Journal of Nursing Management最新文献

Aim: The aim of this study is to analyze the phenomenon of workaholism among Polish nurses.

Background: Work may be deemed one of the fundamental or essential forms of human activity. In the case of nurses, the expected level of professional commitment and dedication is above average. This factor may be an important element contributing to developing workaholism, which in turn is a strong prognostic factor for adverse events in the workplace, an especial critical issue in nursing practice.

Methods: This cross-sectional study was conducted from 2016 to 2019. The research material consisted of 454 questionnaire forms completed by nurses with a confirmed high risk of workaholism.

Results: The mean values obtained in the study indicate the aspects as significant for characterizing the phenomenon of workaholism among nurses: Need for Predictability, Enthusiasm for Work, Impairment of Alternative, Extreme Dutifulness, Inability to Delegate, and Work Compulsion.

Conclusion: The results show that two aspects are particularly significant for characterizing workaholism among Polish nurses: Inability to Delegate and Work as Value. Impairment of Alternative Activities, Extreme Dutifulness, Distributed Social Relations and Awareness, Stress and Anxiety, Enthusiasm for work, Need for predictability, and Work Compulsion proved to be less significant factors of workaholism characteristics in the study group. Therefore, the research attention should primarily focus on two more characteristic areas, e.g., Inability to Delegate and Work as Value, starting with a proper understanding of those concepts.

Background: Leadership is vital for well-coordinated healthcare and affects the quality of care and patient safety. Nursing leaders are crucial in creating appropriate structures and processes to enhance patient outcomes during care transitions in a rural context. Despite their importance to care transitions, there is limited research on nursing leaders’ perspectives in rural settings. This study explored nursing leaders’ concerns regarding the provision of quality care during transitions from hospital care to home healthcare in rural areas and their experiences in improving these processes.

Methods: A qualitative study using constructivist grounded theory methodology was conducted. Twenty nursing leaders in hospital and rural municipal care in Sweden were interviewed. All were educated in social care or healthcare, most in nursing, and most had a master’s degree. Data were analyzed using constant comparative analysis.

Results: Nursing leaders’ main concern about creating quality care in transitions was a lack of clearly defined, shared goals for a high-quality care transition. The core category explaining their approach was minding one’s unit by working within organizational unit borders. Three categories further explained this: (I) promoting nursing competence by recruiting and training nurses, emphasizing patient involvement, (II) ensuring continuous care flow by collaborating within one’s organization and clarifying rights and obligations, and (III) evaluating collaboration within each unit.

Conclusions: Seamless care transitions are challenging when nursing leaders lack clear, mutually shared quality goals for care transitions. Implications for nursing management include improving collaborative routines, establishing common platforms, and integrating patient input throughout the process, as these measures are essential for enhancing interorganizational collaboration in rural care transitions.

Background: Inpatient mortality is a critical outcome measure for healthcare services. Improving patient outcomes and ensuring high-quality healthcare outcomes requires an understanding of the factors that contribute to inpatient mortality.

Aim: This study aimed to investigate the impact of safety culture, quality of care, missed care, and nurse staffing on inpatient mortality rates and nurse-reported inpatient death frequency.

Methods: A cross-sectional survey and an administrative dataset on inpatient mortality were used in this study. A web-based survey was conducted among nurses from 34 units in five acute public hospitals. Inpatient mortality data between 2018 and 2021 were collected from participating units. The study variables were analyzed using generalized linear models.

Results: Safety culture scores were less than positive in all hospitals, and most nurses reported missed care during their last shift. However, nursing units that had strong subscale scores for teamwork climate, safety climate, and safety behavior had lower incidence rates of inpatient mortality and fewer nurse-reported inpatient deaths in their units.

Conclusion: The study’s findings highlight the importance of teamwork climate, safety climate, and safety behaviors on safety culture and the role nurses play in reducing inpatient mortality rates and lowering nurse-reported inpatient death frequency.

Aims: This study aimed to explore the relationship between growth mindset and job satisfaction among Chinese nurses, and to examine the underlying mediating role of grit and self-efficacy in this relationship.

Background: As a long-standing research topic in nursing management, job satisfaction plays an essential role in patient care, healthcare organizations, and nurses’ career planning and development. Therefore, it is extremely important to explore the psychosocial factors that contribute to nurses’ job satisfaction.

Design: A descriptive, cross-sectional survey design was used.

Methods: Data were collected from 709 nurses during the COVID-19 pandemic in southwest of China by using standard measures of growth mindset, grit, self-efficacy, and job satisfaction. Models 4 and 6 in the SPSS PROCESS 3.2 macroprogram were used to analyze the mediating effects.

Results: We found a positive relationship between Chinese nurses’ growth mindset and their job satisfaction; grit and self-efficacy played a mediating role in this relationship. Moreover, there was a significant chain mediating effect of grit and self-efficacy on the relationship between growth mindset and job satisfaction.

Conclusions: Our study highlights the complex interactions among growth mindset, grit, self-efficacy, and job satisfaction by revealing that grit and self-efficacy serve as parallel and sequential mediators in the link between growth mindset and job satisfaction among Chinese nurses.

Implications for Nursing Management: Nursing administrators can attempt to promote nurses’ growth mindset and enhance their grit and self-efficacy, thereby improving job satisfaction.

Reporting Method: Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) criteria were used to report the survey results.

Introduction: Gap remains in understanding how students perceive the impact of simulations on their development of critical thinking skills and how their emotional well-being is affected during high-fidelity simulations. This gap occurs because little attention is paid to what students think about such specifics in learning activities.

Aim: This study aimed to explore the strengths and weaknesses of simulation as perceived by students, with a focus on understanding the associated scenario design, emotional impact, and skills development.

Methods: This qualitative study was conducted at a government university in central Saudi Arabia. Twenty nursing students participated in one-to-one interviews between November 2023 and January 2024.

Results: Five themes and six subthemes emerged from the students’ verbatim accounts: (1) conceptual understanding (subtheme: preparation for real-world practice), (2) development and refinement of clinical skills (subtheme: identifying weaknesses), (3) trepidation to triumph (subthemes: stepping outside the comfort zone and reframing difficulty), (4) technical and scenario limitations of advanced simulation (subtheme: gap between simulation and reality), and (5) yearning for the cutting edge (subtheme: interest in immersive learning technologies).

Conclusion: Participants reported positive experiences, including increased confidence, skill development, and an improved understanding of complex clinical concepts. However, limitations such as unrealistic scenarios and technical difficulties were identified. This study emphasizes the potential of advanced technologies, such as virtual and augmented reality, to overcome these challenges and create more immersive and engaging learning experiences.

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.