Screening for Adverse Childhood Experiences Among Youth With HIV in Integrated Care Settings
Resource (Conference Presentation) updated 09/14/2023
Resource (Conference Presentation) updated 09/14/2023
Resource (Conference Presentation) updated 09/14/2023
Moderated discussion (Saag, Cheever) of those that were involved at the very start of the HIV/AIDS epidemic in the San Francisco Bay Area.
Panelists: Kathleen A. Clanon, MD, Director, Alameda Care Connect; Marcus A. Conant, MD, Co-founder, San Francisco AIDS Foundation; Alison Moed, RN, Head Nurse, AIDS Ward, San Francisco General Hospital; Michael Reyes, MD, University of California San Francisco; Paul A. Volberding, MD, University of California San Francisco.
Resource (Conference Presentation) updated 09/14/2023
Blog updated 12/22/2022
Resource updated 03/04/2024
Resource updated 03/15/2023
Blog updated 08/19/2022
Resource from the RWHAP Best Practices Compilation updated on 11/22/2023
Resource updated 10/24/2023
Blog updated 03/28/2024
RWHAP Technical Assistance Provider updated on 02/27/2024
Max Clinic's multi-agency partnership to address the complex medical and social needs of people with HIV by utilizing a multidisciplinary approach involving case management, field work, and comprehensive medical services to reach people with HIV who are not currently engaged in HIV care.
Resource (Conference Presentation) updated 09/14/2023
As trauma awareness grows in all aspects of our communities, it is time to ask, “What are the next innovations in helping those with HIV recover from trauma?” This workshop will show how new technology helps to quantify resiliency and post-traumatic growth for patients and clients.
Resource (Conference Presentation) updated 09/14/2023
Before the pandemic, HIV providers were among the most burnt-out professions in our society. This workshop helps to identify the dangers to our mental, physical, and social health resulting from the demands our work combined with the exposure to the stress and trauma of our those we serve.
Resource (Conference Presentation) updated 09/14/2023
HIV prevalence among Black women is at epidemic levels with violence greatly contributing to this statistic. The application of machine learning to HIV studies has the ability to inform more personalized approaches to decreasing HIV prevalence as well as improve the health outcomes of those people with HIV.
Resource (Conference Presentation) updated 09/14/2023