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Implementation science and the Health Resources and Services Administration’s Ryan White HIV/AIDS Program’s work towards ending the HIV epidemic in the United States
Implementation science and the Health Resources and Services Administration’s Ryan White HIV/AIDS Program’s work towards ending the HIV epidemic in the United States
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Implementation science and the Health Resources and Services Administration’s Ryan White HIV/AIDS Program’s work towards ending the HIV epidemic in the United States
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Implementation science and the Health Resources and Services Administration’s Ryan White HIV/AIDS Program’s work towards ending the HIV epidemic in the United States
Implementation science and the Health Resources and Services Administration’s Ryan White HIV/AIDS Program’s work towards ending the HIV epidemic in the United States
Journal Article

Implementation science and the Health Resources and Services Administration’s Ryan White HIV/AIDS Program’s work towards ending the HIV epidemic in the United States

2020
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Overview
Introduction Implementation science has emerged as an essential field for HIV treatment and prevention, providing crucial insights for clinical effectiveness and efficacy trials, bench-to-bedside translation of clinical trial evidence into real-world intervention strategies, and routine program monitoring and evaluation [1,2,3,4,5]. Funded at $2.3 billion in 2019, with more than 2,000 providers across the US, the RWHAP delivers a comprehensive system of high-quality HIV care and treatment, including direct medical care and support services for more than half a million people with HIV—more than 50% of all people living with diagnosed HIV in the US [9]. Since 1990, the RHWAP has played a pivotal role in supporting state and county health departments as well as faith- and community-based organizations to implement effective intervention strategies to improve the health and well-being of people with HIV. According to the Centers for Disease Control and Prevention (CDC), when taken daily, PrEP is highly effective for preventing HIV infection [17]. Trying to rigorously account for the messiness of the real world, however, can require elaborate, resource-intensive evaluation frameworks that are hard to replicate. [...]studies that are highly tailored to, and therefore relevant for, a specific context may have reduced external validity, hindering the production of generalizable knowledge that could support broader implementation [7].