Background: We assessed the impact of COVID-19, which includes the declaration of a state of emergency and subsequent release of pandemic-specific OAT guidance (March 17, 2020 to March 23, 2020) on the prevalence of OAT discontinuation.
Methods: We conducted a population-based time series analysis using interventional autoregressive integrated moving average models among Ontario residents who were stable (>60 days of continuous use) and not yet stable on OAT. Specifically, we examined whether COVID-19 impacted the weekly percentage of individuals who discontinued OAT, overall and stratified by treatment type (methadone vs. buprenorphine/naloxone). Additionally, we compared demographic characteristics and patient outcomes among people stable on OAT who discontinued treatment during (March 17, 2020 to November 30, 2020) and prior (July 3, 2019 to March 16, 2020) to the pandemic.
Results: The weekly prevalence of OAT discontinuation across the study period ranged between 0.6% and 1.1%, among those stable on treatment compared to 7.3% and 16.6%, among those not stable on treatment. Following COVID-19, there was no significant change in the percentage of Ontarians who discontinued OAT, regardless of whether they were stabilized on treatment. Among those stable on OAT, a similar proportion of patients restarted therapy and experienced opioid-related harm following an OAT discontinuation. However, mortality following OAT discontinuation must be noted, as approximately 1.4% and 0.8% of people who discontinued methadone and buprenorphine/naloxone respectively, died within 30 days of discontinuation.
Conclusions: Trends in the prevalence of OAT discontinuation did not significantly change during the first eight months of the COVID-19 pandemic.
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http://dx.doi.org/10.1016/j.drugalcdep.2022.109459 | DOI Listing |
Lancet Public Health
January 2025
US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Background: Rapid, accessible, and accurate testing was paramount to an effective US COVID-19 response. Federal partners supported SARS-CoV-2 testing scale-up through an interagency-coordinated approach that focused on expanding supply chains, research and development, validation, and improving patient access. We aimed to provide an overview of the federal efforts to scale up the testing response and study the impact of scale-up.
View Article and Find Full Text PDFInt J Urol
January 2025
Department of Urology, Institute of Science Tokyo, Tokyo, Japan.
Objective: To analyze the recent status of laparoscopic adrenalectomy for benign adrenal tumors, focusing on the relationship between the number of surgeries and complication rates per facility.
Methods: Data were obtained from the Diagnosis Procedure Combination database, covering surgeries performed between April 2012 and March 2020. The inclusion criteria were laparoscopic adrenalectomy for benign adrenal tumors.
BMC Psychiatry
January 2025
Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Introduction: Mental disorders, such as anxiety and depression, significantly impacted global populations in 2019 and 2020, with COVID-19 causing a surge in prevalence. They affect 13.4% of the people worldwide, and 21% of Iranians have experienced them.
View Article and Find Full Text PDFBMC Med Res Methodol
January 2025
Systems Engineering & Operations Research, George Mason University, Fairfax, VA, 22030, USA.
Background: In this work, we implement a data-driven approach using an aggregation of several analytical methods to study the characteristics of COVID-19 daily infection and death time series and identify correlations and characteristic trends that can be corroborated to the time evolution of this disease. The datasets cover twelve distinct countries across six continents, from January 22, 2020 till March 1, 2022. This time span is partitioned into three windows: (1) pre-vaccine, (2) post-vaccine and pre-omicron (BA.
View Article and Find Full Text PDFSchizophrenia (Heidelb)
January 2025
Department of Psychiatry, University of Campania "Luigi Vanvitelli", 80138, Naples, Italy.
The present study aimed to investigate the causal relationships among cognitive impairment, psychopathology, and real-life functioning in a large sample of people with schizophrenia, using a data-driven causal discovery procedure based on partial ancestral graphs (PAGs). This method may provide additional insights for the identification of potential therapeutic targets to promote recovery in people with chronic schizophrenia. State-of-the-art instruments were used to assess the study variables.
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