Conectar
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.
To explore parents' experience when their children underwent emergence delirium during anaesthesia recovery.
A descriptive phenomenological qualitative study.
This descriptive phenomenological study was conducted at a medical center in Taiwan. Purposive sampling was employed, and a semi-structured interview guide was used to conduct in-depth interviews. Twelve parents whose children experienced emergence delirium were recruited after data saturation was reached. Data were collected between January and July 2024 and analysed using Colaizzi's seven-step method.
Parents underwent an unexpected journey characterised by emotional ups and downs when witnessing their child's emergence delirium. Four major themes were generated, including ‘unexpected chaos’, describing the disorienting situation parents experienced when confronted with their child's unfamiliar behaviours; ‘help beyond reach’, reflecting their inability to provide comfort despite being physically present; ‘a day of suffering’, highlighting the emotional overwhelm during the emergence delirium episode; and ‘appreciation after recovery’, illustrating their relief and gratitude once their child returned to baseline. These themes reveal the intense emotional fluctuations parents experience during this critical phase.
This study highlights the complex emotional fluctuations parents experience when facing their child's emergence delirium. The findings emphasise the need for anticipatory guidance and support strategies to better prepare parents and inform family-centred nursing practices.
This study addresses a gap regarding the emotional challenges experienced by East Asian parents when their child undergoes emergence delirium. The findings reveal complex parental distress shaped by internal worry and external social pressure in shared recovery spaces. These insights inform culturally sensitive care models, emphasising the importance of private environments and communication strategies that reduce parental stress and improve clinical support.
Two parents reviewed and provided feedback on the interview content and results, improving cultural relevance and clarity.
The study followed COREQ guidelines.
To map the evidence on patient engagement in mobile technology-based rehabilitation for arthroplasty, including outcome indicators, data collection methods, assessment results, facilitators and barriers, and promoting strategies.
A scoping review.
This study was conducted using a five-stage methodological framework, which included identifying the research questions, identifying relevant studies, selecting the studies, charting the data, and collating, summarising, and reporting the results.
Ten computerised databases were searched to identify eligible studies published between January 2015 and March 2024.
Forty-seven studies were included in this review. Most studies used data on patient adherence to interventions and programme usage to indicate patient engagement in mobile arthroplasty rehabilitation. Data were primarily collected through mobile device records and online or paper-based surveys. Over half of the studies reported a high level of patient engagement in mobile arthroplasty rehabilitation. Patient engagement was influenced by individual and environmental factors, such as the design of programmes, patients' ability to engage with technology, and the accessibility and functionality of equipment. Strategies to promote patient engagement include applying user-centred design principles, offering support from healthcare professionals, caregivers, and peer patients, and employing behaviour-changing strategies.
Existing studies have shown promising results in patient adherence to and use of mobile arthroplasty rehabilitation programmes. Further research can explore engaging patients in programme development, optimising outcome evaluation and data collection, identifying the mechanisms of patient engagement, and testing the effectiveness of promoting strategies.
The study findings provide practical implications for nurses and other healthcare professionals to deepen their understanding of patient engagement in mobile arthroplasty rehabilitation. They may consider employing strategies, such as user-centred design, to enhance patient engagement in mobile rehabilitation programmes, thereby improving patient care.
This review adhered to the PRISMA-ScR checklist.
No patient or public contribution.
This study uses a convergent mixed methods approach to investigate the frailty phenotypes and risk factors in peritoneal dialysis (PD) patients.
A cross-sectional mixed methods research study was employed.
This study follows the MMR-RHS reporting guidelines. From November 2023 to August 2024, 213 patients were recruited from the PD centre of a tertiary hospital in Chongqing, China. Quantitative data were collected using a general information questionnaire and standardised scales, including Fried Frailty Phenotype (FFP), Charlson Comorbidity Index (CCI), Mini Nutritional Assessment-Short Form (MNA-SF), Montreal Cognitive Assessment (MoCA) and Hospital Anxiety and Depression Scale (HADS). Concurrently, 19 PD patients in pre-frail or frail states participated in semi-structured interviews. The quantitative and qualitative findings were then integrated for analysis.
Amongst the 213 PD patients, 46.5% were non-frail, 41.3% were pre-frail and 12.2% were frail. Integrated analysis indicated that fatigue and low muscle strength were the primary frailty phenotypes amongst the patients. Age, sedentary behaviour, comorbidities, nutritional status, cognitive function, polypharmacy, psychological state and social connections were identified as risk factors for frailty in this patient population.
Many factors influence the frailty of PD patients. Future research should further explore the complex interactions amongst these factors and effective modulation strategies to mitigate the frailty progression. Incorporating the patients' perspectives in designing comprehensive intervention programmes will help identify key challenges and focal points for intervention.
This study identifies risk factors for frailty in PD patients, offering healthcare professionals a basis for designing targeted interventions. These factors encompass multiple dimensions, indicating the need for multidisciplinary collaboration in managing frailty.
The PD patients in this study provided valuable quantitative data and shared their frailty experiences, enhancing the research conclusions' practical value.
by Xin Zhang, Zijian Xi, Min Yang, Xiuqin Zhang, Ruikai Wu, Shuang Li, Lu Pan, Yuan Fang, Peng Lv, Yan Ma, Haiping Duan, Bingling Wang, Kunzheng Lv
BackgroundIt is crucial to comprehend the interplay between air pollution and meteorological conditions in relation to population health within the framework of "dual-carbon" targets. The purpose of this study was to investigate the impact of intricate environmental factors, encompassing both meteorological conditions and atmospheric pollutants, on respiratory disease (RD) mortality in Qingdao, a representative coastal city in China.
MethodsThe RD mortality cases were collected from the Chronic Disease Surveillance Monitoring System in Qingdao during Jan 1st, 2014 and Dec 31st, 2020. The distributed-lag nonlinear model and generalized additivity model were used to assess the association between daily mean temperature (DMT), air pollutant exposure and RD mortality. To ascertain the robustness of the model and further investigate this relationship, a stratified analysis and sensitivity analysis were conducted to mitigate potential confounding factors.
ResultsA total of 19,905 mortalities from RD were recorded. The minimum mortality temperature (MMT) was determined to be 23.5°C, and DMT and RD mortality showed an N-shaped relationship. At the MMT of 23.5°C, the cumulative relative risk (cumRR) for mortality within a lag period of 0–14 days from the highest temperature (31°C) was estimated at 2.114 (95% confidence interval [CI]: 1.475 ~ 3.028). The effect value of particulate matter (PM) also increased with a longer cumulative lag time. In the single pollutant model, the highest risk of RD mortality was observed on the lag1-day of per 10 μg/m3 increase in PM2.5 exposure, with an excess risk ratio (ER) of 0.847% (95% CI: 0.335% ~ 1.362%). The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). A similar trend was found for PM10. For O3 exposure, the highest risk was observed on the lag1-day of per 10 μg/m3 increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. Subgroup analysis showed that females, elderly individuals, and those exposed during warm seasons demonstrated greater susceptibility to PM exposure.
ConclusionThe present study revealed a significant association between short-term exposure to high temperature, PM2.5, PM10 and O3 and the risk of RD mortality in Qingdao, even in dual- and composite-pollutants models. Furthermore, our findings indicate that females, the elderly population, and warm seasons exhibit heightened sensitivity to PM exposure.
by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang
Diabetic retinopathy, a retinal disorder resulting from diabetes mellitus, is a prominent cause of visual degradation and loss among the global population. Therefore, the identification and classification of diabetic retinopathy are of utmost importance in the clinical diagnosis and therapy. Currently, these duties are extensively carried out by manual examination utilizing the human visual system. Nevertheless, manual examination is sometimes arduous, time-consuming, and prone to errors. Deep learning-based methods have recently demonstrated encouraging results in several areas, such as image categorization and natural language mining. The majority of deep learning techniques developed for medical image analysis rely on convolutional modules to extract the inherent structure of images within a certain local receptive field. Furthermore, transformer-based models have been utilized to tackle medical image processing problems by capitalizing on global connections among distant pixels in the images. Considering these analyses, this work presents a comprehensive deep learning model that combines convolutional neural network and vision mamba models. This model is designed to accurately identify and classify diabetic retinopathy lesions displayed in fundus images. Furthermore, the vision mamba component incorporates the bidirectional state space method and positional embedding to enable the location sensitivity of visual data samples and meet the conditions for global relationship context. An evaluation of the suggested method was carried out by comparison experiments between state-of-the-art algorithms and the proposed methodology. Empirical findings demonstrate that the suggested methodology surpasses the most advanced algorithms on the datasets that are accessible openly. Hence, the suggested approach may be regarded as a helpful tool for therapeutic processes.The aim of this study was to understand the dynamic changes in the needs of patients with enterostomy during the 3 months after discharge and its possible influencing factors.
A prospective observational design.
This study investigated the supportive care needs of patients who underwent colorectal cancer surgery with colostomy in three Chinese hospitals from May 2023 to October 2023 during the 3 months following discharge from the hospital. The growth mix model was used to describe the needs trajectory and analyse the heterogeneity of the trajectory. Univariate analysis was used to find the factors that might affect the heterogeneity of needs trajectory of patients with enterostomy, and then logistic regression analysis was used to determine the influencing factors of the heterogeneity of needs trajectory of patients with enterostomy. The reporting of this study adhered to the STROBE checklist.
A total of 232 patients with enterostomy completed follow-up. There was heterogeneity in the developmental trajectories of supportive care needs of enterostomy patients and the trajectories of the five dimensions of supportive care needs. The heterogeneity factors affecting the trajectory of supportive care needs included the enterostomy patient's psychosocial adjustment score, type of enterostomy, and educational background and the heterogeneity factors affecting the five dimensions trajectory of supportive care needs include psychosocial adjustment score, tumour staging, type of enterostomy, smoking, chemotherapy and enterostomy self-care knowledge score.
The needs of patients with enterostomy within 3 months after discharge were dynamic. Identifying and meeting the unmet needs of patients with enterostomy was crucial to improving the health-related quality of life of patients with enterostomy.
None.
The needs of patients with enterostomy were dynamic, with the needs of most patients with enterostomy decreasing within 3 months of discharge, but some patients with enterostomy continued to have high needs at 3 months after discharge, and clinical nurses were expected to pay special attention to these patients.
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.
The aim of this research is to explore the therapeutic efficacy of platelet-rich plasma (PRP) on the cutaneous ulceration of diabetes mellitus (DM). From the beginning of the database until January 2024, we looked through several databases to obtain randomised, controlled PRP studies to treat the wound healing of DM in adult patients. The Cochrane Collaboration's Risk-Of-Bias Instrument was used to evaluate the risk of bias in randomised, controlled studies. Funnel plots, sensitivity analyses and Egger regression tests were employed to determine the reliability and effectiveness of the meta-analyses. Depending on the degree of heterogeneity, a fixed or random effect model has been used. The statistical significance was determined to be below 0.05. Altogether 281 trials were collected from the database and entered into Endnote Software for screening, and 15 trials were analysed. It was found that PRP was associated with a higher rate of wound healing (OR, 3.23; 95% CI, 2.42, 4.31 p < 0.0001). PRP was associated with a reduction in the risk of post-operative wound infection (OR, 0.46; 95% CI, 0.21, 0.99 p = 0.05). PRP was associated with a reduction in the risk of amputations amongst those with DM (OR, 0.50; 95% CI, 0.30, 0.84 p = 0.009). Overall, PRP treatment for DM is expected to improve the rate of wound healing, decrease the risk of wound infection and decrease the risk of amputations.
This study aimed to explore the psychosocial adjustment of enterostomy patients on a national scale.
Based on a national cross-sectional survey.
From December 2021 and February 2023, a total of 22,040 enterostomy patients were assessed using the ostomy adjustment inventory-20. Initial analysis involved employing the chi-square test or Kruskal-Wallis H test to identify factors influencing the psychosocial adjustment of these patients. Subsequently, multinomial logistic regression was used to determine the factors affecting the classification of psychosocial adjustment levels of enterostomy patients. The reporting of this study adhered to the STROBE checklist.
Eventually 21,124 patients with enterostomy were included in this study, out of which 7788 (36.9%) patients with low level of psychosocial adjustment, 11,803 (55.8%) patients with medium level of psychosocial adjustment and 1533 (7.3%) patients with high level of psychosocial adjustment. The factors influencing the classification of psychosocial adjustment levels of enterostomy patients were gender, educational background, carer, enterostomy self-care knowledge score and medical payment method.
The overall psychosocial adjustment level of enterostomy patients is not optimistic, and the factors that may affect the classification of their psychosocial adjustment level are analysed. Individualised intervention should be given according to different psychosocial adjustment levels of enterostomy patients.
The number of enterostomy patients with a high level of psychosocial adjustment is small in relation to the total number of enterostomy patients, and caregivers can provide health education to enterostomy patients by analysing the factors affecting the level of psychosocial adjustment of enterostomy patients.
None.
To develop a nomogram to provide a screening tool for recognising patients at risk of post-operative pain undergoing abdominal operations.
Risk prediction models for acute post-operative pain can allow initiating prevention strategies, which are valuable for post-operative pain management and recovery. Despite the increasing number of studies on risk factors, there were inconsistent findings across different studies. In addition, few studies have comprehensively explored predictors of post-operative acute pain and built prediction models.
A prospective observational study.
A total of 352 patients undergoing abdominal operations from June 2022 to December 2022 participated in this investigation. A nomogram was developed for predicting the probability of acute pain after abdominal surgery according to the results of binary logistic regression. The nomogram's predictive performance was assessed by discrimination and calibration. Internal validation was performed via Bootstrap with 1000 re-samplings.
A total of 139 patients experienced acute post-operative pain following abdominal surgery, with an incidence of 39.49%. Age <60, marital status (unmarried, divorced, or widowed), consumption of intraoperative remifentanil >2 mg, indwelling of drainage tubes, poor quality sleep, high pain catastrophizing, low pain self-efficacy, and PCIA not used were predictors of inadequate pain control in patients after abdominal surgery. Using these variables, we developed a nomogram model. All tested indicators showed that the model has reliable discrimination and calibration.
This study established an online dynamic predictive model that can offer an individualised risk assessment of acute pain after abdominal surgery. Our model had good differentiation and calibration and was verified internally as a useful tool for risk assessment.
The constructed nomogram model could be a practical tool for predicting the risk of experiencing acute post-operative pain in patients undergoing abdominal operations, which would be helpful to realise personalised management and prevention strategies for post-operative pain.
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines were adopted in this study.
Before the surgery, research group members visited the patients who met the inclusion criteria and explained the purpose and scope of the study to them. After informed consent, they completed the questionnaire. The patients' pain scores (VAS) were regularly assessed and documented by the bedside nurse for the first 3 days following surgery. Other information was obtained from medical records.
To evaluate the efficacy of cognitive behavioural therapy (CBT) as a psychological intervention for elderly patients with extensive burns, focusing on its impact on emotional well-being, self-efficacy and quality of life. A prospective, randomized study involving 200 elderly burn patients was conducted from November 2021 to January 2023. The patients were randomly assigned to receive either standard care (control group) or burn care based on cognitive behavioural therapy (CBT-B) (study group), with 100 patients in each group. Outcome measures included the Visual Analog Scale (VAS) for pain assessment, 36-item Short Form Survey (SF-36) for quality of life, General Self-Efficacy Scale (GSES) and Rosenberg Self-Esteem Scale (RSES). The study revealed that CBT-based intervention significantly reduced anxiety and depression scores compared with standard care (p < 0.05). Additionally, patients in the CBT group exhibited improved self-efficacy, self-esteem and quality of life (p < 0.05). CBT proves to be a valuable intervention for elderly burn patients, effectively addressing emotional distress and enhancing their psychological well-being. By modifying negative cognitive patterns, providing coping mechanisms and fostering problem-solving skills, CBT-based care contributes to a more positive recovery experience and improved quality of life.
FreshRSS 