The majority of research and policy directives targeting opioid use and overdose prevention are based in larger urban settings and not easily adaptable to smaller Canadian settings (i.e., small- to mid-sized cities and rural areas). We identify a variety of research and policy gaps in smaller settings, including limited access to supervised consumption services, safer supply and novel opioid agonist therapy programs, as well as housing-based services and supports. Additionally, we identify the need for novel strategies to improve healthcare access and health outcomes in a more equitable way for people who use drugs, including virtual opioid agonist therapy clinics, episodic overdose prevention services, and housing-based harm reduction programs that are better suited for smaller settings. These programs should be coupled with rigorous evaluation, in order to understand the unique factors that shape overdose risk, opioid use, and service uptake in smaller Canadian settings.
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http://dx.doi.org/10.17269/s41997-021-00504-9 | DOI Listing |
Front Public Health
January 2025
School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China.
The accuracy of spatial clustering detection is crucial for public health policy development and identifying etiological clues. Circular and flexibly-shaped scan statistics are widely used for disease cluster detection, but differences in results arise mainly due to parameter sensitivity and variations in the scanning window shapes. This study aims to analyze the impact of parameter settings on the results of these methods and compare their performance in disease clustering detection.
View Article and Find Full Text PDFSurg Pract Sci
March 2024
Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Introduction: Repair of midsize (4-6 cm) ventral hernias is challenging given lack of guidelines. Within this context, we sought to characterize surgical approach among patients undergoing repair of midsize ventral hernias within the only population-level, clinically-nuanced hernia registry in the US.
Methods: Retrospective cohort study of patients undergoing ventral hernia repair in the Michigan Surgical Quality Collaborative Core Optimization Hernia Registry (MSQC-COHR).
J Orthop Surg Res
January 2025
Clinical School/College of Orthopedics, Tianjin Medical University, 406 Jiefang South Road, Tianjin, 300211, China.
Background: Lateral patellar compression syndrome (LPCS) is a common cause of anterior knee pain. Early diagnosis of LPCS using an accurate radiological examination is, therefore, important. However, the currently used radiological examinations for detecting LPCS are poor diagnostic indicators.
View Article and Find Full Text PDFMethods Inf Med
January 2025
Artificial Intelligence Lab, Mimos Berhad, Kuala Lumpur, Malaysia.
Objective: This is the first Malaysian machine learning model to detect and disambiguate abbreviations in clinical notes. The model has been designed to be incorporated into MyHarmony, a Natural Language Processing system, that extracts clinical information for healthcare management. The model utilizes word embedding to ensure feasibility of use, not in real-time but for secondary analysis, within the constraints of low-resource settings.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Ophthalmology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany.
Background: With globalization, oculoplastic surgeons must understand the intricate morphological nuances of the periocular region across ethnicities to ensure precise treatment and avoid facial disharmony or dysfunction. Direct comparisons in two-dimensional (2D)-based periocular morphology between studies can be challenging due to the limited number of parameters and complicated variations in equipment, environments, measurement personnel, and methods. Therefore, it is imperative to explore the detailed three-dimensional (3D) periocular morphological disparities between young Caucasian and Chinese populations.
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