimore-Towson MSA. KEY POINTS: The paper outlines the steps of building and implementing that analytic partnership, illustrates how results were discussed with other key stakeholders, and shows how the findings informed local priority setting. CONCLUSION: The paper demonstrates how health departments, academia, and community partners can jointly use policy modeling to improve resource allocation and address urgent public health challenges.

Ryan White HIV/AIDS Program Assistance and HIV Treatment Outcomes.

BACKGROUND: The Ryan White HIV/AIDS Program (RWHAP) provides persons infected with human immunodeficiency virus (HIV) with services not covered by other healthcare payer types. Limited data exist to inform policy decisions about the most appropriate role for RWHAP under the Patient Protection and Affordable Care Act (ACA). METHODS: We assessed associations between RWHAP assistance and antiretroviral therapy (ART) prescription and viral suppression. We used data from the Medical Monitoring Project, a surveillance system assessing characteristics of HIV-infected adults receiving medical care in the United States. Interview and medical record data were collected in 2009-2013 from 18 095 patients. RESULTS: Nearly 41% of patients had RWHAP assistance; 15% relied solely on RWHAP assistance for HIV care. Overall, 91% were prescribed ART, and 75% were virally suppressed. Uninsured patients receiving RWHAP assistance were significantly more likely to be prescribed ART (52% vs 94%; P < .01) and virally suppressed (39% vs 77%; P < .01) than uninsured patients without RWHAP assistance. Patients with private insurance and Medicaid were 6% and 7% less likely, respectively, to be prescribed ART than those with RWHAP only (P < .01). Those with private insurance and Medicaid were 5% and 12% less likely, respectively, to be virally suppressed (P ≤ .02) than those with RWHAP only. Patients whose private or Medicaid coverage was supplemented by RWHAP were more likely to be prescribed ART and virally suppressed than those without RWHAP supplementation (P ≤ .01). CONCLUSIONS: Uninsured and underinsured HIV-infected persons receiving RWHAP assistance were more likely to be prescribed ART and virally suppressed than those with other types of healthcare coverage.

Service Delivery and Patient Outcomes in Ryan White HIV/AIDS Program-Funded and -Nonfunded Health Care Facilities in the United States.

IMPORTANCE: Outpatient human immunodeficiency virus (HIV) health care facilities receive funding from the Ryan White HIV/AIDS Program (RWHAP) to provide medical care and essential support services that help patients remain in care and adhere to treatment. Increased access to Medicaid and private insurance for HIV-infected persons may provide coverage for medical care but not all needed support services and may not supplant the need for RWHAP funding. OBJECTIVE: To examine differences between RWHAP-funded and non-RWHAP-funded facilities and in patient outcomes between the 2 systems. DESIGN, SETTING, AND PARTICIPANTS: The study was conducted from June 1, 2009, to May 31, 2012, using data from the 2009 and 2011 cycles of the Medical Monitoring Project, a national probability sample of 8038 HIV-infected adults receiving medical care at 989 outpatient health care facilities providing HIV medical care. MAIN OUTCOMES AND MEASURES: Data were used to compare patient characteristics, service needs, and access to services at RWHAP-funded vs non-RWHAP-funded facilities. Differences in prescribed antiretroviral treatment and viral suppression were assessed. Data analysis was performed between February 2012 and June 2015. RESULTS: Overall, 34.4% of facilities received RWHAP funding and 72.8% of patients received care at RWHAP-funded facilities. With results reported as percentage (95% CI), patients attending RWHAP-funded facilities were more likely to be aged 18 to 29 years (8.5% [7.4%-9.5%] vs 5.0% [3.9%-6.2%]), female (29.2% [27.2%-31.2%] vs 20.1% [17.0%-23.1%]), black (47.5% [41.5%-53.5%] vs 25.8% [20.6%-31.0%]) or Hispanic (22.5% [16.4%-28.6%] vs 12.9% [10.6%-15.2%]), have less than a high school education (26.1% [24.0%-28.3%] vs 10.9% [8.7%-13.1%]), income at or below the poverty level (53.6% [50.3%-56.9%] vs 23.9% [19.7%-28.0%]), and lack health care coverage (25.0% [21.9%-28.1%] vs 6.1% [4.1%-8.0%]). The RWHAP-funded facilities were more likely to provide case management (76.1% [69.9%-82.2%] vs 15.4% [10.4%-20.4%]) as well as mental health (64.0% [57.0%-71.0%] vs 18.0% [14.0%-21.9%]), substance abuse (33.6% [27.0%-40.2%] vs 12.0% [8.0%-16.0%]), and other support services; patients attending RWHAP-funded facilities were more likely to receive these services. After adjusting for patient characteristics, the percentage prescribed ART antiretroviral therapy, reported as adjusted prevalence ratio (95% CI), was similar between RWHAP-funded and non-RWHAP-funded facilities (1.01 [0.99-1.03]), but among poor patients, those attending RWHAP-funded facilities were more likely to be virally suppressed (1.09 [1.02-1.16]). CONCLUSIONS AND RELEVANCE: A total of 72.8% of HIV-positive patients received care at RWHAP-funded facilities. Many had multiple social determinants of poor health and used services at RWHAP-funded facilities associated with improved outcomes. Without facilities supported by the RWHAP, these patients may have had reduced access to services elsewhere. Poor patients were more likely to achieve viral suppression if they received care at a RWHAP-funded facility.

Persistently high prevalence and unrecognized HIV infection among men who have sex with men in Baltimore: the BESURE study.

BACKGROUND: Given high rates of HIV among Baltimore men who have sex with men (MSM), we examined characteristics associated with HIV prevalence and unrecognized HIV infection among Baltimore MSM at two time points. METHODS: Cross-sectional behavioral surveys and HIV testing in 2004-2005 and 2008 using venue-based sampling among adult Baltimore men at MSM-identified locations. MSM was defined as sex with a male partner in the past year. Bivariate and backward stepwise regression identified characteristics associated with HIV and unrecognized infection. RESULTS: HIV prevalence was 37.7% overall in 2004-2005 (n = 645) and 37.5% in 2008 (n = 448), 51.4% and 44.7% among black MSM and 12.9% and 18.3% among non-Hispanic white MSM. Compared with non-Hispanic white MSM, black MSM were 4.0 times (95% confidence interval, 2.3-7.0) more likely to be HIV-positive in 2004-2005 and 2.5 times (95% confidence interval, 1.5-4.0) more likely in 2008. Prevalence of unrecognized HIV infection was 58.4% overall in 2004-2005 and 74.4% in 2008, 63.8% and 76.9% among black MSM and 15.4% and 47.4% among non-Hispanic white MSM. In adjusted models, unrecognized infection was significantly associated with minority race/ethnicity, younger age, and no prior year doctor visits in 2004-2005 and with younger age and no prior year doctor visits in 2008. CONCLUSION: High rates of HIV infection and substantial rates of unrecognized HIV infection among Baltimore MSM, particularly men of color and young men, require urgent public and private sector attention and increased prevention response.

Prevalence of HIV infection and sexual risk behaviors among individuals having heterosexual sex in low income neighborhoods in Baltimore, MD: the BESURE study.

Data from the 2007 heterosexual wave at the Baltimore site of the National HIV Behavioral Surveillance System, a cross-sectional, venue-based sample survey targeting high-risk heterosexuals, are presented on risks associated with reporting unprotected sex with casual/exchange partners. Recruitment areas were 10 census tracts within Baltimore City categorized as being in the top 20% of tracts most affected by poverty and AIDS in the Baltimore-Towson metropolitan statistical area. Recruitment venues were not attended for the sole purpose of finding sexual partners. The study population was 301 men and women, aged 18-50, who reported sexual intercourse with a member of the opposite sex in the past 12 months. HIV prevalence was 3% overall. Factors independently associated with reporting sex with a casual or exchange partner in the past 12 months were homelessness, age, 4 or more sex partners during the past 12 months, concurrent sex partners in the past 12 months, binge drinking during the past 30 days, and history of sexually transmitted disease diagnoses. HIV testing results suggest that a generalized epidemic is occurring among the population having heterosexual sex in these areas. Furthermore, sexual risk behaviors were widespread in this population, suggesting that HIV prevention efforts in these geographic areas are needed.