Introduction: Emergency department nurses are exposed to specific stressors and report higher stress levels than nurses in other hospital departments. This study aimed to develop and test the psychometric properties of a questionnaire-based instrument for identifying stressors for emergency department nurses.
Methods: The instrument's content and face validities were examined by five experts and nurses in emergency nursing field. The test-retest reliability was examined on 30 emergency department nurses. The construct validity, including an exploratory and a confirmatory factor analysis, was tested on 405 emergency department nurses. Cronbach's alpha values and intra-class coefficients were calculated.
Results: The instrument's content and face validities were satisfactory. The exploratory factor analysis provided a five-factor solution, whereas the confirmatory factor analysis provided a final four-factor solution with 25 items distributed among the factors Life and death situations, Patients' and families' actions and reactions, Technical and formal support, and Conflicts. The Cronbach's alpha values ranged from 0.89 to 0.93 per factor, and the intra-class correlation coefficient was 0.89, indicating good homogeneity and stability.
Conclusions: The instrument's content, face, and construct validities were satisfactory, and the internal consistency and test-retest reliability were good. This instrument can be useful in the management of emergency departments.
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http://dx.doi.org/10.1016/j.ienj.2018.01.005 | DOI Listing |
J Med Internet Res
January 2025
Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: Efficient emergency patient transport systems, which are crucial for delivering timely medical care to individuals in critical situations, face certain challenges. To address this, CONNECT-AI (CONnected Network for EMS Comprehensive Technical-Support using Artificial Intelligence), a novel digital platform, was introduced. This artificial intelligence (AI)-based network provides comprehensive technical support for the real-time sharing of medical information at the prehospital stage.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Doxy.me Research, Doxy.me, Inc, Charleston, SC, United States.
The US COVID-19 Public Health Emergency ended on May 11, 2023. Lawmakers and regulators extended some flexibilities while they deliberate effective long-term telemedicine policy. Here, we discuss critical challenges in telemedicine compliance and regulation grounded in scholarly literature and current events.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
America's Physician Groups, Washington, DC.
Importance: Many physician groups are in 2-sided risk payment arrangements with Medicare Advantage plans (at-risk MA). Analysis of quality and health resource use under such arrangements may inform ongoing Medicare policy concerning payment and service delivery.
Objective: To compare quality and efficiency measures under 2 payment models: at-risk MA and fee-for-service (FFS) MA.
Ultrasound J
January 2025
Pediatric Emergency Medicine, Yale University School of Medicine, 100 York Street, Suite 1F, New Haven, CT, 06511, USA.
E-point septal separation (EPSS) and tricuspid annular plane systolic excursion (TAPSE) are M-mode measures of left and right ventricular systolic function, with limited pediatric point-of-care ultrasound (POCUS) research. We conducted a cross-sectional study in a pediatric emergency department, enrolling 12-17-year-olds without cardiopulmonary complaints. Exclusion criteria included abnormal vital signs, fever, altered mental status, or psychiatric illness.
View Article and Find Full Text PDFCell Biol Toxicol
January 2025
Department of Environmental Medicine, School of Medicine, Chongqing University, Chongqing, China.
Manganese (Mn) is a neurotoxin that has been etiologically linked to the development of neurodegenerative diseases in the case of overexposure. It is widely accepted that overexposure to Mn leads to manganism, which has clinical symptoms similar to Parkinson's disease (PD), and is referred to as parkinsonism. Astrocytes have been reported to scavenge and degrade extracellular α-synuclein (α-Syn) in the brain.
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