{"title":"Design and Development of a Pressure Ulcer Management Mobile Application for Nursing Students.","authors":"Hamid Tafazoli, Fatemeh Keshmiri, Khadijeh Nasiriani","doi":"10.1097/CIN.0000000000001366","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001366","url":null,"abstract":"<p><p>Preventing and managing bedsores are critically important, and nurses play a vital role. Nursing students need to acquire adequate preparedness during their academic years. Mobile phones offer a suitable platform for education. This study aimed to design and develop a nursing education application for pressure ulcer management and to assess the perspectives of nursing students regarding their satisfaction and cognitive load. This is a developmental study. A Persian educational application for pressure ulcer management (ELTIAM [HEALING]) was designed and developed. Subsequently, students' perspectives on the application were evaluated using usability, satisfaction, and cognitive load questionnaires. Data were analyzed using IBM SPSS Statistics for Windows, version 22.0 (IBM Inc., Armonk, NY, USA). The ELTIAM (HEALING) application consisted of 14 panels. From the students' perspective, the application's usability was 87.51%, and the average satisfaction score with the application was 7.97. Additionally, the average score for intrinsic cognitive load was 8.15, extrinsic cognitive load was 9.95, and germane cognitive load was 32.96. The increasing expansion of information technology, particularly in mobile capabilities, has coincided with a growing enthusiasm for education through mobile applications. These applications can serve as a new and effective method in various fields. The ELTIAM (HEALING) application, designed and developed in Persian for education of pressure ulcer management, was favorable in terms of usability, satisfaction, and cognitive load. Therefore, its use is recommended for students and healthcare professionals involved in pressure ulcer management.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700921","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":"Recognizing Nurse Care Activity: An Artificial Intelligence Approach With Bidirectional Interactive Cross-Attention.","authors":"Lingyu Li, Haijing Han, Jupo Ma","doi":"10.1097/CIN.0000000000001356","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001356","url":null,"abstract":"<p><p>Nursing care activities are essential to healthcare delivery, directly impacting patient safety, recovery, and overall well-being. Accurate recognition and documentation of these activities are critical for assessing nurse performance, managing resources efficiently, and maintaining consistent care quality. However, nursing activities are inherently complex, influenced not only by the nurse's actions but also by patient behavior. Traditional documentation methods, which rely heavily on manual input, are labor-intensive and prone to errors, often leading to gaps in performance evaluation and care optimization. This paper addresses the necessity for advanced, automated systems to accurately recognize nursing care activities. We propose a novel artificial intelligence model featuring bidirectional interactive cross-attention based on Transformer, which leverages the complementary nature of multimodal data through mutual information exchange to enhance recognition accuracy and contextual understanding. We evaluate the performance of bidirectional interactive cross-attention, and experiments demonstrate that it performs excellently. Our method highlights the potential to significantly enhance nursing activity recognition, which is expected to improve nursing activity recognition and support better workload assessment, scheduling, and care quality.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700923","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}
Xindong Ye, Xiaofen Shan, Yunfang Tu, Yuanyuan Zhang
{"title":"Examining the Efficacy of Large Language Models for Mitigating Depression and Anxiety Among Chinese Students: A Randomized Controlled Trial.","authors":"Xindong Ye, Xiaofen Shan, Yunfang Tu, Yuanyuan Zhang","doi":"10.1097/CIN.0000000000001349","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001349","url":null,"abstract":"<p><p>Secondary school students undergo significant psychological and physiological changes during adolescence, increasing their vulnerability to mental health issues. However, existing mental health services are inadequate to address the growing demand. To bridge this gap, we developed WarmGPT, a conversational mental health service robot utilizing a large language model integrated with cognitive- behavioral therapy, aimed at supporting secondary school students. In this study, 40 students from a Chinese secondary school were randomly assigned to an experimental group or a control group. The experimental group received 2 weeks of counseling through WarmGPT, whereas the control group viewed mental health education videos. Emotional states were evaluated before and after the intervention using scales measuring depression, anxiety, and positive and negative affect. Results indicated that the large language model-based WarmGPT significantly reduced depression, anxiety, and negative emotions and increased positive emotions among the students, outperforming the control group. These findings suggest that large language model-based conversational agents such as WarmGPT are effective in alleviating negative emotions and enhancing overall mental health in secondary school students, offering a promising new approach for mental health interventions.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700922","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":"The Relationship Between Nursing Students' Cyberloafing Behaviors and Their Academic Achievement.","authors":"Figen Çalişkan, Minel Sezer","doi":"10.1097/CIN.0000000000001361","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001361","url":null,"abstract":"<p><p>With the widespread integration of the Internet into daily life and its increasing use in education, it has been observed that students sometimes use the Internet for purposes other than its intended academic functions. The aim of this study was to determine the relationship between cyberloafing behaviors of nursing students and their academic achievement. This study is a descriptive prospective study. The study was conducted with 286 nursing students. Data were obtained between March 4 and June 7, 2024, using the Information Form and Cyberloafing Scale. The mean total score of the Cyberloafing Scale for nursing students was 2.28 ± 0.82. It was determined that there was a weak negative correlation between nursing students' academic grade point averages and Cyberloafing Scale \"sharing,\" \"gaming/gambling\" subdimension, and scale total score average. It is important for nurse educators to make courses more engaging for students by using diverse educational materials and teaching methods and to ensure active student participation.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144684025","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 in Pediatric Nursing Care: A Bibliometric and Visualization Analysis of the Literature (2000-2024).","authors":"Sunyeob Choi, Sungwon Lim","doi":"10.1097/CIN.0000000000001360","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001360","url":null,"abstract":"<p><p>This bibliometric analysis investigates the evolving landscape of artificial intelligence in pediatric nursing care, leveraging bibliometric techniques and visualization to analyze 317 publications indexed in Web of Science (2000-2024). We conducted citation and co-occurrence analyses of keywords, utilizing VOSviewer to map the scientific knowledge base. Results indicate an exponential growth trajectory in publications and citation impact, particularly post-2019, with the United States as the leading contributor. Thematic analysis reveals a distinct focus on symptom management, emotional support, and family-centered care within pediatric artificial intelligence nursing research, diverging from the predominantly disease-centric focus in general medical artificial intelligence literature. Five key thematic clusters emerged: (1) clinical and disease-focused pediatric nursing, (2) technology and innovation in nursing education and practice, (3) pain and psychological well-being in pediatric surgical patients, (4) adolescent mental health and COVID-19's impact, and (5) family-centered care and holistic pediatric nursing. This study underscores the transformative potential of artificial intelligence to augment pediatric nursing practice, enabling personalized and holistic care. These findings provide crucial insights for nursing informatics specialists, researchers, and clinicians to guide future research, address ethical implications, and develop evidence-based implementation strategies for integrating artificial intelligence into pediatric care.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144684024","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":"Use of Simulation in Nonclinical Graduate Nursing Programs: An Integrative Review.","authors":"Disha Patel, Penni Isla Watts, Rebecca Billings","doi":"10.1097/CIN.0000000000001357","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001357","url":null,"abstract":"<p><strong>Introduction: </strong>Healthcare simulation is an innovative and impactful teaching method that enhances students' knowledge, skills, and attitudes in prelicensure and advanced practice nursing programs. Although there is evidence in the literature that simulation experiences can improve clinical skills and decision-making, simulation education is not widely used in nonclinical graduate nursing programs, such as those offering an MSN with concentrations in informatics, education, leadership, and management, as well as in doctoral nursing programs. Thus, the impact of simulation experiences is also unknown in nonclinical areas. This review was conducted to identify the use of healthcare simulations in nonclinical graduate nursing programs.</p><p><strong>Methods: </strong>The authors used Whittemore and Knafl's five-step integrative review framework to guide this review.</p><p><strong>Results: </strong>The review identified three key themes from the 11 included studies: (1) simulation-based education activities frequently focused on communication and teamwork skills, (2) learners' engagement with virtual simulation modalities, and (3) impact of faculty-led debriefing.</p><p><strong>Discussion: </strong>The reviewed articles indicated minimal research had been conducted on using identified simulation-based education in nonclinical contexts. This review's findings suggest that simulation can be used as a learning method in nonclinically focused graduate nursing programs.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144684026","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":"Exploring the Knowledge Structure of Research for Nurse Preceptor Training Programs Using Text Network Analysis and Topic Modeling.","authors":"Sun Hee Seon, Hye Won Jeong, Ja Yun Choi","doi":"10.1097/CIN.0000000000001347","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001347","url":null,"abstract":"<p><strong>Purpose: </strong>This study utilized text network analysis and topic modeling to examine the research landscape of nurse preceptor training programs and facilitate the adaptation of new nurses in Korea and internationally.</p><p><strong>Methods: </strong>Abstracts from three Korean and 45 international studies on preceptor nurse training programs were collected. Keywords and meaningful morphemes from the abstracts and main text were analyzed and refined. A co-occurrence matrix of keywords was generated to analyze degree, closeness, and betweenness centrality using NetMiner 4.5.0 software. Topic modeling was used to identify key thematic structures.</p><p><strong>Results: </strong>Among the top 10 ranked keywords, five common terms-\"clinical competence,\" \"educator,\" \"nursing practice,\" \"teaching strategy,\" and \"mentoring\"-emerged across both frequency and centrality measures. Topic modeling identified four major subtopics: nurse preceptor programs for strengthening partnership skills and professional insights, communication programs to enhance the self-care competence of nurse preceptors, simulation programs to strengthen the expertise of nurse preceptors, and nurse preceptor programs to foster emotional empathy and growth.</p><p><strong>Conclusion: </strong>This study improves patient safety and professional competence by promoting optimal clinical decision-making for new nurse preceptees. Future research should develop educational programs that foster mutual empathy and professional growth between nurse preceptors and new nurse preceptees.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602768","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":"The Effects of the Course on Technology Use in Nursing on Students' Self-directed Learning Readiness and Attitudes Toward Technology.","authors":"Fatma Dursun Ergezen, Şule Şenol, Ayşe Yacan Kök","doi":"10.1097/CIN.0000000000001358","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001358","url":null,"abstract":"<p><p>This study aimed to examine the effect of the course on technology use in nursing on students' readiness for self-directed learning and attitudes toward technology. This was a quasi-experimental study. The study involved 109 first-year nursing students assigned to the intervention group (n = 53) and the control group (n = 56). Whereas the intervention group participated in the course on technology use in nursing, the control group participated in health assessment course. Data were collected with the Student Information Form, the Readiness of Self-directed Learning Scale, and Technology Attitudes Survey between March and May 2024. There was a statistically significant difference between the self-directed learning readiness and attitudes toward technology scores of the intervention and control groups (P < .05). It was found that both the self-directed learning readiness and positive attitudes toward technology scores of the students in the intervention group were significantly higher than the control group (P < .05). The study's results indicated that course on technology use in nursing improved students' self-directed learning readiness and positive attitudes toward technology. The integration of technology-based interventions into nursing curriculum is recommended.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602773","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}
Matthew S Farmer, Kimberly R Powell, Anne Sales, Lori L Popejoy, Blaine Reeder
{"title":"The Relationship Between Broadband Internet Adoption and Self-reported Diabetes Prevalence in US Counties.","authors":"Matthew S Farmer, Kimberly R Powell, Anne Sales, Lori L Popejoy, Blaine Reeder","doi":"10.1097/CIN.0000000000001355","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001355","url":null,"abstract":"<p><p>The Internet provides many populations access to virtual health services, social resources, and health education. It is not understood how lack of household Internet adoption impacts the risk of negative health outcomes. Our study aimed to examine the relationship between Internet adoption and self-reported diabetes prevalence in US counties, while controlling for social determinants of health. This cross-sectional, retrospective study used US national county-level data obtained from the 2021 American Communities Survey and the 2021 Behavioral Risk Factors Surveillance System. Analysis included descriptive statistics, two-stage linear regression, and machine learning. A total of 3076 counties were analyzed. The results show that, in 2021, Internet adoption had a significant inverse relationship (β = -.20, P < .001) with diabetes prevalence in US counties while controlling for other social determinants of health. The results suggest that as household Internet adoption rates increase, diabetes prevalence decreases, at the county level. The relationships between social characteristics, Internet adoption, and health behaviors on diabetes prevalence in US counties warrant future research including individual-level validation and integration of health behaviors related to diabetes risk. These findings provide evidence of Internet adoption as a social determinant of health.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602774","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":"The Effect of Nurses' Cyberloafing Levels on Their Perceptions of Individualized Care.","authors":"Özlem Albayrak, Seda Dere İşseven, Kübra Berber","doi":"10.1097/CIN.0000000000001350","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001350","url":null,"abstract":"<p><p>While cyberloafing behaviors can have positive effects, such as introducing variety into daily routines and alleviating workplace stress, excessive engagement in these activities can become problematic, leading to time wastage and decreased efficiency. In nursing practice, individualized care is essential for ensuring both the quality of patient care and patient safety. This study aims to identify the cyberloafing behaviors of nurses and examine their relationship with individualized care behaviors. The research is a cross-sectional and descriptive study. The Descriptive Information Form, the Cyber-Loafing Scale, and the Individualized Care Scale-Nurse Version were used for data collection. Nurses showed a moderate level of cyberloafing behavior with a mean total score of 80.99 ± 22.44. Nurses also showed a moderate perception of care behavior, with an average total score of 3.20 ± 0.81 on the Individualized Care Scale. A positive, low-level, significant relationship was found between the total score of the Cyber-Loafing Scale and the Individualized Care Scale-A (r = 0.199, P = .01). The study revealed that nurses' perception of individualized care improved as their level of cyberloafing increased. This may be because cyberloafing behaviors serve as a constructive way for nurses to escape from routine practices in the hospital environment and reduce anxiety.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602771","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}