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Background: Emergency departments (EDs) provide care to patients at increased risk for acquiring HIV, and for many of them, the ED serves as their sole point of entry into the healthcare system. We implemented the HIV PreventED Program to increase access to HIV prevention services for ED patients., Setting: ED in Oakland, CA with an annual census of 57,000 visits., Methods: This cross-sectional study evaluated the first 9 months of the HIV PreventED Program. In this program, a navigator surveyed adult ED patients who tested HIV negative to determine their risk for acquiring HIV infection, incorporating HIV prevention counseling into their assessments. Patients at higher risk for acquiring HIV were referred to outpatient prevention services, if interested. The primary outcome measure was the number and proportion of ED patients at higher risk for acquiring HIV who followed up for outpatient prevention services., Results: In this study, 1233 patients who tested HIV negative were assessed by the navigator and received ED-based HIV prevention counseling. Of these, 193 (15.7%) were identified at higher risk and offered an outpatient referral for prevention services, of which 104 accepted (53.9%), 23 (11.9%) attended the referral, and 13 (6.7%) were prescribed preexposure prophylaxis (PrEP). The median time to linkage was 28 days (interquartile range 15-41 days)., Conclusion: A navigator focused on providing ED-based HIV prevention counseling and linkage to outpatient services is feasible. Strategies to more efficiently identify ED patients at higher risk for HIV acquisition, such as automated identification of risk data from the electronic health record, and policies to improve follow-up and the receipt of PrEP, such as same-day PrEP initiation, should be prospectively evaluated., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

We study a mathematical model for the human immunodeficiency virus (HIV) and hepatites C virus (HCV) coinfection. The model predicts four distinct equilibria: the disease free, the HIV endemic, the HCV endemic, and the full endemic equilibria. The local and global stability of the disease free equilibrium was calculated for the full model and the HIV and HCV submodels. We present numerical simulations of the full model where the distinct equilibria can be observed. We show simulations of the qualitative changes of the dynamical behavior of the full model for variation of relevant parameters. From the results of the model, we infer possible measures that could be implemented in order to reduce the number of infected individuals., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)