U.S. Centers for Disease Control and Prevention and Health Resources and Services Administration Initiatives to Address Disparate Rates of HIV Infection in the South

McCree, Donna Hubbard; Young, Steven R.; Henny, Kirk D.; Cheever, Laura W.; McCray, Eugene

doi:10.1007/s10461-019-02596-4

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…All US state health department HIV control programs receive federal funds from CDC to implement, expand, and support D2C (McCree et al, 2019). Insights from established D2C programs are valuable for helping less-established programs (Sweeney et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Overcoming Challenges to HIV Medical Care-seeking and Treatment Among Data-to-Care Program Clients in Baton Rouge and New Orleans, Louisiana

Carey¹,

Roland²,

Bessler³

et al. 2022

J Assoc Nurses AIDS Care

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Data to Care (D2C) uses US public health surveillance data to identify persons with diagnosed HIV who are not receiving adequate medical care. These persons are linked to care and ancillary social services through personalized outreach. We conducted semistructured interviews with 36 adults with HIV in Louisiana who were engaged for the first time or reengaged back into HIV care through D2C efforts. Before D2C program staff contact, nearly 40% were not contemplating HIV care. Program clients cited barriers to HIV care, including difficulties with appointment scheduling and transportation, health care service and drug costs, low motivation, and competing non-HIV health needs. Thirty-four of the 36 clients said that D2C staff helped them overcome these barriers. Clients also described psychosocial support from D2C staff. After receiving D2C program assistance, more than 90% of clients reported consistently receiving HIV medical care and taking medications. Our findings suggest that D2C staff successfully identified client needs and provided tailored assistance.

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Section: Discussionmentioning

confidence: 99%

Overcoming Challenges to HIV Medical Care-seeking and Treatment Among Data-to-Care Program Clients in Baton Rouge and New Orleans, Louisiana

Carey¹,

Roland²,

Bessler³

et al. 2022

J Assoc Nurses AIDS Care

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“…In 2018, 51% of all new diagnoses in the United States occurred in the South, even though only 38% of the population resided in this area. [2] The rate of people with HIV (PWH) in the South (372 per 100,000 people) is twice that of the mid-West (180 per 100,000) and 18% higher than the national average (313 per 100,000). [3] The HIV epidemic has grown disproportionately in the South compared to other regions in the country.…”

Section: Introductionmentioning

confidence: 99%

Estimation of HIV Prevalence at the ZIP Code-Level in Atlanta, Georgia: Bayesian Prediction Modeling Using Passive Surveillance Data and Social Determinants of Disease Spreading. (Preprint)

Saldarriaga,

Basu

2023

JMIR Public Health and Surveillance

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Background: Better information at the ZIP Code-level has the potential to enhance interventions targeting, identify treatment gaps, and optimize resources utilization. Currently there are no methods designed to estimate undiagnosed HIV cases at jurisdictions smaller than counties.Objective: This study aims to predict the number of undiagnosed HIV cases at the ZIP Code-level in Atlanta, Georgia, based on publicly available information. Methods:The CDC reports both passive surveillance (PS) and estimated total (MS) HIV cases for selected counties as part of the Ending of the HIV Epidemic initiative. We employed a Bayesian hierarchical model to: 1) Model MS as random draws from a Poisson distribution with mean equal to the true total HIV cases in the county. 2) A Binomial model for PS arising from the true denominator, with mean P, known as the ascertainment probability. 3) Use a logistic fractional model to allow P to be dependent on socio-economic determinants of HIV extracted from the American Community Survey. These determinants were chosen through a feature selection algorithm. The prediction model was tested out-of-sample on Georgia counties. Finally, we combined zip-code-level covariate data with the posterior predictive distribution of the logit coefficients to predict the mean P at zip-code-level. Final estimates were spatially-smoothed and aggregated to county-level for secondary validations.

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“…The Southeastern United States is disproportionately affected by HIV compared with other regions, with more than 50% of all HIV cases reported in 2018 occurring in this area despite the region composing only 38% of the US population. 9 As the COVID-19 pandemic evolved, HIV/STI testing rates declined, 10 whereas positive diagnoses for those getting tested have increased significantly and are predicted to continue rising as social distancing regulations relax. 11,12 Many providers were forced to reduce staffed clinic hours because of public safety regulations related to COVID-19, with some providing telehealth services and home-based HIV/STI testing.…”

mentioning

confidence: 99%

“…This number has remained unchanged despite the availability of effective biomedical interventions, such as HIV preexposure prophylaxis (PrEP). The Southeastern United States is disproportionately affected by HIV compared with other regions, with more than 50% of all HIV cases reported in 2018 occurring in this area despite the region composing only 38% of the US population 9 …”

mentioning

confidence: 99%

Human Immunodeficiency Virus/Sexually Transmitted Infection Testing Preferences for Young Black Men Who Have Sex With Men in the Southeastern United States: Implications for a Post–COVID-19 Era

et al. 2021

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Background: Little is known regarding human immunodeficiency virus (HIV)/sexually transmitted infection (STI) testing preferences for location, staffing, and hours of operation among Young Black men who have sex with men (YBMSM) in the Southeastern United States, a population at high risk for HIV/STIs. We used a discrete choice experiment to explore these preferences.Methods: Young Black men who have sex with men ages 16 to 35 years in Birmingham, AL and Jackson, MS completed online surveys evaluating their preferences (best/worst) for HIV/STI testing locations, staffing, hours, method of results notification, and cost. They also selected preferred combinations of these variables through choice tasks. Results were analyzed using joint best/worst and discrete choice experiment models.Results: Between June 2018 and December 2019, participants in Alabama (n = 54) and Mississippi (n = 159) completed online surveys. Both groups preferred stationary testing locations over mobile testing vans, with the most significant difference favoring STI testing-only clinics in Mississippi and local health departments in Alabama ( P < 0.001). Technician-performed tests or self-testing were significantly less preferred compared with clinicianperformed testing for both groups ( P < 0.0001 and P < 0.0001, respectively). Free testing and phone results notification (versus text) were preferred by both groups. The most desirable combination among all participants was weekday clinician-performed testing at the health department for $5.Conclusions: Young Black men who have sex with men in the Southeastern United States prefer traditional testing locations staffed by experienced personnel. Combination choices are influenced by services that are low or no cost. More research is needed to inform the best way(s) to provide affordable, high-quality HIV/STI testing services for YBMSM, particularly in the post-COVID-19 era when sexual health care delivery models are evolving toward home-based and remote health-focused strategies.

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U.S. Centers for Disease Control and Prevention and Health Resources and Services Administration Initiatives to Address Disparate Rates of HIV Infection in the South

Cited by 8 publications

References 4 publications

Overcoming Challenges to HIV Medical Care-seeking and Treatment Among Data-to-Care Program Clients in Baton Rouge and New Orleans, Louisiana

Overcoming Challenges to HIV Medical Care-seeking and Treatment Among Data-to-Care Program Clients in Baton Rouge and New Orleans, Louisiana

Estimation of HIV Prevalence at the ZIP Code-Level in Atlanta, Georgia: Bayesian Prediction Modeling Using Passive Surveillance Data and Social Determinants of Disease Spreading. (Preprint)

Human Immunodeficiency Virus/Sexually Transmitted Infection Testing Preferences for Young Black Men Who Have Sex With Men in the Southeastern United States: Implications for a Post–COVID-19 Era

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