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Comparing Socio-Demographics and HIV Testing and Prevention Outcomes Between Low-Income HIV-Negative Heterosexually Active Black Women and Men with Health Insurance

  • 期刊论文

  • 发表日期：

    2024年5月14日

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  • Rachel David,
  • Amy R. Baugher,
  • Anna D. Baker,
  • Ebony Respress,
  • Pascale Wortley,
  • Jeff Todd,
  • David Melton,
  • Colin Flynn,
  • Danielle German,
  • Monina Klevens,
  • Shauna Onofrey,
  • Conall O’Cleirigh,
  • Antonio D. Jimenez,
  • Irina Tabidze,
  • David Kern,
  • Margaret Vaaler,
  • Jie Deng,
  • Alia Al-Tayyib,
  • Daniel Shodell,
  • Emily Higgins,
  • Vivian Griffin,
  • Corrine Sanger,
  • Salma Khuwaja,
  • Zaida Lopez,
  • Paige Padgett,
  • Ekow Kwa Sey,
  • Yingbo Ma,
  • Hugo Santacruz,
  • Monica Kent,
  • Jack Marr,
  • Meredith Brantley,
  • Emma Spencer,
  • David Forrest,
  • Monica Faraldo,
  • Bridget J. Anderson,
  • Ashley Tate,
  • Meaghan Abrego,
  • William T. Robinson,
  • Narquis Barak,
  • Jacob Chavez,
  • Sarah Braunstein,
  • Alexis Rivera,
  • Sidney Carrillo,
  • Abdel R. Ibrahim,
  • Afework Wogayehu,
  • Corey Rosmarin-DeStafano,
  • Kathleen A. Brady,
  • Jennifer Shinefeld,
  • Tanner Nassau,
  • Timothy W. Menza,
  • E. Roberto Orellana,
  • Lauren Lipira,
  • Sheryl Williams,
  • Anna Flynn,
  • Adam Bente,
  • Willi McFarland,
  • Desmond Miller,
  • Danielle Veloso,
  • Sandra Miranda De León,
  • Yadira Rolón-Colón,
  • María Pabón Martínez,
  • Tom Jaenicke,
  • Sara Glick,
  • Jennifer Reuer,
  • Jennifer Kienzle,
  • Brandie Smith,
  • Toyah Reid,
  • Jenevieve Opoku,
  • Irene Kuo

摘要

Objective

This study is to compare socio-demographic, HIV testing, and prevention factors experienced by insured low-income heterosexual Black women and men.

Methods

We examined cross-sectional data from Black women and men (n = 5837) recruited in 23 U.S. cities for National HIV Behavioral Surveillance June–December 2019. We compared socio-demographic and behavioral factors between groups using log-linked Poisson regression models, producing adjusted prevalence ratios and 95% confidence intervals.

Results

Black women were less likely than Black men to have private insurance (aPR 0.61, 95% CI 0.50–0.74, p < 0.0001). Black women were more likely than Black men to have incomes at or below the poverty line (aPR 1.04, 95% CI 1.01–1.07, p = 0.02), be aware of PrEP (aPR 1.20, 95% CI 1.12–1.28, p < 0.0001), and have been recently tested for HIV (aPR 1.12, 95% CI 1.04, 1.20, p < 0.01).

Conclusions

Despite insured status, many Black women and men experienced suboptimal access to and utilization of HIV testing and prevention services. Understanding how social conditions produce differential access to care may help inform HIV prevention interventions.