Journal of Nursing Management最新文献

Feedback-seeking behavior has been found to have positive impacts on nurses’ mental health. However, we still lack knowledge on how and under what conditions feedback-seeking behavior can enhance nurses’ work engagement and task performance on a weekly basis. Based on weak ties theory and information processing theory, this study aimed to investigate the positive relationship between weekly feedback-seeking behavior, nurses’ work engagement, and task performance. In addition, we explored the moderating roles of contacts’ closeness and contacts’ functional background diversity. Using a 4-week survey with 368 nurses (totaling 1472 observations), we generally confirmed our hypotheses. The results of the multilevel regression analysis revealed that the positive relationship between weekly feedback-seeking behavior and work engagement was stronger for those who had higher levels of contacts’ functional background diversity and that the positive relationship between weekly feedback-seeking behavior and task performance was stronger for those who had lower levels of contacts’ closeness. In summary, taking a network characteristic perspective, we highlight that contacts’ closeness and functional background diversity can significantly influence the nurses’ feedback-seeking process on a weekly basis. These findings enhance our understanding of how feedback-seeking behavior can be leveraged to promote positive work outcomes for nurses.

Objective: To systematically investigate the prevalence of occupational diseases among head nurses in China, assess their job satisfaction and turnover intentions, and identify associated factors influencing these issues.

Methods: This nationwide cross-sectional survey was conducted between July 2016 and July 2017, involving 6672 head nurses selected from 1858 hospitals across 30 provinces. A self-administered questionnaire collected data on demographic characteristics, occupational disease status, job satisfaction, and turnover intentions. Statistical analyses, including multivariate binary logistic regression, were performed to identify factors influencing occupational disease and turnover intentions.

Results: The majority of participants were female (98.53%) and over 41 years old (78.22%). The prevalence of occupational diseases was significant, with insomnia reported in 66.80%, musculoskeletal disorders in 47.62%, and gastrointestinal issues in 49.36%. A staggering 59.83% indicated intentions to leave their positions, primarily due to high job demands, poor nurse-patient relationships, and dissatisfaction with income relative to work intensity. Multivariate analysis revealed that factors such as gender, age, educational level, and working experience significantly influenced occupational diseases, and factors such as age, monthly income, occupational diseases, and work intensity significantly influenced turnover intentions.

Conclusions: The findings highlighted a critical need to address the occupational health and working conditions of head nurses in China. Given the high prevalence of occupational diseases and turnover intentions, effective interventions aimed at improving job satisfaction and reducing occupational stress were essential to enhance the stability and quality of nursing care. Further qualitative investigations were recommended to gain deeper insights into these issues.

This study aimed to examine the relationship between medication literacy and the degree to which patients are considered capable of medication self-management, the factors influencing the strength of this relationship and the factors influencing a patient’s capability for medication self-management. Between January and April 2022, a cross-sectional survey was conducted on hospitalised patients (65+) with polypharmacy. Medication literacy was evaluated using the MEDication Literacy Assessment of Geriatric patients and informal caregivers (MED-fLAG). The SelfMED assessment determined a patient’s capability for medication self-management. The relationship between MED-fLAG and SelfMED was explored with Pearson’s r. Moderation analysis was used to explore the factors influencing the strength of the relationship between both. Linear regression explored the factors influencing SelfMED scores. In total, 169 patients participated in the study. Patients considered themselves more capable of in-hospital medication self-management (8/10 rating) compared to nurses’ and physicians’ opinions (6/10 rating). Interactive medication literacy scored higher (mean = 3.0) than functional (mean = 2.9) and critical medication literacy (mean = 2.8). The more medication literacy skills, the more patients were considered able for medication self-management by healthcare providers (r = 0.630, p < 0.001). Moderation analysis could not reveal any factors that significantly affected the strength of the relationship between both. Age, managing medication independently at home, the number of chronic conditions and medication literacy were significant predictors of a patient’s capability for in-hospital medication self-management. This study demonstrated a rather strong correlation between the results of the MED-fLAG and the SelfMED assessment. Hence, SelfMED can be used as a stand-alone first screening instrument to determine a patient’s capability for in-hospital medication self-management, without first assessing medication literacy. MED-fLAG can provide valuable insights into the medication literacy of patients considered less capable of managing their medication, allowing medication information and interventions to be tailored to the patient.

Aim: This scoping review aimed to identify and synthesize the evidence in existing nursing studies that used natural language processing to analyze social media data, and the relevant procedures, techniques, tools, and ethical issues.

Background: Social media has widely integrated into both everyday life and the nursing profession, resulting in the accumulation of extensive nursing-related social media data. The analysis of such data facilitates the generation of evidence thereby aiding in the formation of better policies. Natural language processing has emerged as a promising methodology for analyzing social media data in the field of nursing. However, the extent of natural language processing applications in analyzing nursing-related social media data remains unknown.

Evaluation: A scoping review was conducted. PubMed, CINAHL, Web of Science and IEEE Xplore were searched. Studies were screened based on inclusion criteria. Relevant data were extracted and summarized using a descriptive approach.

Key Issues: In total, 38 studies were included for the final analysis. Topic modeling and sentiment analysis were the most frequently employed natural language processing techniques. The most used topic modeling algorithm was latent Dirichlet allocation. The dictionary-based approach was the most utilized sentiment analysis approach, and the National Research Council Sentiment and Emotion Lexicons was the most used sentiment dictionary. Natural language processing tools such as Python (NLTK, Jieba, spaCy, and KoNLP library) and R (LDAvis, Jaccard, ldatuning, and SentiWordNet packages) were documented. A significant proportion of the included studies did not obtain ethical approval and did not conduct data anonymization on social media users’ information.

Conclusion: This scoping review summarized the extent of natural language processing techniques adoption in nursing and relevant procedures and tools, offering valuable resources for researchers who are interested in discovering knowledge from social media data. The study also highlighted that the application of natural language processing for analyzing nursing-related social media data is still emerging, indicating opportunities for future methodological improvements.

Implications for Nursing Management: There is a need for a standardized management framework for conducting and reporting studies using natural language processing techniques in the analysis of nursing-related social media data. The findings could inform the development of regulatory policies by nursing authorities.

Background: The literature review highlights that a motivated leader plays a key role in motivating employees and fostering a health-promoting work environment. Despite its importance, there is limited knowledge about the motivational forces, from a caring science perspective, that drive nurse leaders to develop a health-promoting work environment.

Aim: This study aims to gain a deeper understanding of the motivational forces driving nurse leaders toward developing a health-promoting work environment.

Method: A qualitative design with a hermeneutic approach inspired by Gadamer was chosen. Data were collected through semistructured interviews with 13 nurse leaders in northern Norway between December 2023 and February 2024. The Standards for Reporting Qualitative Research (SRQR) were followed in reporting the results.

Findings: The nurse leader’s motivational forces in developing a health-promoting work environment imbued with an ethos of (1) sense of inner responsibility for promoting the wellbeing of others, (2) sense of trusting relationships in the workplace, (3) sense of mastery through learning and development, and (4) sense of recognition from superiors through being seen, supported, and involved.

Conclusion: This study highlights the importance of raising awareness and articulating nurse leaders’ underlying motives and values. Doing so transforms abstract concepts into tangible factors that stakeholders can grasp. In particular, this insight provides valuable guidance to politicians and decision-makers on how to facilitate improved working conditions for nurse leaders, thereby maintaining and enhancing their motivation.

Implications for Nursing Leadership: The findings of this study recommend that superior leaders and policymakers should prioritize involving nurse leaders in decision-making and promoting their autonomy and room for action. In addition, it suggests facilitating further education and training programs for leaders, as well as maintaining leadership networks where nurse leaders can reflect, exchange experiences, and address challenges.

Background: Training the knowledge and skills needed to recognize and respond quickly to cardiac arrest significantly increases patient survival rates. Recent advances in life support training focus on simulations. Interprofessional education, involving collaborative training between nursing and medical students, would enhance mutual understanding of roles and perspectives, resulting in comprehensive and real-world learning experiences. Self-learning methodology in simulated environments actively engages students by combining problem-based learning with clinical simulation.

Objectives: To analyze the perspective of a group of nursing and medical students in interprofessional training with self-learning methodology in simulated environments, clinical simulation in cardiopulmonary resuscitation, as well as to describe the main strengths and weaknesses detected and worked on during cardiopulmonary resuscitation training with the self-learning methodology in simulated environments.

Method: This multicenter qualitative study, based on focus group analysis, delves into the views of nursing and medical students who underwent interprofessional clinical simulation training in cardiopulmonary resuscitation.

Results: Benefits such as increased interest, motivation, and sense of responsibility are highlighted, along with improvements in teamwork, interprofessional education, and acquisition of both technical and nontechnical skills. Participants valued the structured debriefing sessions, which allowed them to learn from their mistakes. Suggestions for improvement revolved around the time constraints and responsibilities inherent in the methodology.

Conclusions: Interprofessional cardiopulmonary resuscitation training using the self-learning methodology in simulated environments offers an innovative and effective approach to improve traditional cardiopulmonary resuscitation training paradigms.

Aims: The purpose of this study was to investigate the relationship between nurses’ perceived organizational support, work well-being, and medical narrative ability.

Background: With the proposed bio-psycho-social medical model, nurses’ medical narrative ability is closely related to patients’ health problems and quality of life. Nurses’ perceived organizational support and work well-being can improve nurses’ empathy and reflection ability to a certain extent and promote patients’ rehabilitation. However, the relationship between nurses’ perceived organizational support, work well-being, and medical narrative ability is unclear.

Methods: A total of 1831 nurses from 8 hospitals in China were surveyed using an online questionnaire that included nurses’ sociodemographic, perceived organizational support, work well-being, and medical narrative ability. IBM SPSS 27.0 was used for Pearson’s correlation analysis, one-way ANOVA, t-test, and mediation effect analysis using Model 4 in PROCESS (5000 resamples).

Results: The total mean score of perceived organizational support (46.68 ± 11.00), work well-being (53.09 ± 10.81), and medical narrative ability (154.48 ± 22.93) among nurses was found to be moderate. The relationship between perceived organizational support, work well-being, and medical narrative ability was significant, with correlation coefficients ranging from 0.348 to 0.685 (p < 0.01). The relationship between perceived organizational support and medical narrative ability is partially mediated by work well-being. The intermediate effect accounted for 52.36% of the total effect.

Conclusion: This study found that nurses’ work well-being mediated the relationship between perceived organizational support and medical narrative ability.

Implications for Nursing Management: This study evaluated nurses’ medical narrative ability and explored the relationship between nurses’ perceived organizational support, work well-being, and medical narrative ability. The results of this study can help nursing managers and educators to take appropriate measures to intervene nurses’ perceived organizational support and work well-being, so as to improve nurses’ medical narrative ability and optimize nursing quality.

Objective: To develop and psychometrically evaluate a questionnaire to assess attitudes towards invisible gender-based violence (Q-AIGV).

Background: Invisible gender-based violence is defined as discriminatory attitudes and beliefs towards women that are culturally accepted and normalised in society.

Methodology: This is a cross-sectional descriptive observational study. The development of the initial version of the questionnaire, a pilot study (N = 63) and a final validation study (N = 1264) were carried out. Reliability, validity, stability and readability were tested.

Results: Exploratory factor analysis revealed that the Q-AIGV is composed of 15 items distributed in three factors. Known-groups analysis detected significant differences in two groups with different characteristics (age and relationship duration). Criterion validity indicated the existence of a moderate and significant correlation (r = 0.469; p < 0.001) between the mean score of the Q-AIGV and the ‘Scale of Attitudes towards Gender-based Violence’. The Q-AIGV’s content validity index (CVI-t = 0.96) and internal consistency (α = 0.906) were excellent.

Conclusion: The Q-AIGV showed very good results for reliability, validity, stability and readability. This suggests that the Q-AIGV could be a good tool for assessing attitudes towards invisible gender-based violence.

Aim: This study investigated the impact of the COVID-19 pandemic on the emotional and spiritual well-being and the resilience of advanced clinical practitioners in the United Kingdom.

Background: Advanced clinical practitioners are experienced healthcare professionals educated to a master’s level who demonstrate expertise, professional judgment, and autonomy across four pillars of advanced practice. Normally, in nursing and the allied health professions, advanced clinical practitioners provide clinical leadership and improve clinical continuity by providing high-quality care to patients through complex decision-making and managing risk. The role contributes to workforce transformation enabling organizations to meet changing population, patient, and service delivery needs. Advanced clinical practitioners’ well-being and resilience were particularly at risk during the pandemic due to the increased workload, moral distress, redeployment into other clinical areas, and isolation. Phase 1 of this study identified that advanced clinical practitioners had worryingly low levels of well-being and resilience during the first 6 months of the pandemic. This paper reports Phase 2’ findings 1 year into the pandemic.

Method: Three hundred and seventy-one respondents completed an online survey comprising three validated scales assessing resilience and emotional and spiritual well-being.

Results: One year into the pandemic, advanced clinical practitioners reported a continued decline in their well-being, with average scores on this measure being 12 percent lower compared to prepandemic levels Differences also emerged in the scores of advanced clinical practitioners practicing in primary and secondary care services.

Conclusion: Our findings showed the ongoing deleterious impact of the pandemic on the well-being and resilience of advanced clinical practitioners. As the attention of healthcare leaders shifts to the delivery of services post-COVID-19, the longer-term impact of the pandemic on the mental health and well-being of the workforce, alongside the ongoing workforce crisis in the UK and globally, means the well-being and resilience of advanced clinical practitioners need urgent addressing if these role holders are to continue to lead patient care, workforce transformation, and service innovation. Tailored interventions to support advanced clinical practitioners appear necessary to prevent significant workforce impact including absenteeism, long-term stress, sickness absence, and loss to the healthcare workforce.

Aims: This study aimed to excavate the entry advices and suggestions for new-graduate nurses.

Background: Research based on social media analysis for advices to new-graduate nurses is rare. We conducted a detailed analysis and modularization of the relevant contents based on social media.

Design: A grounded theory study based on social media content.

Methods: The answers to questions such like “What’s your advices and suggestions for new-graduate nurses?” on a famous social media platform in China were searched, collected, coded, and analyzed until September 2023.

Results: Four core category modules including professional knowledge module, professional ability module, socialization and interpersonal communication module, and personal trait module were established. The theoretical framework of 21 main categories was also established.

Conclusion: Social media contents provide valuable and experienced advices and suggestions for new-graduate nurses in an efficient and convenient way. The analysis of these contents is helpful for new-graduate nurse education and management.