Background: Buprenorphine is a medication that is used to treat opioid use disorder by reducing withdrawal symptoms and cravings for opioids. Patients with poor adherence are at higher risk of relapse and overdose. Providers often test adherence through urine testing but are not aware of simulated adherence, where patients may directly add buprenorphine to the urine samples. As of now, there exists no literature on the simulated adherence practices for patients who stayed in the treatment for more than three months.
Methods: This study is a cross-sectional analysis of simulated adherence through urine toxicology results of 3950 patients undergoing buprenorphine/naloxone treatment. Simulated adherence was measured by the ratio of norbuprenorphine and buprenorphine <0.02 in the urine sample. Descriptive statistics as well as multivariate analysis was conducted to examine the relationship between patient information and outcomes.
Results: Out of 3950 patients, 411 (10.4%) had a history of one or more simulated adherence. On average, patients with multiple simulated adherences had 48.1% of their tests simulated, while on the contrary, patients with a single occurrence of simulated adherence had 17.6% of their tests simulated. Weekly testing and visit number of over 15 were associated with a higher likelihood of simulated adherence.
Conclusion: The study demonstrates that simulated adherence is a recurring phenomenon among buprenorphine/naloxone treatment patients regardless of the duration in the treatment. Utilization of quantitative urine toxicology to identify simulated adherence will enable healthcare providers to formulate a more precise and effective treatment plan tailored to support individual patient needs.
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http://dx.doi.org/10.1080/10826084.2023.2275559 | DOI Listing |
Mar Pollut Bull
January 2025
School of Navigation, Wuhan University of Technology, Wuhan, Hubei 430063, China. Electronic address:
Ship speed optimization is a primary and direct method for controlling carbon emissions. This study uses simulations based on shipboard measurements from a 28,000 DWT bulk carrier collected between 2015 and 2016. Model predictive control (MPC) with nonlinear receding horizon optimization is employed to optimize the original voyage speeds while ensuring trajectory tracking.
View Article and Find Full Text PDFMolecules
January 2025
Department of Biochemistry and Organic Chemistry, Institute of Chemistry, São Paulo State University (UNESP), Araraquara 14800-060, SP, Brazil.
Leishmaniasis is a neglected tropical disease caused by a protozoan of the genus Leishmania, which has visceral and cutaneous forms. The symptoms of leishmaniasis include high fever and weakness, and the cutaneous infection also causes lesions under the skin. The drugs used to treat leishmaniasis have become less effective due to the resistance mechanisms of the protozoa.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan.
Background: In medical education, enhancing thinking skills is vital. The Virtual Diagnosis and Treatment Platform (VP) refines medical students' diagnostic abilities through interactive patient interviews (simulated patient interactions). By analyzing the questions asked during these interviews, the VP evaluates students' aptitude in medical history inquiries, offering insights into their thinking capabilities.
View Article and Find Full Text PDFBackground: With the increasing availability and use of digital tools such as virtual reality in medical education, there is a need to evaluate their impact on clinical performance and decision-making among healthcare professionals. The Trauma SimVR study is investigating the efficacy of virtual reality training in the context of traumatic in-hospital cardiac arrest.
Methods And Analysis: This study protocol (clinicaltrials.
PLoS One
January 2025
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, RP China.
This study develops an innovative method for analyzing and clustering tonal trends in Chinese Yue Opera to identify different vocal styles accurately. Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!