Cin-Computers Informatics Nursing最新文献

This study aimed to develop an online health community platform for facilitating the empowerment of people with chronic diseases dwelling in the community regarding disease prevention and health promotion. The user-centered design approach included four main steps: (1) identifying the health problems and needs of target users, (2) developing the content of the platform, (3) constructing the platform, and (4) pilot testing, refinement, and finalization. An online health community platform available both in a mobile application and a Web-enabled application has been launched to facilitate empowerment and self-management by people with chronic conditions. The main components of the application comprised (1) screening for chronic diseases and health problems, (2) setting personal goals for health promotion and action planning to achieve the goals themselves, (3) offering an online health community with shared group goals that help users engage with their peers to attain their goals, and (4) creating one's own online health community and inviting others to participate. The platform has the potential to encourage people with chronic conditions to proactively engage in their own health promotion. Future studies are needed to determine the impact of the application on self-management and empowerment for its users.

With an overall rise in technology adoption, the information-seeking behaviors of today have become instant and single-focused, and demand convenience for learning and the acquisition of knowledge. Digital technologies expand the reach of learning and allow for the development of innovative and creative methods of teaching. The use of microlearning has been gaining popularity in academic and professional development settings and corporate training. Currently, there is no standardized definition of microlearning. Using Walker and Avant's method of concept analysis, a comprehensive overview of microlearning is provided through identifying the concept and describing its uses, attributes, exemplary cases, antecedents, consequences, and empirical referents. Seven attributes associated with microlearning are single focus, bite-sized, asynchronistic, accessibility, flexibility, interactivity, and multimodal delivery. A proposed definition is a self-directed, on-demand, teaching strategy where small single-focused interactive content is presented to learners asynchronously, using technologies that accommodate multimodal delivery, and access where and when convenient for the learner. This analysis will assist informatics and nursing educators in understanding how microlearning, as a strategy, fits into the electronic learning landscape, is supported by digital technologies, and adds portability to leverage in an on-demand asynchronous way providing targeted learning for use in all areas of clinical practice.

Early mobility is a form of critical care rehabilitation ranging from in-bed exercise to ambulation and is known to limit post-intensive-care functional decline. Multiple barriers prevent widespread early mobility implementation. Clinical decision support systems can optimize the decision-making process and overcome barriers to care. However, critical care early mobility clinical decision support does not exist. Our objective was to develop and establish the content validation of the operational definitions for a novel critical care early mobility assessment instrument. Content validation was conducted in two steps: (1) development of operational definitions by the research team and (2) content validation with 10 nurse experts. Quality assessment and suitability of the operational definitions for 30 items, across four safety domains, were assessed using a 7 point-Likert scale. Item content validity index scores ranged from 0.6 to 0.1 after the first validation round. Domains containing items with item content validity index scores less than the lower limit of 0.78 were modified for clarity of language. Item content validity index scores ranged from 0.8 to 1.0, and the scale-level content validity index was 0.93 after the second content validation round. Excellent content validity of the operational definitions was achieved. This is the first methodological step in a larger project to develop clinical decision support for critical care early mobility.

This study was conducted to determine the effect of video-based simulation education on nursing students' motivation and academic achievement. The research was designed in a mixed model. A quasi-experimental method with a pretest-posttest control group was used for the quantitative part, and the descriptive phenomenology approach was used as the qualitative research method. The sample of the study consisted of second-year nursing students in two state universities in eastern Turkey. The data were collected with the Student Information Form, the Academic Achievement Test, and the Motivation Resources and Problems Scale using Google Forms Web application. Qualitative data were collected through online semistructured interview forms and focus group interviews. According to the results, the posttest academic achievement and Motivation Resources and Problems Scale mean scores of the students in the intervention group were significantly higher than those of the control group ( P < .05). In the analysis of the qualitative, three main themes emerged: We felt fortunate that it increased information retention," "We felt like we were in real practice environment," and "It made us feel that we were nurses." The results showed the use of video-based simulation can be suggested as a strategy to promote classroom teaching and engage students.

Patients with head and neck cancer undergoing radiotherapy encounter physical and psychosocial challenges, indicating unmet needs. Mobile health technology can potentially support patients. This single-armed feasibility study included 30 patients with head and neck cancer undergoing radiotherapy. Patients were asked to use the Health Enjoy System, a mobile health support system that provides a disease-related resource for 1 week. We assessed the usability of the system and its limited efficacy in meeting patients' health information needs. The result showed that the system was well received by patients and effectively met their health information needs. They also reported free comments on the system's content, backend maintenance, and user engagement. This study supplies a foundation for further research to explore the potential benefits of the Health Enjoy System in supporting patients with head and neck cancer.

As a result of rapid advancements in health information technology, uploading health-related information and records onto an electronic health record system has become a common practice. Photographs of patients' wounds have been uploaded electronically, but widespread acceptance by nurses has been prevented owing to issues such as file size and equipment. This research explores the attitude and satisfaction toward using an electronic health record for uploading wound photos. Through the integration of the Technology Acceptance Model, Information System Success Model, and other study results, this research aims to explore the impact of the following variables: system quality, information quality, perceived usefulness, perceived ease of use, user attitude, user satisfaction, and net benefits. We also tested nurses' understanding regarding the process of taking photographs and explored the photograph quality and the photography uploading rates. The results revealed that users were satisfied with the wound-photography system, but some believed that the system stability, processing time, and image resolution should be improved. In addition, more than 80% of the nurses correctly answered photo-taking questions, the study photos reached 70% of the quality standards, and the average uploading rate was 74%. The results could serve as guidelines for system design in the future.

This study aimed to develop a Monte Carlo simulation model to forecast the number of ICU beds needed for COVID-19 patients and the subsequent nursing complexity in a French teaching hospital during the first and second pandemic outbreaks. The model used patient data from March 2020 to September 2021, including age, sex, ICU length of stay, and number of patients on mechanical ventilation or extracorporeal membrane oxygenation. Nursing complexity was assessed using a simple scale with three levels based on patient status. The simulation was performed 1000 times to generate a scenario, and the mean outcome was compared with the observed outcome. The model also allowed for a 7-day forecast of ICU occupancy. The simulation output had a good fit with the actual data, with an R2 of 0.998 and a root mean square error of 0.22. The study demonstrated the usefulness of the Monte Carlo simulation model for predicting the demand for ICU beds and could help optimize resource allocation during a pandemic. The model's extrinsic validity was confirmed using open data from the French Public Health Authority. This study provides a valuable tool for healthcare systems to anticipate and manage surges in ICU demand during pandemics.

Telehealth appointments in the healthcare sector have increased since the COVID-19 pandemic, increasing patients' access to services. However, research exploring nurse perceptions of implemented telehealth services in the community sector is limited. Within the context of quality improvement, the current study aimed to understand child health nurses' acceptance and use of a novel telehealth platform using mixed methods. A total of 38 child health nurses completed an online survey that included multiple-choice questions based on an expanded Technology Acceptance Model and open-ended questions exploring barriers and facilitators to use. Results demonstrated that despite 70% of nurse users having completed less than three sessions with parents, perception and acceptance scores were high. Overall, 85% of variance in satisfaction with the platform and 46% of variance in intention to use the platform were predicted by perception scores. Three consistent themes generated from data were facilitators for use and five as barriers, which provided further understanding to findings. To ensure telehealth is adapted into routine clinical care, facilitators and barriers for implementation need to be identified and addressed. Nurses need to be engaged in implementation and ongoing maintenance to ensure the uptake and optimal use of technology within nursing care.