Introduction: Prevalence estimates of opioid use disorder (OUD) at local levels are critical for public health planning and surveillance, yet largely unavailable across the US especially at the local county level.
Methods: We used a Bayesian evidence synthesis approach to estimate the prevalence of OUD for 57 counties across New York State for 2017-2019 and compare rates of OUD across counties as well as assess the extent of undiagnosed OUD. We developed a generative model to assess conditional probabilistic relations between different subgroups of the OUD population defined by diagnosis, treatment, and overdose fatality.
Pre-exposure prophylaxis (PrEP) is an effective HIV prevention tool available in several modalities (e.g., daily oral, injectable, implants, rectal douching).
View Article and Find Full Text PDFBackground: Disparities in sexually transmitted infections (STI) including human immunodeficiency virus (HIV) among sexual minority boys and young men are substantial. Effective HIV and STI prevention programs that include access to pre-exposure prophylaxis (PrEP) medication do not consistently include younger sexual minority men. Text-messaging programs for HIV prevention have been associated with increases in HIV testing among sexual minority adolescent boys, but these programs have not incorporated a focus on PrEP or STIs beyond HIV.
View Article and Find Full Text PDFIn Southern U.S. states with high HIV incidence and low HIV Pre-Exposure Prophylaxis (PrEP) uptake, enhanced efforts to increase interest in and willingness to use PrEP are needed.
View Article and Find Full Text PDFSeveral large-scale, pragmatic clinical trials on opioid use disorder (OUD) have been completed in the National Drug Abuse Treatment Clinical Trials Network (CTN). However, the resulting data have not been harmonized between the studies to compare the patient characteristics. This paper provides lessons learned from a large-scale harmonization process that are critical for all biomedical researchers collecting new data and those tasked with combining datasets.
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