Publications by authors named "R H Lyles"
Article Synopsis
- PTSD negatively impacts the adherence and effectiveness of antiretroviral therapy (ART) in veterans with HIV, leading to increased nonadherence and modifications in treatment.
- This study analyzed over 22,000 person-years of data from veterans who deployed to Iraq and Afghanistan, finding a 6% increase in nonadherence and a 38% increase in ART modifications linked to PTSD.
- Veterans with multiple deployments saw an even greater likelihood of nonadherence; the impact of PTSD on treatment changes was most pronounced in the first decade after diagnosis, highlighting the need for regular PTSD screening in this population.
Background: A pathway for the treatment of acute bacterial skin and skin structure infections (ABSSSI) with a single intravenous (IV) dose of dalbavancin was previously shown to reduce hospital admissions and shorten inpatient length of stay (LOS).
Objectives: To describe pathway implementation at the emergency department (ED) and evaluate cost-effectiveness of a single-dose dalbavancin administered to ED patients who would otherwise be hospitalized to receive usual care with multidose IV antibiotics.
Methods: The dalbavancin pathway was previously implemented at 11 U.
Article Synopsis
- Researchers use special methods to guess how many people are sick in a certain group since some cases are never found by any system.
- * They suggest a way to improve these guesses by considering expert opinions and correcting errors in the data.
- * The new method helps estimate how many people have a specific virus using real data, making it easier for scientists to understand their results and feel confident about their assumptions.
Epidemiologic screening programs often make use of tests with small, but non-zero probabilities of misdiagnosis. In this article, we assume the target population is finite with a fixed number of true cases, and that we apply an imperfect test with known sensitivity and specificity to a sample of individuals from the population. In this setting, we propose an enhanced inferential approach for use in conjunction with sampling-based bias-corrected prevalence estimation.
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