Enfermeria clinica (English Edition)最新文献

{"title":"Artificial intelligence in the teaching practice of nursing professionals: opportunities, applications, and challenges","authors":"Antonio Rosa-Castillo ,&nbsp;Fernando Campaña-Castillo ,&nbsp;Guillermo Moreno-Muñoz ,&nbsp;Anna Falco-Pegueroles ,&nbsp;Cecilio Angulo-Bahón ,&nbsp;Silvia Carla da Silva-André-Uehara","doi":"10.1016/j.enfcle.2026.502489","DOIUrl":"10.1016/j.enfcle.2026.502489","url":null,"abstract":"<div><div>The incorporation of artificial intelligence (AI) into nursing education is becoming a key tool to respond to the growing demands for patient safety and excellence in care. This article examines the potential of AI to enrich training, highlighting the need for students to become familiar with technologies that are already embedded in clinical practice. Five areas of application are addressed: (i) intelligent tutoring systems that personalize learning pathways and enhance academic performance; (ii) immersive clinical simulation with virtual/augmented reality, which strengthens clinical reasoning and interprofessional communication; (iii) automated assessment and feedback, capable of drastically reducing faculty workload without compromising validity; (iv) adaptive curriculum design and agile resource generation, which lessen competency gaps and accelerate the development of teaching materials; and (v) tools to support faculty, freeing up time for high–pedagogical-value mentoring.</div><div>Although these developments contribute to personalization, efficiency, and the strengthening of competencies, their sustainable impact requires addressing ethical and operational challenges: digital literacy gaps, algorithmic bias, data protection, and transparency requirements imposed by regulation. The article concludes that the effective integration of AI calls for a balanced approach that combines technological innovation with pedagogical reflection and aligns with the humanistic values of nursing. Permanent AI literacy programs, institutional frameworks for ethical governance, investment in inclusive infrastructures, and robust research agendas that assess the real transfer of competencies to the clinical setting are recommended.</div></div>","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 4","pages":"Article 502489"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148007507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Re-framing emotional fatigue and post-pandemic mental health of nurses as a structural safety issue","authors":"Muhammad Taufan Umasugi","doi":"10.1016/j.enfcle.2026.502450","DOIUrl":"10.1016/j.enfcle.2026.502450","url":null,"abstract":"","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 4","pages":"Article 502450"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147935985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-perceived risk of falls in hospitalised adults: A comparison with nursing assessment","authors":"Elsa Rodríguez-Gabella,&nbsp;Belén Martín-Gil,&nbsp;Pedro Luis Muñoz-Rubio,&nbsp;Rocío Lozano-Pérez,&nbsp;Noel Rivas-González,&nbsp;Mercedes Fernández-Castro","doi":"10.1016/j.enfcle.2026.502439","DOIUrl":"10.1016/j.enfcle.2026.502439","url":null,"abstract":"<div><h3>Objective</h3><div>To identify adult patients’ perception of their risk of falling during their hospital stay, and relate it to the fall risk assessment carried out by the nurse.</div></div><div><h3>Methods</h3><div>A cross-sectional descriptive study conducted in a tertiary-level hospital within the Spanish public healthcare system, involving adult inpatients admitted during April 2024. Patients’ perception of their fall risk was assessed using an ad hoc 11-item questionnaire (α = .75), and the validated J.H. Downton scale was employed to identify clinical fall risk.</div></div><div><h3>Results</h3><div>94 participants responded, with a mean age of 64 years (SD = 14.9). The average self-perceived fall risk during hospitalisation was 1.6 (SD = 1.7). 31.9% were identified as being at high risk of falling (Downton score ≥3), whereas 30.9% of participants self-rated their risk as ≥3. Overall, 40.4% reported having received information on fall prevention. The most highly valued preventive measures were a safe environment (97.9%) and the use of a fall-risk identification wristband (67.6%).</div></div><div><h3>Conclusions</h3><div>Participants perceived a moderate-to-low risk of falling. A discrepancy was observed between self-perceived risk factors and the professional assessment. Maintaining a safe environment is the most highly rated preventive measure by users. The findings highlight the need to enhance communication and patient education in order to improve the effectiveness of fall prevention strategies and overall hospital safety.</div></div>","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 4","pages":"Article 502439"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148007602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of using software integrated with the ECOE for teaching paediatric medication administration to nursing students","authors":"Mery Luz Valderrama Sanabria,&nbsp;Felipe Andrés Corredor Chavarro,&nbsp;Javier Eduardo Martínez Baquero,&nbsp;Sandra Carolina Montaño Contreras","doi":"10.1016/j.enfcle.2025.502246","DOIUrl":"10.1016/j.enfcle.2025.502246","url":null,"abstract":"<div><h3>Objective</h3><div>The use of teaching methods that challenge and stimulate students’ interest and clinical decision-making skills is pertinent. The appropriate use of educational software can reduce teaching problems and facilitate learning in pediatric medication administration. The objective was todetermine the effectiveness of the use of software in the training of nursing professionals at the University de los Llanos.</div></div><div><h3>Method</h3><div>Quantitative quasi-experimental pre-post study with a control group. The competence administration of medications in pediatrics were evaluated by means of the instrument called structured objective clinical examination, which is recognized by the acronym ECOE which has constructed validity and an alpha value of 0.68, it is known and used for the evaluation of clinical competencies.</div></div><div><h3>Results</h3><div>The students of both groups received training in the selected procedure and performed the ECOE for the administration of medications in pediatrics. The intervention group was administered the software. Statistical analysis was performed with ANCOVA, students who learned with the software presented on average 0.75 more score or rating, compared to those of traditional teaching.</div></div><div><h3>Conclusions</h3><div>It was possible to determine that learning with educational software and the clinical simulation favored learning in the administration of medications in pediatrics; this study provides solid evidence that demonstrates the need for further research in this area to improve the knowledge, skills and attitudes of future nursing professionals.</div></div>","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 3","pages":"Article 502246"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145530803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nursing in the mirror of artificial intelligence: driving a new era of research","authors":"Claudia Patricia Cañadas-Aragón","doi":"10.1016/j.enfcle.2026.502414","DOIUrl":"10.1016/j.enfcle.2026.502414","url":null,"abstract":"","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 3","pages":"Article 502414"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147367389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding emotional reactions and coping strategies in Moroccan nurses and nursing students during COVID-19: A multiple regression analysis","authors":"Imane Attar ,&nbsp;Fatine Hadrya ,&nbsp;Meftaha Senhaji ,&nbsp;Igor Cigarroa ,&nbsp;Abdenbi Bendriss ,&nbsp;Anis Sfendla","doi":"10.1016/j.enfcle.2025.502309","DOIUrl":"10.1016/j.enfcle.2025.502309","url":null,"abstract":"<div><h3>Objective</h3><div>To predict the emotional responses and coping strategies of Moroccan professional nurses and nursing students during COVID-19 pandemic.</div></div><div><h3>Methods</h3><div>From April 2021 to June 2021, a quantitative comparative study was conducted with 68 professional nurses and 50 nursing students. Participants' responses were based on a self-administered questionnaire that included sociodemographic variables, the Positive and Negative Affect Schedule Scale (PANAS), and the brief Coping Orientation to Problems Experienced Inventory (COPE).</div></div><div><h3>Results</h3><div>A total of 118 participants complete responses, with mean ages ranging from 19 to 58 (M = 27.59, SD ± 8.98), and majority were female (n = 79, 66.9%). In terms of avoidance coping, male professional nurses reported significantly higher mean score (27.73, SD ± 3.69) than female nurses (25.71, SD ± 3.98) (t = −2.085, <em>P</em> = .041). The result of multiple regression showed that for professional nurses, approach and avoidance coping are associated with age (β = .76, <em>P</em> &lt; .001; β = .98, <em>P</em> &lt; .001; respectively), seniority in the profession (β = −.94, <em>P</em> &lt; .001; β = −1.13, <em>P</em> &lt; .001; respectively), and positive affect scores (β = .33, <em>P</em> &lt; .01; β = .32, <em>P</em> &lt; .01; respectively). Conversely, nursing students revealed a different profile, with age significantly associated with approach coping (β = .95, <em>P</em> &lt; .001) and avoidance coping (β = .95, <em>P</em> &lt; .001). Notably, in contrast to avoidance coping, approach coping increased significantly with a positive affect score (β = .29, <em>P</em> &lt; .01).</div></div><div><h3>Conclusion</h3><div>The use of various coping strategies by nurses in challenging situations highlights the crucial need for training in effective coping techniques for managing emotional reactions, as they have a considerable impact on mental well-being and the quality of nursing care.</div></div>","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 3","pages":"Article 502309"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145433028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence applied to care (I): Origin and general concepts","authors":"Reyes Grangel ,&nbsp;María Victoria Ibáñez Gual ,&nbsp;Amelia Simó Vidal ,&nbsp;Juan Carlos Amengual Argudo ,&nbsp;Óscar Belmonte Fernández","doi":"10.1016/j.enfcle.2026.502486","DOIUrl":"10.1016/j.enfcle.2026.502486","url":null,"abstract":"<div><div>Since the emergence of ChatGPT in November 2022, Artificial Intelligence has gained significant popularity, extending to multiple areas of daily and professional life. However, Artificial Intelligence encompasses much more than Generative Intelligence, including techniques that allow data analysis and support decision-making, especially in contexts such as healthcare. This boom necessitates efforts to ensure transparency and explainability of the predictive models and techniques used, to build trust among the healthcare professionals who must apply them.</div><div>This article provides a summary of the main predictive Artificial Intelligence techniques applicable to the nursing care process. Data-centric methods are described (Machine Learning, Deep Neural Networks and Generative Artificial Intelligence), as well as process-centric techniques (Predictive Process Monitoring). Each technique is illustrated with practical examples from the healthcare field, with the aim of facilitating their understanding by healthcare professionals. Finally, the main limitations of these techniques and their prospects are presented.</div></div>","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 3","pages":"Article 502486"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147534781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence and nursing care: From technological adoption to disciplinary co-creation","authors":"V.M. González-Chordá,&nbsp;M.A. Rodríguez-Calero,&nbsp;M. Lima-Serrano,&nbsp;H. González de la Torre,&nbsp;P. Fernández-Ortega,&nbsp;R. Camacho-Bejarano","doi":"10.1016/j.enfcle.2026.502513","DOIUrl":"10.1016/j.enfcle.2026.502513","url":null,"abstract":"","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 3","pages":"Article 502513"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147801643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Barriers to accessing healthcare among irregular sub-Saharan migrants in northern Morocco","authors":"Yassin Nouar ,&nbsp;Nisrin El Mlili ,&nbsp;Adil Najdi","doi":"10.1016/j.enfcle.2026.502361","DOIUrl":"10.1016/j.enfcle.2026.502361","url":null,"abstract":"<div><h3>Objective</h3><div>Morocco, due to its geographical position, is experiencing a growing influx of irregular sub-Saharan migrants attempting to transit to Europe. This study aims to identify the barriers that this population faces in accessing healthcare in city Tétouan of northern Morocco.</div></div><div><h3>Method</h3><div>A qualitative approach was employed, involving semi-structured interviews with 30 undocumented sub-Saharan migrants recruited through a non-governmental organization in city of Tétouan. Independent double-coding and an internal review of the transcripts were conducted to minimize subjective bias and strengthen the reliability of the findings. Recruitment via one NGO may have biased the sample and limited generalizability. Face-to-face interviews could also have introduced social desirability bias, affecting the accuracy of participant responses.</div></div><div><h3>Results</h3><div>Participants reported facing difficulties during their migratory journey (detentions, mistreatment, and injuries). The loss of social status and concerns about the future are sources of stress (19 out of 30 respondents). Twenty-six out of 30 respondents engage in begging to earn money. Financial accessibility is the main barrier to healthcare access for these migrants. Participants identified a positive impact from the role of the NGO in supporting migrants through healthcare services and covering part of the costs of consultations and medications. For these migrants, regularizing their status remains the only way to achieve optimal living conditions.</div></div><div><h3>Conclusion</h3><div>This study reveals major legal, language, and financial obstacles to healthcare for undocumented migrants in Tetouan and highlights the urgent need for public health efforts through stronger collaboration between policymakers and NGOs.</div></div>","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 3","pages":"Article 502361"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146020760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence applied to care (II): algorithms and applications","authors":"Reyes Grangel ,&nbsp;María Victoria Ibáñez Gual ,&nbsp;Amelia Simó Vidal ,&nbsp;Juan Carlos Amengual Argudo ,&nbsp;Óscar Belmonte Fernández","doi":"10.1016/j.enfcle.2026.502485","DOIUrl":"10.1016/j.enfcle.2026.502485","url":null,"abstract":"<div><div>As a continuation of the first part, this article presents case studies of application to healthcare of some machine learning and process mining methods and algorithms. We have selected some representative works of the techniques presented in the first article of this pair with a particular focus on the achieved results. These works are also relevant to the Spanish healthcare context.</div></div>","PeriodicalId":72917,"journal":{"name":"Enfermeria clinica (English Edition)","volume":"36 3","pages":"Article 502485"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147596479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}