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To combine the Job Demand-Resource (JD-R) model with machine learning (ML) techniques to identify the key factors affecting job burnout (JB) among Chinese nurses.
A Cross-Sectional Study.
This study utilised a stratified sampling method to recruit 3449 eligible nurses from eight cities in Shandong Province between June and December 2021. After data cleaning, 2998 valid samples were retained. The dataset was randomly split into a training set (75%) and a test set (25%). The Boruta algorithm was used to select relevant variables for model construction. Six-millilitre models were compared using cross-validation, with mean absolute error (MAE), root mean square error (RMSE) and R-squared (R 2) used to select the best model. The Shapley Additive Explanation (SHAP) method was used to identify key predictors of JB.
The average JB score among nurses was (32.88 ± 11.45). Among the 20 variables, 17 were identified by the Boruta algorithm as strongly associated with JB, including 7 job demand-related variables and 10 job resource-related variables. After comparing 6-ml models, the Random Forest was identified as the optimal model (MAE = 6.56, RMSE = 8.86, R 2 = 0.63). SHAP analysis further revealed the importance ranking of these 17 variables and identified four key predictors: psychological distress (SHAP = 4.07), perceived organisational support (SHAP = 2.03), emotional intelligence (SHAP = 1.81) and D-type personality (SHAP = 1.73).
By integrating the JD-R model framework, ML algorithms proved effective in identifying critical predictors of nurses' JB. SHAP analysis identified four primary determinants: psychological distress, perceived organisational support, emotional intelligence and D-type personality. These findings provide novel insights for nursing administrators to optimise intervention strategies.
Not applicable.
This study did not include patient or public involvement in its design, conduct or reporting.
Compression therapy is the cornerstone, first-line effective evidence-based treatment for healing and managing venous leg ulcers. However, compression therapy is inconsistently applied in hospitals. This paper explores the experiences of a diverse group of clinicians and senior managers applying compression therapy in hospitals across the United Kingdom. A semi-structured qualitative interview study was conducted with 19 participants, drawn from a larger study, who confirmed that their respective hospitals apply compression therapy to inpatients with venous leg ulcers. The interviews were analysed using reflexive thematic analysis. Analysis generated four key themes: Patients ‘slip through the net’, Prioritisation in Hospital Care, A ‘blind Spot’ within Healthcare System and Motivation to Deliver Care. Patients ‘slip through the net’ refers to inpatients with venous leg ulcers face unequal access to compression therapy both within and between hospitals. Prioritisation in Hospital Care indicates how certain diseases are given greater emphasis within healthcare systems. A ‘blind Spot’ in Healthcare System described failing to implement compression therapy has created a critical underlying ‘blind spot’ within the NHS healthcare systems. Motivation to Deliver Care refers to a deep commitment to providing compression therapy, driven by clinicians' inherent dedication and ethical obligation towards improving patient quality of care. The study identified key challenges influencing the application of compression therapy in acute hospitals despite its routine use. These include the lottery of care, systemic inequities, unclear ownership, interprofessional disputes and organisational priorities. It also demonstrated the significant role of passion, motivation and moral responsibility encouraging clinicians to implement compression therapy despite these systemic barriers.
To explore the competency of nursing graduates from the four dimensions of clinical practice, research ability, teaching ability and management ability, analyse its influencing factors and provide data support for improving the post ability of nurses with a master's degree.
In September 2024, a convenience sampling method was used to administer a self-designed questionnaire regarding post-graduation post-competency to 330 nursing master's degree graduates from 68 tertiary hospitals and five medical universities across China.
The average scores of clinical competence, research competence, teaching competence and management competence of nursing graduates were more than 7 (out of 10 points). Based on the Benner model, all the abilities of the participants were at the level of competent. Multivariate linear regression analysis indicated that marital status (p < 0.001), years since graduation (p < 0.001), major (p < 0.001) and et al., significantly influenced clinical competency. Furthermore, marital status, major, hospital rank and graduate type were key research competency factors. For teaching competency, major, training nature and professional title played a crucial role, whereas major, professional title, marital status and hospital rank were essential for management competency. Multivariate logistic regression analysis indicated that job position (χ 2 = 11.375, p = 0.01) significantly influenced SCI publication, whereas the training nature and type of graduate school were independent factors affecting publication in Chinese core journals. Moreover, years since graduation and professional title were independent factors that influenced the publication of scientific core journals.
The post-competency scores of nursing master's degree graduates in the four dimensions of clinical, research, teaching and management were moderate, indicating substantial potential for enhancement. Managers should develop personalised training programs based on different factors that influence the overall competency of nursing master's degree graduates, thereby improving nursing quality and ensuring patient safety.
With an aging population worldwide, pressure injury (PI) is becoming a critical challenge for healthcare professionals. We aimed to investigate the difference in PI trend globally across age groups from 1990 to 2021.
This study utilized data from the Global Burden of Diseases (GBD) 2021 to determine the age-standardized incidence rate (ASR) of PI stratified by age groups from 1990 to 2021. Estimated annual percentage changes (EAPCs) were calculated to measure corresponding temporal trends.
Over three decades, the incident cases of PI have doubled from 1.1 million to 2.5 million worldwide. The incidence of PI showed an exponential rise with increasing age groups in 2021. The significant increasing trends were observed in the population aged 20–54 years (EAPC = 0.11) and 55+ years (EAPC = 0.55) from 1990 to 2021. The ASR among males has increased from 32.53 to 33.34 per 100,000 population, with an EAPC of 0.27, while the ASR among females decreased. The ASR was increased with higher income levels and the highest ASR was observed in the high-income region (49.95 per 100,000 population). Among six regions, the Americas had the highest ASR in 2021 (90.20 per 100,000 population), while South-East Asia showed the fastest increase (EAPC = 1.22).
The global burden of PI is a growing global health problem among the elderly population, particularly in the Americas. A greater incidence burden in males and high-income level regions was found. This study advocates for urgent attention to coping strategies for aging populations and older people with PI.
This study advocates for urgent attention to coping strategies for aging populations.
To assess career satisfaction among Chinese nurses, explore influencing factors, and examine the mediating role of role breadth self-efficacy (RBSE) in the relationship between subjective age and career satisfaction.
A multi-centre, cross-sectional study.
Between June and October 2024, 2033 questionnaires were distributed to nurses across seven geographic regions in China, collecting data on demographics, subjective age, RBSE, and career satisfaction. Descriptive statistics, Pearson correlation analysis, multiple linear stepwise regression, and path analysis were used to identify determinants of career satisfaction and test the mediating effect of RBSE.
The effective response rate was 97%. Chinese nurses reported moderate-to-high career satisfaction, younger subjective age relative to chronological age, and moderate RBSE levels. Multivariate linear regression analysis identified education level, work institution, salary, weekly working hours, subjective age, and RBSE as significant predictors of career satisfaction. Path analysis revealed a significant negative association between subjective age and career satisfaction (β = −0.23, p < 0.001), which was partially mediated by RBSE (indirect effect = −0.11, 95% CI: −0.18 to −0.05).
The career satisfaction of Chinese nurses is at a moderately high level; the influencing factors include the intensity of nursing work and salary levels. There is a certain difference between the subjective age and the chronological age of Chinese nurses. RBSE partly mediates the relationship between subjective age and career satisfaction.
Valuing the breadth of nurses' roles, self-efficacy, and subjective age may help improve job satisfaction.
What problem did the study address?: This study elucidates the present level of career satisfaction among nurses in China and the variables affecting it. What were the main findings?: The subjective age of Chinese nurses influences career satisfaction, with RBSE partly mediating the connection between subjective age and career satisfaction. Where and on whom will the research have an impact?: This study presents novel variables of subjective age and RBSE in the investigation of factors influencing career satisfaction among Chinese nurses, offering new avenues for enhancing career satisfaction in this demographic in the future.
We adhered to STROBE guidelines for cross-sectional research.
This study did not include patient or public involvement in its design, conduct, or reporting.
This study examined the moderating effects of income inequality and nurse–patient relationships on the association between occupational stress and nurse turnover intentions in large urban hospitals in China, providing evidence for developing targeted retention strategies.
A cross-sectional study.
Data from 13,298 nurses in 46 hospitals in Xi'an, China (October–December 2023) were analysed using hierarchical regression to assess associations between occupational stress, organisational and professional turnover intentions and the moderating roles of the expected income achievement rate (calculated as [actual/expected income] × 100%) and nurse–patient relationship quality.
Eighty-three percent of nurses reported moderate-to-severe occupational stress. Compared to nurses experiencing mild stress, those with moderate/severe stress demonstrated significantly higher organisational and professional turnover intentions. After adjusting for covariates, significant interaction effects were observed. Higher expected income achievement rate showed a modest but significant moderating effect, associated with reduced turnover intentions. While the nurse–patient relationship also moderated this relationship, its protective effect was attenuated under conditions of severe stress. Despite small effect sizes, the consistent patterns and theoretical coherence of these interactions warrant further investigation.
Occupational stress significantly predicts nurse turnover intentions in urban Chinese hospitals, with income inequality and nurse–patient relationship quality serving as modifiable moderating factors. Interventions should integrate equitable compensation, nurse–patient relationship enhancement programmes and stress management initiatives.
This study demonstrates that equitable income consistently buffers the effects of occupational stress on nurse turnover, while nurse–patient relationships show stress-level-dependent moderation. By implementing region-specific compensation benchmarks and structured communication training, healthcare policymakers can effectively address economic security and relational care quality in workforce stabilisation.
The study has been reported following the STROBE guidelines.
No patient or public contribution.
In recent years, the critical role of health literacy in diabetes management has become increasingly prominent. The aim of this study was to investigate the impact of social support on health literacy among patients with diabetes, to test the mediating role of self-efficacy and empowerment between social support and health literacy, and the moderating role of eHealth literacy.
A cross-sectional study conducted between August 2023 and June 2024.
This study adopted the cluster sampling method and conducted a questionnaire survey among 251 patients with diabetes in a tertiary hospital in Wuhu City, Anhui Province. The questionnaires included the Social Support Rating Scale, the Self-Efficacy for Diabetes scale, the Health Empowerment Scale, the eHealth Literacy Scale and the Diabetes Health Literacy Scale.
Social support was positively associated with health literacy in patients with diabetes. Self-efficacy and empowerment mediated the relationship and formed chained mediation pathways respectively. eHealth literacy has a moderating role between self-efficacy and empowerment.
The results revealed that social support influences health literacy among patients with diabetes through the mediating pathways of self-efficacy and empowerment, and that this process is moderated by eHealth literacy. These findings provide a theoretical basis and practical insights for improving health literacy among patients with diabetes.
Enhancing health literacy among people with diabetes by strengthening social support, self-efficacy and empowerment levels, while focusing on the technology-enabling role of eHealth literacy in this context.
This study adheres to the relevant EQUATOR guidelines based on the STROBE cross-sectional reporting method.
We thank all patients who participated in the study for their understanding and support.
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