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Prevalence and Predictors of Hospitalizations Among HIV-Infected and At-Risk HIV-Uninfected Women

Anna L Hotton1, Kathleen M Weber, Ronald C Hershow

  • 1*The CORE Center, Cook County Health and Hospitals System, Chicago, IL; †Division of Epidemiology and Biostatistics, University of Illinois at Chicago, School of Public Health, Chicago, IL; ‡Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY; §Division of Biostatistics, University of California San Francisco, San Francisco, CA; ‖Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; ¶Downstate Medical Center, State University of New York, Brooklyn, NY; #City of Hope National Medical Center, Duarte, CA and the Keck School of Medicine, University of Southern California, Los Angeles, CA; **Division of Infectious Diseases, Georgetown University Medical Center, Washington, DC; and ††Departments of Medicine, Stroger Hospital and Rush University Medical Center, Chicago, IL.

Journal of Acquired Immune Deficiency Syndromes (1999)
|December 22, 2016
PubMed

Insights

The Veterans Aging Cohort Study (VACS) Index score and psychosocial factors like depression and diabetes predict hospitalization risk in both HIV-infected and uninfected women. These factors are important for understanding women's health outcomes.

Area of Science:

  • Medical research
  • Public health
  • Epidemiology

Background:

  • Hospitalization risk is a critical outcome for women's health.
  • Understanding predictors of hospitalization is essential for preventative care in both HIV-infected and HIV-uninfected populations.

Purpose of the Study:

  • To evaluate the Veterans Aging Cohort Study (VACS) Index score and psychosocial/clinical factors as predictors of all-cause hospitalization.
  • To assess these predictors among women on highly active antiretroviral therapy (HAART) and HIV-uninfected women.

Main Methods:

  • Data from 2008-2014 included 1585 HIV-infected and 692 HIV-uninfected women.
  • Cox proportional hazards regression analyzed predictors of first hospitalization over a 2-year period.

Main Results:

  • For HIV-infected women, VACS Index score, depression, smoking, abuse history, diabetes, and black race increased hospitalization risk.
  • For HIV-uninfected women, VACS Index score, depression, diabetes, and black race predicted hospitalization.
  • Psychosocial and clinical factors independently predicted hospitalization risk in both groups.

Conclusions:

  • Psychosocial and clinical factors are significant independent predictors of hospitalization in women, regardless of HIV status.
  • Further research into contextual and psychosocial influences on women's health outcomes is warranted.
Abstract

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