Using behavioural science to improve antibiotic stewardship in Canadian long-term care homes: Protocol for a multi-center cluster randomized quality improvement study.

Background: Antimicrobial resistance (AMR) is associated with significant human and financial costs, particularly among vulnerable populations like older adults living in long-term care homes (LTCHs). Urinary tract infection (UTI) is the leading indication for antibiotic use in this population, with some estimates suggesting that up to 70% of these prescriptions may be avoidable.

Objective: The purpose of this study is to develop and test novel behavioural science-informed antimicrobial stewardship (AMS) quality improvement strategies in Canadian LTCHs, which aim to decrease unnecessary testing and treatment for residents who lack the minimum clinical signs and symptoms of UTI.

Heterotopic submandibular gland with herniation through the mylohyoid boutonnière: a unique radiological case.

Purpose: To describe a rare case of heterotopic submandibular gland (SMG) tissue herniating through the mylohyoid boutonnière into the anterior submandibular space, diagnosed using imaging, and to provide insights into its clinical implications.

Methods: A 59-year-old male with a history of smoking and type 2 diabetes presented with new-onset hoarseness. Imaging, including contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI), was performed.

A Mindfulness-Based App Intervention for Pregnant Women: Study Design, Development, and Preliminary Testing of a Prototype.

Background: Pregnancy is a complex period characterized by significant transformations. How a woman adapts to these changes can affect her quality of life and psychological well-being. Recently developed digital solutions have assumed a crucial role in supporting the psychological well-being of pregnant women.

Biomechanical testing of virtual meniscus implants made from a bi-phasic silk fibroin-based hydrogel and polyurethane via finite element analysis.

Objective: To investigate the suitability of different material compositions and structural designs for 3D-printed meniscus implants using finite element analysis (FEA) to improve joint function after meniscal injury and guide future implant development.

Design: This experimental study involved in-silico testing of a meniscus model developed from two materials: a specially formulated hydrogel composed of silk fibroin (SF), gelatine, and decellularized meniscus-derived extracellular matrix (MD-dECM), and polyurethane (PU) with stiffness levels of 54 and 205 MPa. Both single-material implants and a two-volumetric meniscus model with an SF/gelatine/MD-dECM core and a PU shell were analysed using FEA to simulate the biomechanical performance under physiological conditions.