A Census Tract-Level Examination of Differences in Social Determinants of Health Among People With HIV, by Race/Ethnicity and Geography, United States and Puerto Rico, 2017

Racial and Ethnic Disparities in HIV Diagnosis Rates by Social Determinants of Health at the Census Tract Level Among Adults in the United States and Puerto Rico, 2021

BACKGROUND

We compared racial and ethnic disparities in HIV diagnosis rates among adults in census tracts with the most disadvantaged vs. the most advantaged levels of social determinants of health.

METHODS

In this ecologic analysis, we used the National HIV Surveillance System data from 2021 and social determinants of health data from 2017-2021 American Community Survey. We measured racial and ethnic disparities stratified by sex in the most disadvantaged quartiles and advantaged quartiles for (1) poverty, (2) education level, (3) median household income, and (4) insurance coverage. We calculated 8 relative disparity measures [Black-to-White rate ratio, Hispanic/Latino-to-White rate ratio, index of disparity (ID), population-weighted ID, mean log deviation, Theil index, population attributable proportion, Gini coefficient] and 4 absolute disparity measures (Black-to-White rate difference, Hispanic/Latino-to-White rate difference, absolute ID, and population-weighted absolute ID).

RESULTS

Comparing the most disadvantaged quartiles with the most advantaged quartiles, all 4 absolute disparity measures decreased, but 7 of the 8 relative disparity measures increased: the median percentage decreases in the absolute measures for men and women, respectively, were 38.1% and 47.6% for poverty, 12.4% and 42.6% for education level, 43.6% and 44.0% for median household income, and 44.2% and 45.4% for insurance coverage. The median percentage increases in the relative measures for men and women, respectively, were 44.3% and 61.3% for poverty, 54.9% and 95.3% for education level, 19.6% and 90.0% for median household income, and 32.8% and 46.4% for insurance coverage.

CONCLUSIONS

Racial and ethnic disparities in the most disadvantaged and the most advantaged quartiles highlight the need for strategies addressing the root causes of disparities.

Rejection of Federal Guidance by Southern US States and Projected Consequences for Ending the HIV Epidemic

Evidence-based HIV programming focused on populations at risk of HIV is critical for sustainable disease prevention. In response to the Tennessee Department of Health decision to reject federal HIV guidance, the present study examines the potential impact of Southern US states adopting policies that direct HIV prevention and testing efforts away from populations "disproportionately affected" (DA) by HIV toward populations "non-disproportionately affected" (NDA). Descriptive and projection analyses with publicly available data explored the influence of policies emphasizing NDA populations on HIV cases. Across the Southern US, DA populations (cisgender women, men who have sex with men, transgender persons, and people who inject drugs) represent the absolute majority (90%) of diagnosed HIV cases, whereas NDA populations (pregnant women, infants, first responders, and human trafficking victims) represent only a small proportion (2%) of diagnosed HIV cases. Estimated projections show avoidable HIV cases among DA populations in the Southern US alone could aggregate to over 32,000 by 2030 if prevention efforts exclusively concentrate on NDA populations, which approximates the current national annual incidence of 36,000 HIV cases. Prevention efforts aimed at DA populations compared with NDA populations could reduce new infections across the Southern US by 47% versus 1%, respectively, by 2030. Policies disregarding epidemiological data may hinder efforts to end the HIV epidemic, both regionally and nationally.

Bridging PrEP access gaps: Mapping geospatial accessibility across the US and leveraging community pharmacies for expansion

BACKGROUND

Pre-exposure prophylaxis (PrEP) is key to ending the US HIV epidemic, but uptake remains low. Federal legislation permitting community pharmacists to initiate PrEP nationwide could expand access to PrEP services.

OBJECTIVES

This study aimed to evaluate census tract-level geospatial access to PrEP facilities and community pharmacies across the US and characterize geographic areas and populations where community pharmacies could help bridge the gap in care.

METHODS

We identified census tracts with limited or no access ("deserts") to PrEP facilities and community pharmacies in 2022 using 2 primary definitions: 1) a tract with no PrEP facilities or pharmacies within a 30-minute drive of the tract centroid; and 2) a tract with low income and low access (no PrEP facilities or pharmacies within one mile of the centroid for low vehicle access tracts, 2 miles in urban tracts, 10 miles in suburban tracts, 20 miles in rural tracts). Tracts with access were "oases," and "PrEP desert, pharmacy oasis" tracts represented areas without PrEP facilities where community pharmacies could expand access. We characterized the social determinants of health associated with desert status and conducted sensitivity analyses exploring additional access definitions.

RESULTS

Of the 82,729 census tracts in our analysis, most were classified as dual PrEP and pharmacy oases. We categorized 13.3% as PrEP deserts under the 30-minute definition, and 94.3% of these tracts were pharmacy oases. Under the low income and low access definition, 17.0% of all tracts were PrEP deserts, 78.2% of which were pharmacy oases. PrEP deserts were predominantly located in the Midwest and South and associated with higher poverty, social vulnerability, and uninsurance.

CONCLUSION

Our analysis confirmed inequitable access to PrEP facilities across the US. Federal recognition of pharmacists as health care providers empowered to initiate PrEP nationwide has the potential to substantially bridge access gaps for underserved communities.

Associations of County-Level Social Determinants of Health with COVID-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National COVID Cohort Collaborative (N3C)

Individually, the COVID-19 and HIV pandemics have differentially impacted minoritized groups due to the role of social determinants of health (SDoH) in the U.S. Little is known how the collision of these two pandemics may have exacerbated adverse health outcomes. We evaluated county-level SDoH and associations with hospitalization after a COVID-19 diagnosis among people with (PWH) and without HIV (PWOH) by racial/ethnic groups. We used the U.S. National COVID Cohort Collaborative (January 2020-November 2023), a nationally-sampled electronic health record repository, to identify adults who were diagnosed with COVID-19 with HIV (n = 22,491) and without HIV (n = 2,220,660). We aggregated SDoH measures at the county-level and categorized racial/ethnic groups as Non-Hispanic (NH) White, NH-Black, Hispanic/Latinx, NH-Asian and Pacific Islander (AAPI), and NH-American Indian or Alaskan Native (AIAN). To estimate associations of county-level SDoH with hospitalization after a COVID-19 diagnosis, we used multilevel, multivariable logistic regressions, calculating adjusted relative risks (aRR) with 95% confidence intervals (95% CI). COVID-19 related hospitalization occurred among 11% of PWH and 7% of PWOH, with the highest proportion among NH-Black PWH (15%). In evaluating county-level SDoH among PWH, we found higher average household size was associated with lower risk of COVID-19 related hospitalization across racial/ethnic groups. Higher mean commute time (aRR: 1.76; 95% CI 1.10-2.62) and higher proportion of adults without health insurance (aRR: 1.40; 95% CI 1.04-1.84) was associated with a higher risk of COVID-19 hospitalization among NH-Black PWH, however, NH-Black PWOH did not demonstrate these associations. Differences by race and ethnicity exist in associations of adverse county-level SDoH with COVID-19 outcomes among people with and without HIV in the U.S.

Disparities in mortality trends of adults with HIV in the USA: A comprehensive examination across 2 decades

Approximately 38 million people worldwide are affected by human immunodeficiency virus (HIV), with 4000 new infections daily. While literature explores HIV mortality among the elderly in the US, there is an underrepresentation of mortality data for adults. By scrutinizing mortality trends based on demographic factors such as gender, race or ethnicity, age groups, and geographic location, the study seeks to uncover patterns that may facilitate a longitudinal perspective for tailoring interventions and allocating resources effectively. Crude death rates and age-adjusted mortality rates (AAMR) per 100,000 individuals were calculated using HIV mortality data (ICD-10 Codes B20-24) from CDC WONDER database. Permutation test was used to calculate annual percentage changes in AAMR with 95% confidence interval. Average annual percentage changes were computed as weighted average of annual percentage changes. Between 1999 to 2020, US adult HIV deaths totaled 225,396 (AAMR: 5.03), with a significantly decreasing average annual percentage changes (-5.94). Males exhibited a 3-fold higher AAMR (7.50) than females (2.67). Non-Hispanic Blacks had the highest AAMR (21.82), while Non-Hispanic Asians had the lowest (0.67). The South and Northeast regions had the highest AAMRs (6.91 and 6.33, respectively). Notably, the District of Columbia had an alarmingly high mortality rate of 39.9, while North Dakota had the lowest (0.7). Urban regions (5.47) had double the mortality rates of rural regions (2.70). Mortality rate peaked in age groups 45 to 54 (8.65) and 35 to 44 (7.42). While overall HIV mortality is declining, disparities persist among demographics. Targeted interventions are crucial to improve preventive measures and healthcare access for disproportionately affected groups.

A Geospatial Analysis of Social and Structural Determinants of Health and High HIV Prevalence in Alabama, USA

OBJECTIVE

This study utilizes geospatial analytic techniques to examine HIV hotspots in Alabama leveraging Medicaid utilization data.

METHODS

This cross-sectional study leveraged Medicaid utilization data from Alabama's 67 counties, averaging 9,861 Medicaid recipients aged > 18 years old per county. We used Alabama Medicaid administrative claims data from January 1, 2016, to December 31, 2020, to identify individuals with HIV. Using Microsoft SQL Server, we obtained the average annual count of HIV Medicaid claims in each of the 67 Alabama counties (numerator) and the number of adult Medicaid recipients in each county (denominator), and standardized with a multiplier of 100,000. We also examined several other area-level summary variables (e.g., non-high school completion, income greater than four times the federal poverty level, social associations, urbanicity/rurality) as social and structural determinants of health. County-boundary choropleth maps were created representing the geographic distribution of HIV rates per 100,000 adult Medicaid recipients in Alabama. Leveraging ESRI ArcGIS and local indicators of spatial association (LISA), results were examined using local Moran's I to identify geographic hotspots.

RESULTS

Eleven counties had HIV rates higher than 100 per 100,000. Three were hotspots. Being an HIV hotspot was significantly associated with relatively low educational attainment and less severe poverty than other areas in the state.

CONCLUSIONS

Findings suggesting that the HIV clusters in Alabama were categorized by significantly less severe poverty and lower educational attainment can aid ongoing efforts to strategically target resources and end the HIV epidemic in U.S.' Deep South.

Neighborhood-level characteristics as effect modifiers on the efficacy of the MyPEEPS mobile intervention in same-sex attracted adolescent men

To estimate the effect of neighborhood-level modification on the efficacy of the MyPEEPS Mobile intervention on the reduction of condomless anal sex acts among same-sex attracted adolescent men. A series of generalized linear mixed model was used to examine if the effect of the MyPEEPS Mobile intervention on condomless anal sex acts was moderated by neighborhood-level factors using data from the 2019 American Community Survey US Census Bureau. "The magnitudes of intervention were significantly smaller at both 6- and 9-month follow-up among adolescents living in neighborhood with high proportions of Hispanic or Latino residents (IRR6M = 1.02, 95 % CI: 1.01, 1.02; IRR9M = 1.03, 95 % CI: 1.01, 1.05) and high proportions of families with income below the poverty level (IRR6M = 1.07, 95 % CI: 1.01, 1.12; IRR9M = 1.05, 95 % CI: 1.01, 1.10), which indicated that living in communities with a higher concentration of residents living under poverty or of Hispanic/and Latino ethnicity significantly modified the effective of program intervention on condomless sex among adolescent MSM. Understanding how neighborhood characteristics modify the effect of HIV prevention interventions may be useful in better targeting delivery and tailoring content of interventions based on neighborhood level characteristics such as the ones identified in this study.

Prevalence of HIV in slums area: a systematic review and meta-analysis

BACKGROUND

Human Immunodeficiency Virus (HIV) remains a significant global health burden, particularly affecting vulnerable populations residing in slum areas which is characterized by overcrowding, poverty, and limited access to healthcare services, create an environment conducive to the transmission and spread of HIV. Despite the recognition of this issue, there is a lack of comprehensive understanding regarding the prevalence of HIV in slums. The aim of this study was to systematically synthesize the existing global evidence on HIV prevalence in slum populations.

METHODS

A rigorous systematic literature review was conducted by searching multiple electronic databases, including Medline via PubMed, Scopus, Embase, Web of Sciences, and Directory of Open Access Journals (DOAJ), covering the period from January 1, 1990, to March 31, 2023. The quality and risk of bias for each included study were assessed using the Newcastle-Ottawa Scale. The pooled prevalence with its corresponding 95% confidence interval (CI) was calculated using a random-effects model with the Freeman-Tukey double arcsine transformation. The degree of heterogeneity among the studies was evaluated using the I2 test. Publication bias was also assessed using Egger's test. Additionally, subgroup analysis was performed to explore potential factors contributing to the observed heterogeneity.

RESULTS

A systematic examination of the relevant literature resulted in the inclusion of a total of 22 studies for the purpose of this meta-analysis. These studies collectively assessed a sizable cohort consisting of 52,802 participants. Utilizing a random-effects model, an estimation of the overall prevalence of HIV in the slum area was determined to be 10% (95% CI: 7-13%). Further delineation through subgroup analysis based on the gender revealed a higher prevalence of HIV among women, standing at 13% (95% CI: 8-19%, 18 studies: I2 = 98%), as opposed to men, where the prevalence was found to be 8% (95% CI: 6-12%, 16 studies: I2 = 95%). A geographical breakdown of the included studies revealed that Africa exhibited the highest prevalence, with a figure of 11% (95% CI: 9-13%, 18 studies: I2 = 98%). Subsequently, studies conducted in the American continent reported a prevalence of 9% (95% CI: 7-11%, 2 studies: I2 = 57%). The Asian continent, on the other hand, displayed the lowest prevalence of 1% (95% CI: 0-3%, 2 studies: I2 = 94%). Notably, studies employing rapid tests indicated a prevalence of 13% (95% CI: 9-17%, 6 studies: I2 = 94%), while those relying on self-reported data reported a lower prevalence of 8% (95% CI: 5-11%, 6 studies: I2 = 99%). Moreover, studies utilizing ELISA reported a prevalence of 9% (95% CI: 6-12%, 10 studies: I2 = 96%). Finally, it was determined that studies conducted in upper-middle-income countries reported a higher prevalence of 20% (95% CI: 16-24%, 5 studies: I2 = 45%), whereas studies conducted in lower- and middle-income countries reported a prevalence of 8% (95% CI: 6-10%, 12 studies: I2 = 98%).

CONCLUSION

The current study elucidates the troublingly high prevalence of HIV infection within slums area. Also, this finding underscores the urgent necessity for targeted and tailored interventions specifically aimed at curtailing the spread of HIV within slums. Policymakers must take cognizance of these results and devote their efforts towards the implementation of effective strategies to mitigate gender disparities, address poverty alleviation, and empower the inhabitants of these marginalized areas.

Understanding why racial/ethnic inequities along the HIV care continuum persist in the United States: a qualitative exploration of systemic barriers from the perspectives of African American/Black and Latino persons living with HIV

BACKGROUND

Racial/ethnic inequities along the HIV care continuum persist in the United States despite substantial federal investment. Numerous studies highlight individual and social-level impediments in HIV, but fewer foreground systemic barriers. The present qualitative study sought to uncover and describe systemic barriers to the HIV care continuum from the perspectives of African American/Black and Latino persons living with HIV (PLWH) with unsuppressed HIV viral load, including how barriers operated and their effects.

METHODS

Participants were African American/Black and Latino PLWH with unsuppressed HIV viral load (N = 41). They were purposively sampled for maximum variability on key indices from a larger study. They engaged in semi-structured in-depth interviews that were audio-recorded and professionally transcribed. Data were analyzed using directed content analysis.

RESULTS

Participants were 49 years old, on average (SD = 9), 76% were assigned male sex at birth, 83% were African American/Black and 17% Latino, 34% were sexual minorities (i.e., non-heterosexual), and 22% were transgender/gender-nonbinary. All had indications of chronic poverty. Participants had been diagnosed with HIV 19 years prior to the study, on average (SD = 9). The majority (76%) had taken HIV medication in the six weeks before enrollment, but at levels insufficient to reach HIV viral suppression. Findings underscored a primary theme describing chronic poverty as a fundamental cause of poor engagement. Related subthemes were: negative aspects of congregate versus private housing settings (e.g., triggering substance use and social isolation); generally positive experiences with health care providers, although structural and cultural competency appeared insufficient and managing health care systems was difficult; pharmacies illegally purchased HIV medication from PLWH; and COVID-19 exacerbated barriers. Participants described mitigation strategies and evidenced resilience.

CONCLUSIONS

To reduce racial/ethnic inequities and end the HIV epidemic, it is necessary to understand African American/Black and Latino PLWH's perspectives on the systemic impediments they experience throughout the HIV care continuum. This study uncovers and describes a number of salient barriers and how they operate, including unexpected findings regarding drug diversion and negative aspects of congregate housing. There is growing awareness that systemic racism is a core determinant of systemic barriers to HIV care continuum engagement. Findings are interpreted in this context.

Implementing Geospatial Science and Technology to Get to Zero New HIV Infections

PURPOSE OF REVIEW

Tremendous advancements have been made in HIV treatment and prevention during the last 40 years that zero new HIV cases has become an attainable goal declared by international agencies. However, new cases of HIV infection persist.

RECENT FINDINGS

The emerging field of geospatial science is positioned to play key role in the reduction of continued HIV incidence through technology-driven interventions and innovative research that gives insights into at-risk populations. As these methods become more utilized, findings consistently show the important role of location and environment plays in HIV incidence and treatment adherence. This includes distance to HIV provider, locations of where HIV transmissions occurs compared to where people with HIV reside, and how geospatial technology has been leveraged to identify unique insights among varying groups of those at increased risk for HIV, among others. Given these insights, leveraging geospatial technology would play a prominent role in achieving zero new cases of HIV infections.

Income and rural-urban status moderate the association between income inequality and life expectancy in US census tracts

BACKGROUND

A preponderance of evidence suggests that higher income inequality is associated with poorer population health, yet recent research suggests that this association may vary based on other social determinants, such as socioeconomic status (SES) and other geographic factors, such as rural-urban status. The objective of this empirical study was to assess the potential for SES and rural-urban status to moderate the association between income inequality and life expectancy (LE) at the census-tract level.

METHODS

Census-tract LE values for 2010-2015 were abstracted from the US Small-area Life Expectancy Estimates Project and linked by census tract to Gini index, a summary measure of income inequality, median household income, and population density for all US census tracts with non-zero populations (n = 66,857). Partial correlation and multivariable linear regression modeling was used to examine the association between Gini index and LE using stratification by median household income and interaction terms to assess statistical significance.

RESULTS

In the four lowest quintiles of income in the four most rural quintiles of census tracts, the associations between LE and Gini index were significant and negative (p between < 0.001 and 0.021). In contrast, the associations between LE and Gini index were significant and positive for the census tracts in the highest income quintiles, regardless of rural-urban status.

CONCLUSION

The magnitude and direction of the association between income inequality and population health depend upon area-level income and, to a lesser extent, on rural-urban status. The rationale behind these unexpected findings remains unclear. Further research is needed to understand the mechanisms driving these patterns.

HIV testing during pregnancy among women with a recent live birth-Seven US States, 2016-2019

BACKGROUND

Although the United States has made progress in reducing the transmission of HIV from mother-to-child, it has not yet met the goal of reducing such transmissions to 70%. Self-reported HIV testing varied by state of residence. Approximately, two in three women reported that their health care provider asked them about HIV testing during prenatal care, and 82.3% of those asked reported receipt of a test.

OBJECTIVES

The aim of this study was (1) to examine the prevalence of receipt of an HIV test during pregnancy and (2) to examine differences in HIV testing during pregnancy by race/ethnicity, state of residence, and other sociodemographic characteristics.

DESIGN

Population-based surveillance of women with a recent live birth from seven US states. Individuals were sampled from birth certificate records 2-6 months postpartum and surveyed about their behaviors and experiences before, during, and shortly after pregnancy.

METHODS

Data from the Pregnancy Risk Assessment Monitoring System, a large, population-based survey, were used to estimate the prevalence of HIV testing during pregnancy during 2016-2019. Weighted prevalence estimates and 95% confidence intervals were calculated overall and by demographic and other selected characteristics.

RESULTS

Approximately two-thirds of women (66.1%) self-reported having a test for HIV during pregnancy. Prevalence varied by maternal characteristics and was highest among women who were non-Hispanic Black (80.7%) and among women who were aged ⩽ 24 years, had a high school education or less, were unmarried, or had Medicaid or no insurance for prenatal care (each > 70%). Self-reported HIV testing varied by state of residence. Approximately two in three women reported that their health care provider asked them about HIV testing during prenatal care, and 82.3% of those asked reported receipt of a test.

CONCLUSION

About one in three Pregnancy Risk Assessment Monitoring System respondents did not report an HIV test during pregnancy. Health care providers can help educate pregnant patients about the importance of HIV testing and ensure universal testing to help identify individuals needing treatment and reduce the rates of mother-to-child HIV transmission.

Using the Positive Peers Mobile App to Improve Clinical Outcomes for Young People With HIV: Prospective Observational Cohort Comparison

BACKGROUND

Disparities in HIV outcomes persist among racial, gender, and sexual minorities in the United States. Younger people face a greater risk of contracting HIV, often living without knowledge of their HIV status for long periods. The Positive Peers App (PPA) is a multifunctional HIV support tool designed to improve HIV-related clinical outcomes for young people with HIV. The app was designed according to the specifications of an in-care young adult HIV community in Northeast Ohio. Data provided in this study provide preliminary evidence of the usefulness of PPA as a relevant tool for engaging this clinical patient population in care and facilitating viral suppression.

OBJECTIVE

In this study, we aimed to describe variations in PPA use and examine the associations between use and HIV clinical outcomes between self-selected user and nonuser cohorts in the same clinical population.

METHODS

The PPA was offered free of charge to persons with HIV, aged 13 to 34 years of age, diagnosed with HIV within the last 12 months, out of care for 6 months during the last 24 months, or not virally suppressed (HIV viral load >200 copies/mL) in the prior 24 months. Baseline and 6- and 12-month surveys were administered via an audio computer-assisted self-interviewing system to all participants. The app's user activity was tracked natively by the app and stored in a secure server. Participant demographic and HIV care data were extracted from clinical records within 12 months before the start of the study and across the duration of the study period. HIV care outcomes of PPA users (n=114) were compared with those of nonusers (n=145) at the end of the study period (n=259).

RESULTS

The analysis showed that younger PPA users (aged 13-24 years) were more likely to obtain HIV laboratories (adjusted odds ratio 2.85, 95% CI 1.03-7.90) and achieve sustained viral suppression than nonusers (adjusted odds ratio 4.2, 95% CI 1.2-13.9).

CONCLUSIONS

The PPA appears to help younger users sustain HIV suppression. The app offers an important tool for addressing this critical population. The PPA remains in the field and is currently being adopted by other localities to facilitate their efforts to end the HIV epidemic. Although our reported observational results require additional validation and stringent ongoing surveillance, the results represent our best efforts in a pilot study to provide a measure of efficacy for the PPA. Next steps include a large-scale evaluation of the PPA acceptability and effectiveness. Given the building evidence of user reports and outcomes, the freely available PPA could be a helpful tool for achieving Ending the HIV Epidemic goals.

Effect of Social Determinants of Health on Uncontrolled Human Immunodeficiency Virus (HIV) Infection Among Persons With HIV in San Francisco, California

Background

In 2010-2014, the San Francisco Department of Public Health (SFDPH) established programs to rapidly link people with human immunodeficiency virus (PWH) to care and offer antiretroviral therapy (ART) at human immunodeficiency virus (HIV) diagnosis. Such programs reduced the number of PWH out of care or with detectable HIV viral load (ie, uncontrolled HIV infection). We investigated the role of social determinants of health (SDH) on uncontrolled HIV.

Methods

Cross-sectional data from adult PWH diagnosed and reported to the SFDPH as of December 31, 2019, prescribed ART, and with confirmed San Francisco residency during 2017-2019 were analyzed in conjunction with SDH metrics derived from the American Community Survey 2015-2019. We focused on 5 census tract-level SDH metrics: percentage of residents below the federal poverty level, with less than a high school diploma, or uninsured; median household income; and Gini index. We compared uncontrolled HIV prevalence odds ratios (PORs) across quartiles of each metric independently using logistic regression models.

Results

The analysis included 7486 PWH (6889 controlled HIV; 597 uncontrolled HIV). Unadjusted PORs of uncontrolled HIV rose with increasingly marginalized quartiles, compared to the least marginalized quartile for each metric. Adjusting for demographics and transmission category, the POR for uncontrolled HIV for PWH in the most marginalized quartile remained significant across metrics for poverty (POR = 2.0; confidence interval [CI] = 1.5-2.6), education (POR = 2.4; CI = 1.8-3.2), insurance (POR = 1.8; CI = 1.3-2.5), income (POR = 1.8; CI = 1.4-2.3), and income inequality (POR = 1.5; CI = 1.1-2.0).

Conclusions

Beyond demographics, SDH differentially affected the ability of PWH to control HIV. Despite established care programs, PWH experiencing socioeconomic marginalization require additional support to achieve health outcome goals.

Geographic Differences in Reaching Selected National HIV Strategic Targets Among People With Diagnosed HIV: 16 US States and Puerto Rico, 2017-2020

Objectives. To assess geographic differences in reaching national targets for viral suppression, homelessness, and HIV-related stigma among people with HIV and key factors associated with these targets. Methods. We used data from the Medical Monitoring Project (2017-2020) and the National HIV Surveillance System (2019) to report estimates nationally and for 17 US jurisdictions. Results. Viral suppression (range = 55.3%-74.7%) and estimates for homelessness (range = 3.6%-11.9%) and HIV-related stigma (range for median score = 27.5-34.4) varied widely by jurisdiction. No jurisdiction met any of the national 2025 targets, except for Puerto Rico, which exceeded the target for homelessness (3.6% vs 4.6%). Viral suppression and antiretroviral therapy dose adherence were lowest, and certain social determinants of health (i.e., housing instability, HIV-related stigma, and HIV health care discrimination) were highest in Midwestern states. Conclusions. Jurisdictions have room for improvement in reaching the national 2025 targets for ending the HIV epidemic and in addressing other measures associated with adverse HIV outcomes-especially in the Midwest. Working with local partners will help jurisdictions determine a tailored approach for addressing barriers to meeting national targets. (Am J Public Health. Published online ahead of print June 2, 2022: e1-e9. https://doi.org/10.2105/AJPH.2022.306843).

Social Determinants of Disease: HIV and COVID-19 Experiences

PURPOSE OF REVIEW

The differential impact of the COVID-19 and HIV pandemics on marginalized communities has renewed calls for more robust and deeper investigation into structural and social causes of health inequities contributing to these infections, including underlying factors related to systematic racism. Using the Social Determinants of Health (SDOH) framework, we analyzed parallel and divergent factors associated with COVID-19 and HIV/AIDS and the prevalence of disparate disease in diverse communities. We utilized PRISMA guidelines to identify relevant literature (N = 210 articles) that resulted in a review of 125 articles included in our synthesis.

RECENT FINDINGS

With racial health inequities as a core contributor to disease vulnerability, we also identified other factors such as economic stability, social and community support, the neighborhood and built environment, healthcare access and quality, and education access and quality as important socioecological considerations toward achieving health equity. Our review identifies structural and systematic factors that drive HIV and COVID-19 transmission. Our review highlights the importance of not solely focusing on biomedical interventions as solutions to ending HIV and COVID-19, but rather call for building a more just public health and social service safety net that meets the needs of people at the intersection of multiple vulnerabilities.

Improved PrEP Awareness and Use among Trans Women in San Francisco, California

Transgender women face a serious risk of HIV infection. Despite this, there is limited knowledge and use of Pre-exposure prophylaxis (PrEP). We measured the continuity of prevention across services in the PrEP cascade and correlates of PrEP use among trans women in San Francisco enrolled in the 2019/20 National HIV Behavioral Surveillance Study. Knowledge and use of PrEP among trans women in San Francisco increased in recent years; almost all (94.0%) had heard about PrEP, 64.7% had discussed PrEP with a healthcare provider, and 44.8% had taken PrEP in the past 12 months. PrEP use was associated with participation in a PrEP demonstration project (aOR = 31.44, p = 0.001) and condomless receptive anal intercourse (aOR = 3.63, p = 0.024). Injection drug use was negatively associated (aOR = 0.19, p = 0.014). Efforts are needed to combat the gender-based stigma and discrimination faced by trans women, which can result in avoidance and mistrust of the medical system.