BACKGROUND: Approximately 13% of persons with HIV (PWH) are unaware of their status. To help end HIV, it is important to understand the relationship between the rates of HIV testing and undiagnosed HIV infection. SETTING: Ending the HIV in the U.S. (EHE) jurisdictions. METHODS: Using 2021 data from the National HIV Surveillance System and the National HIV Prevention Program Monitoring and Evaluation system, we calculated estimated rates of undiagnosed HIV infections per 100,000 population and rates of CDC-funded HIV tests per 1,000 population. We assessed the association between the two rates using Spearman's rank correlation. We also calculated a rank difference between the two rates for each EHE jurisdiction to help identify jurisdictions with greater unfilled needs for HIV testing. RESULTS: Overall, CDC-funded HIV tests per 1,000 population were positively associated with estimated rate of undiagnosed HIV infection per 100,000 population (rho=0.55, p<0.001). EHE jurisdictions with the greatest magnitude of negative rank differences (i.e., higher undiagnosed HIV infection per 100,000 population and lower CDC-funded HIV tests per 1,000 population) were Prince George's County, MD; Mecklenburg County, NC; Hudson County, NJ; Bronx County, NY, and Hamilton County, OH. CONCLUSIONS: In general, CDC-funded HIV testing is being conducted in jurisdictions with the greatest needs. However, we also found large discrepancies between CDC-funded HIV testing and undiagnosed HIV infection rates for some jurisdictions. These jurisdictions may want to identify barriers to their HIV testing services and expand their programs to ensure that all PWH in their jurisdictions are diagnosed.

We performed an ecological analysis to examine associations between CDC-funded HIV testing services outcomes and social determinants of health (SDOH) among Ending the HIV Epidemic in the U.S. jurisdictions. Using National HIV Prevention Program Monitoring & Evaluation (2020) and American Community Survey (2016-2020) data, we ran robust Poisson models (adjusted for race/ethnicity). In healthcare settings, a 10% absolute increase in percentage without health insurance was associated with a 40% lower prevalence of newly diagnosed positivity (aPR = 0.60, 95% CI: 0.43-0.83); a $5,000 increase in median household income (aPR = 1.04, 95% CI: 1.03-1.06) and a 10% absolute increase in percentage unemployed (aPR = 1.80, 95% CI: 1.31-2.46) were associated with 4% and 80%, respectively, higher prevalence of percentage linked to HIV medical care within 30 days of diagnosis (i.e., linkage). In non-healthcare settings, a 10% absolute increase in percentage with less than high school diploma (aPR = 0.53, 95% CI: 0.29-0.96) was associated with a 47% lower prevalence of newly diagnosed positivity, whereas a 10% absolute increase in percentage without health insurance (aPR = 1.92, 95% CI: 1.29-2.88) was associated with a 92% higher prevalence of newly diagnosed positivity; a 10% absolute increase in percentage with less than high school diploma was associated with a 35% lower prevalence of linkage (aPR = 0.65, 95% CI: 0.43-0.97). Addressing SDOH in HIV prevention programs will play an important role in ending the HIV epidemic.

HIV partner services (HIV PS) is an effective strategy for diagnosing HIV infection. Sex/needle-sharing partners of individuals diagnosed with HIV are notified about potential exposure and offered HIV testing and other services. We assessed the HIV PS contribution to HIV diagnoses in the United States and assessed priority areas for improvements. National HIV Monitoring and Evaluation Partner Services and case surveillance data reported to the Centers for Disease Control and Prevention for 2019 were used for this analysis. The percentage of all new diagnoses that HIV PS programs reported is described nationally and by state. Linkage to HIV medical care among newly diagnosed partners is described. Potential increases in diagnosing HIV infection are assessed by HIV PS step to identify priority areas for improvement. HIV PS contributed 1214 of 35,164 (3.5%) of all diagnoses nationally in 2019, and contributions ranged from 0% to 31.8% by state. Of partners tested with nonmissing data, 22.7% were newly diagnosed. An estimated 1692 new partner diagnoses were lost during HIV PS steps. Steps resulting in the highest losses included index patients not being interviewed, partners not being tested for HIV, and index patients not being located. Seventy-two percent of partners newly diagnosed with HIV were linked to HIV medical care. HIV PS is an effective strategy for diagnosing HIV, and a high percent of sex/needle-sharing partners was newly diagnosed with HIV. Expanded HIV PS in some states and targeted improvements in HIV PS steps can enhance the contribution of HIV PS toward achieving national goals. | eng

BACKGROUND: Organizations offering HIV prevention services have reported interruptions during the COVID-19 pandemic. The national extent of these interruptions and their public health impact remain largely unexplored. METHODS: Using data from 60 state and local health departments, we compared HIV testing services outcomes in calendar years 2019 and 2020, including the number of Centers for Disease Control and Prevention (CDC)-funded HIV tests conducted, the percentage of persons with newly diagnosed HIV infection (ie, HIV positivity), and the percentage linked to HIV medical care within 30 days after new diagnoses (ie, linkage to care) using χ2 and robust Poisson models. We also assessed the independent associations between the pandemic period (ie, March-December 2020) and the number of COVID-19 cases with monthly HIV testing services outcomes using multivariable robust Poisson models. RESULTS: There was a 46.0% (P < 0.001) reduction in the number of CDC-funded HIV tests conducted in 2020 (n = 1,255,895) compared with 2019 (n = 2,324,421). Although there were fewer persons with newly diagnosed HIV in 2020 (n = 5581 vs. n = 7739 in 2019), HIV positivity was greater in 2020 (0.4% vs. 0.3% in 2019; adjusted prevalence ratio [aPR] = 1.33, 95% confidence interval [CI]: 1.05 to 1.69). When adjusting for the monthly number of COVID-19 cases, the pandemic period was associated with a 56% reduction in the number of monthly CDC-funded HIV tests (adjusted rate ratio = 0.44, 95% CI: 0.37 to 0.52) but 28% higher monthly HIV positivity (aPR = 1.28 95% CI: 1.16 to 1.41) and 10% higher linkage to care (aPR = 1.10, 95% CI: 1.02 to 1.18). DISCUSSION: Despite increased HIV positivity, a drastic reduction in the number of CDC-funded HIV tests was observed in 2020, affecting the ability to identify persons with newly diagnosed HIV. CDC and health departments will need to expand testing strategies to cover tests not conducted in 2020 while adapting to the continuing pandemic.A visual abstract is available for this article at: http://links.lww.com/QAI/B941.

Objectives. To estimate gains in the prevalence of individuals who had ever been tested for HIV overall and by subpopulations from increases in the percentage of persons who had a routine checkup and were tested. Methods. We used data from the 2019 Behavioral Risk Factor Surveillance System to determine the prevalence of individuals who were ever tested for HIV and the prevalence of missed opportunities for HIV testing among those never tested in the United States. We assessed the effect of absolute percentage increases in having ever been tested among those who had a past-year routine checkup on increasing the overall prevalence of having ever been tested. Results. In 2019, 49.5% of US adults had ever been tested for HIV; 34.5% had a missed opportunity. A 50% increase in testing at routine checkups would increase the prevalence of having ever been tested to 84.0%. Increases in the prevalence of having ever been tested ($85%) was highest among persons aged 35 to 54 years, Black persons, persons who were female at birth, persons with health insurance, and persons reporting HIV risk behaviors. Conclusions. Fully incorporating HIV screening into primary care would greatly increase the proportion of US adults who have been tested for HIV. Public Health Implications.Continued efforts to promote HIV testing, including implementing routine screening in clinical settings, will help ensure that all US adults know their HIV status. (Am J Public Health. Published online ahead of print June 29, 2021: e1-e4. https://doi.org/10.2105/AJPH.2021.306321).

Behavioral interventions have been a crucial tool for the prevention of HIV transmission since early in the epidemic. The Centers for Disease Control and Prevention (CDC) has provided funding for evidence-based behavioral interventions (EBIs) at health departments and community-based organizations (CBOs) since 2004. From 2006 to 2015, CDC funded 25 CBOs to evaluate one or more of seven EBIs designed to prevent HIV through the Community-based Organization Behavioral Outcomes Project (CBOP) as implemented outside of a research setting. For each EBI, CBOP showed that most HIV risk behaviors improved after the intervention, and improvements were similar to those observed in research studies. Our findings show that behavioral interventions can be successfully implemented in real-world settings. Although the focus of HIV prevention has largely shifted toward biomedical interventions in recent years, successful implementation often depends on behavioral components. Lessons from CBOP can inform future efforts to develop and implement behavioral interventions for HIV and other areas of public health.

Objectives. To examine state-level factors associated with late-stage HIV diagnoses in the United States.Methods. We examined state-level factors associated with late-stage diagnoses by estimating negative binomial regression models. We used 2013 to 2016 data from the National HIV Surveillance System (late-stage diagnoses), the Behavioral Risk Factor Surveillance System (HIV testing), and the American Community Survey (sociodemographics).Results. Among individuals 25 to 44 years old, a 5% increase in the percentage of the state population tested for HIV in the preceding 12 months was associated with a 3% decrease in late-stage diagnoses. Among both individuals 25 to 44 years of age and those aged 45 years and older, a 5% increase in the percentage of the population living in a rural area was associated with a 2% to 3% increase in late-stage diagnoses.Conclusions. Increasing HIV testing may lower late-stage HIV diagnoses among younger individuals. Increasing HIV-related services may benefit both younger and older people in rural areas. (Am J Public Health. Published online ahead of print September 19, 2019: e1-e7. doi:10.2105/AJPH.2019.305273).

It is estimated that 23% of the adults and adolescents living with HIV in the United States are female. The Division of HIV/AIDS Prevention at the Centers for Disease Control and Prevention (CDC) funds evidence-based interventions (EBIs) to reduce HIV risk behaviors, including HIV prevention programs for people living with HIV and their partners. While EBIs have been shown to be effective in controlled research environments, there are limited data on intervention implementation in real-world settings. Women Involved in Life Learning from Other Women (WILLOW) is a four-session small-group intervention that targets heterosexual women aged 18-50 who are living with HIV. This evaluation assessed changes in participants' HIV knowledge, attitudes, beliefs and risk behaviors. A repeated measures design was used to collect participant risk behaviors at baseline, and again at three and six months post-intervention. Changes in attitudes, beliefs, and risk behaviors were assessed using generalized estimating equations. After participation in WILLOW, participants reported increased HIV knowledge, attitudes and beliefs, being more supportive of condom use, and reduced prevalence of HIV risk behaviors. Findings suggest that the WILLOW intervention can be successfully delivered by community-based organizations to reduce HIV risk behaviors among members of this high-risk population.

In the United States, the all-cause mortality rate among persons living with diagnosed HIV infection (PLWH) is almost twice as high as among the general population. We aimed to identify amendable factors that state public health programs can influence to reduce mortality among PLWH. Using generalized estimating equations (GEE), we estimated age-group-specific models (24-34, 35-54, >/= 55 years) to assess the association between state-level mortality rates among PLWH during 2010-2014 (National HIV Surveillance System) and amendable factors (percentage of Ryan White HIV/AIDS Program (RWHAP) clients with viral suppression, percentage of residents with healthcare coverage, state-enacted anti-discrimination laws index) while controlling for sociodemographic nonamendable factors. Controlling for nonamendable factors, states with 5% higher viral suppression among RWHAP clients had a 3-5% lower mortality rates across all age groups [adjusted Risk Ratio (aRR): 0.95, 95% Confidence Interval (CI): 0.92-0.99 for 24-34 years, aRR: 0.97, 95%CI: 0.94-0.99 for 35-54 years, aRR: 0.96, 95%CI: 0.94-0.99 for >/= 55 years]; states with 5% higher health care coverage had 4-11% lower mortality rate among older age groups (aRR: 0.96, 95%CI: 0.93-0.99 for 34-54 years; aRR: 0.89, 95%CI: 0.81-0.97 for >/= 55 years); and having laws that address one additional area of anti-discrimination was associated with a 2-3% lower mortality rate among older age groups (aRR: 0.98, 95%CI: 0.95-1.00 for 34-54 years; aRR: 0.97, 95%CI: 0.94-0.99 for >/= 55 years). The mortality rate among PLWH was lower in states with higher levels of residents with healthcare coverage, anti-discrimination laws, and viral suppression among RWHAP clients. States can influence these factors through programs and policies.

Safe sexual behaviors and anti-retroviral use help prevent HIV transmission. In this cross-sectional study, we assessed correlates of anti-retroviral (ART) status and transmission risk (a constructed variable) among a convenience sample of n = 1041 HIV-positive women (pre-intervention) enrolled in an evidence-based intervention at four CBOs. Multinomial logistic regression models were used. Younger women and those diagnosed with HIV in the last 5 years more often reported that they had not been prescribed ART. Self-reported non-adherence to ART was less frequently reported among women who were older, had a higher HIV knowledge, and those with attitudes/beliefs supportive of condom use. The highest-risk transmission group (condomless sex with HIV-negative/unknown partner and not prescribed or non-adherent to ART) was associated with younger age, attitudes/beliefs less supportive of condom use, and low self-efficacy discussing condom use. Our findings inform HIV prevention efforts among similar populations of HIV-positive women enrolled in interventions at CBOs.

OBJECTIVES: To describe the extent to which Centers for Disease Control and Prevention (CDC)-funded HIV testing in nonhealthcare facilities reaches adolescent MSM, identifies new HIV infections, and links those newly diagnosed to medical care. METHODS/DESIGN: We describe HIV testing, newly diagnosed positivity, and linkage to medical care for adolescent MSM who received a CDC-funded HIV test in a nonhealthcare facility in 2015. We assess outcomes by race/ethnicity, HIV-related risk behaviors, and US geographical region. RESULTS: Of the 703 890 CDC-funded HIV testing events conducted in nonhealthcare facilities in 2015, 6848 (0.9%) were provided to adolescent MSM aged 13-19 years. Among those tested, 1.8% were newly diagnosed with HIV, compared with 0.7% among total tests provided in nonhealthcare facilities regardless of age and sex. The odds of testing positive among black adolescent MSM were nearly four times that of white adolescent MSM in multivariable analysis (odds ratio = 3.97, P < 0.001). Among adolescent MSM newly diagnosed with HIV, 67% were linked to HIV medical care. Linkage was lower among black (59%) and Hispanic/Latino adolescent MSM (71%) compared with white adolescent MSM (88%). CONCLUSION: CDC-funded nonhealthcare facilities can reach and provide HIV tests to adolescent MSM and identify new HIV infections; however, given the low rate of HIV testing overall and high engagement in HIV-related risk behaviors, there are opportunities to increase access to HIV testing and linkage to care for HIV-positive adolescent MSM. Efforts are needed to identify and address the barriers that prevent black and Hispanic/Latino adolescent MSM from being linked to HIV medical care in a timely manner.

HIV prevalence and socio-demographic data were analyzed to assess the alignment of CDC-funded HIV testing activity in 2012 with its high-impact prevention approach. CDC-funded HIV-testing was conducted in counties with high HIV prevalence and in places potentially more affected by HIV as measured by urbanicity, percent black, percent poverty, and percent uninsured. The percent Hispanic/Latino was associated with a lower probability of HIV testing activity. Higher percentages of black and Hispanic/Latino in the population was positively associated with new HIV diagnoses. Analyzing county-level data confirmed the appropriateness of CDC-funded HIV testing activities under a high-impact prevention approach but also suggested areas for possible improvement.

In 2006, the Centers for Disease Control and Prevention funded seven community-based organizations (CBOs) to conduct outcome monitoring of Healthy Relationships. Healthy Relationships is an evidence-based behavioral intervention for people living with HIV. Demographic and sexual risk behaviors recalled by participants with a time referent of the past 90 days were collected over a 17-month project period using a repeated measures design. Data were collected at baseline, and at 3 and 6 months after the intervention. Generalized estimating equations were used to assess the changes in sexual risk behaviors after participation in Healthy Relationships. Our findings show that participants (n = 474) in the outcome monitoring project reported decreased sexual risk behaviors over time, such as fewer number of partners (RR = 0.55; 95% CI 0.41-0.73, P < 0.001) and any unprotected sex events (OR = 0.44; 95% CI 0.36-0.54, P < 0.001) at 6 months after the intervention. Additionally, this project demonstrates that CBOs can successfully collect and report longitudinal outcome monitoring data.