{"title":"Comment on 'The Effectiveness of Telemedicine on Distress, Physical Function and Self-Efficacy in Patients With Cancer: A Meta-Analysis of Randomised Controlled Trials'.","authors":"Krishna Prasanth Baalann, Karthikeyan Ramachandran, Priya Santharam","doi":"10.1111/jocn.70293","DOIUrl":"10.1111/jocn.70293","url":null,"abstract":"","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":" ","pages":"4477-4479"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13569382/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147493981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clarifying Methodological Considerations in the Evaluation of Dev-NSRAS for Neonatal Pressure Injury Risk.","authors":"Biagio Nicolosi, Pablo Garcìa-Molina","doi":"10.1111/jocn.70373","DOIUrl":"10.1111/jocn.70373","url":null,"abstract":"","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":" ","pages":"4491-4492"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13569345/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148201116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Letter to the Editor: Trust, Resilience and Nurses' Well-Being: Advances, Unaddressed Gaps and Clinical Priorities.","authors":"Meina Zhang","doi":"10.1111/jocn.70296","DOIUrl":"10.1111/jocn.70296","url":null,"abstract":"","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":" ","pages":"4480-4482"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13569392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ge Bai, Andreas Efstathiades, Yanli Wang, Ruifang Liu
{"title":"Core Competencies of Nurses Working in Hospital Infection Prevention and Control: A Scoping Review and Cluster Analysis","authors":"Ge Bai, Andreas Efstathiades, Yanli Wang, Ruifang Liu","doi":"10.1111/jocn.70410","DOIUrl":"10.1111/jocn.70410","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Infection prevention and control (IPC) nursing plays a central role in implementing IPC standards and preventing healthcare-associated infections. However, a unified core competency framework for IPC nursing roles has yet to be clearly defined.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>This study aimed to identify and synthesise the core competencies required for IPC nurses, including infection control nurses (ICNs) and infection control link nurses (ICLNs). It also examined how these competencies differ according to role responsibilities and explored patterns of association among competency domains.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>A scoping review with cluster analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This scoping review followed a five-stage methodological framework, including identifying the research questions, identifying relevant sources, selecting sources, charting the data and collating, summarising and reporting the results. Based on this process, we conducted high-frequency term analysis and cluster analysis to identify the core competency structure.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>This review included 18 sources, from which 40 high-frequency terms were extracted and nine core competency domains were identified. Cluster analysis grouped these domains into three clusters: system-supporting and developmental competencies, IPC in clinical practice and microbiology and surveillance. When compared with the World Health Organization framework, these domains showed overall alignment while also revealing additional domains of importance, such as research competence and personal quality. ICNs placed greater emphasis on surveillance, leadership, education and programme management, whereas ICLNs focused more on clinical practice and communication.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study systematically mapped IPC nursing competencies into nine domains and three functional clusters, distinguishing role-specific profiles for ICNs and ICLNs. The findings can inform role-specific competency framework development and more targeted IPC education and workforce preparation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Highlights</h3>\u0000 \u0000 <div>\u0000 \u0000 ","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":"35 11","pages":"4648-4661"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jocn.70410","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148279708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lyndsay Jerusha Mackay, Laurie Lee, K. Alix Hayden, Suzanna Crawford, Gabrielle Harrison, Una Chang, Jessica Son, Nicole Chen, Joshua Yudkin, Sara Moore
{"title":"Strengthening Clinical Nurses' Research Capacity: A Scoping Review of Factors That Influence Nurses' Engagement in Clinical Research","authors":"Lyndsay Jerusha Mackay, Laurie Lee, K. Alix Hayden, Suzanna Crawford, Gabrielle Harrison, Una Chang, Jessica Son, Nicole Chen, Joshua Yudkin, Sara Moore","doi":"10.1111/jocn.70401","DOIUrl":"10.1111/jocn.70401","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To identify and map evidence on factors that influence nurses' engagement in clinical research.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>A scoping review was conducted in accordance with the JBI methodology.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>First, titles and abstracts of articles, then full-text articles, were screened by two independent researchers against inclusion and exclusion criteria. Data was extracted into a data extraction table. Findings from articles were synthesized using thematic analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Data Sources</h3>\u0000 \u0000 <p>Searches were conducted in Medline All (Ovid), Embase (Ovid), APA PsycInfo (Ovid), CINAHL Plus with Full Text (Ebsco) and Scopus on April 28, 2025.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Seventy-nine articles were included in this review. There were significant barriers that prevented nurses from engaging in research, including: lack of time, inadequate training, negative internal beliefs, insufficient organizational support and an unsupportive research culture. Factors that facilitated nurses' engagement in research included: research infrastructure, training and mentorship, visionary leadership, unit-level support, improved motivational components and enhanced organizational research culture. A multi-level framework and strategic recommendations are provided, along with an overview of the 23 interventions reported in the included articles are provided.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Nurses are constrained from conducting research to generate nursing knowledge due to multiple barriers. Visionary leadership is needed that prioritizes nursing research, establishes infrastructure and creates a culture of research excellence to enhance the quality and safety of nursing care.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Implications for the Profession and/or Clinical Practice</h3>\u0000 \u0000 <p>Healthcare organizations should support nursing research by providing nurses with paid release time from their clinical duties and building an accessible infrastructure. Infrastructure can include programmes, centres and academic-practice partnerships that provide nurses with access to research training, experienced mentorship, librarian and statistical support, gr","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":"35 11","pages":"4582-4628"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jocn.70401","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148279662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond the Bedside: The Pivotal Role of Nursing Clinical Leadership in Developing Virtual Ward Care Through Telemedicine—A Review of the Evidence","authors":"Clare Lewis, Thomas Kearns, Michael Shannon","doi":"10.1111/jocn.70413","DOIUrl":"10.1111/jocn.70413","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To synthesise international evidence on virtual wards (VWs) models and examine the pivotal role of clinical nursing leadership in the development, governance, and delivery of digitally enabled acute care.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Virtual wards deliver hospital-level care in patients' homes through telemedicine including remote monitoring, supporting admission avoidance and early supported discharge. While existing literature largely focuses on clinical outcomes and medical oversight, the contribution of nursing leadership to VW development and sustainability remains underexplored.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design and Methods</h3>\u0000 \u0000 <p>An integrative review was conducted, synthesising evidence from empirical studies, service evaluations, and policy literature. Searches were undertaken between February and April 2025 across CINAHL, PubMed, EMBASE, and the Cochrane Library, alongside targeted grey literature searches. The review focused on acute, hospital-integrated VW models implemented in Australia, Ireland, and the United Kingdom, enabling comparison of nursing leadership roles across three publicly funded healthcare systems.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Twenty-four sources met inclusion criteria, with six studies selected for in-depth case analysis. Across all models, nurses, particularly those in senior and advanced practice roles, were central to VW implementation. Nursing leadership underpinned key enablers of successful VW delivery, including staff training, clinical governance frameworks, standardised protocols, interoperable electronic health records, and patient empowerment through technology. Nurses led remote assessment and monitoring, coordinated multidisciplinary teams, operationalised escalation pathways, and ensured continuity of care across acute and community settings.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This review demonstrates that clinical nursing leadership is foundational to the effectiveness, safety, and scalability of VWs. While medical leadership provides essential diagnostic oversight, nursing leadership delivers sustained operational coordination, patient-centred design, and system integration. Empowering nurses to lead VW development is therefore critical to advancing integrated, high-quality acute care beyond the hospital setting.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Sta","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":"35 11","pages":"4510-4525"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jocn.70413","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Examining the Anxiety and Preparedness Levels of Nurses and Nurse Candidates for Artificial Intelligence Health Technologies.","authors":"Gülseren Maraş, Eda Albayrak Günday, Yeliz Sürme","doi":"10.1111/jocn.17562","DOIUrl":"10.1111/jocn.17562","url":null,"abstract":"<p><strong>Aims: </strong>This study examined the anxiety levels of nurses and nurse candidates regarding humanoid nurse robots and artificial intelligence health technologies in perioperative patient care.</p><p><strong>Design: </strong>Descriptive and cross-sectional study.</p><p><strong>Methods: </strong>The research was conducted with 158 intern students and 167 surgical nurses. Socio-demographic characteristics form, Questions Form Regarding Humanoid Nurse Robots and Artificial Intelligence Health Technologies, Artificial Intelligence Anxiety Scale and The Medical Artificial Intelligence Preparedness Scale were used. The independent t-test and one-way analysis of variance (ANOVA) were used. This study complied with Appendix S1.</p><p><strong>Results: </strong>The total scores on the Artificial Intelligence Anxiety Scale for nurses and nursing students are 73.089 ± 31.667 and 73.624 ± 28.029, respectively. The total scores on the Artificial Intelligence Readiness Scale for nurses and nursing students are 71.736 ± 15.064 and 72.183 ± 13.714, respectively. When comparing the sociodemographic characteristics and scale scores of nurses, a statistically significant difference was found between age and the Artificial Intelligence Anxiety Scale scores (p < 0.05). There was also a statistically significant difference between age, gender and work duration and the Artificial Intelligence Readiness Scale scores for nurses (p < 0.05).</p><p><strong>Conclusion: </strong>Both groups exhibited moderate levels of anxiety and readiness regarding artificial intelligence. Comprehensive research is needed to elucidate the impact of artificial intelligence technologies on nursing professionals.</p><p><strong>Implication for the profession: </strong>The proper use of Artificial Intelligence technologies can enhance the quality of patient care, alleviate the workload, increase patient and staff satisfaction and foster new perspectives on acceptance. With their integration into clinics, a patient-centred care environment will emerge, improving patient safety, outcomes and overall well-being. Thus, the anxieties of nurses and students towards artificial intelligence technologies will decrease, and their readiness will increase.</p><p><strong>Patient or public contribution: </strong>No Patient or Public Contribution.</p>","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":" ","pages":"4256-4264"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13569175/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142669411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nursing Professional Organisations as Human Rights Intermediaries: Towards an Integrated Framework of Stakeholdership for Healthcare AI Governance.","authors":"Jerome Visperas Cleofas","doi":"10.1111/jocn.70256","DOIUrl":"10.1111/jocn.70256","url":null,"abstract":"<p><strong>Aim: </strong>To propose a normative framework that guides nursing professional organisations to act as human rights intermediaries in the governance of artificial intelligence in healthcare.</p><p><strong>Design: </strong>Discursive paper.</p><p><strong>Results: </strong>The paper presents a triaxial framework that conceptualises the role of nursing professional organisations in artificial intelligence governance. The framework consists of a domain axis, which identifies key areas of engagement; a modality axis, which aligns actions with the specific functions of these organisations; and a human rights axis, which defines their role towards rights claimants and duty bearers.</p><p><strong>Conclusion: </strong>The proposed framework provides a practical tool for nursing professional organisations to strategically plan and implement initiatives to influence the advancement and regulation of artificial intelligence. Its application can help ensure that healthcare innovation is equitable and rights-based.</p><p><strong>Implications for the profession: </strong>This paper provides a blueprint for nursing leaders and policymakers to engage proactively with the ethical dimensions of artificial intelligence. It emphasises the salient roles of nursing professional organisations in advocating for the human right to health in a technologically driven healthcare landscape.</p><p><strong>Impact: </strong>This paper addresses the gap in how the nursing profession can systematically engage with artificial intelligence governance. The main finding is a novel framework that provides a structured way for nursing professional organisations to act as human rights intermediaries. This research will have a significant impact on nursing leadership, patient advocacy groups, and policymakers involved in healthcare technology and ethics.</p><p><strong>Patient or public contribution: </strong>Initial parts of this paper were presented to allied health practitioners via a webinar, providing early feedback and dialogue that informed its development.</p>","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":" ","pages":"4460-4472"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13569261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146229683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to Letter to the Editor: Comment on 'Development and Validation of a Negative Emotions Scale for Public Health Nurses Engaged in Child Abuse Prevention Activities'.","authors":"Haruka Yokobori, Chikako Honda, Hiroshige Matsumoto, Akari Maeda-Suzuki, Kyoko Yoshioka-Maeda","doi":"10.1111/jocn.70375","DOIUrl":"10.1111/jocn.70375","url":null,"abstract":"","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":" ","pages":"4493-4494"},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13569177/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148018772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}