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This study aimed to systematically review Clinical Practice Guidelines (CPGs) for nutritional management of dementia and use evidence mapping to highlight research trends and identify gaps to inform future research.
A systematic review of guidelines using the PRISMA statement.
Systematically collect literature on dementia management CPGs from PubMed, Embase, Web of Science and guideline databases. Extract basic information, recommendations, methodological quality and reporting quality of the CPGs. Four researchers independently evaluated eligible CPGs using the AGREE II instrument and the RIGHT checklist. All recommendations from the CPGs were summarised and analysed, and evidence mapping bubble charts were created in Excel.
After excluding 5541 records, 10 CPGs were eventually proved eligible, 5 of which were of high quality and 5 of high quality. With 10 CPGs that combined 18 recommendations. The nutrition screening and assessment were summarised on the basis of the dementia recommendations for 4 major items, 7 items on nutritional interventions, 5 items on caring and 2 on education.
This review provides an evidence map and offers new perspectives on CPGs for nutritional management in dementia. However, there are improvements to the included CPGs, but most CPGs have a number of key recommendations that can help guide clinical practice.
The currently available guidelines on dementia nutritional management have room for methodological improvement.
To map evidence of the existing virtual reality-based dementia educational programmes and the effects of these educational programmes on dementia formal and informal caregivers.
A scoping review.
A comprehensive search of nine databases was conducted to find studies from the inception of the databases to October 2023. Two authors independently screened the titles and abstracts related to the eligibility criteria. Full texts of potentially relevant studies were read by one author and checked by a second. Data extraction and synthesis using NVivo 12 were undertaken by one author and checked by two other authors.
Nineteen studies published between 2002 and 2022. The four randomised controlled studies and five qualitative studies were of moderate to good methodological quality. The 10 quasi-experimental studies were of weak to moderate quality. Fifteen virtual reality-based educational programmes had a positive influence on formal and informal caregivers, including improving caregivers' perceptions changing attitudes towards people with dementia, while the nursing competence of formal caregivers did not improve in short term. Educational programmes that covered dementia-related information and care strategies better improved the knowledge level of dementia formal and informal caregivers.
The qualitative and quantitative studies of moderate to good quality included in this study support the idea that virtual reality-based dementia educational programmes may be a safe and effective way and have potential benefits for improving knowledge, perceptions, attitudes and nursing competence.
This scoping review will provide an emerging teaching model for formal and informal caregivers of people with dementia and help them better understand the types and the influence of virtual reality-based dementia educational programmes.
PRISMA-ScR.
Not required as this review in accordance with the aim to map existing literature from the dementia formal and informal caregivers' perspective.
To examine the relationship between ethical conflicts and ethical decision-making ability, ethical sensitivity and demographic factors as mediator/moderator roles.
A cross-sectional survey was conducted from June to December 2024.
This study involved 503 intensive care unit nurses from eight tertiary hospitals across Zhejiang, Guangdong and Guangxi provinces. Participants completed validated instruments including the Ethical Conflict Nursing Questionnaire-Critical Care Version, the Chinese Moral Sensitivity Questionnaire-Revised version and the Chinese Version of Judgement About Nursing Decision. SPSS 27.0 was used for descriptive statistics and Pearson correlation analysis, while PROCESS macro handled mediation and moderation analysis.
The relationship between ethical conflict and decision-making ability was significantly mediated by both moral responsibility/strength and burden, with the latter demonstrating a stronger indirect effect. Furthermore, exploratory moderated mediation analysis showed that this mediation model varied significantly across different levels of work experience and types of intensive care unit. Given the exploratory nature of these findings, they require verification in future confirmatory studies.
The association between ethical conflict and decision-making ability was mediated by ethical sensitivity. This pathway was moderated by work environment and qualifications, indicating the need for tailored interventions.
Developing nurses' ethical sensitivity is a key strategy for managers aiming to improve ethical decision-making when nurses face ethical conflicts.
This study addressed ambiguous findings regarding the relationship between ethical conflict and nurses' decision-making ability. For nurse managers, fostering ethical sensitivity among staff represents a key strategy for mitigating the ethical conflicts that are negatively associated with decision-making ability.
The strengthening the reporting of observational studies in epidemiology statement (STROBE) was followed.
No patient or public contribution.
Chinese Clinical Trial Registry (ChiCTR): MR-33-24-032956
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.
We aimed to identify the barriers and facilitators to participation in interventions aimed at improving cognitive function among older adults with type 2 diabetes mellitus (T2DM) and mild cognitive impairment (MCI) in rural areas.
This study is the qualitative phase of a larger randomised controlled trial and employs a descriptive approach.
We conducted in-depth, semi-structured face-to-face interviews with older adults diagnosed with T2DM and MCI in rural areas of China in November 2023. The interviews were guided by the Capability, Opportunity, Motivation, and Behaviour (COM-B) model and the Theoretical Domains Framework (TDF). The interview recordings were transcribed and analysed using NVivo V.11 software. Two research assistants independently coded the transcriptions, and the identified barriers and facilitators were mapped to the corresponding domains within the COM-B model and TDF.
A total of 26 older adults, aged 60–87, participated in the interviews. Nine themes were identified, including disease awareness, disease attitude, social interaction, responsibility and health, emotion guidance, organisational management, expertise and benefits, self-perception and role identity crisis. These themes mapped onto the three core components of the COM-B model as well as the nine domains of the TDF, which include: knowledge, environmental context and resources, social influences, intentions, emotions, reinforcement, beliefs about consequences, beliefs about capabilities and social identity.
Addressing barriers and leveraging facilitators can effectively enhance the willingness of elderly patients in rural areas to participate in interventions aimed at improving cognitive function. A multi-layered approach should be adopted, focusing on disease knowledge and attitudes, social interactions, the impact of the disease burden on both family and individuals, emotional state, organisational management, team expertise and timely assessment, individual self-efficacy and role perception.
The study adheres to the COREQ reporting guidelines.
The participants in this study were older adults with T2DM and MCI from rural areas. Participants were involved in the development of the interview guide and were subsequently interviewed regarding the facilitators and barriers to their participation in cognitive function interventions.
To investigate diabetes family involvement, including supportive and nonsupportive family behaviours in China, and explore the relationships among opposite forms of family involvement, diabetes self-management and glycaemic control.
A cross-sectional study.
Type 2 diabetes patients were recruited from hospitals in Nanjing, Shanghai and Jinan, and communities across China, between April 2023 and August 2023. A total of 1648 patients completed questionnaires regarding diabetes family involvement, diabetes self-management, perceived glycaemic control and patient characteristics. Data analysis was conducted using SPSS 26.0 and PROCESS macro.
The mean scores for supportive and nonsupportive family behaviours were 19.14 out of 40 and 12.47 out of 30, respectively, resulting in an overall family involvement score of 6.67. Overall family involvement, especially supportive family behaviours, was positively related to diabetes self-management and perceived glycaemic control, whereas nonsupportive family behaviours were not. Diabetes self-management partially mediated the relationships between both overall family involvement and supportive family behaviours with perceived glycaemic control.
Diabetes family involvement was suboptimal. Overall family involvement, especially supportive family behaviours, could not only directly improve glycaemic control but also indirectly enhance it through promoting diabetes self-management.
The findings highlight the importance of promoting supportive family involvement and patient self-management in diabetes management.
This study endorses the necessity for healthcare professionals to integrate the family unit into diabetes management and implement interventions at the family unit level, to address the neglect of families in current interventions. It also advocates for promoting supportive family involvement rather than all family involvement in future interventions. Promoting supportive family involvement and patient self-management can better improve patients' glycaemic control and alleviate the burden on medical and social systems.
This study adheres to the STROBE guideline of reporting.
No Patient or Public Contribution.
Skin tone can affect clinical signs and device accuracy in paediatric anaemia and deterioration detection, creating risks of inequity.
Studies show disparities in diagnostic accuracy across different skin tones, supported by community-based evidence.
(1) Build multicenter networks with standardised skin-tone data. (2) Validate devices across varied skin tones. (3) Train clinicians in dark-skin sign recognition. (4) Include equity metrics in paediatric quality indicators.
Reducing skin-tone bias is essential for equitable paediatric care. Collaborative research across diverse regions is needed.
This study aimed to identify potential latent profiles of frailty among patients undergoing cardiac surgery, reveal the risk factors associated with these subgroups and understand the nursing needs of patients in different subgroups.
Patients scheduled for cardiac surgery at a tertiary general hospital in Southwest China between August 2022 and June 2023 were recruited using convenience sampling. The instruments included the General Information Questionnaire, the Chinese version of the Tilburg Frailty Indicator, the Hospital Anxiety and Depression Scale, the Mini-Mental State Examination and the Fatigue Severity Scale. Latent profile analysis was performed to identify potential classifications of preoperative frailty. Univariable and multinomial logistic regression analyses were used to determine associated influencing factors.
A total of 261 patients were included, with a preoperative frailty prevalence of 69.7% and a median TFI score of 6 (IQR: 4–8). Latent profile analysis identified three distinct frailty phenotypes: ‘multidimensional low-load frailty’ (29.5%), ‘social high-load frailty’ (8.8%) and ‘physiopsychological complex frailty’ (61.7%). Multinomial logistic regression revealed significant predictors for these profiles: absence of a spouse, younger age and longer disease duration were independently associated with social high-load frailty. Higher fatigue scores increased the likelihood of physiopsychological complex frailty. Conversely, higher cognitive scores were significantly associated with the multidimensional low-load frailty profile.
Preoperative frailty in cardiac surgery patients presents significant heterogeneity. Clinicians should pay particular attention to patients with social high-load frailty and physiopsychological complex frailty. Tailored nursing interventions based on these specific profiles and their associated risk factors are essential to alleviate frailty and improve patient outcomes.
This study adhered to the STROBE guidelines for cross-sectional studies.
Distinct frailty profiles among preoperative cardiac surgery patients were identified. Understanding these profiles enables tailored nursing interventions and potentially optimises postoperative outcomes. Implementing profile-specific care pathways can enhance perioperative patient management.
Patients recovering from cardiac surgery participated in reviewing the comprehensibility of survey questions for latent profiles. Members of a cardiac patient support group provided feedback on the interpretability of the findings.
To explore the concurrent trajectories of depressive symptoms and insomnia among adolescents and to analyse the individual, familial and social predictors of the concurrent trajectories.
This study tracked depressive symptoms and insomnia in eight secondary schools annually from 2021 to 2023. We also collected data on individual, familial and social factors that may influence these conditions. Group-based multi-trajectory (GBMT) modelling was used to categorise adolescents into depressive–insomnia severity subgroups.
This study included 2822 adolescents, who were categorised into four groups, including the no symptom group, mild symptom group, symptom relief group and symptom increase group. Compared with the no symptom group, predictors of the mild symptom group were gender (OR = 1.30), academic performance (OR = 1.57), subjective well-being (OR = 0.78), anxiety (OR = 1.14), economic status (OR = 1.23) and relationship with teachers (OR = 1.46). Predictors of the symptom relief group were personality (OR = 1.75), academic performance (OR = 2.28), subjective well-being (OR = 0.69) and anxiety (OR = 1.25). Predictors of the symptom-increasing group were personality (OR = 2.45), academic performance (OR = 1.96), subjective well-being (OR = 0.69), anxiety (OR = 1.20), maternal education level (OR = 1.58), family function (OR = 0.93), parental relationship (OR = 2.07) and relationship with teachers (OR = 1.54).
This study provided a comprehensive understanding of the concurrent trajectories of depressive symptoms and insomnia among adolescents, revealing distinct subgroups and identifying predictors across individual, familial and social levels.
This study emphasises the importance of a multi-faceted approach involving family, school and society to promote adolescent mental health and also highlights the need for conducting precise interventions according to adolescents' features.
The identification of four distinct symptom trajectories and their predictors advances the understanding of adolescent mental health development, informing precision prevention strategies.
STROBE checklist.
None.
To examine the relationship among leadership, clinical teaching competencies, and structural empowerment of nursing clinical instructors in China.
A cross-sectional study.
A total of 152 nurses who come from three Grade A tertiary hospitals located in Beijing, Kunming, and Liaoning Province, China, completed an online questionnaire that included general information, clinical teaching information, the Conditions of Work Effectiveness Questionnaire-II, nurse leadership, and structural empowerment. SPSS 26.0 and AMOS 26.0 were used for normality test, descriptive statistics, correlation analysis, regression analysis, and structural equation model.
The study revealed that nurse leadership (r = 0.402) and structural empowerment (r = 0.568) both positively correlated with clinical teaching competencies. Specifically, the level of nurse leadership exhibited a low but direct positive effect on these competencies (β = 0.22), while the level of structural empowerment demonstrated a moderate direct positive effect (β = 0.56).
Enhancing nurse leadership and structural empowerment positively influence the clinical teaching competencies of nursing instructors.
Constructing a structural equation model to describe the relationship between leadership, structural empowerment, and teaching ability can provide the most intuitive direction for future research, so as to better improve the teaching ability of clinical nursing teachers.
No patient or public contribution.
The aim of this study was to innovatively utilise the BERTopic model for topic modelling in order to comprehensively identify and understand the factors contributing to bed falls.
Retrospective study.
The study collected 241 reports of bed fall accidents recorded by nurses from Peking University Third Hospital Nursing Department from 2014 to 2024. Among them, 102 reports met the inclusion and exclusion criteria.
This study follows the Minimum Information for Medical AI Reporting (MINIMAR). It collected patient bed fall reports from Peking University Third Hospital between 2014 and June 2024, preprocessed the texts, utilised the BERTopic library in Python for topic modelling, and manually aggregated secondary topics by combining visualisation results and professional knowledge.
We utilised cluster bar charts to visually display the distribution of the 22 secondary topics and further consolidated them into five core topics through the use of a topic distribution diagram and a topic similarity matrix diagram. These topics were related to patient factors, ward equipment and surroundings factors, medication risk factors, caregiver factors, and nursing practice factors. The study highlights the environment's specificity in bed falls, especially bedside safety and patient-bed rail interaction.
The innovation of this study lies in the successful utilisation of BERTopic technology to identify topics of risk factors for bed falls through alternative data sources, providing a scientific basis for formulating preventive measures. The findings aim to optimise nursing processes, improve ward environments and enhance educational training, ultimately reducing patient bed falls and enhancing medical safety, nursing quality and patient experience.
This study not only helps nurses identify risk factors for patient bed falls, but also provides important guidance for developing effective prevention strategies.
No patient or public contribution applied.
Nursing students are the primary reserve force for hospital nurses. With the shrinking of nurse human resources and the increase in turnover rates, understanding the job preferences of nursing students is crucial for attracting nursing students.
To systematically review published studies on discrete choice experiments involving nursing students.
Ten databases were systematically searched from their inception to January 15, 2025. Two researchers independently used the International Society for Pharmacoeconomics and Outcomes Research checklist to evaluate the quality of the included studies. Thematic analysis was used to classify the attributes into broad categories and corresponding subcategories. The frequency, significance, relative importance, and willingness-to-pay of each attribute in the included studies were analyzed.
Fifteen studies spanning 12 countries were included, with a total of 102 individual attributes extracted and divided into two broad categories and six subcategories. Non-financial attributes were the most frequently reported broad category. The subgroup analyses indicated that nursing students from high-income countries valued income and were highly concerned about the working atmosphere.
Linking Evidence to Action:
The results of this systematic review provide important evidence for developing incentive policies to attract nursing students to the nursing profession.
Urinary incontinence, often perceived as embarrassing, perpetuates the stigma that delays treatment and encourages concealment. This stigma significantly diminishes quality of life and imposes both financial and medical burdens. Although prior research has examined stigma reduction in urinary incontinence, it persists as a widespread issue. Most studies have focused on interviews, primarily addressing urine leakage, with a limited understanding of the factors influencing urinary incontinence stigma and their interrelations. More in-depth quantitative studies are crucial to inform targeted interventions.
(1) To develop targeted interventions aimed at alleviating urinary incontinence-related stigma in older adults. (2) To identify factors that mitigate stigma in older adults with urinary incontinence. (3) To examine the associations between these factors and stigma.
Cross-sectional survey.
A cross-sectional survey was conducted with 510 older adults across three hospitals in Guangdong from July 2022 to January 2024, utilising the SSCI-24 and Incontinence Severity Index. Three multivariate linear regression models, adjusted for covariates based on directed acyclic graphs, were employed to explore the relationships between variables and stigma. Additionally, subgroup analyses were performed.
Participants reported higher levels of self-stigma compared to perceived stigma. Multivariate analysis revealed significant associations between urinary incontinence type, severity, frequency of micturitions and stigma. Key factors contributing to stigma reduction include managing incontinence severity, reducing frequency of micturitions and preventing the progression to mixed incontinence.
The study identified associations between urinary incontinence characteristics—type, severity and frequency of micturitions—and stigma. Strategies for stigma reduction are proposed, underscoring the vital role of nurses in this process.
The findings of this study contribute to a deeper understanding of stigma surrounding urinary incontinence in older adults and provide insights for developing more effective interventions by healthcare professionals and community caregivers.
This study adhered to the STROBE checklist for observational studies.
No patient or public contribution.
Smart home technology, as an emerging innovation, holds significant potential to support proactive health by enabling accurate prediction and intelligent warning of health issues. This study aims to explore older adults' perceptions of adopting smart home technology to promote proactive health.
An exploratory qualitative study.
Focus groups and one-on-one interviews were held with 20 older adults recruited from a retirement activity center, a nursing home, and the geriatrics department of a tertiary hospital in China between June and October 2024. The interview transcripts were analysed using thematic analysis and further examined through the framework of the Technology Acceptance Model.
The analysis identified four themes: (1) The need for care is the primary determinant for older adults' consideration of adopting smart home technology. When care is needed, factors such as self-care ability, care from children and the caregiving capabilities of smart home technology play a crucial role in their decision-making process. (2) Older adults expect smart home technology to deliver essential healthcare services, including health monitoring and counselling, emergency assistance and emotional support. (3) Individual differences, interplay with life experiences, significantly influence older adults' willingness to adopt smart home technology. (4) The perceived effectiveness of technology, age-friendly design, potential technical malfunctions and privacy concerns are also critical factors affecting adoption decisions. All themes were also matched to perceived usefulness, perceived ease of use and attitude in the Technology Acceptance Model.
This study provides valuable insights into older adults' perspectives on adopting smart home technology and serves as a reference for its development in geriatric health management. To enhance the applicability of these technologies, nurses should collaborate with developers, integrating their expertise in elderly care and daily living needs.
The findings offer guidance for advancing smart home technology to better address the health needs of older adults. By integrating these technologies into practice, nurses can more effectively respond to the unique health conditions of older adults, optimise nursing workflows and enhance the overall quality of care. Ultimately, this ensures that older adults remain the primary beneficiaries of technological advancements in healthcare.
The study adhered to the Consolidated Criteria for Reporting Qualitative Research guidelines.
Limited patient and public involvement was incorporated, focusing on feedback on data analysis.
Frailty affects over 35% of maintenance haemodialysis (MHD) patients globally—2–3 times higher than the general elderly—and is strongly linked to higher mortality, hospitalisation, and functional decline. Despite its clinical impact, frailty is often underdiagnosed in dialysis settings due to inconsistent assessments and limited resources. Existing prediction models vary widely in predictors and methods, requiring systematic review to guide clinical use and improve risk-stratified care.
To systematically identify, describe, and evaluate the existing risk prediction models for frailty in patients undergoing MHD.
Systematic review and Methodological appraisal.
A comprehensive search was conducted across multiple databases—PubMed, Web of Science Core Collection, Embase, Cochrane Library, CINAHL, China Biomedical Literature Database (CBM), Wanfang Database, VIP Database—covering studies up to November 1, 2024.
Two researchers independently conducted literature searches, screening, and data extraction. They used the Prediction Model Risk of Bias Assessment Tool (PROBAST) to evaluate the risk of bias and the applicability of the included models.
Fifteen studies (21 models) were analysed, with sample sizes 141–786 and frailty incidence 11.00%–59.57%. Model AUCs ranged 0.720–0.998 (potential overfitting at extreme values). Key predictors included age, serum albumin, gender, Charlson comorbidity index, and activities of daily living scores. Methodological appraisal using PROBAST revealed moderate applicability but high bias risks: 53% of studies used retrospective designs, 95% lacked external validation, and limitations included small samples, non-standard variable selection, and inadequate handling of missing data.
While models demonstrate initial predictive utility, widespread bias and developmental-stage limitations hinder clinical application. Future research must prioritise TRIPOD-guided model development, emphasising large prospective cohorts, rigorous validation, and transparent reporting to enhance reliability and clinical utility in frailty risk stratification for MHD patients.
This study aimed to develop and validate a standardised transitional care programme for postoperative gynaecologic cancer patients utilising the Omaha system framework.
A preliminary transitional care programme was constructed through literature review, semi-structured interviews and multidisciplinary team discussions. The programme was refined via two rounds of Delphi expert consultations involving 17 oncology nursing specialists. Consensus criteria included expert authority coefficient (Cr), Kendall's W test and coefficient of variation (CV).
The Delphi consultation demonstrated robust expert consensus, with high authority coefficients (Cr: 0.886 in Round 1; 0.906 in Round 2), exceptional participation rates (88.2% and 100% response rates across two rounds) and statistically significant concordance as evidenced by Kendall's W values (0.233–0.358 and 0.326–0.383; all p < 0.01). All coefficients of variation (CV) metrics fell within acceptable ranges (0.09–0.42 in the initial phase; 0.08–0.27 post-refinement).
The Omaha system-based transitional care programme exhibits strong expert consensus, scientific rigour and clinical applicability, providing a structured approach to improving postoperative recovery in gynaecologic cancer patients.
This protocol standardises postoperative care transitions for gynaecologic oncology patients by integrating multidimensional assessments (physiological, psychosocial and health behaviour domains) and family-centred education. Clinicians can utilise its evidence-based framework to reduce preventable complications, enhance caregiver preparedness and improve continuity of care between hospital and home settings.
Six postoperative gynaecologic cancer patients and eight family caregivers participated in semi-structured interviews to identify unmet transitional care needs. Their insights informed the design of intervention components, including self-management education and psychosocial support strategies. Patients reviewed draft materials for clarity and cultural appropriateness during Delphi Round 2.
To examine how gender differences in the nursing work environment shape nurses' perceived quality of care and to identify gender-specific predictors and evaluative mechanisms.
A mixed-methods design was employed, integrating quantitative data analysis with qualitative in-depth individual interviews.
This study was conducted in two phases: The first phase was a quantitative analysis, based on a large national dataset from the 2017 Chinese Nursing Work Environment Survey (N = 16,382), in which secondary analysis was performed using hierarchical linear regression, relative importance analysis, and network analysis to identify key predictors. The second phase was a qualitative study, in which in-depth individual interviews were conducted with 30 clinical nurses (15 male and 15 female), and thematic analysis was applied to explore gender-differentiated experiences.
The core finding of this study is that gender-differentiated factors within the work environment significantly shape nurses' perception of care quality. Quantitative results showed that the strongest predictor for female nurses was professional development, whereas recognition of value was most salient for male nurses. Qualitative results corroborated these findings: female nurses emphasised continuing education and emotional support, while male nurses emphasised fair evaluation and professional identity. Both groups reported that high-intensity workloads hindered the delivery of ideal humanistic care, inducing moral distress and emotional suppression and exposing ethical gaps in organisational support.
Gender differences in the nursing work environment shape pathways to perceived care quality and expose deeper managerial and ethical challenges. A gender-sensitive, ethics-oriented management approach can enhance nurse satisfaction and care quality, providing empirical support for optimising workforce allocation and sustaining healthcare systems.
Findings direct nurse leaders to tailor improvement strategies—enhancing professional-development infrastructure for women and strengthening recognition mechanisms for men—while embedding explicit ethical support to reduce moral distress and improve both workforce well-being and patient outcomes.
No patient or public contribution.
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