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To identify habitual dietary patterns in maintenance haemodialysis patients and analyse their association with malnutrition.
A multicentre cross-sectional dietary survey was conducted among 232 maintenance haemodialysis patients from three centres. A 3-day 24-h diet recall and demographic, clinical and therapeutic information were collected. Factor analysis was used to identify the major dietary patterns among haemodialysis patients. Logistic regression analysis was used to assess the relationship between dietary patterns and malnutrition risk.
Three dietary patterns were identified in this study and differed in age, gender and diabetes. An ‘animal foods and refined grains’ dietary pattern meets guideline requirements. A ‘fresh fruits and nuts’ dietary pattern had insufficient daily energy and protein intake with the lowest carbohydrates, lipids and minerals intake among haemodialysis patients. A ‘dairy products’ dietary pattern characterised by low calorie and moderate protein was found to be associated with malnutrition.
Habitual dietary patterns of maintenance haemodialysis patients were associated with personal characteristics, specifically age, gender and diabetes. Patients with habitual ‘dairy products’ dietary patterns may have poor nutritional status.
Educating haemodialysis patients about their daily diet pattern, rather than focusing on nutrients, is crucial and will help them to understand it better. Clinical staff can recognise patients at risk of malnutrition by a dietary pattern of lower intake of certain foods. They can recommend a balanced nutritional pattern that increases calories in the total diet and meets protein requirements.
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.
(i) To estimate the national incidence of unplanned removal of peripherally inserted central catheters (PICCs) in China. (ii) To explore the associated risk factors to provide evidence for the prevention.
A multi-centre prospective cohort study.
A representative sample of 3222 Chinese adult patients with successful PICC insertion was recruited for the PICC Safety Management Research (PATH) using a two-stage cluster sampling method from December 2020 to June 2022. Sixty hospitals from seven Chinese provinces representing all geographical regions were selected. Demographic information and PICC characteristics were collected using a standard online case report form. Risk factors for the unplanned removal of PICCs were assessed using a cause-specific hazard model and verified using a sub-distribution hazard model. STROBE guidelines were followed in reporting this study.
Three thousand one hundred and sixty-six patients were included in the final analysis with a mean age of 59 years and a total of 344,247 catheter days. The incidence of unplanned removal was 10.04%. Female, with thrombosis history, PICC insertion due to infusion failure, valved catheter and double-lumen catheter were risk factors, whereas longer insertion and exposure length were protective factors in the cause-specific hazard model. Higher BMI became an independent risk factor in the sub-distribution hazard model.
Unplanned removal of PICCs is a serious clinical challenge in China. Our findings call for prevention strategies targeting the identified risk factors.
Our study characterised the epidemiology of unplanned removal of PICCs among Chinese adult inpatients, highlighting the need for prevention among this population and providing a basis for the formulation of relevant prevention strategies.
Patients contributed through sharing their information required for the case report form. Healthcare professionals who provide direct care to the patient at each medical centre contributed by completing the online case report form.
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