Cin-Computers Informatics Nursing最新文献

{"title":"Development and Evaluation of a Bariatric Mannequin Simulation System.","authors":"Donna Z Bliss, Erica Timko Olson, Carol Flaten, Cynthia S Bradley, Olga V Gurvich, Ratchada Jantraporn, Molly Conway, Alexandra Weinberger, Casey Kirchschlager, Ann Hayden, Laurie Sund, Ashlee Garcia, Nate Mullen, John Condon, Adam Becker","doi":"10.1097/CIN.0000000000001231","DOIUrl":"10.1097/CIN.0000000000001231","url":null,"abstract":"<p><p>Physical assessment of obese patients is an essential clinical skill for identifying the numerous health problems of obese patients and monitoring treatment effectiveness. Use of simulation mannequins facilitates teaching and learning of physical assessment. Available bariatric simulation mannequins have poor functional design, unrealistic appearance, and limited assessment functions. We developed a bariatric mannequin simulation system and an associated education curriculum of seven case scenario and debriefing exercises focused on health problems experienced by individuals who are obese. An innovation of our mannequin is inclusion of programmable electronics that can be used with clinical tools that receive the electronic signals; together they provide ability to assess normal and abnormal signs of a wide variety of health problems. Ten nursing faculty and 51 nursing and medical students at a Midwestern university evaluated the features and satisfaction of a prototype bariatric mannequin in separate simulation sessions using Likert-scale questionnaires. Results showed that the majority of faculty (60%) and student participants (70%+) agreed/highly agreed that the bariatric mannequin was innovative, engaging, user-friendly, useful, and likely effective for teaching or learning. Satisfaction ratings of both groups were similar. Feedback from participants was incorporated into a final refined product that improved its realistic appearance.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958343","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":"Effectiveness of Mobile Application-Based Intervention on Medication Adherence Among Pulmonary Tuberculosis Patients: A Systematic Review.","authors":"Syahrul Syahrul, Andi Masyitha Irwan, Ariyanti Saleh, Yuliana Syam, Andi Muhammad Fiqri, St Nurfatul Jannah","doi":"10.1097/CIN.0000000000001213","DOIUrl":"10.1097/CIN.0000000000001213","url":null,"abstract":"<p><p>To analyze the effectiveness of mobile application-based interventions on medication adherence among pulmonary tuberculosis patients. Intervention articles involving patients with pulmonary tuberculosis and/or their families, utilizing mobile application-based intervention research designs, assessing patients individually or in groups with or without a control group, using mobile application-based interventions that can be accessed via a browser, utilizing adherence to treatment as the primary outcome, and written in English and Indonesian were included. The articles published from 2012 to 2022 were obtained from EBSCO Host, ProQuest, GARUDA, PubMed, Scopus, and Cochrane Online Library databases. The Critical Assessment Standards Program was used to assess the trustworthiness, relevance, and results of the published articles. The quality of the articles was assessed according to Johns Hopkins Nursing Evidence-Based Practice guidelines. Seven studies reported that mobile application-based interventions can improve medication adherence, including treatment success, number of missed drugs, correct intake of medications, adherence to health programs, timeliness, and frequency of clinic visits. This review only analyzed the impact of mobile application-based interventions on patients, and their effects on the family, social, and health services were not covered.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142512362","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":"Improving Electronic Health Record Navigation Skills With Electronic Health Record System On-Demand Brief Video Tutorials.","authors":"Blair Hebner, Jill P Massengale, Jean W Davis","doi":"10.1097/CIN.0000000000001308","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001308","url":null,"abstract":"","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755864","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":"Effect of Mobile Health Interventions in the Heart Failure Patient During the Hospital-to-Home Transition Period Versus Usual Care: Systematic Review and Meta-analysis.","authors":"Diana Marcela Achury Saldaña, David Andrade-Fonseca, Andrés Daniel Gallego-Ardila, María Elisa Moreno Fergusson, Esperanza Peña Torres, Martin Rondón Sepúlveda","doi":"10.1097/CIN.0000000000001290","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001290","url":null,"abstract":"<p><p>Maintaining adherence to a long-term lifestyle in heart failure patients is challenging, highlighting the importance of mobile health educational interventions from hospitalization to discharge. This study assessed the effects of mobile health interventions on heart failure patients during the transition from hospital to home through a systematic review and meta-analysis of randomized controlled trials using PubMed, EMBASE, and Scopus. Studies with mobile health interventions starting postdischarge were excluded. The Cochrane Risk of Bias Tool 2 and Grading of Recommendations, Assessment, Development, and Evaluations strategy were used to assess bias. The results indicated that mobile health interventions were not effective in reducing readmissions compared with conventional management after 30 days (relative risk, 1.04; 95% confidence interval, 0.87-1.24). No improvements were found in quality of life or self-care. However, a reduction in mortality was observed (relative risk, 0.64; 95% confidence interval, 0.42-0.9). The study showed that mobile health interventions can reduce mortality in heart failure patients and may reduce late readmissions and improve quality of life over a period longer than 6 months. Longer follow-up studies are necessary.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755862","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":"Building an Effective and Sustainable Alert Reduction Program.","authors":"Karen L Bolen, Marci Denn, Kathleen Duckworth, James Woodward, Christopher R Dennis","doi":"10.1097/CIN.0000000000001299","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001299","url":null,"abstract":"","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755858","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":"Mapping the Landscape of Scenario-Based Simulation Teaching in Nursing: Insights From a Visual Bibliometric Analysis.","authors":"Yanting Liu, Yan Chen, Min Fu, Li Chen, Yuan Wang","doi":"10.1097/CIN.0000000000001291","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001291","url":null,"abstract":"<p><strong>Objective: </strong>As scenario-based simulation teaching gains traction in nursing education, a thorough bibliometric analysis is essential to uncover the breadth and depth of existing research, highlight key trends, and address gaps in multicenter studies.</p><p><strong>Methods: </strong>This study systematically reviewed articles on scenario-based simulation teaching in nursing published from January 2010 to January 2024, sourced from the Web of Science core collection and Scopus databases. Employing CiteSpace and R language, we analyzed publication patterns, journal distributions, and keyword frequencies to map the field's evolution and collaborative networks.</p><p><strong>Results: </strong>Our findings reveal a steady increase in publications over the study period, with significant growth noted between 2015 and 2019. Higher education institutions, predominantly from the United States, China, the United Kingdom, and Germany, are at the forefront of research in this area. These nations also exhibit robust international collaborations. Key research hotspots include advancements in medical education methodologies and the integration of modern technologies.</p><p><strong>Conclusion: </strong>This bibliometric analysis provides a comprehensive overview of nursing education's scenario-based simulation teaching landscape. It identifies enduring trends and emerging hotspots, offering a valuable foundation for future research and the development of innovative educational practices.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755866","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":"A Deep Learning Approach for Infant Pain Assessment Using Facial Expressions Through Convolutional Neural Network.","authors":"Long Zhang, Ting Yan Zhu, Ying Zhang","doi":"10.1097/CIN.0000000000001302","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001302","url":null,"abstract":"<p><p>This study presents a deep learning-based approach for assessing infant pain through facial expression analysis using Convolutional Neural Networks (CNNs). Given infants' inability to verbally articulate pain, reliable assessment methods are crucial in clinical nursing. To address this need, we developed a CNN model utilizing the COPE (Classification of Pain Expression) database. Our model achieved a test accuracy of 90.24%, with an average precision and recall of 87.58%, and an F1 score of 0.8758. Additionally, the model demonstrated high performance with an area under the curve of 0.9818 on the receiver operating characteristic curve. These results underscore the potential utility of CNNs for providing an objective pain assessment in clinical settings. However, the study acknowledges limitations, including a small sample size, the need for external validation, and ethical considerations. Future research should focus on expanding the dataset, conducting external validation, refining model architectures, and addressing ethical considerations to enhance performance and applicability. These efforts will advance infant pain management, ensure ethical integrity, and improve the overall quality of care.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755856","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":"UXpedite Learning Design: Bridging Instructional Design and Software Engineering for Effective Augmented Reality Learning Environments.","authors":"Hector Cardona-Reyes, Carlos Lara-Alvarez, Alexis Edmundo Gallegos-Acosta","doi":"10.1097/CIN.0000000000001301","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001301","url":null,"abstract":"<p><p>The demands of contemporary everyday contexts have accelerated the deployment and adoption of emerging technologies, such as augmented reality, to enhance the learning experience. Traditionally, AR learning environments have been designed according to established instructional design principles. Now, it has become essential to update this approach by addressing the current demands of modern teaching and learning methods (eg, face-to-face and online learning) alongside technical issues related to augmented reality (eg, virtual scenarios). Additionally, the inclusion of software engineering methodologies can contribute to increased precision in the design process. In this sense, the current research presents a blended learning design model named UXpedite Learning Design, which integrates both instructional design and software engineering design approaches to facilitate the development of AR environments. The model comprises six phases: (i) needs assessment, (ii) ideation, (iii) prototyping, (iv) development, (v) technical testing, and (vi) user evaluation. A case study was conducted to demonstrate the implementation of the proposed model in developing the Virtual-Beat application, a tool designed to teach the interpretation of human vital sign measurements. Our tests indicate that using the Virtual-Beat application leads to slightly better learning outcomes compared with conventional classroom education, as evidenced by a statistically significant difference in examination scores between the experimental group (M = 7.53) and the control group (M = 7.08), t73 = 2.96, P = .004. Additionally, the User Experience Questionnaire completed by participants who used the application yielded positive results, highlighting a favorable overall experience (M = 1.465) and excellent attractiveness (M = 1.667). However, the assessment also identified a need for improvement in user interaction control. In conclusion, the findings suggest that the UXpedite Learning Design model shows promise for creating high-quality learning environments that align with the evolving needs of higher education.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702113","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":"An Environmental Scan for Anatomical Inventories: Analysis of Canadian Public Information Sources Amongst Healthcare Organizations.","authors":"Kelly S Davison, Karen L Courtney, Amédé Gogovor","doi":"10.1097/CIN.0000000000001298","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001298","url":null,"abstract":"","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143674937","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":"Adaptation of a Synergy Model-based Patient Acuity Tool for the Electronic Health Record: Proof of Concept.","authors":"Mei Lin Chen-Lim, Halley Ruppel, Walter Faig, Eloise Flood, Daniel Mead, Darcy Brodecki","doi":"10.1097/CIN.0000000000001262","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001262","url":null,"abstract":"<p><p>Nurse staffing decisions are often made without input from high-quality, reliable patient acuity measures, especially in medical-surgical settings. Staffing decisions not aligned with patient care needs can contribute to inadequate patient-to-nurse ratios and nurse burnout, potentially resulting in preventable patient harm and death. We conducted a proof-of-concept study to explore the feasibility of adapting an evidence-based patient acuity tool for use in the EHR. A retrospective cohort of pediatric medical-surgical inpatients was used to map electronic patient data variables. We developed an algorithm to calculate the score for one domain of the tool and validated it by comparing it with a score based on a manual chart review. Through multiple rounds of testing and refinement of the variables and algorithm, we achieved 100% concordance between scores generated by the algorithm and the manual chart review. Our proof-of-concept study demonstrates the feasibility and challenges of adapting an evidence-based patient acuity score for automation in the EHR. Further collaboration with data scientists is warranted to operationalize the tool in the EHR and achieve an automated acuity score that can improve staffing decisions, support nursing practice, and enhance team collaboration.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659465","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}