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To understand the current situation of nurses' compassion competence and analyse the characteristics and influencing factors of different categories of nurses' compassion competence based on latent profile analysis, to provide a theoretical basis for formulating targeted compassion training programmes.
A cross-sectional study.
From June to October 2023, 550 nurses from tertiary grade A hospitals in Shandong province were selected by convenience sampling and investigated by utilising a demographic characteristics questionnaire, the Compassion Competence Scale for the Nurses, the Mindful Attention Awareness Scale and the Maslach Burnout Inventory-Human Service Survey. Latent profile analysis was performed to explore the potential categories of nurses' compassion competence, and single-factor analysis and logistic regression analysis were used to explore the related influencing factors.
A total of 513 nurses were included. The compassion competence of nurses could be divided into four categories: the compassion competence deficient group (7.56%), the compassion competence low-imbalanced group (15.35%), the compassion competence high-balanced group (50.38%) and the compassion competence excellent group (26.70%). Department, years of working, humanistic care training experience, whether work is supported by colleagues and leaders, mindfulness and job burnout were the influencing factors of different potential categories (all p < 0.05).
There are four categories into which nurses' compassion competency can be categorised. Nursing managers and medical institutions can formulate precise training methods that enhance nurses' compassion competency based on the traits of various nurse categories in order to improve the quality of nursing service.
The results of this study help to understand the categories and heterogeneity of nurses' compassion competence and provide a basis for nursing managers and medical institutions to improve the compassion competence of different categories of nurses.
All participants were nurses who completed an electronic questionnaire related to this study.
Deep vein thrombosis (DVT) is a frequent complication following endovascular thrombectomy (EVT) in patients with acute ischaemic stroke (AIS), potentially leading to fatal pulmonary embolism (PE). Identifying patients early at high risk for DVT is clinically important. This study developed and validated a nomogram combining laboratory findings and clinical characteristics to predict the risk of lower-extremity DVT after EVT in patients with AIS.
This retrospective multicentre observational study was conducted in two tertiary hospitals in China, enrolling 640 patients who underwent ultrasonography for DVT diagnosis within 10 days following EVT. Data on medical history, examination and laboratory results were collected for logistic regression analyses to develop a DVT risk nomogram.
Logistic regression analyses identified critical predictors of DVT: lower limb National Institutes of Health Stroke Scale (NIHSS) score ≥ 2, elevated D-dimer levels (≥ 1.62 mg/L) and prolonged puncture-to-recanalization time (PRT ≥ 66 min). The nomogram demonstrated good discriminative ability (AUC 0.741–0.822) and clinical utility across internal and external validation cohorts. Additionally, the presence of DVT was significantly associated with reduced functional independence at 90 days post-EVT, highlighting the negative impact of DVT on patient recovery (OR = 3.85; 95% CI: 2.18–6.78; p < 0.001).
The study provides a practical clinical tool for early detection and intervention in patients with AIS at high risk for DVT following EVT. Early identification and intervention may help improve outcomes in patients with AIS undergoing EVT.
This nomogram helps in the early detection and proactive management of DVT in AIS patients, which can reduce severe complications and improve patient recovery outcomes.
No patient or public contributions were involved in this study due to its retrospective design, where data were utilised from existing medical records without direct patient interaction.
This review aims to explore factors influencing family resilience in families providing care for patients with cancer and to provide suggestions for future research directions.
Six electronic databases were searched including Web of Science, CINAHL, EMBASE, PsycINFO, PubMed and CNKI from their inception to December 2023. The article reference lists were also manually searched. The Mixed Method Appraisal Tool was used to assess the included studies in this review. The 27-item checklist Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was followed to report this review.
Twenty-one studies from six online databases reported that either individual or family factors have effects on family resilience and were described into five clusters on the basis of the Walsh model of family resilience, including demographic and clinical factors, personal strengths and resources, family stressors, family resilient coping processes and family resilient adaptation outcomes.
Family resilience in cancer families plays a pivotal role in coping with family stressors and facilitating positive outcomes through domains of coping. Future researches need to explore factors related to family resilience from dyadic perspectives and to establish multidisciplinary intervention strategies for developing levels of family resilience in cancer families.
PROSPERO: CRD42024535349
This study explores the link between mindfulness, compassion competence and job burnout among nurses, and analyses the mediating role that compassion competence plays in this relationship.
Understanding nurses' mindfulness, compassion competence and job burnout is important, which could help devise interventions to relieve burnout in clinical nurses.
This study adopts convenience sampling method and descriptive design quantitative research. A cross-sectional study of 513 nurses was conducted from June to October 2023 in mainland China. The Socio-demographic Questionnaire, Mindful Attention Awareness Scale, Maslach Burnout Inventory-Human Service Survey and Compassion Competence Scale for the Nurses were utilised to gather basic demographic information on nurses and to evaluate their level of mindfulness, compassion competence and job burnout. Descriptive statistics, Spearman's correlation analyses and structural equation model were used to analyse the data.
Five hundred and thirteen valid questionnaires were gathered. Spearman's correlation analysis revealed a strong negative link between mindfulness and job burnout, and between compassion competence and burnout, and a significant positive correlation between mindfulness and compassion competence. The results of the mediation analysis revealed that the relationship between mindfulness and job burnout was partially mediated by compassion competence, and the mediating effect accounted for 18.6% of the total effect.
Compassion competence performed as a partial mediator between mindfulness and job burnout among nurses. Nursing managers could enhance nurses' mindfulness level and compassion competence through Mindfulness interventions and Compassion training to reduce their burnout.
This study offers a fresh viewpoint on enhancing clinical nurses' compassion competence and reducing job burnout. Healthcare organisations and medical institutions can mitigate nurses' job burnout by improving their mindfulness levels and compassion competence.
The study used the STROBE checklist for reporting.
All participants were nurses who completed an electronic questionnaire related to this study.
To investigate the independent and combined effects of physical activity (PA) and depressive symptoms on the risk of frailty in community-dwelling older adults.
Older adults face a high risk of frailty which is commonly used to predict adverse health outcomes in older patients. Engaging in PA and without depressive symptoms are crucial factors to prevent frailty. It is essential to investigate the independent and combined effects of these two variables on the risk of frailty.
We included 3392 community-dwelling older adults. The FRAIL Scale was used to assess older adults' frail status (robust, prefrail and frail). Multiple logistic regression was utilized to examine the independent and combined effects of PA and depressive symptoms on the risk of prefrailty and frailty. The combined effects were visualized by marginal plots.
The prevalence of prefrailty and frailty in older adults were 42.16% and 10.58%. Compared with the group of “Light physical activity and With depressive symptoms”, “Vigorous physical activity and Without depressive symptoms” had the lowest risk of prefrailty and frailty.
Older adults who do not engage in PA or have depressive symptoms increased the risk of frailty, but older adults with depressive symptoms could lower the risk of frailty through PA.
It is effective to reduce the risk of frailty by directing older adults to do moderate physical activity, although they have depressive symptoms. The focus should also be on older adults with depressive symptoms, who have at least more than twice and fourfold risk of prefrailty and frailty compared to those without.
This study offers insights for future interventions aimed at preventing frailty in older adults.
This study adhered to the STROBE checklist.
Older adults participated in this study and completed questionnaires.
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