Aims: This study re-examines the validity of a model of occupational resilience for use by nursing managers, which focused on an individual differences approach that explained buffering factors against negative outcomes such as burnout for nurses.
Background: The International Collaboration of Workforce Resilience model (Rees et al., 2015, Frontiers in Psychology, 6, 73) provided initial evidence of its value as a parsimonious model of resilience, and resilience antecedents and outcomes (e.g., burnout). Whether this model's adequacy was largely sample dependent, or a valid explanation of occupational resilience, has been subsequently un-examined in the literature to date. To address this question, we re-examined the model with a larger and an entirely new sample of student nurses.
Methods: A sample of nursing students (n = 708, Age = 26.4 (7.7) years), with data examined via a rigorous latent factor structural equation model.
Results: The model upheld many of its relationship predictions following further testing.
Conclusions: The model was able to explain the individual differences, antecedents, and burnout-related outcomes, of resilience within a nursing context.
Implications For Nursing Management: The results highlight the importance of skills training to develop mindfulness and self-efficacy among nurses as a means of fostering resilience and positive psychological adjustment.
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http://dx.doi.org/10.1111/jonm.12820 | DOI Listing |
J Pain Res
January 2025
Department of Rehabilitation Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
Purpose: Pain is a multidimensional, unpleasant emotional and sensory experience, and accurately assessing its intensity is crucial for effective management. However, individuals with cognitive impairments or language deficits may struggle to accurately report their pain. EEG provides insight into the neurological aspects of pain, while facial EMG captures the sensory and peripheral muscle responses.
View Article and Find Full Text PDFCureus
December 2024
Biostatistics, The Oxford Center, Brighton, USA.
Using simulated data with duplicate observational data points, this research aims to highlight the notable efficiency of repeated measures analysis of variance (ANOVA) compared to one-way ANOVA as a more powerful statistical model. One of the principal advantages of repeated measures ANOVA is its design, in which each subject acts as their own control. This methodology allows for the statistical mitigation of individual differences among subjects, thereby reducing extraneous variability (noise) that can obscure the effects of the experimental conditions under investigation.
View Article and Find Full Text PDFJ Otol
October 2024
Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora, CO, USA.
Objective: To better understand the clinical phenotype of Ménière's disease (MD), we examined family history, thyroid disorder, migraine, and associated disorders in complaints of people living with MD.
Method: We designed the study as a retrospective and examined data gathered from 912 participants with MD. Their data were originally collected by the Finnish Ménière Federation (FMF).
Front Public Health
December 2024
AstraZeneca SpA, Milano Innovation District (MIND), Milano, Italy.
Background: Software as a Medical Device (SaMD) and mobile health (mHealth) applications have revolutionized the healthcare landscape in the areas of remote patient monitoring (RPM) and digital therapeutics (DTx). These technological advancements offer a range of benefits, from improved patient engagement and real-time monitoring, to evidence-based personalized treatment plans, risk prediction, and enhanced clinical outcomes.
Objective: The systematic literature review aims to provide a comprehensive overview of the status of SaMD and mHealth apps, highlight the promising results, and discuss what is the potential of these technologies for improving health outcomes.
Qual Life Res
January 2025
Department of Psychology, University of Turin (UniTO), Turin, Italy.
Purpose: Prior evidence suggests that patients' Health Related Quality of Life (HRQoL) worsens after COVID-19. This study aimed to investigate HRQoL in Italian patients post-hospitalization for COVID-19, focusing on changes in physical and mental HRQoL over time since COVID-19 diagnosis.
Methods: A cohort of patients hospitalized for COVID-19 at Molinette Hospital in Turin, Italy, was contacted post-discharge to assess HRQoL using the SF-36 questionnaire.
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