Cin-Computers Informatics Nursing最新文献

{"title":"The State of Nursing Informatics Specialty in 2024: Practice, Research, and Education.","authors":"Olga Kagan, Kathryn Owen, Whende Carroll","doi":"10.1097/CIN.0000000000001225","DOIUrl":"10.1097/CIN.0000000000001225","url":null,"abstract":"","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142774528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Needs Assessment of Virtual Nursing Implementation Using the Donabedian Framework.","authors":"Saif Khairat, Jennifer Morelli, Barbara S Edson, Julia Aucoin, Cheryl B Jones","doi":"10.1097/CIN.0000000000001229","DOIUrl":"10.1097/CIN.0000000000001229","url":null,"abstract":"<p><p>Nursing shortages are a significant problem that affects healthcare access, outcomes, and costs and challenges the delivery of care in hospitals. The virtual nursing delivery model enables the provision of expert nursing care from a remote location, using technology such as audio/video communication, remote monitoring devices, and access to the electronic health record. However, little is known about the structure and processes supporting the implementation of virtual nursing in healthcare systems. This study examined the requirements for implementing a virtual nursing care team by characterizing the structure and processes of virtual nursing, using the Donabedian framework. The study conducted an observational and qualitative evaluation of a virtual nursing care team at a major Southeastern health center in the United States. The study found that key aspects for implementing a virtual nursing program include the number of available virtual nurses per shift, the availability of appropriate virtual nursing equipment, the physical layout of the virtual nursing center, the training of virtual nursing nurses on best practices of virtual encounters, simultaneous use of electronic health record, creation, and training of nurses on policies and procedures such as escalation of technical issues, and available support resources for problem resolution. The study provides valuable insights into the structure and processes of virtual nursing care that can be used to improve healthcare delivery and address nursing shortages.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of Diabetic Remote Patient Monitor for Underserved Population.","authors":"Tonya Judson, Bela Patel, Alison Hernandez, Michele Talley","doi":"10.1097/CIN.0000000000001236","DOIUrl":"10.1097/CIN.0000000000001236","url":null,"abstract":"<p><p>A nurse-led interprofessional clinic adopted the use of remote patient monitoring (RPM) for glucose monitoring to better serve their patient population of uninsured patients with uncontrolled diabetes. The adoption of the RPM system required an infrastructure design to connect multiple data points and adapt to the needs of the clinic's unique patient population for a seamless provider and patient experience. Implementation requirements were addressed in three phases: protocol adaptation, enrollment workflow, and clinic management of RPM patients.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142803035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Trauma: A Concept Analysis.","authors":"Erica Smith, Darryl Somayaji","doi":"10.1097/CIN.0000000000001218","DOIUrl":"10.1097/CIN.0000000000001218","url":null,"abstract":"<p><p>Today's healthcare landscape is becoming increasingly data-centric, with artificial intelligence and advanced computer algorithms becoming inextricably embedded in patient care. Although these technologies promise to make care more efficient and effective, they heighten the risk for unintended consequences. Using Walker and Avant's framework for concept analysis, we propose and explicate the emerging concept of iatrogenic data trauma, or ways in which the collection, storage, and use of sensitive and potentially stigmatizing patient data can cause harm. We conducted a careful and exhaustive review of traditional academic publications, as well as nontraditional digital sources to generate a rich and intersectional corpus of information pertaining to data justice, digital rights, and potential risks associated with the \"datafication\" of individuals. Using evidence synthesis and practical examples, we discuss how flawed data processes in healthcare settings can lead to data trauma among patients and explore how its presence can perpetuate health disparities, marginalization, loss of privacy, and breach of trust in patient-provider relationships. We discuss how this phenomenon arises and manifests across the healthcare continuum and is an important issue for professionals in multiple disciplines. We conclude by suggesting future opportunities for research through a trauma-informed lens.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142814959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experiences and Challenges for Critical Care Nurses in Work Related to Medical Device Alarms: A Qualitative Study.","authors":"Mingzhen Li, Shaohua He, Meihua Peng, Huan Liu, Cheng Chen, Xiaofang Liu, Liming Tan","doi":"10.1097/CIN.0000000000001214","DOIUrl":"10.1097/CIN.0000000000001214","url":null,"abstract":"<p><p>Critical care nurses, who are at the frontline of recognizing and answering alarms, face various challenges while undertaking this task. The purpose of this qualitative study is to gain more insight into the experiences of critical care nurses working with medical equipment alarms. A qualitative, descriptive design was used to explore this area. Fifteen critical care nurses, recruited using purposive sampling, participated in semistructured interviews. These were recorded and coded, and data were analyzed using content analysis. Four themes and fifteen related subthemes emerged, including: (1) emotional experience (sub: anxiety/dysphoria, helplessness, worry, ambivalence); (2) physical symptoms (sub: hearing disorder, sleep disturbances, exhaustion, inattention); (3) new challenges (sub: multiple nursing roles, inconsistent practice guidelines, unsatisfactory human-machine interaction, nurse attribute); and (4) coping strategies (sub: positive alarm culture, effective teamwork, development of technology). Healthcare administrators should focus not only on the nurses themselves, but also on objective factors such as organization and technology, which contribute to the empowerment of ICU nurses and can encourage them to participate in clinical alarm management.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effect of the Flipped Classroom in a Nursing Informatics Course on Nursing Students' Knowledge and Readiness Levels, System Usability.","authors":"Yasemin Demir Avcı, Deniz Özel, Zeynep Özer","doi":"10.1097/CIN.0000000000001226","DOIUrl":"10.1097/CIN.0000000000001226","url":null,"abstract":"<p><p>The flipped classroom method to be used in the nursing informatics course can increase nursing students' engagement and learning outcomes. This study aimed to evaluate the effect of flipped classroom education on nursing students' readiness for the flipped classroom model of education, as well as the usability of the flipped classroom and how this model impacts the level of students' knowledge in a nurse informatics course. The nursing students received 6 weeks of classic education and 6 weeks of flipped classroom education in the nursing informatics course. A personal information form, the System Usability Scale, and the Flipped Learning Readiness Scale were used. The study was conducted with 84 students; the students were at an average age of 21.26 years with an average background of 7 years of using technology. An increase in the students' technology self-efficacy and readiness was observed after the implementation of the flipped classrooms. Students who received flipped classroom education rated system usability and technology self-efficacy more positively. The students' engagement in the course had a positive effect on their readiness scores. It was discovered that the factors influencing student achievement include motivation, engagement in the course, and home Internet connection. Flipped classrooms can be used to increase students' ability to use technology both in courses and in hospital clinics.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effect of Game-Based Technology on Undergraduate Nursing Students' Knowledge and Motivation: Mixed-Methods Study.","authors":"Aylin Durmaz Edeer, Fatma Vural, Nazife Gamze Özer Özlü","doi":"10.1097/CIN.0000000000001251","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001251","url":null,"abstract":"<p><p>The study aimed to determine the effects of game-based technology use in a first-aid lesson on knowledge and motivation. The study had a two-stage explanatory mixed-methods design. Quantitative data were collected as a randomized controlled trial. Qualitative data were collected through purposive sampling. A total of 202 nursing students were included and evaluated with a knowledge test and a teaching materials motivation questionnaire. A puzzle was applied to the intervention group before the first-aid lesson, and a Kahoot! was applied after the lesson. Four structured questions were asked to understand the students' thoughts about the game-based technology used. The students' pretest knowledge scores were similar. The mean posttest knowledge scores of the intervention group were significantly higher. However, the mean scores of the teaching materials motivation questionnaire were not high. The qualitative data analysis categorized students' opinions about the teaching materials as effective learning, enjoyable learning, and motivating learning. In conclusion, game-based technology methods in nursing practical lessons can enable students to apply the knowledge they learn in practice.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-sectional Analysis of Zoom Fatigue on Clinical Decision-making in Nursing Students.","authors":"Vanesa Gutiérrez-Puertas, Lorena Gutiérrez-Puertas, Gabriel Aguilera-García, Gabriel Aguilera-Manrique, Trinidad Maria Galera-Barbero, Verónica V Márquez-Hernández","doi":"10.1097/CIN.0000000000001278","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001278","url":null,"abstract":"<p><p>Zoom fatigue may affect nursing students, as there has been an increase in the use of videoconferencing for academic as well as clinical applications. Fatigue can negatively interfere with clinical decision-making and lead to clinical errors. This study aimed to explore the association between Zoom fatigue and perceived clinical decision-making ability of nursing students. This cross-sectional study assessed self-reported sociodemographic characteristics, Zoom fatigue, and clinical decision-making. Nursing students reported a medium level of Zoom fatigue (2.50 ± 0.78) and moderate effects on clinical decision-making (150.924 ± 12.561). Statistically significant differences were found between Zoom fatigue, the number of videoconferences held in the last month (rs = 0.065, P = .030), prolonged use of electronic devices (χ23 = 12.817, P = .005), and sex of the participants (U = 4043.500, P = .046). In addition, a negative relationship was observed between Zoom fatigue and clinical decision-making (rs = -0.519, P < .001). Nursing students have shown a moderate level of Zoom fatigue. The number of videoconferences attended as well as the prolonged use of electronic devices could increase students' level of Zoom fatigue. Students' perception of their clinical decision-making is moderate. As the Zoom fatigue levels of nursing students increased, their perception of clinical decision-making ability decreased. In the academic and clinical settings, there is a need to develop strategies to prevent Zoom fatigue in nursing students and improve the quality of care provided to patients.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between Anxiety and Readiness Levels Regarding Artificial Intelligence in Midwives: An Intergenerational Comparative Study.","authors":"Ayşe Nur Yilmaz, Sümeyye Altiparmak, Remziye Sökmen","doi":"10.1097/CIN.0000000000001269","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001269","url":null,"abstract":"<p><p>This study aimed to compare Generations X, Y, and Z in terms of anxiety and readiness levels regarding artificial intelligence and investigate the relationship between anxiety and readiness levels regarding artificial intelligence in midwives across generations. This study is cross-sectional and comparative with a study sample of 218 midwives working in a province in the east of Turkey. Data were collected with the \"Personal Information Form,\" \"Artificial Intelligence Anxiety Scale,\" and \"Medical Artificial Intelligence Readiness Scale.\" The evaluation of the data was carried out using the IBM SPSS Statistics version 22.0 (IBM Inc., Armonk, NY, USA) package program. Descriptive statistics, a one-way analysis of variance test, Pearson correlation, and regression analysis were used to analyze the data. The total mean score of midwives from the Artificial Intelligence Anxiety Scale was 47.07 ± 12.10 in Generation X, 43.91 ± 12.63 in Generation Y, and 36.16 ± 12.61 in Generation Z (P < .05), and the difference between the groups was significant. Generation X had a higher level of artificial intelligence anxiety than Generation Y, and Generation Y had higher levels of artificial intelligence than Generation Z. The total mean score of midwives from the Medical Artificial Intelligence Readiness Scale was 67.43 ± 14.28 in Generation X, 66.78 ± 17.83 in Generation Y, and 74.73 ± 16.15 in Generation Z (P < .05), and the difference between the groups was significant. Generation Z is more ready for medical artificial intelligence than Generation X, and Generation X is more ready for medical artificial intelligence than Generation Y. In addition, in the regression analysis, there was a weakly negative and significant relationship between the mean scores of Artificial Intelligence Anxiety Scale and Medical Artificial Intelligence Readiness Scale in Generation Z midwives, and as artificial intelligence anxiety levels increased, medical artificial intelligence readiness levels decreased. The artificial intelligence anxiety levels of midwives differed by generation, being highest in Generation X and lowest in Generation Z, and the level of medical artificial intelligence readiness was highest in Generation Z and lowest in Generation Y. As artificial intelligence anxiety increased in Generation Z midwives, the level of medical artificial intelligence readiness decreased.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Pilot Testing of a Mobile App-Based Chatbot for the Self-management of Physical Activity for Older Adults.","authors":"Sooyeon Park, Su Jung Lee","doi":"10.1097/CIN.0000000000001257","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001257","url":null,"abstract":"<p><p>Chatbots can change health behaviors by generating conversations about health. A well-designed health-related chatbot can encourage people to be physically active by creating a therapeutic relationship. This study aimed to develop and evaluate the feasibility and usability of a chatbot-based physical activity self-management application to promote physical activity among community-dwelling older adults. The physical activity self-management application was designed based on the five stages of the ADDIE model (analysis, design, development, implementation, and evaluation). The mobile application (app) includes a chatbot and physical activity videos as key components to provide support and guidance for physical activity enhancement and self-management. Quantitative pilot testing demonstrated that participants were highly satisfied with the app's usability, convenience, and overall satisfaction across all measures. Qualitative data analysis revealed that participants found it easy to watch and follow the videos as needed throughout the day and reported that the guidance and support from the chatbot helped motivate them to be more physically active. The findings suggest that it may be beneficial to expand the use of the chatbot-based physical activity self-management application to promote physical activity among older adults with chronic diseases and offer promising evidence for the feasibility of increasing mHealth accessibility for lifestyle modification interventions.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}