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This study aims to investigate whether higher levels of depression predict increased physical frailty over time and whether worsening physical frailty predicts higher levels of depression over time, at both the between-person and within-person levels.
A longitudinal study.
A total of 269 patients who underwent cardiac surgery were included in this study at T1 (admission). We followed up depression and physical frailty at T2 (the seventh day after surgery), T3 (the day before discharge), and T4 (the three-month follow-up). To determine the temporal order of the association between depression and physical frailty at both between-person or within-person levels, we employed the cross-lagged panel model (between-person effects), and random intercept cross-lagged panel model (within-person effects).
The cross-lagged panel model findings revealed a time-dependent shift in directionality: physical frailty initially predicted depression between T1 and T2, whereas depression subsequently emerged as a significant predictor of physical frailty from T2 to T4. These between-person effects suggest that the dominant direction of influence may vary across different perioperative stages. Notably, the random intercept cross-lagged panel model results identified a robust unidirectional within-person effect, indicating that increases in depression consistently predicted subsequent increases in physical frailty over time, while the reverse pathway was not statistically significant. This finding underscores the potential causal role of depression in driving physical frailty progression, beyond the influence of stable between-person characteristics.
This study advances understanding of the depression-physical frailty relationship in middle-aged and older cardiac surgery patients by delineating temporal precedence and disentangling within- and between-person effects. Depression emerges as a key driver of physical frailty, underscoring the need to prioritize its management in postoperative care protocols. Future research should explore mechanisms linking intraindividual depression to physical frailty progression and evaluate integrated psychosomatic interventions to optimize recovery outcomes.
We have adhered to the STROBE guideline.
This study did not include patient or public involvement in its design, conduct, or reporting.
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.
The characteristics, application, and effectiveness of chatbots in improving the mental health of young people have yet to be confirmed through systematic review and meta-analysis.
This systematic review aims to evaluate the effectiveness of chatbot-delivered interventions for improving mental health among young people, identify factors influencing effectiveness, and examine feasibility and acceptability.
To identify eligible interventional studies, we systematically searched 11 databases and search engines covering a publication period of January 2014 to September 2024. Meta-analyses and subgroup analyses were performed on randomized controlled trials to investigate the effectiveness of chatbot-delivered interventions and potential influencing factors. Narrative syntheses were conducted to summarize the feasibility and acceptability of these interventions in all the included studies.
We identified 29 eligible interventional studies, 13 of which were randomized controlled trials. The meta-analysis indicated that chatbot-delivered interventions significantly reduced distress (Hedge's g = −0.28, 95% CI [−0.46, −0.10]), but did not have a significant effect on psychological well-being (Hedge's g = 0.13, 95% CI [−0.16, 0.41]). The observed treatment effects were influenced by factors including sample type, delivery platform, interaction mode, and response generation approach. Overall, this review demonstrates that chatbot-delivered interventions were feasible and acceptable.
This review demonstrated that chatbot-delivered interventions had positive effects on psychological distress among young people. Chatbot-delivered interventions have the potential to supplement existing mental health services provided by multidisciplinary healthcare professionals. Future recommendations include using instant messenger platforms for delivery, enhancing chatbots with multiple communication methods to improve interaction quality, and refining language processing, accuracy, privacy, and security measures.
This study aims to examine the chain-mediating effects of affective reactions and burnout on the relationship between workplace violence and work performance among nurses while distinguishing between physical and psychological violence.
A longitudinal study was conducted between October 2020 and October 2022. The study took place in four tertiary hospitals of Shandong Province, China. A total of 1086 nurses were recruited.
Workplace psychological violence, workplace physical violence, work performance, affective reactions (including anxiety and depressive symptoms) and burnout were assessed using self-report questionnaires. Data were analysed using multiple linear regressions and structural equation modelling on SPSS and AMOS.
The STROBE checklist was used for this study.
Workplace psychological violence, but not physical violence, was associated with nurses' work performance. Burnout mediates the relationship between workplace psychological violence and work performance. Affective reactions and burnout play serial intermediary roles in the relationship between workplace psychological violence and work performance.
Interventions aimed at reducing anxiety, depressive symptoms, and burnout among nurses who have experienced psychological violence may enhance their work performance.
Hospital administrators should prioritise the development of strategies to prevent psychological violence (e.g., anti-bullying training and counselling support) and enhance nurse performance through burnout screening and targeted interventions.
This study was conducted in Shandong Province, China, and relied on self-reported data, which may be subject to social desirability bias.
No patient or public contribution.
To explore the effects of telehealth-based exercise interventions on balance, motor function, walking ability and activities of daily living (ADLs) in patients with stroke.
Meta-analysis of randomised controlled trials.
This meta-analysis of randomised controlled trials was reported to follow the PRISMA statement and the Cochrane Handbook guidelines. The study employed either a fixed-effects model or a random-effects model according to the statistical heterogeneity observed.
The literature search was performed in six databases including PubMed, Embase, the Cochrane Central Register of Controlled Trials, Web of Science, PsycINFO and CINAHL from inception to December 2023.
A total of 15 randomised controlled trials were included in this meta-analysis. Most of the studies were evaluated for some concerns. The quality of the evidence in this analysis ranged from low to moderate in terms of the outcome. Meta-analysis revealed that telehealth-based exercise interventions presented significant effects on walking ability, motor function and ADLs in patients with stroke. Nonetheless, the balance remained unaffected by statistical significance.
Telehealth-based exercise interventions could effectively improve walking ability, motor function and ADLs in patients with stroke; however, the impact on balance was not significant. Telehealth-based exercise interventions are recommended for stroke survivors residing in remote areas or facing economic constraints.
This meta-analysis showed that telehealth-based exercise interventions could bring benefits to the rehabilitation of patients with stroke. Telehealth-based exercise interventions should be considered effective to better promote the rehabilitation of patients.
The study was reported in compliance with the PRISMA statement.
None.
PROSPERO (https://www.crd.york.ac.uk/PROSPERO): CRD42024501015
To identify key factors influencing readiness for hospital discharge and delve into the experiences of stoma patients regarding their discharge.
A mixed-methods study.
A total of 374 colorectal cancer patients with stomas were involved to assess discharge readiness and its influencing factors. Additionally, 28 stakeholders—comprising surgeons, nursing managers, surgical nurses, enterostomal therapists, stoma patients and their family caregivers—participated in semistructured interviews. Data on discharge readiness, discharge teaching quality, stoma self-efficacy and social support were collected using validated scales. In-depth interviews provided further insights into discharge preparation experiences. Multivariate logistic regression analysis using IBM SPSS 26.0 and thematic analysis via NVivo 12.0 were employed for data analysis.
Six variables accounted for 80% of the variance in discharge readiness: quality of discharge teaching, stoma self-efficacy, social support, age, gender and family income. Four main themes emerged: ambivalence towards discharge, insufficient preparation time, inadequate communication of discharge information and personal planning needs.
Discharge readiness among stomas patients is influenced by perceived discharge teaching quality, self-efficacy, social support, age, gender and family income. Insufficient preparation and poor communication hinder effective discharge information transfer. Enhanced, patient-centred discharge planning is expected to improve the transition from hospital to home.
To improve hospital discharge readiness and facilitate a smooth transition to family care, it is essential to implement patient-centred discharge planning.
Reported with the Mixed Methods Reporting in Rehabilitation & Health Sciences guidelines.
None.
ClinicalTrials.gov identifier: ChiCTR2200058756. https://www.chictr.org.cn/bin/home
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.
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