Housing First to Treat and Prevent HIV
Resource updated 10/13/2023
Resource updated 10/13/2023
Resource from the RWHAP Best Practices Compilation updated on 04/15/2024
Resource from the RWHAP Best Practices Compilation updated on 11/13/2023
Resource from the RWHAP Best Practices Compilation updated on 11/17/2023
Resource from the RWHAP Best Practices Compilation updated on 11/14/2023
RWHAP Technical Assistance Provider updated on 02/27/2024
Resource from the RWHAP Best Practices Compilation updated on 01/07/2024
Resource from the RWHAP Best Practices Compilation updated on 04/15/2024
Blog updated 02/28/2023
Resource from the RWHAP Best Practices Compilation updated on 11/30/2023
Resource updated 03/04/2024
Resource from the RWHAP Best Practices Compilation updated on 01/03/2024
Resource from the RWHAP Best Practices Compilation updated on 01/07/2024
The objective of this study is to assess key stakeholders, including patients, for readiness to adopt a new standard of care. Because many people with HIV in Alabama experience low literacy, low income, and are racial minorities, data suggests they will experience greater barriers to healthcare information technology, like PROs and Telehealth.
Resource (Conference Presentation) updated 09/14/2023
Resource from the RWHAP Best Practices Compilation updated on 01/03/2024
Comparison of those retained in care and not retained in care, using 2019 CAREWare data, which identified concerning health outcomes for those not retained.
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