Cin-Computers Informatics Nursing最新文献

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Effects of Immersive Straight Catheterization Virtual Reality Simulation on Skills, Confidence, and Flow State in Nursing Students. 沉浸式直管导管术虚拟现实模拟对护理专业学生技能、信心和流动状态的影响。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001141
Hyeongyeong Yoon
{"title":"Effects of Immersive Straight Catheterization Virtual Reality Simulation on Skills, Confidence, and Flow State in Nursing Students.","authors":"Hyeongyeong Yoon","doi":"10.1097/CIN.0000000000001141","DOIUrl":"10.1097/CIN.0000000000001141","url":null,"abstract":"<p><p>Core nursing procedures are essential for nursing students to master because of their high frequency in nursing practice. However, the experience of performing procedures in actual hospital settings decreased during the coronavirus disease 2019 pandemic, necessitating the development of various contents to supplement procedural training. This study investigated the effects of a straight catheterization program utilizing an immersive virtual reality simulation on nursing students' procedural performance, self-confidence, and immersion. The study employed a nonequivalent control group pretest-posttest design with 29 participants in the experimental group and 25 in the control group. The experimental group received training through a computer-based immersive virtual reality program installed in a virtual reality hospital, with three weekly sessions over 3 weeks. The control group underwent straight catheterization using manikin models. The research findings validated that virtual reality-based straight catheterization education significantly improved students' procedural skills, self-confidence, and flow state. Therefore, limited practical training can be effectively supplemented by immersive virtual reality programs.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"872-878"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141238801","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}
引用次数: 0
Nursing Variables Predicting Readmissions in Patients with a High Risk: A Scoping Review.
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001241
{"title":"Nursing Variables Predicting Readmissions in Patients with a High Risk: A Scoping Review.","authors":"","doi":"10.1097/CIN.0000000000001241","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001241","url":null,"abstract":"","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":"42 12","pages":"922"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142803041","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}
引用次数: 0
Nursing Variables Predicting Readmissions in Patients With a High Risk: A Scoping Review. 预测高危患者再入院的护理变量:范围界定综述。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001172
Ji Yea Lee, Jisu Park, Hannah Choi, Eui Geum Oh
{"title":"Nursing Variables Predicting Readmissions in Patients With a High Risk: A Scoping Review.","authors":"Ji Yea Lee, Jisu Park, Hannah Choi, Eui Geum Oh","doi":"10.1097/CIN.0000000000001172","DOIUrl":"10.1097/CIN.0000000000001172","url":null,"abstract":"<p><p>Unplanned readmission endangers patient safety and increases unnecessary healthcare expenditure. Identifying nursing variables that predict patient readmissions can aid nurses in providing timely nursing interventions that help patients avoid readmission after discharge. We aimed to provide an overview of the nursing variables predicting readmission of patients with a high risk. The authors searched five databases-PubMed, CINAHL, EMBASE, Cochrane Library, and Scopus-for publications from inception to April 2023. Search terms included \"readmission\" and \"nursing records.\" Eight studies were included for review. Nursing variables were classified into three categories-specifically, nursing assessment, nursing diagnosis, and nursing intervention. The nursing assessment category comprised 75% of the nursing variables; the proportions of the nursing diagnosis (25%) and nursing intervention categories (12.5%) were relatively low. Although most variables of the nursing assessment category focused on the patients' physical aspect, emotional and social aspects were also considered. This study demonstrated how nursing care contributes to patients' adverse outcomes. The findings can assist nurses in identifying the essential nursing assessment, diagnosis, and interventions, which should be provided from the time of patients' admission. This can mitigate preventable readmissions of patients with a high risk and facilitate their safe transition from an acute care setting to the community.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"852-861"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141876633","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}
引用次数: 0
Effect of Home-Based Cardiac Telerehabilitation in Patients After Percutaneous Coronary Intervention: A Randomized Controlled Trial. 经皮冠状动脉介入术后患者的家庭心脏远程康复效果:随机对照试验。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001167
Yan Zheng, Jing Guo, Yun Tian, Shuwen Qin, Xiaoling Liu
{"title":"Effect of Home-Based Cardiac Telerehabilitation in Patients After Percutaneous Coronary Intervention: A Randomized Controlled Trial.","authors":"Yan Zheng, Jing Guo, Yun Tian, Shuwen Qin, Xiaoling Liu","doi":"10.1097/CIN.0000000000001167","DOIUrl":"10.1097/CIN.0000000000001167","url":null,"abstract":"<p><p>Low adherence to hospital-based cardiac rehabilitation has been observed in patients after percutaneous coronary intervention. The effectiveness of home-based cardiac telerehabilitation in this setting is unclear. This study aimed to investigate the impact of home-based cardiac telerehabilitation on exercise endurance, disease burden status, cardiac function, and quality of life in patients after percutaneous coronary intervention. A total of 106 patients after percutaneous coronary intervention were randomly assigned to either the intervention group (receiving routine rehabilitation care and home-based cardiac telerehabilitation) or the control group (receiving routine care only), with 53 patients in each group. The 6-minute walking test, anerobic threshold, physical component summary score, mental component summary score, V o2max , and left ventricular ejection fraction were measured in both groups before and 3 months after the intervention. Additionally, the Short-Form 12 scale and Family Burden Interview Schedule were used to assess quality of life and disease burden status. The intervention group demonstrated significant improvements in 6-minute walking test, anerobic threshold, V o2max , physical component summary score, mental component summary score, Short-Form 12 scale, and Family Burden Interview Schedule scale scores compared with the control group ( P <0.05). Results suggest that home-based cardiac telerehabilitation may improve exercise endurance and quality of life and reduce disease burden status in patients after percutaneous coronary intervention.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"898-904"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141861498","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}
引用次数: 0
Development of a Web-Based Decision Support Nurse Care Management System: Decision Support-N-Care. 开发基于网络的决策支持护士护理管理系统:决策支持-护理。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001176
Meltem Özduyan Kılıç, Fatoş Korkmaz, Cüneyt Sevgi, Oumout Chouseinoglou
{"title":"Development of a Web-Based Decision Support Nurse Care Management System: Decision Support-N-Care.","authors":"Meltem Özduyan Kılıç, Fatoş Korkmaz, Cüneyt Sevgi, Oumout Chouseinoglou","doi":"10.1097/CIN.0000000000001176","DOIUrl":"10.1097/CIN.0000000000001176","url":null,"abstract":"","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"841-848"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141898846","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}
引用次数: 0
Natural Language Processing Application in Nursing Research: A Study Using Text Network Analysis and Topic Modeling. 护理研究中的自然语言处理应用:使用文本网络分析和主题建模的研究。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001158
Minji Mun, Aeri Kim, Kyungmi Woo
{"title":"Natural Language Processing Application in Nursing Research: A Study Using Text Network Analysis and Topic Modeling.","authors":"Minji Mun, Aeri Kim, Kyungmi Woo","doi":"10.1097/CIN.0000000000001158","DOIUrl":"10.1097/CIN.0000000000001158","url":null,"abstract":"<p><p>Although the potential of natural language processing and an increase in its application in nursing research is evident, there is a lack of understanding of the research trends. This study conducts text network analysis and topic modeling to uncover the underlying knowledge structures, research trends, and emergent research themes within nursing literature related to natural language processing. In addition, this study aims to provide a foundation for future scholarly inquiries and enhance the integration of natural language processing in the analysis of nursing research. We analyzed 443 literature abstracts and performed core keyword analysis and topic modeling based on frequency and centrality. The following topics emerged: (1) Term Identification and Communication; (2) Application of Machine Learning; (3) Exploration of Health Outcome Factors; (4) Intervention and Participant Experience; and (5) Disease-Related Algorithms. Nursing meta-paradigm elements were identified within the core keyword analysis, which led to understanding and expanding the meta-paradigm. Although still in its infancy in nursing research with limited topics and research volumes, natural language processing can potentially enhance research efficiency and nursing quality. The findings emphasize the possibility of integrating natural language processing in nursing-related subjects, validating nursing value, and fostering the exploration of essential paradigms in nursing science.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"889-897"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141447490","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}
引用次数: 0
A Pilot Study Toward Development of the Digital Literacy, Usability, and Acceptability of Technology Instrument for Healthcare. 为开发医疗保健领域数字素养、可用性和可接受性技术工具而进行的试点研究。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001156
Lisa L Groom, Dawn Feldthouse, Gina Robertiello, Jason Fletcher, Allison Squires
{"title":"A Pilot Study Toward Development of the Digital Literacy, Usability, and Acceptability of Technology Instrument for Healthcare.","authors":"Lisa L Groom, Dawn Feldthouse, Gina Robertiello, Jason Fletcher, Allison Squires","doi":"10.1097/CIN.0000000000001156","DOIUrl":"10.1097/CIN.0000000000001156","url":null,"abstract":"<p><p>Electronic health record proficiency is critical for health professionals to deliver and document patient care. There is scarce research on this topic within undergraduate nursing student populations. The purpose of this study is to describe the psychometric evaluation of the Digital Literacy, Usability, and Acceptability of Technology Instrument for Healthcare. A cross-sectional pilot study for psychometric evaluation of the instrument was conducted using data collected through an emailed survey. Exploratory factor analysis, inter-item and adjusted item-total correlations, and Cronbach's α calculated subscale reliability. A total of 297 nursing students completed the survey. A seven-factor structure best fit the data: technology use-engagement, technology use-confidence, technology use-history, electronic health record-ease of use, electronic health record-comparability, and electronic health record-burden. Cronbach's α indicated good to very good internal consistency ( α = .68 to .89). The instrument effectively measured digital literacy, acceptance, and usability of an electronic health record and may be implemented with good to very good reliability across varied healthcare simulation and training experiences.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"879-888"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141447441","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}
引用次数: 0
Design and Development of an Interactive Assessment Application for the Observation of Heart Failure Self-Health Management. 设计和开发用于观察心力衰竭自我健康管理的互动评估应用程序。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001187
Ying-Ju Chen, Chung-Lieh Hung, Pei-Hung Liao
{"title":"Design and Development of an Interactive Assessment Application for the Observation of Heart Failure Self-Health Management.","authors":"Ying-Ju Chen, Chung-Lieh Hung, Pei-Hung Liao","doi":"10.1097/CIN.0000000000001187","DOIUrl":"10.1097/CIN.0000000000001187","url":null,"abstract":"<p><p>Heart disease can lead to physical disability and mortality, ranking second among the top 10 causes of death according to the Ministry of Health and Welfare. This study aims to examine the impact of the interactive assessment application on patients' public health knowledge. In this study, a single-group pretest and posttest experimental design was adopted. Thirty-six hospitalized patients diagnosed with heart failure participated in the pretest and posttest assessments. The findings demonstrate that the developed application led to an increase in the number of recorded physiological measurements, effectively enabling patients to manage their blood pressure. The heart failure self-management application was observed to improve patients' understanding and awareness of heart failure disease, improving their self-management skills.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"905-912"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142009914","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}
引用次数: 0
A Pilot Randomized Controlled Study to Determine the Effect of Real-Time Videos With Smart Glass on the Performance of the Cardiopulmonary Resuscitation. 确定智能玻璃实时视频对心肺复苏术效果的试点随机对照研究。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-11-12 DOI: 10.1097/CIN.0000000000001211
Ayda Kebapci, Mustafa Ozkaynak, Fara Bowler, Heather Ponicsan, Zhan Zhang, Enze Bai
{"title":"A Pilot Randomized Controlled Study to Determine the Effect of Real-Time Videos With Smart Glass on the Performance of the Cardiopulmonary Resuscitation.","authors":"Ayda Kebapci, Mustafa Ozkaynak, Fara Bowler, Heather Ponicsan, Zhan Zhang, Enze Bai","doi":"10.1097/CIN.0000000000001211","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001211","url":null,"abstract":"<p><p>The aim of this study was to determine the effect of real-time videos with smart glasses on the performance of cardiopulmonary resuscitation performed by nursing students. In this randomized controlled pilot study, the students were randomly assigned to the smart glass group (n = 12) or control group (n = 8). Each student's cardiopulmonary resuscitation performance was evaluated by determining sequential steps in the American Heart Association algorithm they applied and the accuracy and time of each step. A higher number of participants correctly checked response breathing, requested a defibrillator, activated the emergency response team, and provided appropriate chest compressions and breaths in the smart glass group than the control group. There were significant differences between groups. Furthermore, more participants significantly corrected chest compression rate and depth and hand location, used a defibrillator, and sustained cardiopulmonary resuscitation until the emergency response team arrived in the smart glass group than in the control group. Additionally, a significantly shorter time was observed in the smart glass group than in the control group in all variables except time to activate the emergency response team (P < .05). Remote expert assistance with smart glass technology during cardiopulmonary resuscitation is promising. Smart glass led to a significantly better ABC (airway, breathing, circulation) approach, chest compression depth and rate, and hand position. Furthermore, remote expert assistance with smart glass has the potential to improve overall resuscitation performance because it enabled students to initiate resuscitation, use a defibrillator, and defibrillate patients earlier. Nurses may benefit from smart glass technology in real life to provide effective cardiopulmonary resuscitation.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631964","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}
引用次数: 0
A Question Answering Chatbot for Gastric Cancer Patients After Curative Gastrectomy: Development and Evaluation of User Experience and Performance. 针对胃癌根治性切除术后患者的问题解答聊天机器人:用户体验和性能的开发与评估。
IF 1.3 4区 医学
Cin-Computers Informatics Nursing Pub Date : 2024-11-01 DOI: 10.1097/CIN.0000000000001153
Ae Ran Kim, Hyeoun-Ae Park
{"title":"A Question Answering Chatbot for Gastric Cancer Patients After Curative Gastrectomy: Development and Evaluation of User Experience and Performance.","authors":"Ae Ran Kim, Hyeoun-Ae Park","doi":"10.1097/CIN.0000000000001153","DOIUrl":"10.1097/CIN.0000000000001153","url":null,"abstract":"<p><p>Postoperative gastric cancer patients have many questions about managing their daily lives with various symptoms and discomfort. This study aimed to develop a knowledge-based question answering (QA) chatbot for their self-management and to evaluate the user experience and performance of the chatbot. To support the chatbot's natural language processing, we analyzed QA texts from an online self-help group, clinical guidelines, and refined frequently asked questions related to gastric cancer. We developed a named entity classification with seven superconcepts, 4544 subconcepts, and 1415 synonyms. We also developed a knowledge base by linking the users' classified question intents with the experts' answers and knowledge resources, including 677 question intents and scripts with standard QA pairs and similar question phrases. A chatbot called \"GastricFAQ\" was built, reflecting the question topics of the named entity classification and QA pairs of the knowledge base. User experience evaluation (N = 56) revealed the highest mean score for usefulness (4.41/5.00), with all other items rated 4.00 or higher, except desirability (3.85/5.00). The chatbot's accuracy, precision, recall, and F score ratings were 85.2%, 87.6%, 96.8%, and 92.0%, respectively, with immediate answers. GastricFAQ could be provided as one option to obtain immediate information with relatively high accuracy for postoperative gastric cancer patients.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"829-839"},"PeriodicalIF":1.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141307262","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}
引用次数: 0
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