Computers, informatics, nursing : CIN最新文献

Best Practices in Mitigating the Impact of BOT Attacks in Internet-Mediated Research. 在互联网中介研究中减轻BOT攻击影响的最佳实践。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001332

Carolyn S Harmon

引用次数: 0

Exploring the Knowledge Structure of Research for Nurse Preceptor Training Programs Using Text Network Analysis and Topic Modeling. 基于文本网络分析和主题建模的护士长培训项目知识结构研究。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001347

Sun Hee Seon, Hye Won Jeong, Ja Yun Choi

{"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":"10.1097/CIN.0000000000001347","url":null,"abstract":"Purpose: 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.Methods: 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.Results: 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.Conclusion: 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.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","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}

引用次数: 0

Comparison of Predictable Ability Measure Using Examinations and Nursing Licensure Success. 可预测能力考试与护理执照成功的比较。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001247

Stephanie Terry, Sheila Chery, Steven G Viger, Vicki Moran, Sara Madden, Kayla Rightler

{"title":"Comparison of Predictable Ability Measure Using Examinations and Nursing Licensure Success.","authors":"Stephanie Terry, Sheila Chery, Steven G Viger, Vicki Moran, Sara Madden, Kayla Rightler","doi":"10.1097/CIN.0000000000001247","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001247","url":null,"abstract":"End-of-program predictive examinations have been in existence in nursing education for over 10 years. Nursing schools have used these examinations to prepare students on the testable content from National Council of State Boards of Nursing (NCSBN), which has been delivering the NCLEX-RN since 1994. Nursing students, in the final semester of the nursing program, took the Predictable Ability Measurement Readiness (PAMR) 1 and/or 2. The 100-question exam was developed by nursing subject matter experts following the 2019 NCLEX-RN blueprint content, item types, and scoring. The PAMR scores were examined and compared with the results of the nursing students on the NCLEX-RN. Statistical analysis revealed that the students who passed the NCLEX-RN on their first attempt had higher scores on the PAMR1. A cut-point scale using regression modeling was developed to determine a minimal score compared with the probability of passing NCLEX-RN. Nursing faculty have a reliable and predictable exam to use to prepare students to take the NCLEX-RN. The PAMR 1 and 2 have demonstrated the ability to predict passing on the NCLEX-RN and can be used confidently in nursing programs for licensure examination preparation.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":"43 9","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145025201","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}

引用次数: 0

The Effectiveness of a Gamified Lesson Plan Using the TOY Gamification Model in Nursing Education. 在护理教育中使用玩具游戏化模型的游戏化课程计划的有效性。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001327

İlknur Atasever, Emel Taşçı Duran

引用次数: 0

Assessing Daily Antihypertensive Medication Compliance Among Black Adults Using Smartphone-Based Ecological Momentary Assessment: A Feasibility Study. 使用基于智能手机的生态瞬时评估评估黑人成人每日抗高血压药物依从性：一项可行性研究

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001219

Tonychris Nnaka, Elizabeth Heitkemper, Emily T Hébert, Kavita Radhakrishnan, Michael Young, Tiffany Ewere, Miyong T Kim

{"title":"Assessing Daily Antihypertensive Medication Compliance Among Black Adults Using Smartphone-Based Ecological Momentary Assessment: A Feasibility Study.","authors":"Tonychris Nnaka, Elizabeth Heitkemper, Emily T Hébert, Kavita Radhakrishnan, Michael Young, Tiffany Ewere, Miyong T Kim","doi":"10.1097/CIN.0000000000001219","DOIUrl":"10.1097/CIN.0000000000001219","url":null,"abstract":"Lower compliance to antihypertensive medication among the Black population, the gold standard for hypertension management, increases their risk of uncontrolled hypertension and serious health complications. One effective strategy for improving compliance with hypertension self-management involves real-time assessment of behavior using ecological momentary assessment in a person's natural environment. This allows for the determination of self-management behavioral patterns such as medication compliance, as well as overcoming the limitations of recall bias common in retrospective cross-sectional data. In the few ecological momentary assessment studies focused on hypertension self-management, individuals of Black descent are significantly underrepresented. We aimed to assess the feasibility and acceptability of smartphone-based ecological momentary assessment among Black adults with hypertension (n = 34), in the context of compliance to antihypertensives. Of the 952 assessment prompts delivered to participants' smartphones, participants responded to 918 (96.4%). Daily medication compliance was high among participants-25 days out of 28 (M = 24.71, SD = 6.79). Participants indicated they had a good experience with the assessment method and their intention to participate in future studies of this method. Our study demonstrated that a digitized smartphone-based ecological momentary assessment is a promising, feasible, and acceptable approach for assessing hypertension self-management behavior among Black adults.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12313092/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144746855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application and Challenges of Large Language Models in Clinical Nursing: A Systematic Review. 大语言模型在临床护理中的应用与挑战：系统综述。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001328

Jiaojiao Song, Wenlong Liu, Yazhe Wang, Xin Hu, Lina Chen, Xin Wu, Congru Zheng, Qing Gu

{"title":"Application and Challenges of Large Language Models in Clinical Nursing: A Systematic Review.","authors":"Jiaojiao Song, Wenlong Liu, Yazhe Wang, Xin Hu, Lina Chen, Xin Wu, Congru Zheng, Qing Gu","doi":"10.1097/CIN.0000000000001328","DOIUrl":"10.1097/CIN.0000000000001328","url":null,"abstract":"This review aims to summarize the current status, future prospects, and challenges of large language models in the field of clinical nursing. This systematic review follows the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines for literature selection and analysis. By searching databases such as EMBASE, CINAHL, MEDLINE, and Web of Science, with a time frame from January 1, 2021, to October 23, 2024, 15 eligible studies were included. The analysis results indicate that large language models can significantly improve the efficiency and quality of nursing services, including clinical decision support, patient education, nursing documentation generation, and workflow optimization. However, several challenges were also identified in practical applications, such as data privacy protection, misleading model outputs, and ethical issues. Despite these challenges, large language models hold great potential in the nursing field. The paper discusses several solutions to address these challenges and looks ahead to the future development directions of large language model technology, with the expectation that it will be more widely and deeply applied in the clinical nursing field.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319176","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}

引用次数: 0

Examining the Efficacy of Large Language Models for Mitigating Depression and Anxiety Among Chinese Students: A Randomized Controlled Trial. 考察大型语言模型对缓解中国学生抑郁和焦虑的效果：一项随机对照试验。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001349

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":"10.1097/CIN.0000000000001349","url":null,"abstract":"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.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","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}

引用次数: 0

Comparison of Predictable Ability Measure Using Examinations and Nursing Licensure Success. 可预测能力考试与护理执照成功的比较。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001387

引用次数: 0

Mining Association Rules Between Pressure Injury Risk Factors in Adult Inpatients Based on the Apriori Algorithm. 基于Apriori算法的成人住院患者压力损伤危险因素关联规则挖掘

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001348

Mizhi Wu, Xiaoxiao Zhang, Hongmei Yu, Hongying Pan

{"title":"Mining Association Rules Between Pressure Injury Risk Factors in Adult Inpatients Based on the Apriori Algorithm.","authors":"Mizhi Wu, Xiaoxiao Zhang, Hongmei Yu, Hongying Pan","doi":"10.1097/CIN.0000000000001348","DOIUrl":"10.1097/CIN.0000000000001348","url":null,"abstract":"This study investigated clinically significant association rules within pressure injury (PI) data from adult hospitalized patients to inform evidence-based prevention and management strategies. A retrospective cohort analysis was performed on a multicenter sample comprising 2386 PI cases (January 2018 to October 2023) across two tertiary hospital districts in Zhejiang Province, China. The analytical framework incorporated five patient-level demographic/clinical variables and six PI-specific characteristics. Association rule mining was conducted using the Apriori algorithm (minimum support = 10%, confidence threshold = 80%, lift >1), yielding 579 preliminary rules. Subsequent validation via χ2 testing retained 540 statistically significant associations ( P < .05), of which 11 clinically actionable rules were established through Delphi consensus by a multidisciplinary expert panel. The results corroborate existing epidemiological evidence: advanced age (≥65 years), hypoalbuminemia (<35 g/L), and comorbid respiratory/neurological disorders constitute predominant risk factors for PI development. This study demonstrates the methodological rigor of association rule mining in identifying high-risk patient profiles, facilitating targeted early interventions to reduce PI incidence in inpatient populations.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602769","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}

引用次数: 0

Construction and Application of a Home Care Model for Patients with Peripherally Inserted Central Catheters Based on a Mobile Care App. 基于移动护理App的外周中心置管患者家庭护理模式构建与应用

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2025-09-01 DOI: 10.1097/CIN.0000000000001322

Jianhua Zheng, Ming Lu, Yang Yang, Mingzhe Meng, Jinxiu Li, Lu Wang

{"title":"Construction and Application of a Home Care Model for Patients with Peripherally Inserted Central Catheters Based on a Mobile Care App.","authors":"Jianhua Zheng, Ming Lu, Yang Yang, Mingzhe Meng, Jinxiu Li, Lu Wang","doi":"10.1097/CIN.0000000000001322","DOIUrl":"10.1097/CIN.0000000000001322","url":null,"abstract":"This study aimed to develop a mobile care application for peripherally inserted central catheter maintenance, which incorporated five functions: data recording, health education, image uploading, regular reminders, and online consultation. The impact of this application on the self-management ability, related complications, and satisfaction of patients with home care was evaluated. This mobile care application was developed and designed in accordance with the International Organization for Standardization 25010 standard, and the scores of various functions of International Organization for Standardization 25010 were also assessed. The experiment consisted of 120 patients with peripherally inserted central catheters in the hematology department who were receiving home care. Among them, 60 members in the control group adopted the conventional home care model. The 60 members in the experimental group, in addition to the conventional home care, also participated in the use of the mobile care application multiple times. It was observed that the self-management ability, related complications, and satisfaction of the peripherally inserted central catheter home-catheterized patients in the experimental group were significantly improved. This application has been proven to be an effective home care tool, capable of providing convenient and comprehensive nursing support for patients through the synergistic effect of multidimensional function modules, effectively compensating for the deficiencies of traditional home care in information transmission, real-time monitoring, and personalized guidance.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144183484","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}

引用次数: 0