Cin-Computers Informatics Nursing最新文献

Patient Portal Use Among Korean Americans With and Without Chronic Disease Condition.

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-07 DOI: 10.1097/CIN.0000000000001274

Kyeung Mi Oh, Chanam Shin, Moonju Lee, Krista Beran, Kyungeh An

{"title":"Patient Portal Use Among Korean Americans With and Without Chronic Disease Condition.","authors":"Kyeung Mi Oh, Chanam Shin, Moonju Lee, Krista Beran, Kyungeh An","doi":"10.1097/CIN.0000000000001274","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001274","url":null,"abstract":"Patient portals have the potential to increase patients' engagement in self-care and improve health outcomes. However, limited research exists on patient portal usage among Korean Americans, especially those with chronic conditions. This study aimed to assess patient portal usage among Korean Americans and compare utilization between those with and without chronic health conditions. We developed a survey by adapting relevant items from the Health Information National Trend Survey, followed by standardized translation into Korean and validation. A survey was then conducted with 522 Korean Americans 40 years or older residing in the United States. Among them, 50.8% had chronic conditions, yet only 40.3% used their patient portals in the past year. No difference in patient portal usage was found between those with and without chronic diseases. Those who were younger and with higher education, higher income, and advanced English proficiency were more likely to use patient portals, compared with their counterparts. Awareness of core patient portal features was low. Healthcare providers' encouragement to use it (adjusted odds ratio, 12.97; 95% confidence interval, 6.85-24.55) was the strongest predictor of patient portal use. These findings emphasize the need for culturally competent interventions aimed at improving self-care by enhancing patient portal utilization among Korean Americans with chronic conditions.","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574413","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

Usability Test for a Smart Glass-Based Application to Support Nurses' Hospital Admission Tasks.

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-07 DOI: 10.1097/CIN.0000000000001295

Shota Kagawa, Sachiko Iijima

{"title":"Usability Test for a Smart Glass-Based Application to Support Nurses' Hospital Admission Tasks.","authors":"Shota Kagawa, Sachiko Iijima","doi":"10.1097/CIN.0000000000001295","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001295","url":null,"abstract":"The shortage of nurses, which harms both patients and nurses, is a global issue. Healthcare providers are actively introducing information and communication technology and artificial intelligence to improve the efficiency of their nursing work. Electronic devices in healthcare often face challenges such as poor accessibility, complex documentation processes, and interference with patient care. Therefore, this study focuses on smart glasses as alternative devices and develops a hospital-work support application to test its usability. The usability test involved nurses who perform hospital-admission tasks in a simulated hospital-room environment at a general hospital in Japan as part of a performance measurement, followed by interviews and questionnaires (System Usability Scale) with nurses. The smart glasses used in this study were AR100 and DE100 from Dynabook. The tests yielded results from five nurses, including System Usability Scale scores ranging from 37.5 to 70, reduced documentation time, and a nearly 100% task-completion rate. However, we found usability issues related to the input method and distraction risks owing to the presence of the display, and the required application functionalities may vary depending on the nurses' capabilities. Although smart glasses can potentially improve the efficiency of nurses' hospital duties, further enhancements in usability are necessary.","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574436","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

Opportunities and Challenges for Digital Health and Artificial Intelligence to Support Nurses: Results of a Survey of Nursing Informaticists.

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-07 DOI: 10.1097/CIN.0000000000001279

Meghan Reading Turchioe, Robin Austin, Kay Lytle

{"title":"Opportunities and Challenges for Digital Health and Artificial Intelligence to Support Nurses: Results of a Survey of Nursing Informaticists.","authors":"Meghan Reading Turchioe, Robin Austin, Kay Lytle","doi":"10.1097/CIN.0000000000001279","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001279","url":null,"abstract":"Artificial intelligence and other digital health technologies may optimize nurses' work. Therefore, we aimed to examine the roles of nurses in facilitating the adoption of digital health technologies and identify opportunities for these technologies to reduce burnout. We conducted a cross-sectional survey study focused on nurses' use of digital health and artificial intelligence technology with nursing informaticists. Data collection was guided by the implementation science framework, Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability. Participants were recruited electronically through professional nursing informatics organizations. Survey data were analyzed using basic descriptive statistics. Fifty-two participants from across the United States completed the survey. Telehealth (73%), patient portals (71%), and medical-grade devices (69%) were most frequently used, whereas artificial intelligence was frequently used by only 38%. Staffing shortages (88%), low staff retention (81%), and inadequate support when adopting new technologies (52%) were among the key drivers of nursing burnout. Participants endorsed most nursing tasks as being supported by digital health, especially patient assessment and evaluating outcomes, and especially artificial intelligence. Engaging nurses early in the process of developing and deploying digital health, especially artificial intelligence, may help address burnout by producing more nursing-centered technologies and providing technology-enabled nursing work alternatives to bedside care.","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574397","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

Guidance Regarding the Use of Artificial Intelligence in Nursing Journal Author Guidelines. 关于在护理期刊作者指南中使用人工智能的指导》。

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-05 DOI: 10.1097/CIN.0000000000001286

Heather Carter-Templeton, Marilyn H Oermann, Jacqueline K Owens, Gabriel M Peterson, Joy Mbadiwe, Mohammed Quazi, Hannah E Bailey

引用次数: 0

Utilization and Influencing Factors of Mobile Health Applications in Diabetes Management: An Integrative Review.

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-05 DOI: 10.1097/CIN.0000000000001268

Jun-Ying Fan, Jin-Mei Li, Chao-Yang Duan, Qing Zhao, Yu-Fang Guo

{"title":"Utilization and Influencing Factors of Mobile Health Applications in Diabetes Management: An Integrative Review.","authors":"Jun-Ying Fan, Jin-Mei Li, Chao-Yang Duan, Qing Zhao, Yu-Fang Guo","doi":"10.1097/CIN.0000000000001268","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001268","url":null,"abstract":"Mobile health applications are increasingly acknowledged as effective instruments for enhancing self-management among individuals with diabetes. However, despite their potential, the extent of their global usage among this population remains unclear. To better understand this, we conducted a systematic review of existing studies to explore the worldwide usage of mobile health applications by this population and to identify factors that influence their usage. A total of 33 studies, involving 15 181 subjects, were analyzed. The findings indicated that, across the studies reviewed, the utilization rate of mobile health applications among individuals with diabetes was 25% (95% confidence interval, 20%-31%). Subgroup analyses demonstrated that country, education level, type of diabetes, mode of insulin delivery, and frequency of blood glucose monitoring influence the utilization rates of mobile health applications by this demographic. In addition, qualitative studies indicated that barriers to utilization, usability issues, the need for personalization, and social and infrastructure support also influence the use of mobile health applications by individuals with diabetes. In light of these influencing factors, policymakers, healthcare providers, and mobile health application developers should collaborate to develop effective strategies to increase the utilization rates of mobile health applications and improve diabetes management.","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568742","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

Revisiting NANDA International-Nursing Interventions Classification-Nursing Outcomes Classifications Linkages of Nursing Home Residents in Korea.

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-05 DOI: 10.1097/CIN.0000000000001261

Juh Hyun Shin, Chung Hyuk Park, Suhyun Park, Myungeun Lee, Jisoo Kim

{"title":"Revisiting NANDA International-Nursing Interventions Classification-Nursing Outcomes Classifications Linkages of Nursing Home Residents in Korea.","authors":"Juh Hyun Shin, Chung Hyuk Park, Suhyun Park, Myungeun Lee, Jisoo Kim","doi":"10.1097/CIN.0000000000001261","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001261","url":null,"abstract":"Standardized nursing languages help nurses articulate issues with patients, forming the groundwork for the selection of nursing interventions aimed at achieving outcomes. However, the application of standardized nursing linkages on nursing processes and nursing home residents' outcomes, as well as the identification of facility and resident factors, remains unexplored. The purpose of this study was to examine nursing home facility and resident factors on the use of NANDA, Nursing Interventions Classification, and Nursing Outcomes Classification (NNN) and frequently occurring NNN linkages surrounding nursing home residents in Korea. Data were collected from 53 nurses of 273 residents in 19 nursing homes in Korea using a newly developed smartphone application. Descriptive statistics, analysis of variance, and analysis of covariance were used for the data analysis. Nine NNN linkages were identified in this study, mostly centered on fall prevention. We also identified that residents' factors (including acuity, age, and admission period) and organizational factors (including year of facility establishment and facility ownership status), were related to the use of NNN. Nursing home nurses' clinical and critical judgment and the utilization of standardized nursing languages to select proper nursing interventions and outcomes should be based on both resident and organizational factors.","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574433","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

The Impact of Nursing Information Literacy and Nursing Informatics Competency on Attitudes Toward Evidence-Based Practice.

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-05 DOI: 10.1097/CIN.0000000000001272

Rola H Mudallal, Hanan M Al-Modallal, Nahid F Al Hassan

{"title":"The Impact of Nursing Information Literacy and Nursing Informatics Competency on Attitudes Toward Evidence-Based Practice.","authors":"Rola H Mudallal, Hanan M Al-Modallal, Nahid F Al Hassan","doi":"10.1097/CIN.0000000000001272","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001272","url":null,"abstract":"In today's rapidly advancing world of science and technology, evidence-based practice has become a critical requirement to satisfy patients' needs and improve the nursing profession. However, little is known about the factors impacting evidence-based practice. This study uses a cross-sectional, correlational design to explore the factors influencing nurses' attitudes toward evidence-based practice. A convenience sample of 272 RNs was recruited to complete the online survey. The results revealed that staff nurses reported relatively positive attitudes toward evidence-based practice. Multiple linear regression analysis identified six factors that could predict RNs' attitudes toward evidence-based practice: information literacy, nursing informatics competency, organizational support, evidence-based practice barriers, leadership style, and the nursing care model. These factors were responsible for approximately 53% of the variance. To improve nurses' attitudes toward evidence-based practice, managers are advised to adopt flexible leadership styles, create a supportive environment, and encourage staff development through different training programs for evidence-based practice and nursing informatics.","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568741","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

Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction. 系统接受度和社区感受在预测护理学生在线学习满意度中的作用。

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-01 DOI: 10.1097/CIN.0000000000001228

Nesrin Çunkuş Köktaş, Gülseren Keskin, Gülay Taşdemir

{"title":"Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction.","authors":"Nesrin Çunkuş Köktaş, Gülseren Keskin, Gülay Taşdemir","doi":"10.1097/CIN.0000000000001228","DOIUrl":"10.1097/CIN.0000000000001228","url":null,"abstract":"Online learning has transitioned from being optional to a mandatory experience in nursing education. Consequently, it is crucial to understand nursing students' satisfaction and the factors influencing it to create and implement a successful online learning environment. This study aimed to examine the roles of system acceptance and community feeling in predicting nursing students' online learning satisfaction. The sample of the relational and cross-sectional study consisted of 451 nursing students studying online in the two universities in Western Turkey. Data were collected using the Personal Information Form, Online Learning Systems Acceptance, Community Feeling Scale, and Satisfaction Scale. A positive correlation was found between the perceived ease and benefit variables and satisfaction levels of nursing students in the study within the scope of online learning systems acceptance. A positive correlation was found between the actional and affective components of community feeling and satisfaction levels of nursing students in the study. Besides, the affective component was found to be the most significant factor in explaining satisfaction with online learning. The learning environment can be improved by increasing the diversity and interaction of nursing students with methods or instruments such as online collaborative learning approaches and online community building.","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":"142803028","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

Exploring Healthcare Students' Intention to Use Virtual Reality Simulations in China: A Cross-sectional Study Applying the Technology Acceptance Model. 探讨中国医疗保健专业学生使用虚拟现实模拟的意向：应用技术接受模型的横断面研究

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-01 DOI: 10.1097/CIN.0000000000001224

Quan Yuan, Fenghua Yang, Maoling Fu, Xueru Liu, Kaiqi Chen, Qianwen Zeng, Mengwan Liu, Cuihuan Hu

{"title":"Exploring Healthcare Students' Intention to Use Virtual Reality Simulations in China: A Cross-sectional Study Applying the Technology Acceptance Model.","authors":"Quan Yuan, Fenghua Yang, Maoling Fu, Xueru Liu, Kaiqi Chen, Qianwen Zeng, Mengwan Liu, Cuihuan Hu","doi":"10.1097/CIN.0000000000001224","DOIUrl":"10.1097/CIN.0000000000001224","url":null,"abstract":"This study aims to investigate healthcare students' intention to use virtual reality simulations. By using the Technology Acceptance Model, the research delves into the factors influencing students' acceptance and adoption of virtual reality simulations. Following a cross-sectional design, this article adheres to the STROBE Statement guidelines. The study included 632 undergraduate healthcare students from three universities in China. Data were collected through online questionnaires administered at three comprehensive universities in China between June 19, 2023, and January 15, 2024. Self-reported measurements were used, and hypotheses were analyzed using Amos software to construct a structural equation model. The study reveals positive correlations, indicating that habits are positively associated with perceived ease of use and perceived usefulness. Furthermore, system quality is positively correlated with perceived ease of use and perceived usefulness. Notably, perceived ease of use positively influences perceived usefulness, and both perceived ease of use and perceived usefulness are positively linked to intention to use. The findings suggest that educational institutions and educators should prioritize students' habits, platform system quality, perceived usefulness, and perceived ease of use to enhance healthcare students' intention to engage with virtual reality simulations.","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":"142958349","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

Perceptions and Attitudes of Registered Nurses and Nursing Students Toward Advanced Technology and Artificial Intelligence: A Review of Literature. 注册护士和护生对先进技术和人工智能的认知和态度：文献综述。

IF 1.3 4区医学

Cin-Computers Informatics Nursing Pub Date : 2025-03-01 DOI: 10.1097/CIN.0000000000001221

Omar Abdelaziz, Sohye Lee, Sheri Howard, Leanne Lefler

{"title":"Perceptions and Attitudes of Registered Nurses and Nursing Students Toward Advanced Technology and Artificial Intelligence: A Review of Literature.","authors":"Omar Abdelaziz, Sohye Lee, Sheri Howard, Leanne Lefler","doi":"10.1097/CIN.0000000000001221","DOIUrl":"10.1097/CIN.0000000000001221","url":null,"abstract":"The use of technology in healthcare and healthcare education settings has increased rapidly across the United States and accelerated due to the COVID-19 pandemic. However, perceptions of new technologies in clinical nursing and nursing education are not well understood. Yet, understanding perceptions of registered nurses and nursing students toward advanced technology and artificial intelligence in clinical care and education is crucial if we are to implement these care delivery and educational innovations. This literature review investigates existing literature on registered nurses' and nursing students' attitudes toward advanced technology and artificial intelligence in nursing, including nursing education. Ten peer-reviewed studies published between 2017 and 2022 were reviewed. Findings revealed positive perceptions, such as improved patient care, efficiency, and reduced human error, but also concerns about job displacement, loss of human touch, and ethical/legal issues. Challenges in implementation, adequate training in technologies, and how technologies may reduce the human connection aspect of nursing care were identified. By recognizing the attitudes and perceptions of registered nurses and nursing students toward these advanced technologies, we can better ensure that it is ethically, effectively, and responsibly integrated into nursing practice and education.","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":"142958302","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