Substance use disorder (SUD), a common comorbidity among people with HIV (PWH), adversely affects HIV clinical outcomes and HIV-related comorbidities. However, less is known about the incidence of different chronic conditions, changes in overall comorbidity burden, and health care utilization by SUD status and patterns among PWH in Florida, an area disproportionately affected by the HIV epidemic. We used electronic health records (EHR) from a large southeastern US consortium, the OneFlorida + clinical research data network.
View Article and Find Full Text PDFBeyond training providers prior to the roll-out of coordinated specialty care (CSC) for first-episode psychosis in clinical settings, implementation support for data-informed care remains an area that has received very little attention. The current paper describes the development and refinement of implementation support for the data-driven components of care in the New Journeys network, Washington State's CSC model for psychosis, comprised of 14 CSC programs. Using the Evidence-Based System for Innovation Support Logic Model, this paper outlines the individual components for implementation support, tools, training, technical assistance, and quality improvement/evaluation that have been developed for the New Journeys network.
View Article and Find Full Text PDFFlorida is one of the HIV epicenters with high incidence and marked sociodemographic disparities. We analyzed a decade of statewide electronic health record/claims data-OneFlorida+-to identify and characterize pre-exposure prophylaxis (PrEP) recipients and newly diagnosed HIV cases in Florida. Refined computable phenotype algorithms were applied and a total of 2186 PrEP recipients and 7305 new HIV diagnoses were identified between January 2013 and April 2021.
View Article and Find Full Text PDFBetween 2005 and 2006, the United States Preventive Services Task Force and the Centers for Disease Control and Prevention revised their risk-based HIV testing guidelines to include universal HIV testing in routine health care. We examined trends in HIV testing and associations with changing policy recommendations using the 2000-2017 National Health Interview Surveys. Multivariable logistic regression and difference-in-difference approach were used to assess rates and correlates of HIV testing before and after the policy changes.
View Article and Find Full Text PDFBackground: Refocused national HIV testing initiatives include a geographic focus.
Objective: Using a geographic focus, we sought to identify which emergency departments (EDs) might be the most efficient targets for future HIV testing efforts, using California as an example.
Methods: Retrospective analysis of California EDs, emergency physicians, and patients served, along with county-level estimates of HIV prevalence and proportion of the population living in poverty.
Introduction: As people with HIV (PWH) age, they experience prolonged exposure to HIV and antiretroviral therapy, increased risks of developing age-related HIV-associated non-AIDS (HANA) comorbidities and higher rates of hospitalization. Few studies have explored the ageing of PWH and its impact on hospital stays in the US. This study examined trends, characteristics and comorbidities associated with hospital stays with HIV (HSWH) as compared with hospital stays without HIV (HSWOH).
View Article and Find Full Text PDFHIV care engagement is a dynamic process. We employed group-based trajectory modeling to examine longitudinal patterns in care engagement among people who were newly diagnosed with HIV and enrolled in the Ryan White program in Florida (n = 9,755) between 2010 and 2015. Five trajectories were identified (47.
View Article and Find Full Text PDFIntroduction: The Emergency Department (ED) plays a key role in linkage to and engagement in care for people with HIV (PWH) in the United States, particularly for individuals without a routine source or schedule for care. Assessing patterns of ED resource utilization by PWH can help elucidate the role of EDs across the HIV care continuum. The aim of this study was to use visit-level data to characterize resource utilization patterns for HIV-related ED visit diagnoses compared to those of other ED visit types.
View Article and Find Full Text PDFBackground: Electronic health record (EHR)-based computable phenotype algorithms allow researchers to efficiently identify a large virtual cohort of Human Immunodeficiency Virus (HIV) patients. Built upon existing algorithms, we refined, improved, and validated an HIV phenotype algorithm using data from the OneFlorida Data Trust, a repository of linked claims data and EHRs from its clinical partners, which provide care to over 15 million patients across all 67 counties in Florida.
Methods: Our computable phenotype examined information from multiple EHR domains, including clinical encounters with diagnoses, prescription medications, and laboratory tests.
Human immunodeficiency virus (HIV) testing is important for controlling the epidemic in low- and middle-income countries such as the Dominican Republic (DR) – a country in the Caribbean. This study aimed to examine factors associated with HIV testing in the DR. The study used HIV test data in the 2013 DR Demographic and Health Survey.
View Article and Find Full Text PDFHuman immunodeficiency virus (HIV) testing is important for prevention and treatment. Ending the HIV epidemic is unattainable if significant proportions of people living with HIV remain undiagnosed, making HIV testing critical for prevention and treatment. The Centers for Disease Control and Prevention (CDC) recommends routine HIV testing for persons aged 13 to 64 years in all health care settings.
View Article and Find Full Text PDF