Cin-Computers Informatics Nursing最新文献

Zoom fatigue may affect nursing students, as there has been an increase in the use of videoconferencing for academic as well as clinical applications. Fatigue can negatively interfere with clinical decision-making and lead to clinical errors. This study aimed to explore the association between Zoom fatigue and perceived clinical decision-making ability of nursing students. This cross-sectional study assessed self-reported sociodemographic characteristics, Zoom fatigue, and clinical decision-making. Nursing students reported a medium level of Zoom fatigue (2.50 ± 0.78) and moderate effects on clinical decision-making (150.924 ± 12.561). Statistically significant differences were found between Zoom fatigue, the number of videoconferences held in the last month ( rs = 0.065, P = .030), prolonged use of electronic devices ( χ23 = 12.817, P = .005), and sex of the participants ( U = 4043.500, P = .046). In addition, a negative relationship was observed between Zoom fatigue and clinical decision-making ( rs = -0.519, P < .001). Nursing students have shown a moderate level of Zoom fatigue. The number of videoconferences attended as well as the prolonged use of electronic devices could increase students' level of Zoom fatigue. Students' perception of their clinical decision-making is moderate. As the Zoom fatigue levels of nursing students increased, their perception of clinical decision-making ability decreased. In the academic and clinical settings, there is a need to develop strategies to prevent Zoom fatigue in nursing students and improve the quality of care provided to patients.

The purpose of this study was to evaluate the effectiveness of virtual reality meditation compared with standard care on sleep quality and delirium incidence in patients admitted to the ICU. We conducted a randomized controlled trial with 96 patients in an 11-bed surgical ICU at a South Korean university hospital. The control group received usual sleep care, whereas the intervention group received an additional 20-minute virtual reality-based mindfulness and relaxation meditation before bedtime. Using the Verran and Snyder-Halpern Sleep Scale, we found significantly improved subjective sleep quality in the intervention group compared with controls during both the first (47.82 vs 39.75, P = .015) and second nights (50.26 vs 43.65, P = .025) of ICU admission. However, objective sleep measurements using Fitbit devices showed no significant differences in total sleep time between groups for either the first (384.59 vs 358.19 minutes, P = .450) or second night (319.94 vs 310.77 minutes, P = .807). Delirium incidence was similar between groups (12.2% vs 12.8%, P = .938). These findings suggest the need for larger-scale studies with robust experimental designs to definitively establish the impact of virtual reality meditation on sleep quality and delirium in ICU patients.

The concept of self-care is a foundational construct of individual health and wellness. Facilitated self-care is the next logical step in society's uptake of technology for previously high-touch clinical activities, such as patient education and frequent biometric data tracking. This retrospective study aimed to assess whether participation in a digital interactive care plan correlated with an increase in participants' perceived self-efficacy as measured by a change in the Shortened Perceived Medical Condition Self-management Scale score from baseline to end-of-care plan. We included adult patients who were enrolled in at least one of 15 different interactive care plans at our institution between October 21, 2021, and December 30, 2022. Among 3196 patients included, 48.7% of participants did not complete the Shortened Perceived Medical Condition Self-management Scale assessment at baseline, and 73.5% did not complete it at end-of-care plan. For those who completed both assessments (n = 848), 52.2% had no change in their reported self-efficacy on completion of care plan. Similar percentages of patients had increased and decreased scores (25.6% vs 21.9%). The low completion rates were not sufficient to answer the research questions and generalize results. They also underscore the importance of patient engagement for understanding health outcomes associated with implementation of digital health solutions.

All disciplines, including nursing, may be experiencing significant changes with the advent of free, publicly available generative artificial intelligence tools. Recent research has shown the difficulty in distinguishing artificial intelligence-generated text from content that is written by humans, thereby increasing the probability for unverified information shared in scholarly works. The purpose of this study was to determine the extent of generative artificial intelligence usage in published nursing articles. The Dimensions database was used to collect articles with at least one appearance of words and phrases associated with generative artificial intelligence. These articles were then searched for words or phrases known to be disproportionately associated with large language model-based generative artificial intelligence. Several nouns, verbs, adverbs, and phrases had remarkable increases in appearance starting in 2023, suggesting use of generative artificial intelligence. Nurses, authors, reviewers, and editors will likely encounter generative artificial intelligence in their work. Although these sophisticated and emerging tools are promising, we must continue to work toward developing ways to verify accuracy of their content, develop policies that insist on transparent use, and safeguard consumers of the evidence they generate.

Using human factors approaches such as usability and usefulness in the evaluation of computerized information systems is key to the successful adoption for end users. Usability is associated with measuring the ease of use of a system, whereas usefulness is concerned with the accuracy and currency of the system content. At the British Columbia College of Nurses and Midwives, the nurse practitioner peer review incorporates the use of an online platform as part of the assessment process. The technology within this system has experienced challenges since its original deployment in 2012, particularly from an end user perspective. As such, it was important to conduct an evaluation in order to clearly identify the issues and develop recommendations and requirements for enhancements and improvements. A recognized usability evaluation methodology was selected including usability inspection as well as usability testing to ensure a thorough and comprehensive approach to this work. This approach proved highly effective in uncovering system issues within the regulatory health professions domain. Overall, usability evaluation methods were integral to meeting the objectives of this article and in demonstrating the value of applying human factors approaches in this context.

This study aimed to determine the relationship between nurses' levels of lifelong learning and their Web-based information search and interpretation strategies and digital literacy. This descriptive correlational study was conducted at a training and research hospital in Istanbul province. Data were obtained from 302 nurses who consented to participate in the study between April 17 and June 23, 2023. The data were collected using a questionnaire, the Lifelong Learning Scale, the Digital Literacy Scale, and the Web-Based Information Search and Interpretation Strategies Scale. The mean age of the nurses was 31.52 ± 7.4 years. A positive correlation was found between nurses' lifelong learning levels and digital literacy levels. In addition, nurses' lifelong learning levels positively affect Web-based information search and interpretation strategies. It was determined that the mean scores of the subdimensions of the Scale of Information Search and Interpretation Strategies in the Web Environment were high. Nurses with an average age of 31 years and above have a high level of lifelong learning and level of digital literacy. Nurses' willingness to learn throughout their lives has positively affected their digital literacy levels. Nurses use different sources and professional Web sites more frequently when seeking information than other strategies.

Obesity is health epidemic associated with health conditions specific to women's health. Healthcare providers must identify and develop a follow-up plan for patients with a body mass index of greater than 30 kg/m 2 to meet the Merit-Based Incentive Payment System Quality Program rate for body mass index screening and follow-up. Barriers to addressing obesity in this population by healthcare providers include time available for counseling and knowledge about appropriate diagnosis and treatment options. This is a quality improvement project that implements a clinical template within an existing electronic health record platform that includes a treatment order set and prepopulated counseling prompts to improve the rate of which healthcare providers address obesity within the women's health clinic. After 12 weeks, 27 patients started a weight management plan, and the Merit-Based Incentive Payment System rate increased from 59% to 67%. Implementation of order set templates into electronic health record platforms with counseling guidance provides a framework for providers to develop a plan to address obesity to meet their patient's health goals and reduce health disparities related to obesity in women.

Transitions from one EHR to another can be enormously disruptive to care. Nurses are the largest group of EHR users, but nurse experiences with EHR transitions have not been well documented. We sought to understand nurse experiences with an EHR transition at the US Department of Veterans Affairs. We used a mixed methods design, combining a cumulative 26 longitudinal interviews with 317 survey free-text responses and quantitative measures from a repeated cross-sectional survey, all from nurses at one of the first facilities to transition from the Department of Veterans Affairs' homegrown EHR to a commercial system. We conducted inductive/deductive content analysis of qualitative data and paired qualitative findings with descriptive statistics of survey questions. Analyses yielded insights about three key aspects of the transition: (1) EHR functionality: diverse perceived causes of challenges using the new EHR; (2) transition process: barriers and facilitators of nurses' EHR training and technical support; and (3) outcomes: nurse-perceived impacts on safety, quality, nurse satisfaction, and efficiency. Alongside improvements to EHR functionality, findings underscore the need for organizationally informed training and careful alignment between the new EHR and the organization's nursing practices-all of which have been undertaken by Department of Veterans Affairs nurses informed by this and other studies.