Background: The integration of artificial intelligence (AI) across different sectors, notably healthcare, is on the rise. However, a thorough exploration of AI's incorporation into nursing research, as well as its advantages and obstacles, is still lacking.Objective: The aim of this scoping review was to map the roles, benefits, challenges, and potentials for the future development and use of AI in the context of nursing research.Methods: An exhaustive search was conducted across seven databases: MEDLINE, PsycINFO, SCOPUS, Web of Science, CINAHL, Google Scholar, and ProQuest. Articles were additionally identified through manual examination of reference lists of the articles that were included in the study. The search criteria were restricted to articles published in English between 2010 and 2023. The Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA‐ScR guidelines guided the processes of source selection, data extraction, and data presentation.Results: Twenty articles met the inclusion criteria, covering topics from ethical considerations to methodological issues and AI's capabilities in data analysis and predictive modeling.Conclusion: The review identified both the potentials and complexities of integrating AI into nursing research. Ethical and legal considerations warrant a coordinated approach from multiple stakeholders.Implication: The findings emphasized AI's potential to revolutionize nursing research, underscoring the need for ethical guidelines, equitable access, and AI literacy training to ensure its responsible and inclusive use.

Refugee women’s employment and economic inclusion have emerged as significant areas of focus, with these women facing unique challenges due to their gender, refugee status, and sociocultural identities. Policymakers and researchers worldwide are giving this issue increased attention. This systematic review uses a mixed methods approach and includes 31 studies to explore the predictors, barriers, and facilitators of refugee women’s employment. The results reveal a pooled employment rate of 31.1% among refugee women. It identifies demographic features, language proficiency, education, and family structure as critical determinants of employment. The qualitative synthesis uncovers three key themes: the meaning and significance of employment; barriers to employment; and facilitators and coping for employment. This study underscores the multifaceted influences on refugee women’s employment. The findings can inform the creation of more targeted interventions, policies, and practices to support refugee women’s employment and economic integration.

Aim: To clarify the concept of quiet quitting in nursing practice. Design: Concept analysis using Walker and Avant's concept analysis methodology. Methods: The eight‐step method by Walker and Avant guided the concept analysis. Data Sources: A systematic literature search was conducted in CINAHL, PsycINFO, Scopus and MEDLINE without date restrictions, identifying 36 empirical and theoretical articles published in English. Results: Quiet quitting in nursing is defined by four key attributes: minimal compliance with job expectations, psychological and emotional detachment, withdrawal of discretionary effort and lingering in role despite dissatisfaction. Antecedents include unhealthy work environments, psychosocial strain (e.g., burnout, moral distress) and individual/demographic influences (e.g., age, coping strategies). Consequences include impaired team dynamics, reduced care quality and organisational decline and increased turnover intentions. Twenty‐five studies used validated measurement tools, notably the Quiet Quitting Scale. Conclusion: Quiet quitting is a subtle form of disengagement distinct from burnout and turnover. It reflects an adaptive coping response to sustained dissatisfaction and unmet expectations. It is both widespread and underrecognized, with implications for healthcare sustainability. Implications for Professional and Client Care: Understanding and addressing quiet quitting is essential for safeguarding professional standards, promoting nurse engagement and ensuring high‐quality patient care. Early identification and systemic reforms are critical to mitigating its impact. Impact: This study addresses the emerging challenge of nurse quit quitting. Findings can inform leadership, education and policy development globally, particularly in healthcare settings facing workforce strain, moral distress and retention challenges. Reporting Method: This article adheres to the PRISMA‐ScR reporting guidelines. Patient or Public Contribution: This study did not include patient or public involvement in its design, conduct, or reporting.

Critical ethnography and intersectionality are increasingly engaged in nursing and refugee research. Both approaches study marginalized populations and explore how their daily experiences of inequality and marginalization are influenced by various forms of oppression, power structures, and cultural context. A blended approach of critical ethnography with intersectionality can inform research with marginalized groups as both have much in common, including the call for social justice and change. This article outlines the potential of using the blended theoretical approach in advancing refugee women's health research and to inform a particular methodological approach for nursing research and health care practice.