6 May 2025

ABSTRACT BACKGROUND: Relational leadership frameworks have consistently demonstrated associations with positive staff, organizational, and patient-related outcomes. Yet, there is minimal research postpandemic in the U.S. METHODS: A cross-sectional, correlational study with multivariate regression was conducted using a sample of 3145 clinical nurses and nurse leaders obtained by snowball sampling in DAISY organizations in the United […]

ABSTRACT OBJECTIVE: To systematically review and synthesize the evidence surrounding factors impacting women rising to leadership positions in critical care medicine (CCM). DATA SOURCES: PubMed, Embase, Web of Science, and Cochrane Library from 2011 to 2024. STUDY SELECTION: Articles included were cohort studies, surveys, and interviews addressing women physicians practicing in CCM and related fields

ABSTRACT PURPOSE: This study aims to test the nurses’ authentic leadership’s direct and indirect impact on job satisfaction and intent to stay through work-to-family conflict (WFC) in health-care organizations. DESIGN/METHODOLOGY/APPROACH: Data were gathered at three different time points from 262 nurses employed in public hospitals across Bangladesh. Hierarchical regression analysis using structural equation modeling and

ABSTRACT pressure injuries are significant concern for ICU patients on mechanical ventilation. Early prediction is crucial for enhancing patient outcomes and reducing healthcare costs. This study aims to develop a predictive model using machine learning techniques, specifically XGBoost combined with SHAP, to identify key risk factors of pressure ulcers in this population. Utilizing the MIMIC-IV

ABSTRACT BACKGROUND: Interest in integrating robotics within intensive care units (ICUs) has been propelled by technological advancements, workforce challenges, and heightened clinical demands, including during the COVID-19 pandemic. The integration of robotics in ICUs could potentially enhance patient care and operational efficiency amid existing challenges faced by health care professionals, including high workload and decision-making complexities. OBJECTIVE:

ABSTRACT BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantly contributes to high mortality rates. This study aims to construct a mortality prediction model for patients with SICH using four various artificial intelligence (AI) machine learning algorithms. METHOD: A retrospective analysis was conducted on electronic medical records of SICH patients aged 20 and

Pseudomonas aeruginosa infection of the urinary tract results in green urine due to the release of the pigment pyocyanin. Green and blue urine may also appear in chronic obstructive jaundice due to biliverdin excretion, an oxidation product of bilirubin. Multiple case reports describe green urine in patients with propofol infusion syndrome, a theoretically fatal disorder

Tuberculosis (TB) is a contagious bacterial infection that primarily affects the lungs. It is caused by the bacterium Mycobacterium tuberculosis. The bacteria spreads from person to person through the air, typically when an infected person speaks, coughs, or sneezes. Individuals’ active TB disease can also spread the infection to others through their bodily fluids. Despite

Measles, also known as rubeola, is a contagious, preventable viral infection. Despite developing an effective vaccine, it causes over 100,000 fatalities each year. The causative organism is the measles virus, a member of the Paramyxoviridae family and the Morbillivirus genus. The measles virus affects humans and possesses no animal reservoir. It is transmitted by intimate

Alzheimer disease is a progressive neurological condition that causes a gradual decline in behavioral and cognitive abilities such as memory, interpretation, language, concentration, and decisions. Alzheimer is the most prevalent dementia, contributing to two-thirds of dementia cases in persons 65 and older. There is no cure for Alzheimer’s disease. Only symptomatic treatment is available. However,