Simulation-Based Quality Improvement and Training to Improve Door to Puncture Time for Mechanical Thrombectomy.

Introduction: Mechanical Thrombectomy (MT) exists as the gold standard for the management of acute ischaemic stroke secondary to large vessel occlusion. There is a direct correlation between reduced time to reperfusion and improved patient outcomes. Our study aimed to optimise processes and reduce the time from the patient's arrival at hospital to vascular puncture for MT (DTP time) through simulation-based quality improvement and staff training.

Indigenous student engagement in science: a case study addressing the lack of diversity and equity in biomedical science and pharmacy research for Aboriginal and Torres Strait islander people.

Indigenous representation in Australian biomedical science and pharmacy research remains limited due to systemic barriers, historical marginalization and culturally inappropriate educational frameworks. This article outlines a case study of initiatives at the University of Newcastle (UoN) aimed at addressing these inequities. Central to this effort is the establishment of the Indigenous Student Engagement Committee, which promotes Indigenous participation across all academic stages.

GPs' experience of embedded Musculoskeletal Advanced Practice Physiotherapists in Primary Care: A cross-sectional survey with content analysis.

Background: General Practices across Scotland have expanded their multi-disciplinary teams (MDTs) to include non-medical allied health professionals (NMAHPs) as part of the 2018 General Medical Services Contract (GMS), including musculoskeletal (MSK) Advanced Practice Physiotherapists (APPs). MDT expansion was hoped to reduce General Practitioner (GP) workloads and release their time to care for patients with complex needs. Published research concerning GPs' experiences of these roles is conflicting on whether they perceive this to be the case.

Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function.

Background: Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures - however, how these population-level risks relate to individual risk remains elusive. To address this, we assess over 450 potential risk factors in one deeply clinically and demographically phenotyped cohort using random forest classifiers to determine predictive markers of poor cognitive function. This study aims to understand early risk factors for dementia by identifying predictors of poor cognitive performance amongst a comprehensive battery of imaging, blood, atmospheric pollutant and socio-economic measures.

Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews.

Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.

Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.