Individual, community, and structural factors associated with linkage to HIV care among people diagnosed with HIV in Tennessee

Social needs and hospital readmission in persons living with HIV

Health-related social needs (HRSN) significantly influence healthcare utilization and outcomes. While prior studies have shown higher rates of hospital readmissions among individuals with HRSN, the impact of HRSN on hospital readmissions in persons living with HIV (PLWH) at population level, using ICD10 codes for HRSN in hospital discharge data, has not been fully explored. In this retrospective study using the 2016-2019 Florida and Maryland State Inpatient Database (SID), we examined the prevalence of HRSN among hospitalized PLWH using ICD-10 diagnosis codes including the domains of employment, family, housing, psychosocial, and education. In addition to descriptive analysis, we used multivariable logistic regression models to evaluate the association between hospital readmission and the presence of HRSN, controlling for potential confounders. In Florida, we identified 43,229 PLWH patients, of whom 9.6% (4,153) had HRSN. PLWH with HRSN had a significantly higher 90-day (40.6% vs. 23.1%) and one-year (73.6% vs. 41.3%) readmission rates compared with those without HRSN. Multivariable regression analysis showed that patients with HRSN had nearly three times the odds of 90-day readmission [adjusted odds ratio (aOR): 2.80 (95% confidence interval (CI): 2.61-3.01)] and four times the odds of one-year readmission [aOR: 3.93(95% CI: 3.62-4.27)]. In the Maryland SID, 12.5% (1,551) of the 12,396 PLWH had HRSN. PLWH with documented HRSN had a significantly higher 90-day (39.9% vs. 20.4%) and one-year (68.2% vs. 37.9%) readmission rates than those without HRSN. In multivariable regression analysis, HRSN were similarly associated with substantially higher odds of 90-day readmission [aOR: 2.70(95% CI: 2.38-3.05)] and one-year readmission [aOR: 3.60(95% CI: 3.15-4.12)]. In both states, there was a dose-response relationship between the number of HRSN and readmission rates. In conclusion, the prevalence of HRSN is associated with significantly higher rates of hospital readmissions among PLWH. Our findings highlight the importance of accounting for social factors when studying hospital readmissions and call for the development of interventions targeting HRSN to reduce readmissions in PLWH.

Temporal Changes in Racial Disparities of HIV Linkage to Care from 2013 to 2020: A Statewide Cohort Analysis

BACKGROUND

Racial disparities have historically existed regarding HIV care outcomes, including linkage to care. This study aims to explore the contribution of contextual features (e.g., socioeconomic and structural environmental factors) to the temporal change of county-level racial disparities in linkage to care.

METHODS

This is a statewide population-based retrospective cohort study. The patient-level variables in the South Carolina HIV registry system were used to calculate the aggregated county-level linkage to care percentage. Then, we used four indices to measure racial disparities in the county-level percentage of timely linkage to care, i.e., the Black-White ratio, index of disparity (ID), weighted ID, and Gini coefficient. Linear mixed-effect models were used to estimate the relationship between a variety of contextual features and disparity indexes. The analysis included data from 2013 to 2020, with 2013 as the start year due to the availability of key contextual features and 2020 as the end year based on the most recent HIV registry data available at the time of this study.

RESULTS

Across 46 counties in South Carolina, racial disparity in linkage to care persisted between 2013 and 2020, as indicated by all four indices. When using ID, weighted ID, and Gini as outcomes, counties with lower degrees of racial residential segregation and stronger family structure were at higher risk of racial disparities in linkage to care. For weighted ID only, counties with fewer primary care providers (β =  - 4.22; 95% CI, - 7.23 ~ 1.23) had larger racial disparities in linkage to care. Furthermore, for Gini only, counties with higher income inequalities (β = 0.01; 95% CI, 0.00 ~ 0.02) had larger racial disparities in linkage to care.

CONCLUSION

Efforts to address racial disparities should continue, and innovative approaches, specifically those that focus on social and structural factors, should be developed and implemented for populations that have poor HIV outcomes in the USA.

Projecting the Potential Clinical and Economic Impact of HIV Prevention Resource Reallocation in Tennessee

BACKGROUND

In 2023, Tennessee replaced $6.2 M in US Centers for Disease Control and Prevention (CDC) human immunodeficiency virus (HIV) prevention funding with state funds to redirect support away from men who have sex with men (MSM), transgender women (TGW), and heterosexual Black women (HSBW) and to prioritize instead first responders (FR), pregnant people (PP), and survivors of sex trafficking (SST).

METHODS

We used a simulation model of HIV disease to compare the clinical impact of Current, the present allocation of condoms, preexposure prophylaxis (PrEP), and HIV testing to CDC priority risk groups (MSM/TGW/HSBW); with Reallocation, funding instead increased HIV testing and linkage of Tennessee-determined priority populations (FR/PP/SST). Key model inputs included baseline condom use (45%-49%), PrEP provision (0.1%-8%), HIV testing frequency (every 2.5-4.8 years), and 30-day HIV care linkage (57%-65%). We assumed Reallocation would reduce condom use (-4%), PrEP provision (-26%), and HIV testing (-47%) in MSM/TGW/HSBW, whereas it would increase HIV testing among FR (+47%) and HIV care linkage (to 100%/90%) among PP/SST.

RESULTS

Reallocation would lead to 166 additional HIV transmissions, 190 additional deaths, and 843 life-years lost over 10 years. HIV testing reductions were most influential in sensitivity analysis; even a 24% reduction would result in 287 more deaths compared to Current. With pessimistic assumptions, we projected 1359 additional HIV transmissions, 712 additional deaths, and 2778 life-years lost over 10 years.

CONCLUSIONS

Redirecting HIV prevention funding in Tennessee would greatly harm CDC priority populations while conferring minimal benefits to new priority populations.

Characterizing residential mobility among people with HIV in Tennessee and its impact on HIV care outcomes

OBJECTIVE

Our objective was to assess the prevalence and patterns of mobility among people with HIV (PWH) in Tennessee and its impact on HIV care outcomes.

DESIGN

Retrospective cohort study.

METHODS

We combined residential address and HIV surveillance data from PWH in Tennessee from 2016 to 2018. Using Poisson regression, we estimated associations between in-state mobility (change in address or total miles moved) in 1 year and outcomes in the subsequent year; retention: having two CD4 + /HIV RNA values (labs) in a calendar year at least 3 months apart, loss to follow-up (LTFU): having labs at baseline but not the subsequent year, and viral suppression: HIV RNA less than 200 copies/ml. We applied a kernel density estimator to origin-destination address lines to visualize mobility patterns across demographic subgroups.

RESULTS

Among 17 428 PWH [median age 45 years (interquartile range; IQR 34-53)], 6564 (38%) had at least one move. Median miles moved was 8.9 (IQR 2.6-143.4)). We observed in-state movement between major cities (Chattanooga, Knoxville, Memphis and Nashville) and out-of-state movement to and from Georgia and Florida. Having at least one in-state move was associated with a decreased likelihood of retention [adjusted relative risk (aRR) = 0.91; 95% confidence interval (CI) 0.88-0.95], and an increased risk of LTFU (aRR = 1.17; 95% CI 1.04-1.31, two to three moves vs. none). Greater distance moved in-state was associated with decreased retention and increased LTFU (aRR = 0.53; 95% CI 0.49-0.58, aRR = 2.52; 95% CI 2.25-2.83, respectively for 1000 vs. 0 miles). There was no association between mobility and viral suppression.

CONCLUSION

Mobility is common among PWH in Tennessee and is associated with initial poor engagement in HIV care.

Multilevel Resilience and HIV Virologic Suppression Among African American/Black Adults in the Southeastern United States

OBJECTIVE

To assess overall and by neighborhood risk environments whether multilevel resilience resources were associated with HIV virologic suppression among African American/Black adults in the Southeastern United States.

SETTING AND METHODS

This clinical cohort sub-study included 436 African American/Black participants enrolled in two parent HIV clinical cohorts. Resilience was assessed using the Multilevel Resilience Resource Measure (MRM) for African American/Black adults living with HIV, where endorsement of a MRM statement indicated agreement that a resilience resource helped a participant continue HIV care despite challenges or was present in a participant's neighborhood. Modified Poisson regression models estimated adjusted prevalence ratios (aPRs) for virologic suppression as a function of categorical MRM scores, controlling for demographic, clinical, and behavioral characteristics at or prior to sub-study enrollment. We assessed for effect measure modification (EMM) by neighborhood risk environments.

RESULTS

Compared to participants with lesser endorsement of multilevel resilience resources, aPRs for virologic suppression among those with greater or moderate endorsement were 1.03 (95% confidence interval: 0.96-1.11) and 1.03 (0.96-1.11), respectively. Regarding multilevel resilience resource endorsement, there was no strong evidence for EMM by levels of neighborhood risk environments.

CONCLUSIONS

Modest positive associations between higher multilevel resilience resource endorsement and virologic suppression were at times most compatible with the data. However, null findings were also compatible. There was no strong evidence for EMM concerning multilevel resilience resource endorsement, which could have been due to random error. Prospective studies assessing EMM by levels of the neighborhood risk environment with larger sample sizes are needed.

Projected Life Expectancy Gains From Improvements in HIV Care in Black and White Men Who Have Sex With Men

Importance

Substantial racial inequities exist across the HIV care continuum between non-Hispanic Black and White men who have sex with men (MSM) in the US.

Objectives

To project years of life gained (YLG) with improving the HIV care continuum among Black MSM and White MSM in the US and to determine the outcomes of achieving health equity goals.

Design, Setting, and Participants

The Cost-Effectiveness of Preventing AIDS Complications microsimulation model was used and populated with 2021 race-specific data to simulate HIV care among Black MSM and White MSM in the US who have acquired HIV. Analyses were completed from July 2021 to October 2023.

Intervention

The study simulated status quo care using race-specific estimates: age at infection, time to diagnosis, receipt of care, and virologic suppression. The study next projected the outcomes of attaining equity-centered vs non-equity-centered goals by simulating 2 equal improvements in care goals: (10-point increased receipt of care and 5-point increased virologic suppression), 3 equity-centered goals (annual HIV testing, 95% receiving HIV care, and 95% virologic suppression) and lastly, an equitable care continuum that achieves annual HIV testing, 95% receiving care, and 95% virologic suppression in Black MSM and White MSM. One-way and multiway sensitivity and scenario analyses were conducted.

Main Outcomes and Measures

Mean age at death and YLG.

Results

In the simulated cohort, the mean (SD) age at HIV infection was 27.0 (10.8) years for Black MSM and 35.5 (13.6) years for White MSM. In status quo, mean age at death would be 68.8 years for Black MSM and 75.6 years for White MSM. The equal improvements in care goals would result in 0.5 YLG for Black MSM and 0.5 to 0.9 YLG for White MSM. Achieving any 1 equity-centered goal would result in 0.5 to 1.7 YLG for Black MSM and 0.4 to 1.3 YLG for White MSM. With an equitable care continuum compared with the nationally reported status quo, Black MSM and White MSM would gain 3.5 and 2.1 life-years, respectively. If the status quo HIV testing was every 6 years with 75% retained in care and 75% virologically suppressed, Black MSM would gain 4.2 life-years with an equitable care continuum.

Conclusions and Relevance

In this simulation modeling study of HIV care goals, equal improvements in HIV care for Black and White MSM maintained or worsened inequities. These results suggest that equity-centered goals for the HIV care continuum are critical to mitigate long-standing inequities in HIV outcomes.

Medical-legal partnerships: An integrated approach to advance health equity and improve health outcomes for people living with HIV

Medical Legal Partnerships (MLPs) offer a structural integrated intervention that could facilitate improvements in medical and psychosocial outcomes among people living with HIV (PLWH). Through legal aid, MLPs can ensure that patients are able to access HIV services in a culturally sensitive environment. We conducted organizational-level qualitative research rooted in grounded theory, consisting of key informant interviews with MLP providers (n = 19) and members of the Scientific Collaborative Board (SCB; n = 4), site visits to agencies with MLPs (n = 3), and meetings (n = 4) with members of the SCB. Four common themes were identified: (1) availability and accessibility of legal and social services support suggest improvements in health outcomes for PLWH; (2) observations and experiences reveal that MLPs have a positive impact on PLWH; (3) 3 intersecting continua of care exist within MLPs: HIV care continuum; legal continuum of care; and social services continuum; and (4) engagement in care through an MLP increases patient engagement and community participation. The MLP approach as a structural intervention has the potential to alleviate barriers to HIV/AIDS treatment and care and thus dramatically improve health outcomes among PLWH.

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.