Cin-Computers Informatics Nursing最新文献

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.

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.

This study, conducted using the descriptive-correlational model, aims to evaluate the content, reliability, and quality of insulin pen injection videos on YouTube. The video-sharing platform YouTube was searched with the keyword "insulin pen injection." Of the 101 relevant videos, 49 were included in the study. Video contents were evaluated independently by the "Insulin Pen Injection Guide Form," their reliability by the "DISCERN Questionnaire," and their quality by the "Global Quality Scale." Of the 49 videos that met the inclusion criteria, 55.1% contained useful information, and 44.8% contained misleading information. The videos that were found to be useful were longer and had higher DISCERN and content scores. A statistically significant positive correlation was determined between the videos' DISCERN and content scores ( r = 0.772, P < .001). More than half of the insulin pen injection videos available on YouTube are helpful, but the number of misleading videos is close to the helpful ones. Thus, it may be recommended that the insulin pen injection videos be evaluated by experts in line with evidence-based guidelines before sharing them on YouTube.

For nurse leaders to excel in leadership roles in the clinical world of informatics, a comprehensive understanding of nursing informatics as translated within the broader scope of health informatics including clinical informatics and business intelligence is necessary. The translation of nursing informatics in the comprehensive scope of health informatics is not consistently taught in graduate nursing leadership curricula. Collaboratively, from an interprofessional education stance, a graduate nurse informatics course was re-visioned using translational pedagogy: the idea of teaching related concepts by translating each and vice versa. Specifically, we translated nursing informatics amid health informatics concepts including business intelligence. Leadership students in the re-visioned course experienced the ability to visualize, conceptualize, and understand how work in information systems impacts broader aspects of clinical and business decision-making. Looking at nursing informatics through the lens of health informatics will develop students' ability to visualize, conceptualize, and understand how work in information systems has an impact on the broader aspects of clinical decision-making and support. Further, this paradigm shift will enhance students' ability to utilize information systems in leadership decision-making as future knowledge workers.

This study aimed to develop a virtual experiential application for respiratory patient care and evaluate its impact on nursing students' knowledge, self-efficacy, clinical practice anxiety, and performance confidence. This application with gamification elements was developed following a structured approach encompassing assessment, design, development, implementation, and evaluation. The experimental group consisted of 21 third-year university students who engaged with the application multiple times a day for 1 week; the control group, comprising 21 students, received traditional prelearning. Data were collected 1 week before and immediately before the clinical practice commencement, from March 7 to 24, 2023, using an online survey. Nursing knowledge, self-efficacy, clinical practice anxiety, and performance confidence were evaluated. Significant improvements were observed in the experimental group's knowledge of respiratory patient care, self-efficacy, clinical practice anxiety, and performance confidence. The application proved to be an effective learning resource and assisted students in implementing the nursing process to enhance patient conditions; it highlighted nursing educators' necessity in developing and evaluating educational content. The developed application was effective in enhancing student nurses' competence and confidence, affecting nursing education and patient care.

Nurses and clinicians require knowledge and training of their facilities' code blue response cart to manage emergency scenarios. However, the nurses who access the carts change frequently through turnover and role changes. An augmented reality training solution was built for mobile devices, but encountered distribution and access challenges. This study evaluated the conversion of the mobile application to a desktop-based version deployed via a learning management system. Eight hundred fifty clinicians were assigned the interactive learning product, which collected anonymous usage data and an optional feedback survey within the module. Of 850 assigned users, 468 completed the module, and 338 completed the feedback survey. Respondents indicated a positive difference of 25.3% in retrospective pre/post confidence and an appreciation for the features of the product. Performance measured by decreasing total item search time appeared to level off after three plays. The format transition was successful, allowing the same widespread distribution as the mobile versions of [X]. Feedback gathered will drive improvements in the module.

Although transarterial chemoembolization has improved as an interventional method for hepatocellular carcinoma, subsequent postembolization syndrome is a threat to the patients' quality of life. This study aimed to evaluate the effectiveness of a clinical decision support system in postembolization syndrome management across nurses and patient outcomes. This study is a randomized controlled trial. We included 40 RNs and 51 hospitalized patients in the study. For nurses in the experimental group, a clinical decision support system and a handbook were provided for 6 weeks, and for nurses in the control group, only a handbook was provided. Notably, the experimental group exhibited statistically significant improvements in patient-centered caring attitude, pain management barrier identification, and comfort care competence after clinical decision support system implementation. Moreover, patients' symptom interference during the experimental period significantly decreased compared with before the intervention. This study offers insights into the potential of clinical decision support system in refining nursing practices and nurturing patient well-being, presenting prospects for advancing patient-centered care and nursing competence. The clinical decision support system contents, encompassing postembolization syndrome risk prediction and care recommendations, should underscore its role in fostering a patient-centered care attitude and bolster nurses' comfort care competence.

The aim of this study is to explore the connection between individual innovativeness levels and attitudes toward artificial intelligence among nursing and midwifery students. Data were collected from 500 nursing and midwifery students studying at a university in Türkiye. The data gathered between November and December 2023 involved a Personal Information Form, the Individual Innovation Scale, and the General Attitudes toward Artificial Intelligence Scale. Data analysis used descriptive statistics, independent-samples t test, analysis of variance, Bonferroni test, and logistic regression models. Students' average Individual Innovativeness Scale score was 59.47 ± 7.23. Consequently, it was determined that students' individual innovativeness levels were inadequate, placing them in the questioning group. Students demonstrated positive attitudes toward artificial intelligence, with General Attitudes toward Artificial Intelligence Scale-positive scores at a good level (42.67 ± 7.10) and negative attitudes at an average level (24.08 ± 5.81). A significant, positive relationship was found between Individual Innovation Scale and General Attitudes toward Artificial Intelligence Scale total scores ( P < .001). The individual innovation level of students proved to be a significant predictor of attitudes toward artificial intelligence ( P < .001). Students' individual innovativeness levels positively influence their attitudes toward artificial intelligence. However, it was identified that students' individual innovativeness levels are not sufficient and require improvement.

Addressing social determinants of health in nursing care is important for improving health outcomes and reducing health inequities. Using standardized nursing terminologies to capture this information generates sharable data that can be used to achieve these goals and create new knowledge. The purpose of this integrative review was to examine use of standardized nursing terminologies for collecting social determinants of health data in nursing research and practice. The CINAHL, MEDLINE, and Web of Science databases were searched using the terms "social determinants of health" [and] "nursing" [and] "standardized terminology" or names for each of the 12 American Nurses Association-approved terminologies. Limiters included peer-reviewed and English language. After removal of duplicates, 120 articles were found and screened for relevance and quality using a three-step process. This yielded a final sample of seven articles. Article data were extracted and analyzed for themes. In all articles, retrospective, observational, or secondary analysis research designs were used to analyze previously collected data from large, deidentified datasets or research studies. The Omaha System was the only standardized nursing terminology represented in the sample. All operational definitions of social determinants of health included behavioral items. In most studies, a social determinants of health index score was calculated, and data were analyzed using descriptive statistics and visualization methods. Results reported across the articles were diverse; some themes were identified. This review revealed published literature on this topic is limited. More quality improvement and multisite studies that examine the use of standardized nursing terminologies by nurses to collect and use social determinants of health data are needed.