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Examine profiles of safety attitudes among novices and explore whether profiles moderate the occupational identity–turnover pathway.
Novice nurses face unique challenges in adopting positive safety attitudes, which influence outcomes like turnover. However, past research found only average levels of safety attitudes among novices, ignoring possible heterogeneity. Exploring whether meaningful subgroups exist based on safety perspectives and factors shaping them can provide insights to improve safety attitudes and retention.
This study was designed as a cross-sectional investigation.
Data were collected through the distribution of questionnaires. Descriptive statistics were first conducted, followed by latent profile analysis. We then carried out univariate analysis and ordinal multinomial regression to explore the factors shaping the different profiles. Finally, we examine the moderating effect of nurses' safety attitudes with different latent profiles on the relationship between professional identification and turnover intention.
A total of 816 novice nurses were included. Three profiles were identified: high, moderate and low safety attitudes – higher attitudes were associated with lower turnover intention. Interest in nursing, health status, identity and turnover predicted profile membership. Moderate profile had a stronger buffering effect on the identity–turnover link versus high profile.
Multiple safety attitude profiles exist among novice nurses. Certain factors like interest in nursing and occupational identity are associated with more positive safety profiles. Targeting these factors could potentially improve safety attitudes and reduce turnover among novice nurses. The moderating effects suggest that tailored interventions matching specific subgroups may maximize impact.
Assessing subgroup attitudes enables tailored training for novices' specific needs, nurturing continuous improvement. Supporting early career development and role identity may strengthen retention intentions.
Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly.
A prospective cohort study.
We collected data on 6997 elderly people from Chinese Longitudinal Healthy Longevity Study wave 6–7 surveys (2011–2012, 2014). After the baseline survey in 1998 (wave 1), the project conducted follow-up surveys (wave 2–8) in 2000–2018. The osteoporotic fractures index was used to assess frailty. Four ML algorithms (random forest [RF], support vector machine, XGBoost and logistic regression [LR]) were used to develop models to identify the risk factors of frailty and predict the risk of frailty. Different ML models were used for the prediction of frailty risk in the elderly and frailty risk was trained on a cohort of 4385 elderly people with frailty (split into a training cohort [75%] and internal validation cohort [25%]). The best-performing model for each study outcome was tested in an external validation cohort of 6997 elderly people with frailty pooled from the surveys (wave 6–7). Model performance was assessed by receiver operating curve and F2-score.
Among the four ML models, the F2-score values were similar (0.91 vs. 0.91 vs. 0.88 vs. 0.90), and the area under the curve (AUC) values of RF model was the highest (0.75), followed by LR model (0.74). In the final two models, the AUC values of RF and LR model were similar (0.77 vs. 0.76) and their accuracy was identical (87.4% vs. 87.4%).
Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly.
The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions.
Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk factors for frailty could be beneficial to provide tailored and personalized care intervention for older adults to more accurately prevent or improve their frail conditions so as to improve their quality of life.
The study has adhered to STROBE guidelines.
No patient or public contribution.
To explore the association between nurse managers' paternalistic leadership and nurses' perceived workplace bullying (WPB), as well as to examine the mediating role of organizational climate in this association.
There is a lack of empirical evidence regarding the relationship between nurse managers' paternalistic leadership, organizational climate and nurses' perceived WPB. Clarifying this relationship is crucial to understand how paternalistic leadership influences WPB and for nursing managers to seek organizational-level solutions to prevent it.
A cross-sectional survey was performed from 4 January to 10 February 2022, in six tertiary hospitals in mainland China. Demographic information, Paternalistic Leadership Scale, Organizational Climate Scale and Negative Acts Questionnaire-Revised were used in the survey. Descriptive statistics, Spearman correlation analyses and a structural equation model were used for data analysis.
A total of 5093 valid questionnaires were collected. Moral leadership and authoritarian leadership have both direct and indirect effects on WPB through the mediating effect of organizational climate. The former is negatively related to WPB and the latter is positively related to WPB. Benevolent leadership was only negatively associated with WPB via the mediating effect of organizational climate.
The three components of paternalistic leadership have different effects on WPB through the mediating effect of organizational climate. Nurse managers are recommended to strengthen moral leadership, balance benevolent leadership, reduce authoritarian leadership and strive to create a positive organizational climate in their efforts to mitigate WPB among nurses.
This study enhanced our comprehension of the relationship between different leadership styles and WPB. Greater emphasis should be placed on moral leadership in the promotion of nursing managers and nursing leadership training programs. Additionally, nursing managers should focus on establishing a positive organizational climate that helps to reduce WPB.
No patient or public contribution. This study did not involve patients, service users, caregivers or members of the public.
To integrate research literature regarding careers, career development and factors influencing the career development of doctorally prepared nurses.
An integrative review.
Medline, CINAHL and Embase were searched in June 2022 without time restrictions.
Peer-reviewed empirical publications written in English with different types of study designs were included. Two researchers independently applied eligibility criteria, selected studies and conducted quality appraisals using Joanna Briggs checklists. Data were extracted and analysed using a convergent integrated approach with thematic analysis. Themes were established within three categories based on the research questions: career, career development and factors influencing career development.
Twenty-two studies were included. Nine themes were identified. One theme regarding careers describes that doctorally prepared nurses need to prioritize work within different positions. The two themes focusing on career development described the need to determine career goals after the doctorate and further develop competencies. Six themes described factors influencing career development: ‘Intrinsic motivation to improve health care and nursing education’, ‘Available support sources’, ‘Professional development programmes’, ‘Work–life balance’, ‘Organizational infrastructures for career advancement’ and ‘Competition and hostile treatment among colleagues’.
Limited knowledge of the careers and career development of doctorally prepared nurses was found. Doctorally prepared nurses need to balance work with various part-time positions. Careers and career development could be supported by the development of structures for career advancement as well as supportive working environments.
Doctorally prepared nurses with strong careers are important to health care and nursing as they generate and implement new knowledge into clinical practice and thereby support the improvement of (nursing) care and patient outcomes. This study provides considerations towards strengthening the careers of doctorally prepared nurses.
PRISMA.
No Patient or Public Contribution.
To obtain an in-depth understanding of women's decision-making experiences related to mastectomy.
A descriptive qualitative interview study.
Individual semi-structured interviews were conducted face-to-face with 27 Chinese women with breast cancer who underwent mastectomy at two tertiary hospitals in mainland China between September 2020 and December 2021 after obtaining the appropriate ethical approvals. Interviews were conducted in Mandarin. Data were analysed using inductive content analysis.
Mean age of participants was 48 years (range 31–70). Most participants had low education, low monthly family income, had a partner and health insurance, had been diagnosed with early breast cancer, and had not undergone reconstructive surgery. Six categories related to decision-making experiences emerged: (1) Emotions affecting decision-making, (2) Information seeking for decision-making, (3) Beliefs about mastectomy and the breast, (4) Participation in decision-making, (5) People who influence decision-making, and (6) Post-decision reflection. Participants did not mention the role of nurses in their decision-making process for mastectomy.
This study adds valuable insights into the limited evidence on women's experience with decision-making about mastectomy from a Chinese perspective, which is important given the continuing high prevalence of mastectomy in many regions. Future studies from other countries and ethnic groups are recommended to gain diverse knowledge.
The findings of this study are useful for nurses and other healthcare professionals in the multidisciplinary team to better support women with breast cancer in their decision-making process regarding mastectomy. The findings could inform future interventions to support treatment decision-making and may be relevant to women living in similar socio-medical contexts to those in mainland China.
The study was reported following the Standards for Reporting Qualitative Research checklist.
No patient or public contribution.
This study aimed to identify different profiles of chronic disease resource utilization among patients with coronary heart disease in Tibet and explore the relationship between these profiles and quality of life.
A cross-sectional study.
Patients with coronary heart disease who were treated in a tertiary hospital in Tibet and its cooperative points from January 2021 to July 2021 were selected as the study participants. All participants completed a general information questionnaire, the Chronic Disease Resource Utilization Questionnaire (CIRS) and the Health Status Survey Short Form (SF-36). Chronic disease resource utilization was profiled, and its relationship to quality of life was explored using hierarchical linear regression.
A total of 382 patients were enrolled in this study. Regarding chronic disease resource utilization, the participants were divided into three latent profiles: ‘Poor utilization group’ (n = 151), ‘Effective utilization group’ (n = 155) and ‘Full utilization group’ (n = 76). Different profiles of chronic disease resource utilization of patients were significantly associated with quality of life (R 2 = .126, p < .001).
Healthcare providers should identify patients with different profiles, define their utilization features of chronic disease resources and adopt targeted interventions to guide them in acquiring enough disease support resources to improve their quality of life.
Understanding different resources using preferences of coronary heart disease patients can help healthcare providers and related sectors to provide other supports based on different profiles of patients, thus enhancing their quality of life.
The study followed the STROBE guideline.
There was no patient or public involvement in the design of the study.
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