Background: The multitude of negative consequences of nurse burnout calls for interventions to protect the well-being of the individual nurses, patients, and hospital organizations. However, much is still to be discovered about the development of this complex psychological syndrome.
Purpose: This study aimed to describe the development of nurse burnout for a population of Flemish hospital nurses while considering vulnerability and situational stressors as indicated by the vulnerability-stress model.
Methods: Ten registered nurses were enlisted for semistructured interviews through purposive sampling. All selected nurses were currently suffering from burnout, showed a burnout risk, or had gone through a burnout in the past. A descriptive thematic analysis was performed with themes inductively emerging from the data.
Results: Four main themes emerged: "being passionate about doing well or being good," "teamwork," "manager," and "work and personal circumstances." More specifically, it was the discrepancy between the first individual vulnerability factor and the three situational stressors that led to feelings of stress and burnout.
Conclusions: The essence of the development of nurse burnout was found in the discrepancy between individual vulnerability and situational stressors. Therefore, we recommend burnout prevention to target both factors.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/0844562119876777 | DOI Listing |
J Med Internet Res
January 2025
ETH Zurich, Zurich, Switzerland.
Background: The escalating global scarcity of skilled health care professionals is a critical concern, further exacerbated by rising stress levels and clinician burnout rates. Artificial intelligence (AI) has surfaced as a potential resource to alleviate these challenges. Nevertheless, it is not taken for granted that AI will inevitably augment human performance, as ill-designed systems may inadvertently impose new burdens on health care workers, and implementation may be challenging.
View Article and Find Full Text PDFObjective: This clinical trial sought to evaluate the safety and preliminary efficacy of psilocybin and MBSR for frontline healthcare providers with symptoms of depression and burnout related to the COVID-19 pandemic.
Methods: This was a randomized controlled trial that enrolled physicians and nurses with frontline clinical work during the COVID-19 pandemic and symptoms of depression and burnout. Participants were randomized in a 1:1 ratio to either an 8-week MBSR curriculum alone or an 8-week MBSR curriculum plus group psilocybin-assisted psychotherapy (PAP) with 25mg psilocybin.
AIMS Public Health
November 2024
School of Applied Social Policy Sciences, Ulster University, Derry BT48 7JL, UK.
The challenges of maintaining an effective and sustainable healthcare workforce include the recruitment and retention of skilled nurses. COVID-19 exacerbated these challenges, but they persist beyond the pandemic. We explored the impact of work-related quality of life and burnout on reported intentions to leave a variety of healthcare professions including nursing.
View Article and Find Full Text PDFBackground: Burnout is prevalent in healthcare professionals, especially among nurses. This review aims to examine the correlation between empathy and burnout as well as the variables that influence and mediate them.
Methods: This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline, to present a systematic evaluation of literature.
Medicine (Baltimore)
January 2025
Department of ICU, Ningbo Medical Centre Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
The objective of this study is to examine the phenomenon of workplace bullying and its potential associations with burnout and depression among clinical nurses in China. A convenience sampling method was utilized to conduct a survey among 415 clinical nurses across 9 hospitals. All questionnaires were completed within a 2-week period in October 2023.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!