Emotional Intelligence and Job Satisfaction Among Nephrology Nurses Working in Acute and Chronic Hemodialysis Settings.

Nephrology nurses working in hemodialysis units face unique challenges managing multiple patients - an experience often contributing to higher levels of burnout and stress, and potentially lower job satisfaction and retention rates, exacerbating the existing nursing shortage in dialysis settings. Targeted strategies are essential to improve job satisfaction. In this study, we explored the relationship between emotional intelligence and job satisfaction among nephrology nurses working in acute and chronic hemodialysis settings.

Density dependence maintains long-term stability despite increased isolation and inbreeding in the Florida Scrub-Jay.

Isolation caused by anthropogenic habitat fragmentation can destabilize populations. Populations relying on the inflow of immigrants can face reduced fitness due to inbreeding depression as fewer new individuals arrive. Empirical studies of the demographic consequences of isolation are critical to understand how populations persist through changing conditions.

PREVENTion and treatment of incontinence-associated dermatitis through a codesigned manual (PREVENT-IAD): a study protocol for a feasibility cluster randomised controlled trial with a nested process evaluation.

Introduction: Incontinence is commonly experienced by adults who receive care support in a residential facility or in their own home. These individuals are at risk of developing incontinence-associated dermatitis (IAD), which is caused by prolonged and repeated exposure of the skin to urine or faeces. An IAD manual was developed providing an evidence-based clinical algorithm and an e-learning training programme for the prevention and treatment of IAD.

Clinical and research applications of natural language processing for heart failure.

Natural language processing (NLP) is a burgeoning field of machine learning/artificial intelligence that focuses on the computational processing of human language. Researchers and clinicians are using NLP methods to advance the field of medicine in general and in heart failure (HF), in particular, by processing vast amounts of previously untapped semi-structured and unstructured textual data in electronic health records. NLP has several applications to clinical research, including dramatically improving processes for cohort assembly, disease phenotyping, and outcome ascertainment, among others.