The transition from bedside nurse to nurse manager can be challenging, and it needs more studies in Jordan. Therefore, this qualitative study aimed to explore the transition experience from a bedside nurse to a nurse manager in a governmental hospital in Jordan. The researcher utilized an interpretive phenomenological approach. Data collection included audio‐recorded face‐to‐face semistructured interviews with 12 full‐time nurse managers. The findings of this study identified six themes representing the experience of transition from bedside nurse to nurse manager: (1) swapping their nursing uniforms for administrative suits seeking transformation, (a) guidance and support: hand in hand and (b) nurse manager is a servant leader; (2) struggled to make a difference while being pulled in all directions with subthemes (a) single‐handed, (b) accountability without authority; and (3) sewing the executive suits with empowerment. In conclusion, the findings of this study indicated that the experience of transition from bedside nurse to nurse manager includes positive and negative aspects that are manifested by a willingness to wear the administrative suits, support, and guidance received either from the manager or from the staff nurses, and the presence of networking and empowerment to be effective as a new nurse manager. At the same time, the negative experiences were a lack of preparedness, lack of autonomy, frustration, and meeting the needs of top and lower managerial levels. Healthcare administrators must implement specialized training programs and assign mentors to facilitate the transition from bedside nurse to nurse manager, ensuring that new nurse managers are qualified to improve patient outcomes.

Hospital workplace violence is a significant global public health concern, impacting nurses’ mental well‐being and their likelihood of leaving their jobs. Previous research explored the associations between workplace violence, mental health, and turnover intention among nurses, which yielded inconsistent results due to smaller sample sizes, thus highlighting the need for a more comprehensive investigation with a large sample of a representative population. This study, drawing on a large dataset of 116,345 nurses from 67 tertiary hospitals across 31 provinces in China, aimed to assess the relationship between workplace violence and nurses’ mental health and turnover intentions between October and December 2023. Data were analyzed using multilevel regression models. The study assessed the varying levels of workplace violence (low, moderate, and high), mental health outcomes, and turnover intention. The study found that a substantial number of nurses, 30,987 (26.6%), experienced workplace violence in the year prior to the survey, with varying levels of severity. Specifically, 27,225 (23.4%) encountered low‐level violence, 3519 (3%) moderate violence, and 243 (0.2%) high‐level violence. After controlling for sociodemographic and work‐related variables, workplace violence was significantly associated with depressive symptoms (p < 0.001), stress (p < 0.001), anxiety symptoms (p < 0.001), burnout (p < 0.001), and turnover intention (p < 0.001). These findings underscore the critical need for policymakers, hospital administrators, and supervisors to take proactive measures. It is essential to implement strategies that both reduce the incidence of workplace violence and provide robust psychological support and interventions for nurses who have been affected. This collaborative effort will be crucial in protecting the mental health of nursing professionals and fostering a safer, more supportive work environment.Trial Registration: Chinese Clinical Trial Registry: ChiCTR2300072142

AimTo explore the experiences and perceptions of nurse‐surgeons practicing in the Australian public health system.BackgroundNurse‐surgeons occupy a unique and innovative role within perioperative healthcare, yet their integration is often complex and underexplored in the existing literature.Sources of EvidenceThis qualitative study adhered to the consolidated criteria for reporting qualitative research checklist of the EQUATOR Network, involving five semistructured interviews analysed inductively through a reflexive thematic analysis. Ethical approval was obtained prior to the study.DiscussionParticipant interactions with supervisors were positive, while relationships with other nurses and physicians evolved from initial antagonism to mutual recognition of value. Facilitators for integration included awareness of the role, collaboration, a standardised national credentialing pathway and government involvement. The barriers consisted of geographical limitations, obstructive medical associations, financial challenges, tall poppy syndrome within nursing and a superiority complex among physicians.ConclusionThe study offers valuable insights into the nurse‐surgeons’ experiences and perceptions, highlighting essential barriers and facilitators to their integration in the healthcare system.Implications for Nursing PracticeFindings may guide healthcare institutions in fostering collaborative interprofessional interactions and implementing standardised credentialing pathways for nurse‐surgeons.Implications for Health PolicyThe insights may inform nursing associations and government bodies in addressing systemic barriers and advocating for policy changes to enhance surgical delivery in Australia and globally.

IntroductionWhile research on nursing leadership has grown, empirical studies specifically addressing e‐leadership in nursing remain scarce. Digitalization offers opportunities to enhance efficiency and flexibility but also necessitates careful management of interpersonal relationships and staff well‐being. E‐leadership in nursing requires strong interpersonal competencies, organizational support, targeted training, and clear policies, along with a balanced leadership approach. Notably, there is a lack of research on the state of e‐leadership in nursing in the postpandemic context.AimThis study aims to explore the current state of Finnish nurse leaders’ experiences with e‐leadership.MethodsA qualitative research design was employed, utilizing individual thematic interviews and inductive content analysis. Fourteen individual interviews were conducted. The Standards for Reporting Qualitative Research (SRQR) checklist guided the reporting process.ResultsThe analysis yielded three main categories: (1) E‐leadership in nursing is here to stay, (2) a lack of consistent e‐leadership practices in nursing, and (3) e‐leadership presents challenges for both nurse leaders and staff. Although e‐leadership remains under development and lacks clearly defined structures, both nurse leaders and staff demonstrate a willingness to adopt and implement this leadership model. However, organizational support has been insufficient, often leaving nurse leaders to independently develop solutions to the challenges they face.ConclusionThis study reinforces previous findings on e‐leadership in nursing while offering new insights into its current state. E‐leadership is a dynamic and evolving practice that requires a delicate balance between digital efficiency and human connection. Despite its challenges, e‐leadership presents significant opportunities for the nursing profession, including enhanced flexibility and improved work–life balance.Implications for Nursing ManagementThe findings can inform the development of practical guidelines for implementing e‐leadership in nursing and healthcare settings.

AimTo determine work conditions and reactions related to nurse burnout while exploring characteristics of favorable work environments among nurses without burnout.Design/MethodsThe Coping with Covid survey, administered between April 14, 2020, and March 2021, was fashioned after the Mini Z, with 15 questions related to work conditions (fear/safety, work overload, anxiety/depression from work, feeling valued, and sense of purpose) and healthcare worker (HCW) reactions, including burnout, stress, and intention to leave (ITL) the job. Work conditions and reactions such as burnout were measured on 5‐point scales and then dichotomized as present/high or absent/low. Multilevel regressions assessed burnout‐related work conditions, adjusting for gender, race, and years in practice. Thematic analysis of comments from nurses without burnout identified protective factors.ResultsOf 58,408 HCW respondents at over 200 organizations (median response rate 34%), 11,040 were nurses, with 10,873 at 43 organizations with over 10 nurses. More than half the nurses (56%) reported burnout, 42% intended to leave, and only 40% felt valued. Nurse burnout was significantly related to workload (adjusted odds ratio (aOR) 3.71 (95% CIs 3.26, 4.22), p < 0.001); anxiety/depression symptoms from work (aOR 2.96 (2.59, 3.39), p < 0.001), and fear of exposure to SARS‐CoV‐2 (aOR 1.38 (1.20, 1.59), p < 0.001). Those feeling valued had less than half the odds of burning out (aOR 0.40 (0.35, 0.46), p < 0.001). These variables explained 42 percent of burnout variance. Nurses without burnout identified additional positive influences, including teamwork, leader support, and timely communication.ConclusionsNurse burnout may be prevented by addressing workload, mental health symptoms, and relationships with team members and leaders. Feeling valued is a strong mitigator of burnout. These strategies may be useful to nurse leaders in building sustainable workplaces.ImplicationsAlmost half of nurse burnout may be addressed by a brief list of remediable variables.

Artificial intelligence (AI) has increasingly influenced healthcare, yet its adoption in nursing research remains underexplored. Although interest in AI applications, such as robotics, decision support, and machine learning, is growing, a comprehensive bibliometric mapping of global scholarship in nursing remains lacking. To examine the global trends, intellectual structures, and thematic evolution of AI-related research in nursing from 1984 to 2025 (through May 2025) and to identify key authors, institutions, and research foci. A systematic search was conducted in the Web of Science Core Collection using predefined title-based keywords ("nurse" OR "nursing") AND ("artificial intelligence" OR "machine learning" OR "deep learning" OR "robotic∗" OR "chatbot∗" OR "neural network∗"). Studies were included if they explicitly addressed nursing practice, management, education, or research applications of AI. Two independent reviewers screened all records by title and abstract to confirm nursing relevance using predefined inclusion and exclusion criteria. This yielded 799 records; after removing duplicates and uncited papers, 530 publications were retained as nursing-related. Bibliometric analysis employed performance and science-mapping techniques via VOSviewer and Biblioshiny. Indicators included publication trends, citation distributions, keyword co-occurrence, authorship patterns, and collaborations. The number of publications increased substantially after 2018, with the United States, China, and the United Kingdom being the most productive countries. Dominant research themes included robotics in elder care, clinical decision support systems, and nursing education enhanced by AI tools. Coauthorship analysis revealed limited international collaboration, and keyword mapping identified "robotics," "machine learning," and "nursing education" as leading focal points. Despite decades of development, AI remains an emerging and underutilized area within nursing research. The rapid growth of publications in recent years signals expanding interest, yet the field lacks consolidated efforts and cohesive global collaboration. Greater interdisciplinary and international engagement is needed to accelerate innovation.

This study aims to analyze the critical variables and gap variables affecting hospital nurses' job satisfaction and propose improvement strategies based on the knowledge domains of nursing decision-makers. This study, conducted between September and October 2022 during the dynamic adjustment phase of COVID-19 prevention and control in China, was based on the McCloskey/Mueller Satisfaction Scale (MMSS) and developed a hybrid machine learning and decision analysis tool model. The random forest (RF) method was used to estimate the importance of each variable in the data, and the importance-performance analysis (IPA) was used to identify critical gap variables and propose improvement strategies. The RF analysis (OOB error rate = 17.93%) identified "Decision-making" (C30, importance score = 0.053) and "Control-work conditions" (C29, importance score = 0.067) as the most influential factors (critical variables) in determining nurses' job satisfaction. The IPA analysis identified C30 as the most critical gap variable, indicating a significant need to improve nurses' involvement in hospital decision-making processes. To improve nurse job satisfaction and retention, hospital decision-makers and nursing departments should implement policies that enhance nurses' involvement in decision-making, particularly those with experience in pandemic-related healthcare challenges. Addressing these factors could foster a more supportive and resilient nursing work environment.

Advanced Nursing Practice is well established in Irish healthcare; these nurses are educated to practice at higher levels of competency as Advanced Nurse Practitioners (ANPs). Nurses working as ANP Older Persons are relatively new and offer a unique skillset that facilitates the delivery of holistic person-centred care. To date, this represents novel research, as the ANP role in Older Persons' care has not previously been explored from the perspective of the interdisciplinary team. The aim of this research was exploring the role of the ANP Older Persons from the perspective of the interdisciplinary team. The objective of this study was to gain a greater insight of the IDT's perception of the ANP Older Persons' role. A total of 40 participants were interviewed in 11 focus groups using semistructured interviews. Participants included representation from health and social care professionals, nurses and medical staff. Data were collected and analysed using Braun and Clarke (2021) theoretical framework, and results are presented in three themes: Contribution of the ANP Older Persons' Role to Clinical Practice and Patient Care, Contribution of the ANP Older Persons' Role to the Interdisciplinary Team and Barriers to the Development of the ANP Older Persons Role are the three emerging themes. The findings indicate that the ANP Older Persons is a valuable resource in the IDT providing education, leadership, clinical expertise and enhancing patient care. Ambiguity exists around defining advanced practice nursing in older person's services, and there are barriers to the development of the ANP Older Persons' role.

Nursing students face significant psychological challenges, with general self-efficacy (GSE) serving as a critical protective factor. Although family socioeconomic status (SES) and family relationship quality (FRQ) have been linked to GSE, their underlying pathways and the moderating role of institution type (vocational vs. undergraduate colleges) remain unclear. This study aimed to examine the association between SES and GSE among nursing students, focusing on FRQ as a mediator and institution type as a moderator. A cross-sectional survey of 1461 nursing students from two Chinese medical institutions was conducted. SES was derived from five socioeconomic indicators using principal component analysis. FRQ was constructed as a latent variable from three observed items using confirmatory factor analysis. GSE was measured using the General Self-Efficacy Scale. Mediation and moderated mediation analyses were performed using PROCESS macros. SES was positively associated with GSE (B = 0.313, p = 0.004). FRQ partially mediated the relationship between SES and GSE in the total sample (β = 0.060, 95% CI [0.009, 0.115]). However, this mediation was only significant among undergraduates (β = 0.118, 95% CI [0.043, 0.201]) and not among vocational students (β = -0.005, 95% CI [-0.060, 0.051]). Institution type moderated both the direct effect of SES on GSE and the indirect effect via FRQ, with stronger associations among undergraduate students. Specifically, simple slope test showed that SES was associated with GSE among undergraduates (β = 0.455, 95% CI [0.191, 0.720]) but not among vocational students (β = 0.021, 95% CI [-0.324, 0.367]). Family SES was positively associated with nursing students' GSE directly and indirectly via FRQ, and these associations were stronger among undergraduate than among vocational students. These findings suggest that considering both family resources and educational context may be useful when designing targeted interventions to foster GSE among nursing students.

To report a conceptual definition of intertemporal decision-making in health behaviours. Decisions regarding health behaviours-such as whether to smoke or exercise-occur daily. As these decisions involve trade-offs between short-term and long-term outcomes, conceptualising them within an intertemporal context is crucial for understanding the mechanisms underlying health behaviours and advancing related research. This study employed Walker and Avant's (2019) concept analysis technique. A systematic search was conducted across databases including PubMed, EMBASE, MEDLINE, CINAHL, APA PsycINFO, EconLit with Full Text and Scopus from the date each database was available to March 2025. Additionally, dictionaries, grey literature and reference lists were reviewed to identify relevant literature. A total of 49 papers were included. Intertemporal decision-making in health behaviours refers to the process through which individuals make trade-offs and choices between the short-term and long-term outcomes of health-related behaviours, with the consequences encompassing both different aspects (health aspect and nonhealth aspect) and different signs (costs and benefits). Throughout this process, individuals' dynamic preferences in health-related decisions ultimately determine their behavioural choices. This study developed a universal definition and conceptual model for 'intertemporal decision-making in health behaviours', which aids in comprehensively interpreting individuals' health behaviours. This conceptual analysis lays the foundation for future research, education, practice and policy, which also contributes to improving healthcare practices and global health. We recommend that nursing managers guide nursing teams to integrate patients' health-related decision preferences into care assessments, which promotes evidence-based precision care practices and optimises medical resource allocation.