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The aim of this integrative review is to critically appraise and synthesise empirical evidence on the clinical applications, outcomes, and implications of generative artificial intelligence in nursing practice.
Integrative review following Whittemore and Knafl's five-stage framework.
Systematic searches were performed for peer-reviewed articles and book chapters published between 1 January 2018 and 30 June 2025. Two reviewers independently screened titles/abstracts and full texts against predefined inclusion/exclusion criteria focused on generative artificial intelligence tools embedded in nursing clinical workflow (excluding nursing education-only applications). Data were extracted into a standardised matrix and appraised for quality using design-appropriate checklists. Guided by Whittemore and Knafl's integrative review framework, a constant comparative analysis was applied to derive the main themes and subthemes.
CINAHL, MEDLINE, and Embase.
Included literature was a representative mix of single-group quality improvement pilots, mixed-method usability and feasibility studies, randomised controlled trials, qualitative descriptive and phenomenological studies, as well as preliminary and proof-of-concept observational research. Four overarching themes emerged: (1) Workflow Integration and Efficiency, (2) AI-Augmented Clinical Reasoning, (3) Patient-Facing Communication and Education, and (4) Role Boundaries, Ethics and Trust.
Generative artificial intelligence holds promise for enhancing nursing efficiency, supporting clinical decision making, and extending patient communication. However, consistent human validation, ethical boundary setting, and more rigorous, longitudinal outcome and equity evaluations are essential before widespread clinical adoption.
Although generative artificial intelligence could reduce nurses' documentation workload and routine decision-making burden, these gains cannot be assumed. Safe and effective integration will require rigorous nurse training, robust governance, transparent labelling of AI-generated content, and ongoing evaluation of both clinical outcomes and equity impacts. Without these safeguards, generative artificial intelligence risks introducing new errors and undermining patient safety and trust.
PRISMA 2020.
The BioCaPPE (Biomarkers of Prostate Cancer/Prevention and Environment) study is a multicentre prospective observational cohort designed to identify biomarkers associated with prostate cancer (PCa) risk that may be modifiable through lifestyle factors. This paper describes the cohort, along with the data and bio-samples available for future studies in PCa risk assessment.
Canadian men at risk of PCa were enrolled based on one of two criteria (1) negative first prostate biopsy within 6 months from enrolment (Group 1); or (2) a prostate-specific antigen (PSA) blood level between 2.5 and 10 ng/mL without prior prostate biopsy (Group 2). At baseline, blood samples and comprehensive data were collected. PCa incidence and lifestyle factors were updated for all participants over 2 years, with extended follow-up for those who provided additional consent.
Recruitment was conducted across four health centres in Quebec, Canada. A total of 2053 men were enrolled—1499 in Group 1 and 554 in Group 2. All participants completed the initial visit, which included collection of medical and family history, anthropometric measurements, demographic information, dietary and alcohol intake, physical activity, tobacco use, medication use, and quality of life assessments, and candidate biomarker measurements. At the 2-year mark, 7.2% of participants had developed PCa; this figure has since increased to 15.3% (median follow-up: 6.1 years). Additionally, 84% (n=1718) consented to ongoing annual follow-up.
This large, prospective cohort of men at risk of PCa offers valuable resources for risk stratification and primary prevention. The BioCaPPE biosamples and data are available to support the identification of lifestyle-related biomarkers associated with PCa risk in this population.
ClinicalTrials.gov Identifier: NCT03383016.
To report how mentorship influences the educational experiences and training of doctoral nursing students.
Integrative literature review.
Peer-reviewed journal articles, theoretical works and editorials published in English that focused on doctoral nursing education were included. Papers reporting on mentorship for undergraduate nursing students, nursing faculty, educators, academics or clinical placements were excluded. Data were synthesised into an integrative review, with findings presented as a narrative summary.
Relevant papers published between January 2015 and January 2025 were identified using CINAHL, MEDLINE, Web of Science, Scopus, ERIC and Embase electronic databases. Search date March 10, 2025.
The review included 16 articles, mostly from the United States of America (USA), examining mentoring in doctoral nursing education. Key findings highlighted valued mentor attributes, such as role modelling and expertise, along with benefits like enhanced research skills, academic performance and personal development. Mentoring also positively impacted mentors' creative performance. Barriers included limited mentor access and compatibility issues.
This review highlights essential attributes of effective mentors, balancing relational skills with expertise. Mentorship enhances student research skills, performance and personal development, also benefiting mentors' creativity. Limited access and compatibility issues pose barriers for nurse scholars. Doctoral programmes should prioritise mentor training, culturally responsive practices and equitable opportunities. Investing in mentorship can cultivate confident nurse leaders and scholars.
This review underscores the necessity of structured mentorship within doctoral nursing education. Effective mentorship directly influences student development, enhancing their research capabilities, academic achievements and readiness for professional roles. Prioritising mentor training and implementing culturally responsive mentorship frameworks can foster inclusive environments that better support diverse doctoral students, ultimately strengthening the nursing profession's academic and clinical leadership.
This integrative review was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
This study did not include patient or public involvement in its design, conduct, or reporting.
by Wenting Yan, Carmel L. Montgomery, Liz Dennett, Stephanie A. Chamberlain
BackgroundThe demographic landscape of Western countries has shifted to a more diverse one. Along with the trend of an aging population, a new problem has emerged, which is the increased linguistic diversity in the aging population in these countries. As people age and their care needs increase, they may not receive optimal care if they don’t speak the same language as their caregivers in long-term care facilities. Culturally and linguistically responsive long-term care services are important to ensure the best care for an aging population, but there is limited evidence in the literature on the scope and practice of these services. The objective of this scoping review is to map out the types of CLR programs in LTC settings and examine their core components and target populations.
MethodsThe Arksey and O’Malley framework, further developed by Levac and colleagues, will be employed in this scoping review. The research question was framed using the PCC framework. A comprehensive systematic search was developed with an experienced librarian and will be conducted in Scopus, CINAHL, Embase, Medline, PsycINFO, and Academic Search Complete. All primary study designs, including quantitative, qualitative, and mixed methods, will be included. Studies must focus on culturally and linguistically responsive care programs used or implemented in long-term care services. There will be no date or language limitations. Findings will be thematically synthesized to answer the research question.
ConclusionThis review protocol provides a transparent process for how it will be conducted. We aim to contribute to a better understanding of what culturally and linguistically responsive care programs exist, how cultural and linguistic responsiveness is currently addressed across diverse care environments, and what gaps remain in long-term care.
To explore the experiences of healthcare staff in organisations undergoing regulatory scrutiny and to identify the professional and organisational impact.
Integrative review.
Medline, CINAHL, Scopus, and Google Scholar.
This review followed Whittemore and Knafl's framework, adhering to PRISMA guidelines. Searches identified peer-reviewed studies from 2010 to 2025 examining healthcare staff under regulatory scrutiny. Studies employing diverse methodologies were included and synthesised using the constant comparison method to identify and refine key themes.
Eight studies were included. Four interrelated themes were identified: (1) workforce wellbeing, autonomy, and professional identity; (2) regulatory culture, organisational adaptation, and quality improvement; (3) communication and relationships; and (4) impact on patient care and contextual variation.
Regulatory scrutiny profoundly shapes healthcare quality and professional culture but can unintentionally undermine workforce adaptability and innovation essential for effective care. These findings highlight the need for nursing-sensitive regulatory approaches that support professional autonomy, reduce burden, and enhance patient-centred care.
This evidence will inform nursing and midwifery policy and practice globally by providing support to inform nuanced, context-sensitive regulatory approaches that safeguard professional autonomy, reduce administrative burden, and promote safe, person-centred care across diverse healthcare settings. It will assist policymakers, healthcare leaders, and educators worldwide in enhancing workforce sustainability, patient safety, and care quality, facilitating the transfer of learning to varied healthcare environments and systems.
Not applicable.
To present the current evidence on the nature and principles of Equity, Diversity and Inclusion (EDI) in Nursing Education Institutions (NEIs).
Five databases (CINAHL, Medline, Scopus, ERIC and Educational Research Complete) and websites of Canadian nursing education institutions were searched for studies and grey literature on EDI. Information was analysed using the Diversio Diversity and Inclusion Survey (DDIS) framework to highlight the nature and principles of EDI in NEIs. A content analysis guided by a deductive approach informed the data synthesis.
Eighty-eight studies (90 papers) published between 1999 and 2025 were included from 1301 identified articles in the database search. The websites of seven nursing institutions in Alberta, Canada, were examined. The review revealed facilitators, barriers and gaps. The results illustrated the presence and need for diversity, inclusion, equal opportunity and fairness, employing the DDIS framework across participant groups, curricula and contexts.
The literature on EDI in NEI is diverse and provides many facilitators, barriers, challenges and gaps. This review reveals the need for intervention and review studies to highlight specific practices that can lead to successful EDI implementation in NEIs.
These results show that further research is required to refine the definition of EDI within the nursing academy. Evidence must be advanced to develop nursing theories, frameworks and methods specific to EDI implementation.
Promoting EDI is a vital goal for the nursing profession, and there is a need to understand how EDI behaves in NEIs. This review revealed facilitators, challenges, barriers, gaps and principles of EDI that exist within NEI in the literature. This data can support policy and practice change within NEIs and promote EDI within those organisations.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist was adhered to in this review.
This study did not include patient or public involvement in its design, conduct, or reporting.
To report organisational factors known to positively contribute to nurses' well-being in the workplace.
Integrative literature review.
Peer-reviewed journal articles using various methodological approaches, and theoretical works, published in English with a focus on organisational factors and nurses' well-being were included. Papers reporting on other healthcare professional groups and/or nursing students were excluded. Data were synthesised into an integrative review, with findings organised theoretically, according to the PERMA model (Positive emotions, Engagement, Relationships, Meaning, Accomplishment), otherwise known as The Well-being Model.
Relevant papers published between May 2020 and April 2025 were identified using CINAHL and PsycINFO electronic databases. Search date, April 24, 2025.
The review included 18 articles, mostly from Europe and the United States, examining workplace factors that contribute to the health and well-being of nurses. Mapping findings to the PERMA domains showed that organisational support and individual strategies together foster flourishing among nurses.
This review highlights both individual factors (such as self-care, strength use and adaptive coping) and organisational structures (including supportive environments, professional development and recognition) that are essential for nurses' well-being and flourishing. However, effective interventions require systemic change, with leadership and education playing key roles in supporting nurses to flourish in the workplace.
This review addressed the need to go beyond deficit models of nurses' well-being to pinpoint specific organisational factors that can help nurses to flourish. Prioritising nurse well-being is vital for high-quality, safe and sustainable healthcare systems. Investing in environments where nurses can flourish benefits both individuals and the broader healthcare system.
This integrative review was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
This study did not include patient or public involvement in its design, conduct or reporting.
To report the current state of nurses' engagement in professional and organisational citizenship behaviours worldwide and identify the factors that enable or hinder these discretionary, value-adding actions.
Integrative literature review.
Peer-reviewed empirical studies, theoretical works and editorials published in English between January 2015 and April 2025 were eligible. Reports had to examine nurses' engagement in professional citizenship behaviours or organisational citizenship behaviours. Conference abstracts, dissertations and studies centred on non-nursing workforces were excluded. Quality was appraised with the mixed methods appraisal tool; data were synthesised narratively using constant-comparison techniques.
CINAHL Complete and MEDLINE were searched on 30 April 2025.
Nineteen articles met the inclusion criteria: seventeen empirical studies (sixteen cross-sectional surveys; one randomised controlled trial) and two editorials. Research emerged across eight countries, including Asia, the Middle East, Europe and North America. For organisational citizenship, six inter-locking themes emerged: (1) psychological resources and personality, (2) attitudinal and affective mediators, (3) leadership effects, (4) ethical, fair and supportive climate, (5) outcomes (patient safety, job satisfaction, retention) of organisational citizenship and (6) sparse intervention evidence (one neurolinguistic programming RCT). No empirical studies directly measured professional citizenship; evidence is limited to two conceptual papers calling for civic, policy and professional association engagement. Thus, the main theme was (7) professional citizenship as a nascent (i.e., emerging) field. Overall, citizenship flourished when nurses felt psychologically resourced, fairly treated and supported by transformational or ethical leaders. Burnout, incivility and destructive leadership suppressed organisational citizenship behaviours.
Nurses' organisational citizenship behaviours yield important benefits for patients, staff and healthcare organisations, including improved safety, satisfaction and retention. In contrast, professional citizenship behaviours remain largely conceptual, highlighting the need for foundational research to define and operationalise this construct. Advancing both organisational and professional citizenship should be a strategic priority for health systems worldwide to sustain the nursing workforce and strengthen care quality.
Embedding citizenship behaviours in education, leadership development and policy can strengthen workforce retention, enhance patient-safety culture and drive professional advocacy. Priority actions include routine assessment of organisational citizenship behaviours, leadership coaching and instrument development, plus intervention trials targeting professional citizenship behaviours.
To explore healthcare professionals' experiences of providing compassionate care and identify care situations considered challenging, with attention to the factors that contribute to these challenges.
A cross-sectional qualitative study was conducted involving 878 healthcare professionals in New Zealand who completed an anonymous online survey between February and May 2022. Of these, 115 participants provided detailed narrative responses describing patient care situations that challenged the provision of compassionate care. These qualitative responses were analysed using content analysis, guided by the Transactional Model of Physician Compassion and reported following the COREQ qualitative reporting guidelines.
Three major themes emerged: (1) fragmented services, resource constraints, and compartmentalisation of care; (2) clinician compassion needs and motivations; and (3) patient-related challenges impacting compassionate care. Over 90% of narratives described barriers to compassionate care that were linked to interconnected patient, clinician, clinical, and systemic factors—rather than being focused on individual patient influences alone.
Challenges to compassionate care are rarely attributable to individual patient characteristics alone. Instead, they reflect complex interactions among patient, provider, clinical, and systemic factors, underscoring the need for multilevel interventions to foster equitable, compassionate care.
This study highlights that barriers to compassionate care are embedded in complex systemic, clinician, and patient domains. Findings underscore the need for interprofessional collaboration, resilience-building strategies, and integrated approaches to enhance compassionate and equitable healthcare delivery.
None.
To examine if trans and gender non-conforming participants perceive greater healthcare inequities in their interactions with healthcare practitioners than cisgender sexual minority participants, and analyse free text responses from transgender and gender non-conforming participants to gain possible insight into causes of inequities.
A cross-sectional study.
An anonymous online survey of over 2800 self-selecting LGBTQI+ participants, 30% of whom identified as trans and gender non-conforming. The research team devised closed and open-ended questions about perceptions of healthcare provision and analysed quantitative responses using SPSS and open-ended data through thematic analysis.
Over half of trans and gender non-conforming participants reported having had occasion to educate healthcare professionals about LGBTQI+ identities and a majority reported that healthcare professionals made incorrect assumptions about their LGBTQI+ identity. Invalidation and pathologisation of participants' trans and gender non-conforming identity and unhelpful therapeutic approaches were some of the negative health experiences cited.
Trans and gender non-conforming populations experience significant barriers to healthcare relative to their cisgender sexual minority peers. Cisnormative thinking in healthcare practice together with a lack of knowledge of trans and gender non-conforming people's experiences leads to substandard care and acts as a barrier to disclosure and help seeking.
Culturally responsive healthcare is critical to ending health inequities experienced by trans and gender non-conforming people.
Problem addressed: Healthcare inequities among trans and gender non-conforming participants.
Main findings: Trans and gender non-conforming participants reported more negative perceptions of their healthcare experiences compared to cisgender sexual minority participants.
Where and on whom will the research have an impact? Healthcare educators/practitioners.
Strobe.
Members of the LGBTQI+ community were part of the research advisory group and inputted into paper authorship.
Highlights the need for training to increase cultural competency among healthcare providers.
This study proposes an evaluation of the efficacy of machine learning algorithms in classifying chronic pain based on Italian nursing notes, contributing to the integration of artificial intelligence tools in healthcare within an Italian linguistic context. The research aimed to validate the nursing diagnosis of chronic pain and explore the potential of artificial intelligence (AI) in enhancing clinical decision-making in Italian healthcare settings. Three machine learning algorithms—XGBoost, gradient boosting, and BERT—were optimized through a grid search approach to identify the most suitable hyperparameters for each model. Therefore, the performance of the algorithms was evaluated and compared using Cohen's κ coefficient. This statistical measure assesses the level of agreement between the predicted classifications and the actual data labels. Results demonstrated XGBoost's superior performance, whereas BERT showed potential in handling complex Italian language structures despite data volume and domain specificity limitations. The study highlights the importance of algorithm selection in clinical applications and the potential of machine learning in healthcare, specifically addressing the challenges of Italian medical language processing. This work contributes to the growing field of artificial intelligence in nursing, offering insights into the challenges and opportunities of implementing machine learning in Italian clinical practice. Future research could explore integrating multimodal data, combining text analysis with physiological signals and imaging data, to create more comprehensive and accurate chronic pain classification models tailored to the Italian healthcare system. Rev Enferm;41(3): 188-196, mar. 2018. [Artículo]
FreshRSS 