Workplace violence, including verbal and physical abuse, is escalating nationwide. As healthcare workers try to enforce COVID-19 prevention policies and practices, this phenomenon is exacerbated. De-escalation training is a method to prepare nurses through increased situational awareness, leading to early recognition and improved coping and confidence in dealing with aggression. Outcomes are presented, suggesting education of nurses may have a positive influence on the number of security calls and incident reports.
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http://dx.doi.org/10.1097/NNA.0000000000001135 | DOI Listing |
J Am Psychiatr Nurses Assoc
January 2025
Patrick Walsh, PhD, MPH, University of Rochester Medical Center, Rochester, NY, USA.
Introduction: Increased aggression in a regional Comprehensive Psychiatric Emergency Program (CPEP) led to a significant rise in physical assaults, restraints, and use of security personnel. Root cause analysis revealed a need for more extensive training on de-escalation, teamwork and communication.
Aims: This quality improvement project evaluated the impact of an interprofessional, high-fidelity simulation project on interdisciplinary collaboration to manage de-escalation and aggression safely and effectively.
Issues Ment Health Nurs
January 2025
Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Violence against nurses and other healthcare workers is a significant and escalating concern, impeding the provision of safe and effective healthcare services. A majority of nurses experience some kind of violence, including physical and nonphysical assaults during their careers. The consequences of workplace violence extend beyond individual trauma, leading to increased burnout, turnover, and significant financial costs for healthcare systems.
View Article and Find Full Text PDFJAMA Surg
January 2025
Breast Unit, Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Importance: Increasing evidence supports the oncologic safety of de-escalating axillary surgery for patients with breast cancer after neoadjuvant chemotherapy (NAC).
Objective: To evaluate the oncologic outcomes of de-escalating axillary surgery among patients with clinically node (cN)-positive breast cancer and patients whose disease became cN negative after NAC (ycN negative).
Design, Setting, And Participants: In the NEOSENTITURK MF-1803 prospective cohort registry trial, patients from 37 centers with cT1-4N1-3M0 disease treated with sentinel lymph node biopsy (SLNB) or targeted axillary dissection (TAD) alone or with ypN-negative or ypN-positive disease after NAC were recruited between February 15, 2019, and January 1, 2023, and evaluated.
Front Psychol
December 2024
Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States.
This paper outlines the development of standardized scenarios used to assess the efficacy of Crisis Intervention Team (CIT) training in a randomized, controlled trial. The objective was to create scenarios that accurately simulate mental health crisis situations for law enforcement officers, ensuring that each scenario tests specific CIT skills relevant to real-world encounters. Our process involved building an interdisciplinary team and drawing from the knowledge and experience of professionals in law enforcement, mental health, and performance arts to design a set of scenarios that are both realistic and challenging.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
New Cross Hospital, The Royal Wolverhampton NHS Trust, Wolverhampton, WV10 0Q, UK.
Background: Numerous tools based on electronic health record (EHR) data that predict risk of unscheduled care and mortality exist. These are often criticised due to lack of external validation, potential for low predictive ability and the use of thresholds that can lead to large numbers being escalated for assessment that would not have an adverse outcome leading to unsuccessful active case management. Evidence supports the importance of clinical judgement in risk prediction particularly when ruling out disease.
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