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Who Is Not Linking to HIV Care in Tennessee - the Benefits of an Intersectional Approach.
Pierce, Leslie J; Rebeiro, Peter; Brantley, Meredith; Fields, Errol L; Jenkins, Cathy A; Griffith, Derek M; Conserve, Donaldson; Shepherd, Bryan; Wester, Carolyn; Ahonkhai, Aima A.
Afiliação
  • Pierce LJ; Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, 2525 West End Ave, Suite 750, Nashville, TN, 37203, USA.
  • Rebeiro P; Department of Medicine, Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Brantley M; Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Fields EL; Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Jenkins CA; Tennessee Department of Health, Nashville, TN, USA.
  • Griffith DM; Division of Adolescent/Young Adult Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Conserve D; Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Shepherd B; Center for Research on Men's Health, Vanderbilt University, Nashville, TN, USA.
  • Wester C; Department of Health Promotion, Education and Behavior, University of South Carolina, Columbia, SC, USA.
  • Ahonkhai AA; Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.
J Racial Ethn Health Disparities ; 9(3): 849-855, 2022 06.
Article em En | MEDLINE | ID: mdl-33876409
ABSTRACT

INTRODUCTION:

Guided by an intersectional approach, we assessed the association between social categories (individual and combined) on time to linkage to HIV care in Tennessee.

METHODS:

Tennessee residents diagnosed with HIV from 2012-2016 were included in the analysis (n=3750). Linkage was defined by the first CD4 or HIV RNA test date after HIV diagnosis. We used Cox proportional hazards models to assess the association of time to linkage with individual-level variables. We modeled interactions between race, age, gender, and HIV acquisition risk factor (RF), to understand how these variables jointly influence linkage to care.

RESULTS:

Age, race, and gender/RF weAima A. Ahonkhaire strong individual (p < 0.001 for each) and joint predictors of time to linkage to HIV care (p < 0.001 for interaction). Older individuals were more likely to link to care (aHR comparing 40 vs. 30 years, 1.20, 95%CI 1.11-1.29). Blacks were less likely to link to care than Whites (aHR= 0.73, 95% CI 0.67-0.79). Men who have sex with men (MSM) (aHR = 1.18, 95%CI 1.03-1.34) and heterosexually active females (females) (aHR = 1.32, 95%CI 1.14-1.53) were more likely to link to care than heterosexually active males. The three-way interaction between age, race, and gender/RF showed that Black males overall and young, heterosexually active Black males in particular were least likely to establish care.

CONCLUSIONS:

Racial disparities persist in establishing HIV care in Tennessee, but data highlighting the combined influence of age, race, gender, and sexual orientation suggest that heterosexually active Black males should be an important focus of targeted interventions for linkage to HIV care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / Minorias Sexuais e de Gênero Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: J Racial Ethn Health Disparities Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / Minorias Sexuais e de Gênero Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: J Racial Ethn Health Disparities Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos