Introduction: COVID-19 required healthcare systems to iteratively adapt for safe and up-to-date care as knowledge of the disease rapidly evolved. Rates of COVID-19 infections continue to fluctuate and patients without COVID-19 increasingly return to the emergency department (ED) for care. This leads to new challenges and threats to patient and clinician safety as suspected patients with COVID-19 need to be quickly detected and isolated among other patients with non-COVID-19-related illnesses. At the front lines, emergency physicians also face continued personal safety concerns and increased work burden, which heighten stress and anxiety, especially given the prolonged course of the pandemic. Burnout, already a serious concern for emergency physicians due to the cumulative stresses of their daily practice, may present as a longer-term outcome of these acute stressors.
Methods And Analysis: We will implement a rapidly adaptive simulation-based approach to understand and improve physician preparedness while decreasing physician stress and anxiety. First, we will conduct semi-structured qualitative interviews and human factor observations to determine the challenges and facilitators of COVID-19 preparedness and mitigation of physician stress. Next, we will conduct a randomised controlled trial to test the effectiveness of a simulation preparedness intervention on physician physiological stress as measured by decreased heart rate variability on shift and anxiety as measured by the State-Trait Anxiety Inventory.
Ethics And Dissemination: The protocol was reviewed and approved by the Agency for Healthcare Research and Quality for funding, and ethics approval was obtained from the Yale University Human Investigation Committee in 2020 (HIC# 2000029370 and 2000029372). To support ongoing efforts to address clinician stress and preparedness, we will strategically disseminate the simulation intervention to areas most impacted by COVID-19. Using a virtual telesimulation and webinar format, the dissemination efforts will provide hands-on learning for ED and hospital administrators as well as simulation educators.
Trial Registration Number: NCT04614844.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121107 | PMC |
http://dx.doi.org/10.1136/bmjopen-2021-058980 | DOI Listing |
CJC Open
December 2024
University Health Network, Toronto, Ontario, Canada.
Background: Patients with heart failure (HF) can experience a poor quality-of-life (QOL), recurring hospitalizations, and progressive disease symptoms. Patient-reported outcome measures (PROMs) integrate patients' voices into clinical care, by assessing patient symptoms, function, and QOL. In 2022, PROMs were incorporated into the electronic health record system (Epic) at a large academic hospital in Toronto, Ontario, Canada.
View Article and Find Full Text PDFCJC Open
December 2024
Ted Rogers Centre for Heart Research, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Background: The Weeneebayko Area Health Authority (WAHA) is a regional, community-based Indigenous health authority in Northern Ontario, Canada. From September 2022 to March 2023, the WAHA and University Health Network engaged in a partnership that designed a collaborative model of care to address inequities in cardiology specialist access in Northern Ontario. This model implemented a digital therapeutic for heart failure, (the Medly program) and in-person cardiology clinics in the region.
View Article and Find Full Text PDFIndian J Orthop
January 2025
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001 China.
Introduction: The Steinberg classification system is commonly used by orthopedic surgeons to stage the severity of patients with osteonecrosis of the femoral head (ONFH), and it includes mild, moderate, and severe grading of each stage based on the area of the femoral head affected. However, clinicians mostly grade approximately by visual assessment or not at all. To accurately distinguish the mild, moderate, or severe grade of early stage ONFH, we propose a convolutional neural network (CNN) based on magnetic resonance imaging (MRI) of the hip joint of patients to accurately grade and aid diagnosis of ONFH.
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University, Shandong First Medical University, Shandong, China.
It is unusual for young patients without any underlying diseases to experience sudden cerebral infarction and heart failure. Here, we report a rare case of a 28-year-old female patient who presented with chest tightness and dizziness. Left ventricular thrombus formation and cardiac insufficiency were evident on echocardiogram, while multiple acute or subacute cerebral infarctions were visible on brain magnetic resonance imaging.
View Article and Find Full Text PDFPerspect Med Educ
December 2024
University of California, San Francisco, US.
When health professions learners do not meet standards on assessments, educators need to share this information with the learners and determine next steps to improve their performance. Those conversations can be difficult, and educators may lack confidence or skill in holding them. For clinician-educators with experience sharing challenging news with patients, using an analogy from clinical settings may help with these conversations in the education context.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!