Nursing Reports最新文献

{"title":"The Transition to Caregiver in Advanced Alzheimer's Disease: From Emotional Connection to Care Responsibility-A Grounded Theory Approach.","authors":"Federica Dellafiore, Orejeta Diamanti, Luca Guardamagna, Gloria Modena, Pierpaolo Servi, Donato Antonio Rotondo, Tiziana Nania, Andreina Saba, Giovanna Artioli","doi":"10.3390/nursrep15080284","DOIUrl":"10.3390/nursrep15080284","url":null,"abstract":"<p><p><b>Background:</b> The progression of Alzheimer's Disease (AD) deeply affects not only the diagnosed person but also their close relatives, who are often called to take on the role of informal caregivers. This transition is frequently unplanned and emotionally complex, yet poorly understood in its deeper processual dimensions. This study aims to explore and theorize the transition experienced by a family member becoming the primary informal caregiver for a person with advanced AD. <b>Methods:</b> A qualitative study based on the Constructivist Grounded Theory according to Charmaz's approach (2006) was conducted. In-depth interviews were carried out with 10 participants who had become informal caregivers for a loved one with advanced AD. Data were analyzed using initial coding, focused coding, the constant comparative method, and theoretical coding. <b>Results:</b> Ten caregivers (mean age 39 years, range 35-54; nine females) of patients with advanced AD participated in the study. The analysis revealed a complex, emotionally intense caregiving experience marked by sacrifice, feelings of powerlessness, identity loss, and the necessity of sharing caregiving responsibilities. A core category emerged: A Silent and Certain Willingness to Care, representing the caregivers' deep, often unconscious commitment to prioritize the care of their loved ones above their own needs. Four interconnected phases characterized the caregiving process: (1) The Changing Daily Life-involving significant sacrifices in personal and social life; (2) Feeling Powerless-confronting the inevitable decline without means to alter the course; (3) Losing Oneself-experiencing physical and psychological exhaustion and a sense of identity loss; and (4) Sharing with Others-seeking external support to sustain caregiving. These findings highlight the evolving nature of becoming a caregiver and the enduring dedication that sustains this role despite the challenges. <b>Conclusions:</b> The progression of AD deeply transforms the lives of caregivers, who become co-sufferers and active participants in the disease's management. The results underscore the urgency of designing integrative care strategies-including psychological, social, and potentially technological support-that can enhance both patient outcomes and caregiver resilience. Grounded in real-world experiences, this study contributes to the broader neurodegeneration discourse by emphasizing caregiving as a critical factor in long-term disease management and therapeutic success.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12388786/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Contribution of Artificial Intelligence in Nursing Education: A Scoping Review of the Literature.","authors":"Federico Cucci, Dario Marasciulo, Mattia Romani, Giovanni Soldano, Donato Cascio, Giorgio De Nunzio, Cosimo Caldararo, Ivan Rubbi, Elsa Vitale, Roberto Lupo, Luana Conte","doi":"10.3390/nursrep15080283","DOIUrl":"10.3390/nursrep15080283","url":null,"abstract":"<p><p><b>Background and Aim:</b> Artificial intelligence (AI) is among the most promising innovations for transforming nursing education, making it more interactive, personalized, and competency-based. However, its integration also raises significant ethical and practical concerns. This scoping review aims to analyze and summarize key studies on the application of AI in university-level nursing education, focusing on its benefits, challenges, and future prospects. <b>Methods:</b> A scoping review was conducted using the Population, Concept, and Context (PCC) framework, targeting nursing students and educators in academic settings. A comprehensive search was carried out across the PubMed, Scopus, and Web of Science databases. Only peer-reviewed original studies published in English were included. Two researchers independently screened the studies, resolving any disagreements through team discussion. Data were synthesized narratively. <b>Results:</b> Of the 569 articles initially identified, 11 original studies met the inclusion criteria. The findings indicate that AI-based tools-such as virtual simulators and ChatGPT-can enhance students' learning experiences, communication skills, and clinical preparedness. Nonetheless, several challenges were identified, including increased simulation-related anxiety, potential misuse, and ethical concerns related to data quality, privacy, and academic integrity. <b>Conclusions:</b> AI offers significant opportunities to enhance nursing education; however, its implementation must be approached with critical awareness and responsibility. It is essential that students develop both digital competencies and ethical sensitivity to fully leverage AI's potential while ensuring high-quality education and responsible nursing practice.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12389495/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the Bot: A Dual-Phase Framework for Evaluating AI Chatbot Simulations in Nursing Education.","authors":"Phillip Olla, Nadine Wodwaski, Taylor Long","doi":"10.3390/nursrep15080280","DOIUrl":"10.3390/nursrep15080280","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;Background/Objectives:&lt;/b&gt; The integration of AI chatbots in nursing education, particularly in simulation-based learning, is advancing rapidly. However, there is a lack of structured evaluation models, especially to assess AI-generated simulations. This article introduces the AI-Integrated Method for Simulation (AIMS) evaluation framework, a dual-phase evaluation framework adapted from the FAITA model, designed to evaluate both prompt design and chatbot performance in the context of nursing education. &lt;b&gt;Methods:&lt;/b&gt; This simulation-based study explored the application of an AI chatbot in an emergency planning course. The AIMS framework was developed and applied, consisting of six prompt-level domains (Phase 1) and eight performance criteria (Phase 2). These domains were selected based on current best practices in instructional design, simulation fidelity, and emerging AI evaluation literature. To assess the chatbots educational utility, the study employed a scoring rubric for each phase and incorporated a structured feedback loop to refine both prompt design and chatbox interaction. To demonstrate the framework's practical application, the researchers configured an AI tool referred to in this study as \"Eval-Bot v1\", built using OpenAI's GPT-4.0, to apply Phase 1 scoring criteria to a real simulation prompt. Insights from this analysis were then used to anticipate Phase 2 performance and identify areas for improvement. Participants (three individuals)-all experienced healthcare educators and advanced practice nurses with expertise in clinical decision-making and simulation-based teaching-reviewed the prompt and Eval-Bot's score to triangulate findings. &lt;b&gt;Results:&lt;/b&gt; Simulated evaluations revealed clear strengths in the prompt alignment with course objectives and its capacity to foster interactive learning. Participants noted that the AI chatbot supported engagement and maintained appropriate pacing, particularly in scenarios involving emergency planning decision-making. However, challenges emerged in areas related to personalization and inclusivity. While the chatbot responded consistently to general queries, it struggled to adapt tone, complexity and content to reflect diverse learner needs or cultural nuances. To support replication and refinement, a sample scoring rubric and simulation prompt template are provided. When evaluated using the Eval-Bot tool, moderate concerns were flagged regarding safety prompts and inclusive language, particularly in how the chatbot navigated sensitive decision points. These gaps were linked to predicted performance issues in Phase 2 domains such as dialog control, equity, and user reassurance. Based on these findings, revised prompt strategies were developed to improve contextual sensitivity, promote inclusivity, and strengthen ethical guidance within chatbot-led simulations. &lt;b&gt;Conclusions:&lt;/b&gt; The AIMS evaluation framework provides a practical and replicable approach for evaluating the use of AI c","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12389130/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurse-Led Binaural Beat Intervention for Anxiety Reduction in Pterygium Surgery: A Randomized Controlled Trial.","authors":"Punchiga Ratanalerdnawee, Mart Maiprasert, Jakkrit Klaphajone, Pongsiri Khunngam, Phawit Norchai","doi":"10.3390/nursrep15080282","DOIUrl":"10.3390/nursrep15080282","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Anxiety before ophthalmic surgery under local anesthesia may hinder patient cooperation and surgical outcomes. Nurse-led auditory interventions offer a promising non-pharmacological approach to perioperative anxiety management. This study evaluated the effectiveness of superimposed binaural beats (SBBs)-classical music layered with frequency differentials-in reducing anxiety during pterygium surgery with conjunctival autografting. <b>Methods</b>: In this randomized controlled trial, 111 adult patients scheduled for elective pterygium excision with conjunctival autografting under local anesthesia were allocated to one of three groups: SBBs, plain music (PM), or silence (control). A trained perioperative nurse administered all auditory interventions. The patients' anxiety was assessed using the State-Trait Anxiety Inventory-State (STAI-S), and physiological parameters (blood pressure, heart rate, respiratory rate, and oxygen saturation) were recorded before and after surgery. <b>Results</b>: The SBB group showed significantly greater reductions in their STAI-S scores (<i>p</i> < 0.001), systolic blood pressure (<i>p</i> = 0.011), heart rate (<i>p</i> = 0.003), and respiratory rate (<i>p</i> = 0.009) compared to the PM and control groups. No adverse events occurred. <b>Conclusions:</b> SBBs are a safe, nurse-delivered auditory intervention that significantly reduces perioperative anxiety and supports physiological stability. Their integration into routine nursing care for minor ophthalmic surgeries is both feasible and beneficial. Trial Registration: This study was registered with the Thai Clinical Trials Registry (TCTR) under registration number TCTR20250125002 on 25 January 2025.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12389307/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating Artificial Intelligence into Perinatal Care Pathways: A Scoping Review of Reviews of Applications, Outcomes, and Equity.","authors":"Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Zahraa Albahrani, Israa Alkhalil, Joel Somerville, Fuad Abuadas","doi":"10.3390/nursrep15080281","DOIUrl":"10.3390/nursrep15080281","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;Background:&lt;/b&gt; Artificial intelligence (AI) and machine learning (ML) have been reshaping maternal, fetal, neonatal, and reproductive healthcare by enhancing risk prediction, diagnostic accuracy, and operational efficiency across the perinatal continuum. However, no comprehensive synthesis has yet been published. &lt;b&gt;Objective:&lt;/b&gt; To conduct a scoping review of reviews of AI/ML applications spanning reproductive, prenatal, postpartum, neonatal, and early child-development care. &lt;b&gt;Methods:&lt;/b&gt; We searched PubMed, Embase, the Cochrane Library, Web of Science, and Scopus through April 2025. Two reviewers independently screened records, extracted data, and assessed methodological quality using AMSTAR 2 for systematic reviews, ROBIS for bias assessment, SANRA for narrative reviews, and JBI guidance for scoping reviews. &lt;b&gt;Results:&lt;/b&gt; Thirty-nine reviews met our inclusion criteria. In preconception and fertility treatment, convolutional neural network-based platforms can identify viable embryos and key sperm parameters with over 90 percent accuracy, and machine-learning models can personalize follicle-stimulating hormone regimens to boost mature oocyte yield while reducing overall medication use. Digital sexual-health chatbots have enhanced patient education, pre-exposure prophylaxis adherence, and safer sexual behaviors, although data-privacy safeguards and bias mitigation remain priorities. During pregnancy, advanced deep-learning models can segment fetal anatomy on ultrasound images with more than 90 percent overlap compared to expert annotations and can detect anomalies with sensitivity exceeding 93 percent. Predictive biometric tools can estimate gestational age within one week with accuracy and fetal weight within approximately 190 g. In the postpartum period, AI-driven decision-support systems and conversational agents can facilitate early screening for depression and can guide follow-up care. Wearable sensors enable remote monitoring of maternal blood pressure and heart rate to support timely clinical intervention. Within neonatal care, the Heart Rate Observation (HeRO) system has reduced mortality among very low-birth-weight infants by roughly 20 percent, and additional AI models can predict neonatal sepsis, retinopathy of prematurity, and necrotizing enterocolitis with area-under-the-curve values above 0.80. From an operational standpoint, automated ultrasound workflows deliver biometric measurements at about 14 milliseconds per frame, and dynamic scheduling in IVF laboratories lowers staff workload and per-cycle costs. Home-monitoring platforms for pregnant women are associated with 7-11 percent reductions in maternal mortality and preeclampsia incidence. Despite these advances, most evidence derives from retrospective, single-center studies with limited external validation. Low-resource settings, especially in Sub-Saharan Africa, remain under-represented, and few AI solutions are fully embedded in electronic health records. &lt;b&gt;C","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12388636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Do We Keep Our New Graduate Nurses in Australia?","authors":"Linda Ng, Rob Eley, Jennifer Dawson, Priya Govindaswamy, Karen Walker","doi":"10.3390/nursrep15080276","DOIUrl":"10.3390/nursrep15080276","url":null,"abstract":"<p><p>This paper aims to discuss the transition of new graduate nurses into the workforce, the preparation provided to equip them through the novice-beginner stage, and the theory-practice conundrum. <b>Background</b>: In Australia, new graduate transition programs have been in existence since the 1990s. While there is widespread acknowledgment that this period is pivotal for new graduate nurses entering the profession, there is a lack of consensus on the definition of best practice to achieve optimal preparation for new graduate nurses transitioning into the workforce. <b>Methods</b>: This discussion paper integrates the nursing literature on this topic with the extensive professional experiences of the authors, who are currently working as clinicians in metropolitan hospitals and hold academic positions at universities. Their insights are informed by the literature sourced from peer-reviewed English language journals, including reviews, empirical studies, and national and international reports. <b>Discussion:</b> Recruiting and retaining nurses presents a multifaceted challenge that requires the development of effective tools and strategies to build a sustainable workforce. Both the literature and the authors' experiences highlight several key factors influencing the preparedness of new graduates. These factors include workplace culture, the demands placed on new graduates, and the support, education, and training they receive. The perspectives shared in this article offer valuable discussion points that can deepen our understanding of the current issues and contribute to the development of more effective solutions.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12389157/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in Family Spirituality in Response to Family Intervention Utilizing the Family Life Review.","authors":"Naohiro Hohashi, Haruka Yano","doi":"10.3390/nursrep15080277","DOIUrl":"10.3390/nursrep15080277","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Family spirituality is an important concept in family nursing that reinforces the meaning of the family's existence. However, no studies on specific family intervention methods have been conducted to date. The purpose of this study was to verify the effect of family interventions using the family life review (FLR) program on changes to family spirituality. <b>Methods</b>: An FLR was conducted on six families having older adult members and undergoing family spiritual suffering, with two sessions spaced one week apart. The FLR was conducted using the Plot of Family Story (PFS), a tool for reviewing family history based on the concentric sphere family environment theory (CSFET). Semi-structured interviews and scoring using the Family Spirituality Index were conducted based on CSFET at three points in time: first before, and then after, the FLR, then again one month later, and changes in family spirituality were analyzed using mixed methods. <b>Results</b>: The families encountered family spiritual suffering in the family internal environment system, family system unit, and chrono system according to the CSFET. The FLR, when used with the PFS, was able to maintain, enhance, confer, and actualize family spirituality corresponding to the spiritual suffering being experienced by the target families. <b>Conclusions</b>: Family intervention through an FLR using the PFS can improve family spirituality in families undergoing family spiritual suffering. In this study, the PFS became a legacy for the family and raised awareness of the value of their existence.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12388971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability and Validation Study of the Spanish Translation of the Nociception Coma Scale-Revised-Adapted for Intubated Patients (NCS-R-I).","authors":"Candelas López-López, Gemma Robleda-Font, María Del Mar Sánchez-Sánchez, Carmen María Sarabia-Cobo, Ignacio Latorre-Marco, Montserrat Solís-Muñoz, Teresa Pérez-Pérez, Cristina Martín-Arriscado Arroba, Caroline Schnakers, Juan Roldan-Merino","doi":"10.3390/nursrep15080278","DOIUrl":"10.3390/nursrep15080278","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Pain assessment scales provide a clear clinical benefit in patients who are unable to self-report. The Nociception Coma Scale-Revised-adapted for Intubated patients (NCS-R-I) was developed to assess pain in patients with acquired brain injury who are unable to self-report. However, this instrument has not yet been translated and validated for use in Spain. The objective was to translate the Nociception Coma Scale-Revised-adapted for Intubated patients (NCS-R-I) into Spanish and to assess the reliability and validity of the Spanish version in patients with brain injury. <b>Methods</b>: This study was carried out in two phases. First, the scale was translated into Spanish. Next, a psychometric analysis was performed to determine the reliability and validity of the Spanish version of the NCS-R-I in 207 critically ill patients with acquired brain injury and disorders of consciousness. Two blinded observers administered the scale at three time points: 5 min before, during, and 15 min after a series of nociceptive and non-nociceptive procedures. <b>Results</b>: The internal consistency of the NCS-R-I was acceptable (ordinal alpha = 0.60-0.90). Interobserver agreement was good (kappa = 0.80; intraclass correlation coefficient = 0.90). In terms of discriminant validity, the AUC was 0.952 (95% CI: 0.931-0.973). NCS-R-I scores increased significantly during performance of nociceptive procedures compared to scores obtained before and after these procedures, confirming the scale's sensitivity to change. Similarly, during the performance of nociceptive procedures, scores on the NCS-R-I were significantly higher (<i>p</i> < 0.001) than those observed during non-nociceptive procedures. <b>Conclusions</b>: The results of this study demonstrate that the NCS-R-I is a valid, reliable tool for the assessment of pain in patients with acquired brain injury who are unable to self-report.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12389189/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotional Intelligence in the Professional Development of Nurses: From Training to the Improvement of Healthcare Quality.","authors":"Efthymia Chatzidimitriou, Sotiria Triantari, Ioannis Zervas","doi":"10.3390/nursrep15080275","DOIUrl":"10.3390/nursrep15080275","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Emotional intelligence has emerged as a key factor in shaping nursing performance and care quality, yet its specific mechanisms and impact within the Greek public healthcare context remain underexplored. This study aimed to investigate the role of emotional intelligence in ethical behavior, crisis management, and the perceived quality of care among nurses working in Greek public hospitals. <b>Methods</b>: A cross-sectional survey was conducted among practicing nurses using validated instruments to assess emotional intelligence, ethical compliance, crisis management skills, and care quality. Data were analyzed using covariance-based structural equation modeling (CB SEM) to examine both direct and indirect relationships among variables. <b>Results</b>: The results indicated that emotional intelligence training had a strong and significant effect on nurses' ethical behavior and their ability to manage critical situations. However, the direct effect of emotional intelligence on the perceived quality of care was not significant; instead, its influence was mediated through improvements in ethics and crisis management. <b>Conclusions</b>: These findings suggest that the benefits of emotional intelligence in nursing are most evident when integrated with supportive organizational practices and ongoing professional development. Overall, this study highlights the need for comprehensive emotional intelligence training and a supportive workplace culture to enhance ethical standards, resilience, and patient care quality in Greek healthcare settings.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12389285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation Strategy for a Mandatory Interprofessional Training Program Using an Instructional Design Model.","authors":"Susan Gledhill, Mary Jane McAuliffe","doi":"10.3390/nursrep15080274","DOIUrl":"10.3390/nursrep15080274","url":null,"abstract":"<p><p>This concept paper outlines an implementation strategy for a mandatory training programme using the ADDIE instructional design model for delivery to nurses and other health professionals in an interprofessional education (IPE) environment). <b>Background</b>: Competence in Basic Life Support (BLS) is a lifesaving requirement for health professionals in clinical settings to ensure patient safety and accreditation outcomes. It is essential that health professionals are supported in attending mandatory training, including BLS. To inform learning and teaching strategies, it is useful to apply theoretical perspectives to the development of mandatory staff training methods. However, various training models exist, and few are grounded in instructional design theory to the unique environment for BLS in IPE. <b>Method</b>: A theory-based implementation strategy is outlined for a mandatory interprofessional training programme including BLS, using the ADDIE model to enhance patient outcomes. ADDIE is an instructional design framework comprising five elements: Assess, Design, Develop, Implement and Evaluate; describing a learning methodology that can be readily applied to mandatory training in IPE. <b>Results</b>: Through its iterative capability, the ADDIE model promotes learner needs and rapid acquisition of clinical skills that improve training accessibility. The strategy can equip educators with teaching skills based on a robust theoretical model, with potential to promote nursing and health professional attendance for mandatory training. <b>Conclusions</b>: Mandatory health professional training that addresses a theory informed strategy framed by the ADDIE model can support interprofessional collaboration and consistent competency across healthcare teams. This strategy has potential to contribute by demonstrating how instructional design can be operationalised to improve the effectiveness and engaging approach to BLS training and education to the unique dynamics of an interprofessional environment.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"15 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12388717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}