HIV Testing, Access to HIV-Related Services, and Late-Stage HIV Diagnoses Across US States, 2013-2016

Measuring Spatial Access of Vulnerable Population to HIV Testing Facilities in the Baton Rouge Metropolitan Statistical Area, Louisiana

Ensuring adequate and equitable access to affordable HIV testing is a crucial step toward ending the HIV epidemic (EHE). Using the high-burden Baton Rouge Metropolitan Statistical Area (MSA) as an example, we measure spatial access to HIV testing facilities for vulnerable populations and assess whether their access would improve if eliminating a considerable barrier-costs. Locations and status (free, low-cost, and full cost) of HIV testing facilities are searched on the Internet and confirmed through a field survey. Vulnerable populations include the uninsured and people living with HIV (PLWH), disaggregated from county-level HIV prevalence data. Spatial access is computed by a normalized urban-rural two-step floating catchment area (NUR2SFCA) method. Our survey confirms that only 11% and 37% of the 103 Internet-searched HIV testing facilities are indeed free and low-cost. Making more facilities cheaper or free increases the average access of PLWH, the uninsured, and the entire population but their geographic patterns vary. Free testing facilities, clustered in Baton Rouge city, are highly accessible to 82.6%, 69.4%, and 70.2% of three population groups living in East and West Baton Rouge Parish. In comparison, making all low-cost facilities free increases access in most outlying parishes but at the cost of reducing access in East Baton Rouge Parish, leaving west Livingston, north Iberville, and east Pointe Coupee Parish with the poorest access. Making all full-cost facilities cheaper or free exhibits a similar pattern. The study has important policy implications for where and how to improve access to HIV testing for vulnerable populations.

Geographic disparities in late HIV diagnoses in Tennessee: Opportunities for interventions in the rural Southeast

PURPOSE

Incident HIV remains an important public health issue in the US South, the region leading the nation in HIV incidence, rural HIV cases, and HIV-related deaths. Late diagnoses drive incident HIV and understanding factors driving late diagnoses is critical for developing locally relevant HIV testing and prevention interventions, decreasing HIV transmission, and ending the HIV epidemic.

METHODS

Retrospective cohort study utilizing Tennessee Department of Health (TDH) surveillance data and US Census Bureau data. Adults of ≥18-year old with a new HIV diagnosis between January 1, 2015 and December 31, 2019 identified in the TDH electronic HIV/AIDS Reporting System were included. Individuals were followed from initial HIV diagnosis until death, 90 days of follow-up for outcome assessment, or administrative censoring 90 days after study enrollment closed.

FINDINGS

We included 3652 newly HIV-diagnosed individuals; median age was 31 years (IQR: 25, 42), 2909 (79.7%) were male, 2057 (56.3%) were Black, 246 (6.7%) were Hispanic, 408 (11.2%) were residing in majority-rural areas at diagnosis, and 642 (17.6%) individuals received a late HIV diagnosis. Residents of majority-rural counties (adjusted risk ratios [aRR] = 1.39, 95% confidence intervals [CI]: 1.16-1.67) and Hispanic individuals (aRR = 1.87, 95% CI: 1.50-2.33) had an increased likelihood of receiving a late diagnosis after controlling for race/ethnicity, age, and year of HIV diagnosis.

CONCLUSIONS

Rural residence and Hispanic ethnicity were associated with an increased risk of receiving a late HIV diagnosis in Tennessee. Future HIV testing and prevention efforts should be adapted to the needs of these vulnerable populations.

A Systematic Review and Meta-analysis to Estimate the Time from HIV Infection to Diagnosis for People with HIV

Timely HIV diagnosis is critical to minimizing transmission events. We sought to estimate the meantime from HIV infection to diagnosis and its temporal trend among people with HIV. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a search of MEDLINE, Embase, and Google Scholar, supplemented by a hand search of bibliographies of articles, was conducted. Study information and outcome measures of time from HIV infection to diagnosis were synthesized. Random-effects metaanalyses were performed. The search identified 12 articles from 4541 unduplicated citations. Studies were conducted in the UK (k = 3), US (k = 3), France (k = 2), Australia (k = 1), Switzerland (k = 1), Netherlands (k = 1), and China (k = 1). The pooled meantime from HIV infection to diagnosis was 3.00 years (95% confidence interval: 2.16-3.84). From 1996 to 2002, meantime reduced from 4.68 to 2.66 years. Subsequently, it increased to 3.20 years in 2003 and remained relatively stable until 2015. In sub-group meta-analyses, men who have sex with men (MSM) had a meantime of 2.62 years (1.91-3.34), while for heterosexuals and people who inject drugs, it was 5.00 (4.15-5.86) and 4.98 (3.97-5.98) years, respectively. In the high- and upper-middle-income countries included in this study, persons live with undiagnosed HIV for about 3 year before being diagnosed. This period is shorter for MSM relative to people with infections attributable to other risk factors.

Community-Based, Rapid HIV Screening and Pre-Exposure Prophylaxis Initiation: Findings From a Pilot Program

Objective

Many individuals do not have regular access to medical care and preventative health services, suggesting the need for alternative access to HIV testing and pre-exposure prophylaxis (PrEP). The purpose of this study is to describe a novel, community-based HIV screening, a PrEP initiation program, and report preliminary findings.

Methods

One Tent Health, a 501(c)(3) nonprofit organization, launched a pop-up HIV screening and PrEP initiation program in high-risk areas of Washington, DC in 2017. We describe the unique features of the program and report 25 months of screening, risk assessment, and PrEP education data. Odds ratios were calculated to identify disparities in both HIV risk factors and prior HIV testing.

Results

Between October 2017 and November 2019, 846 individuals underwent HIV screening. Six individuals (0.709%) screened HIV-positive. Approximately 13% had never been screened for HIV, and another 13% had at least one major risk factor for HIV. Individuals who self-identified as White were more likely to have risk factors (OR 2.19, p = 0.0170) and less likely to have ever been tested (OR 0.50, p = 0.0409). Individuals who self-identified as Black or African American were less likely to have risk factors for HIV (OR 0.57, p = 0.0178). Disparities by sex and gender were also observed.

Conclusions

This program appears to be the first of its kind within the United States. We found the program to be cost-effective, well-received by the community, and accessible by high-risk and unreached populations while further revealing the role of race and gender in the HIV epidemic.

Time From HIV Infection to Diagnosis in the U.S., 2014-2018

INTRODUCTION

Understanding the role of sociologic, structural, and biomedical factors that influence the length of time from HIV infection to diagnosis and reducing the time from infection to diagnosis are critical for achieving the goals of the Ending the HIV Epidemic initiative. In a retrospective analysis, the length of time from HIV infection to diagnosis and its association with individual- and facility-level attributes are determined.

METHODS

Data reported by December 2019 to the U.S. National HIV Surveillance System for people with HIV diagnosed during 2014-2018 were analyzed during December 2020. A CD4 depletion model was used to estimate the time from HIV infection to diagnosis.

RESULTS

During 2018, the median time from HIV infection to diagnosis was shorter for those infections diagnosed using the rapid testing algorithm (30.3 months, 95% CI=25.5, 34.5) than those diagnosed using the recommended (41.0 months, 95% CI=39.5, 42.0), traditional (37.0 months, 95% CI=29.5, 43.5), or other (35.5 months, 95% CI=32.5, 38.0) diagnostic testing algorithms. From 2014 to 2018, the time from HIV infection to diagnosis remained stable overall for all testing methods except for the traditional diagnostic testing algorithm. In multivariate analyses, those more likely to have HIV diagnosed closer to the time of infection were younger, were White, had transmission risk factors of injection drug use or heterosexual contact (for female individuals) or male-to-male sexual contact and injection drug use, or had HIV diagnosed at a correctional or screening facility (p<0.01).

CONCLUSIONS

Providing access to expanded testing, including rapid testing in nonclinical settings, is likely to result in a decrease in the length of time a person is unaware of their HIV infection and thus reduce onward transmission of HIV infection.

Missed Opportunities for Human Immunodeficiency Virus (HIV) Testing During Injection Drug Use-Related Healthcare Encounters Among a Cohort of Persons Who Inject Drugs With HIV Diagnosed During an Outbreak-Cincinnati/Northern Kentucky, 2017-2018

BACKGROUND

Persons who inject drugs (PWID) have frequent healthcare encounters related to their injection drug use (IDU) but are often not tested for human immunodeficiency virus (HIV). We sought to quantify missed opportunities for HIV testing during an HIV outbreak among PWID.

METHODS

PWID with HIV diagnosed in 5 Cincinnati/Northern Kentucky counties during January 2017-September 2018 who had ≥1 encounter 12 months prior to HIV diagnosis in 1 of 2 Cincinnati/Northern Kentucky area healthcare systems were included in the analysis. HIV testing and encounter data were abstracted from electronic health records. A missed opportunity for HIV testing was defined as an encounter for an IDU-related condition where an HIV test was not performed and had not been performed in the prior 12 months.

RESULTS

Among 109 PWID with HIV diagnosed who had ≥1 healthcare encounter, 75 (68.8%) had ≥1 IDU-related encounters in the 12 months before HIV diagnosis. These 75 PWID had 169 IDU-related encounters of which 86 (50.9%) were missed opportunities for HIV testing and occurred among 46 (42.2%) PWID. Most IDU-related encounters occurred in the emergency department (118/169; 69.8%). Using multivariable generalized estimating equations, HIV testing was more likely in inpatient compared with emergency department encounters (adjusted relative risk [RR], 2.72; 95% confidence interval [CI], 1.70-4.33) and at the healthcare system receiving funding for emergency department HIV testing (adjusted RR, 1.76; 95% CI, 1.10-2.82).

CONCLUSIONS

PWID have frequent IDU-related encounters in emergency departments. Enhanced HIV screening of PWID in these settings can facilitate earlier diagnosis and improve outbreak response.

Using a machine learning approach to explore predictors of healthcare visits as missed opportunities for HIV diagnosis

OBJECTIVES

A significant number of individuals with a new HIV diagnosis are still late presenters despite numerous healthcare encounters prior to HIV diagnosis. We employed a machine learning approach to identify the predictors for the missed opportunities for earlier HIV diagnosis.

METHODS

The cohort comprised of individuals who were diagnosed with HIV in South Carolina from January 2008 to December 2016. Late presenters (LPs) (initial CD4 ≤200 cells/mm3 within one month of HIV diagnosis) with any healthcare visit during three years prior to HIV diagnosis were defined as patients with a missed opportunity. Using least absolute shrinkage and selection operator (LASSO) regression, two prediction models were developed to capture the impact of facility type (model 1) and physician specialty (model 2) of healthcare visits on missed opportunities.

RESULTS

Among 4,725 eligible participants, 72.2% had at least one healthcare visit prior to their HIV diagnosis, with most of the healthcare visits (78.5%) happening in the emergency departments (ED). A total of 1,148 individuals were LPs, resulting in an overall prevalence of 24.3% for the missed opportunities for earlier HIV diagnosis. Common predictors in both models included ED visit, older age, male gender, and alcohol use.

CONCLUSIONS

The findings underscored the need to reinforce the universal HIV testing strategy ED remains an important venue for HIV screening, especially for medically underserved or elder population. An improved and timely HIV screening strategy in clinical settings can be a key for early HIV diagnosis and play an increasingly important role in ending HIV epidemic.

Sustained attention and vigilance deficits associated with HIV and a history of methamphetamine dependence

BACKGROUND

Human immunodeficiency virus (HIV)-associated neurocognitive disorders persist in the era of antiretroviral therapy. One factor that is elevated among persons with HIV (PWH) and independently associated with neurocognitive impairment is methamphetamine dependence (METH). Such dependence may further increase cognitive impairment among PWH, by delaying HIV diagnosis (and thus, antiretroviral therapy initiation), which has been posited to account for persistent cognitive impairment among PWH, despite subsequent treatment-related viral load suppression (VLS; <50 copies of the virus per milliliter in plasma or cerebrospinal fluid). This study examined the main and interactive (additive versus synergistic) effects of HIV and history of METH on the sustained attention and vigilance cognitive domain, while controlling for VLS.

METHODS

Participants included 205 (median age = 44 years; 77% males; HIV-/METH- n = 67; HIV+/METH - n = 49; HIV-/METH+ n = 36; HIV+/METH+ n = 53) individuals enrolled in the Translational Methamphetamine AIDS Research Center, who completed Conners' and the 5-Choice continuous performance tests (CPTs).

RESULTS

METH participants exhibited deficits in sustained attention and vigilance; however, these effects were not significant after excluding participants who had a positive urine toxicology screen for methamphetamine. Controlling for VLS, PWH did not have worse sustained attention and vigilance, but consistently displayed slower reaction times across blocks, relative to HIV- participants. There was no HIV x METH interaction on sustained attention and vigilance.

CONCLUSIONS

Recent methamphetamine use among METH people and detectable viral loads are detrimental to sustained attention and vigilance. These findings highlight the need for prompt diagnosis of HIV and initiation of antiretroviral therapy, and METH use interventions.

County-level factors affecting Latino HIV disparities in the United States

OBJECTIVE

To determine which county-level social, economic, demographic, epidemiologic and access to care factors are associated with Latino/non-Latino White disparities in prevalence of diagnosed HIV infection.

METHODS AND FINDINGS

We used 2016 county-level prevalence rates of diagnosed HIV infection rates for Latinos and non-Latino Whites obtained from the National HIV Surveillance System and factors obtained from multiple publicly available datasets. We used mixed effects Poisson modeling of observed HIV prevalence at the county-level to identify county-level factors that explained homogeneous effects across race/ethnicity and differential effects for Latinos and NL-Whites. Overall, the median Latinos disparity in HIV prevalence is 2.4; 94% of the counties have higher rates for Latinos than non-Latinos, and one-quarter of the counties' disparities exceeded 10. Of the 41 county-level factors examined, 24 showed significant effect modification when examined individually. In multi-variable modeling, 11 county-level factors were found that significantly affected disparities. Factors that increased disparity with higher, compared to lower values included proportion of HIV diagnoses due to injection drug use, percent Latino living in poverty, percent not English proficient, and percent Puerto Rican. Latino disparities increased with decreasing percent severe housing, drug overdose mortality rate, percent rural, female prevalence rate, social association rate, percent change in Latino population, and Latino to NL-White proportion of the population. These factors while significant had minimal effects on diminishing disparity, but did substantially reduce the variance in disparity rates.

CONCLUSIONS

Large differences in HIV prevalence rates persist across almost all counties even after controlling for county-level factors. Counties that are more rural, have fewer Latinos, or have lower NL-White prevalence rates tend to have higher disparities. There is also higher disparity when community risk is low.