30 多年来，CIN: COMPUTERS, INFORMATICS, NURSING 一直处于信息科学和护理艺术的交汇处，发表有关护理信息学、研究、教育和健康信息技术管理最新发展的文章。 CIN 将您与同事联系起来，因为他们分享有关电子健康记录系统实施的知识、设计决策支持系统、将循证医疗保健纳入实践、探索实践和教育中的床旁计算，并在概念上整合护理语言和标准数据集。每期都有继续教育的联系时间。

CIN: COMPUTERS, INFORMATICS, NURSING has been at the intersection of information science and the art of nursing for over 30 years, publishing articles on the latest developments in nursing informatics, research, education, and health information technology management. CIN connects you with colleagues who share knowledge about the implementation of electronic health record systems, designing decision support systems, integrating evidence-based healthcare into practice, exploring bedside computing in practice and education, and conceptually integrating nursing languages and standard datasets. Each issue includes continuing education contact hours.

CIN: COMPUTERS, INFORMATICS, NURSING 期刊已在信息科学与护理艺术的交汇处运作超过 30 年，发表关于护理信息学、研究、教育和健康信息技术管理的最新发展文章。CIN 旨在连接同行，分享有关电子健康记录系统实施的知识、设计决策支持系统、将循证医疗纳入实践、探索实践与教育中的床旁计算，并在概念上整合护理语言和标准数据集。每期均提供继续教育的联系时间。

CIN - Computers Informatics Nursing

With few existing technology-based programs to support cancer pain management, the need for culturally tailored programs to support ethnic minority cancer survivors has been highlighted. The purpose of this study was to explore the preliminary efficacy of the technology-based CAncer Pain management support Program for Asian American survivors of breast cancer, a technology-based cancer pain management program, in improving the cancer pain experience of Asian American breast cancer survivors. This pilot study adopted a randomized repeated-measures pretest/posttest control group design with a sample of 94 Asian American breast cancer survivors. Study measures included the Brief Pain Inventory-Short Form, Support Care Needs Survey-34 Short Form, and Mishel Uncertainty in Illness Scale-Community. Data were analyzed using descriptive and inferential statistics including repeated-measures analysis of covariance. Although there were no significant differences in pain, there were significant changes in perceived isolation (F = 9.937, P < .01), personal resources (F = 6.612, P < .05), support care need (F = 8.299, P < .01), and degree of uncertainty (F = 8.722, P < .01) in the intervention group from pretest to posttest. These findings support the positive effects of CAncer Pain management support Program for Asian American survivors of breast cancer on the cancer pain experience of Asian American breast cancer survivors.

Wonshik Chee

Yaelim Lee

Xiaopeng Ji

Eunice Chee

Eun-Ok Im

CIN Computers Informatics Nursing

The Preliminary Efficacy of a Technology-Based Cancer Pain Management Program Among Asian American Breast Cancer Survivors

基于技术的癌症疼痛管理计划对亚裔美国乳腺癌幸存者的初步疗效

Effective communication skills in nursing are necessary for high-quality nursing care, but given the decline in nursing students' attitudes and their low self-confidence in effective communication with patients, a participatory and experiential training method is needed. Therefore, a virtual counseling application was developed using artificial intelligence and a three-dimensional avatar to facilitate learning of communication skills. This study aimed to evaluate the effectiveness of this theory-based virtual intervention on nursing students' learning attitudes, communication self-efficacy, and clinical performance. A longitudinal quasi-experimental study was conducted. Ninety-three undergraduate nursing students received virtual patient trainings with four clinical scenarios over 2 years. Data were analyzed using McNemar test and analysis of variance. Virtual patient training improved students' learning attitudes toward communication skills for scenarios involving the pregnant woman (20.4%, P = .03) and depressed patient (17.1%, P = .01) and enhanced perceived self-efficacy for scenarios involving the pregnant woman (22.6%, P = .002) and stressed nursing student (18.3%, P = .002). Students received lower clinical communication scores for pediatric, obstetric, and medical practicums compared with a previous cohort who received no training. Overall, this virtual counseling application can provide a valuable and cost-effective communication learning resource for the nursing curriculum.

Shefaly Shorey

Emily N. K. Ang

Esperanza Debby Ng

John Yap

Lydia S. T. Lau

Chee Kong Chui

Yiong Huak Chan

Evaluation of a Theory-Based Virtual Counseling Application in Nursing Education

基于理论的虚拟咨询应用在护理教育中的评估

Exploratory data analysis involves observing data in graphical formats before making any assumptions. If interesting relationships or patterns among variables are identified, hypotheses are developed for further testing. This study aimed to identify significant differences in the levels of exhaustion, resilience, sleep quality, and sleep hygiene according to the personal characteristics of middle-aged women transitioning into menopause or postmenopause through exploratory data analysis. A total of 200 women aged 44 to 55 years were recruited online in August 2023. Data were collected using valid instruments and analyzed through data visualization, pattern identification in the visualized data, and hypothesis establishment based on the visualized patterns. Hypotheses were tested through the independent-samples t test, analysis of variance, and the Kruskal-Wallis test. A total of 11 patterns and corresponding hypotheses were identified. According to the statistically supported pattern-based hypotheses, middle-aged women who were in their perimenopausal period perceived themselves as unhealthy, had professional occupations, and had the highest level of exhaustion and the lowest levels of resilience, sleep quality, and sleep hygiene. This study demonstrated that data visualization is an efficient way to explore relationships or patterns between data. Data visualization should be considered an informatics solution that can provide insight in the field of healthcare.

Mi Yang Jeon

Seonah Lee

Visualized Pattern-Based Hypothesis Testing on Exhaustion, Resilience, Sleep Quality, and Sleep Hygiene in Middle-Aged Women Transitioning Into Menopause or Postmenopause

基于可视化模式的中年女性围绝经期或绝经后期疲劳、韧性、睡眠质量及睡眠卫生假设检验

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.

Erica Smith

Darryl Somayaji

Data Trauma

数据创伤

Karen M. Bavuso

Denise Goldsmith

Mary Kennedy

Rita D. Zielstorff

2024 New England Nursing Informatics Consortium Member Highlights

2024新英格兰护理信息学联盟成员亮点

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.

Nesrin Çunkuş Köktaş

Gülseren Keskin

Gülay Taşdemir

Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction

考察系统接受度和社区归属感在预测护理学生在线学习满意度中的作用

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.

Tonya Judson

Bela Patel

Alison Hernandez

Michele Talley

Implementation of Diabetic Remote Patient Monitor for Underserved Population

实施针对弱势群体的糖尿病远程患者监测

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.

Saif Khairat

Jennifer Morelli

Barbara S. Edson

Julia Aucoin

Cheryl B. Jones

Needs Assessment of Virtual Nursing Implementation Using the Donabedian Framework

使用Donabedian框架的虚拟护理实施需求评估

Abbreviation	Comput. Inform. Nurs.
Journal Impact	1.36
Quartiles(Global)	NURSING(Q3)

ISSN	1538-2931, 1538-9774
h-index	52

Publication Information	Publisher: Lippincott Williams and Wilkins Ltd.，Publishing cycle: Bimonthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2002，Proportion of original research papers: 94.85%，Self Citation Rate:15.40%， Gold OA Rate: 9.42%
Average review cycle	网友分享经验：较慢,6-12周
Average recruitment ratio	网友分享经验：容易

CIN - Computers Informatics Nursing

Journal Citation Format

A journal article with 1 author

A journal article with 2 authors

A journal article with 3 authors

A journal article with 5 or more authors

Books Citation Format

Thesis Citation Format

Web sites Citation Format

Patent Citation Format

Staying up late manually editing references? ivySCI automatically matches journals and helps you generate references with a single click.

Share Submission Experience

The Preliminary Efficacy of a Technology-Based Cancer Pain Management Program Among Asian American Breast Cancer Survivors

Evaluation of a Theory-Based Virtual Counseling Application in Nursing Education

Visualized Pattern-Based Hypothesis Testing on Exhaustion, Resilience, Sleep Quality, and Sleep Hygiene in Middle-Aged Women Transitioning Into Menopause or Postmenopause

Data Trauma

2024 New England Nursing Informatics Consortium Member Highlights

Data Trauma

Visualized Pattern-Based Hypothesis Testing on Exhaustion, Resilience, Sleep Quality, and Sleep Hygiene in Middle-Aged Women Transitioning Into Menopause or Postmenopause

Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction

Implementation of Diabetic Remote Patient Monitor for Underserved Population

Needs Assessment of Virtual Nursing Implementation Using the Donabedian Framework