Using Data for Programming and Approaches to End the HIV Epidemic
Resource (Conference Presentation) updated 09/14/2023
Resource (Conference Presentation) updated 09/14/2023
Resource (Conference Presentation) updated 09/14/2023
Resource updated 09/19/2023
Resource updated 08/17/2023
The TargetHIV website is the central hub for RWHAP technical assistance (TA), with an audience of 40,000 unique users a year. Of these, approximately 25 percent access resources from data-related TA providers. This poster will describe how we collect and interpret website data to monitor and improve our dissemination approaches.
Resource (Conference Presentation) updated 09/14/2023
Columbia University College of Dental Medicine has partnered with community partners to implement a dental care delivery system for PLWHA in NYC. A week-long Service Learning Rotation was integrated into the third-year dental student curriculum; data analysis from this pilot year will be used for program quality improvement and modification.
Resource (Conference Presentation) updated 09/14/2023
Oral health providers rely on continuing education to improve HIV care and services. This session describes how the Arizona AETC partnered with the Los Angeles Area AETC and the UCLA School of Dentistry to assess and respond to special training and technical assistance needs of HIV providers during COVID-19.
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
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Resource updated 01/10/2024