Development of an electronic health record-based Human Immunodeficiency Virus (HIV) risk prediction model for women, incorporating social determinants of health.

Journal: BMC public health
Published Date: Jul 2, 2025

Abstract

BACKGROUND: Human Immunodeficiency Virus (HIV) pre-exposure prophylaxis (PrEP) prevents HIV transmission but has low uptake among women. Identifying women who could benefit from PrEP remains a challenge. This study developed a women-specific model to predict HIV risk within a year using electronic health record (EHR) data and social determinants of health (SDoH).

Authors

  • Yiyang Liu
    Department of Environmental Science and Engineering, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
  • Aokun Chen
    Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA; Cancer Informatics Shared Resource, University of Florida Health Cancer Center, Gainesville, FL, USA.
  • Hwayoung Cho
    College of Nursing, University of Florida, USA.
  • Khairul A Siddiqi
    Department of Community and Behavioral Health, Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA.
  • Robert L Cook
    Department of Epidemiology, College of Medicine and College of Public Health and Health Professions, University of Florida, 2004 Mowry Road, PO Box 100231, Gainesville, FL, 32610-0231, USA.
  • Mattia Prosperi
    University of Florida, Gainesville, Florida, USA.

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