AIDS Drug Assistance Programs (ADAPs) are state-administered programs that pay for medical care for people living with HIV in the US. Maintaining enrollment in the programs is challenging, and a large proportion of clients in Washington state (WA) fail to recertify and are disenrolled. In this study we sought to quantify the impact of disenrollment from ADAPs on viral suppression.
View Article and Find Full Text PDFBackground: Project Extension for Community Health Outcomes (ECHO) aims to connect community providers to academic specialists, deliver longitudinal clinical mentorship and case consultations, plus encourage dissemination of knowledge and resources. The impact on outcomes for persons with HIV (PWH) is uncertain.
Setting: PWH in Washington and Oregon outside of the Seattle and Portland metro areas, January 2011 to March 2018.
Introduction: The HIV epidemic in King County, Washington has traditionally been highly concentrated among men who have sex with men, and incidence has gradually declined over 2 decades. In 2018, King County experienced a geographically concentrated outbreak of HIV among heterosexual people who inject drugs.
Methods: Data sources to describe the 2018 outbreak and King County's response were partner services interview data, HIV case reports, syringe service program client surveys, hospital data, and data from a rapid needs assessment of homeless individuals and people who inject drugs.
Medical contraindications to estrogen limit women's contraceptive options. This study assessed the association between selected medical contraindications to estrogen on contraceptive use and examined whether contraindications serve as a barrier to the prevention of unintended pregnancy. We analyzed women aged 18-44 at risk of unintended pregnancy participating in the 2017 Behavioral Risk Factor Surveillance System.
View Article and Find Full Text PDFJ Acquir Immune Defic Syndr
July 2021
Background: Pillar 4 of the United States' End the HIV Epidemic plan is to respond quickly to HIV outbreaks, but the utility of CDC's tool for identifying HIV outbreaks through time-space cluster detection has not been evaluated. The objective of this evaluation is to quantify the ability of the CDC time-space cluster criterion to predict future HIV diagnoses and to compare it to a space-time permutation statistic implemented in SaTScan software.
Setting: Washington State from 2017 to 2019.
Molecular cluster detection can be used to interrupt HIV transmission but is dependent on identifying clusters where transmission is likely. We characterized molecular cluster detection in Washington State, evaluated the current cluster investigation criteria, and developed a criterion using machine learning. The population living with HIV (PLWH) in Washington State, those with an analyzable genotype sequences, and those in clusters were described across demographic characteristics from 2015 to2018.
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