scholarly journals Improving the Use of Simulation in Nursing Education: Protocol for a Realist Review

10.2196/16363 ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. e16363
Author(s):  
Torbjørg Træland Meum ◽  
Åshild Slettebø ◽  
Mariann Fossum

Background Nursing education has evolved in line with societal needs, and simulation-based learning (SBL) is increasingly being used to bridge the gap between practice and education. Previous literature reviews have demonstrated the effectiveness of using SBL in nursing education. However, there is a need to explore how and why it works to expand the theoretical foundation of SBL. Objective This review aims to understand how, why, and in what circumstances the use of simulation affects learning as part of the bachelor’s program in nursing. Methods A realist review will be conducted in accordance with the realist template for a systematic review. In particular, we will identify and explore the underlying assumption of how SBL is supposed to work, that is, identify and explore program theories of SBL. The review will be carried out as an iterative process of searching, appraising, and synthesizing the evidence to uncover theoretical concepts that explain the causal effects of SBL. In the final section of the review, we will involve stakeholders in the Norwegian community in a web-based Delphi survey to ensure that the emerging theoretical framework derived from the published literature aligns with stakeholders’ experience in practice. Results We have performed an initial literature search, whereas quality appraisal and data extraction are ongoing processes. Conclusions The Norwegian Centre for Research Data (project number 60415) has approved the study. The final outcome of the review is anticipated to extend the theoretical foundation for using simulation as an integrated component of the bachelor’s program in nursing. Furthermore, the findings will be used to produce a briefing document containing guidance for national stakeholders in the community of simulation-based nursing education. Finally, the review findings will be disseminated in a peer-reviewed journal as well as national and international conferences. International Registered Report Identifier (IRRID) DERR1-10.2196/16363

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Viola Janse van Vuuren ◽  
Eunice Seekoe ◽  
Daniel Ter Goon

Although nurse educators are aware of the advantages of simulation-based training, some still feel uncomfortable to use technology or lack the motivation to learn how to use the technology. The aging population of nurse educators causes frustration and anxiety. They struggle with how to include these tools particularly in the light of faculty shortages. Nursing education programmes are increasingly adopting simulation in both undergraduate and graduate curricula. The aim of this study was to determine the perceptions of nurse educators regarding the use of high fidelity simulation (HFS) in nursing education at a South African private nursing college. A national survey of nurse educators and clinical training specialists was completed with 118 participants; however, only 79 completed the survey. The findings indicate that everyone is at the same level as far as technology readiness is concerned, however, it does not play a significant role in the use of HFS. These findings support the educators’ need for training to adequately prepare them to use simulation equipment. There is a need for further research to determine what other factors play a role in the use of HFS; and if the benefits of HFS are superior to other teaching strategies warranting the time and financial commitment. The findings of this study can be used as guidelines for other institutions to prepare their teaching staff in the use of HFS.


Author(s):  
Jummi Park ◽  
Nayeon Shin

Online-based infertility education provides a health management system to patients using electronic information and technology and no face-to-face interaction with patients and experts. This is a study to develop a web-based integrated support service system to meet the health care and nursing needs of infertile women. To develop a system that is most suitable and practically helpful to infertile women, who are end users of this system, research was conducted. This education system consists of introduction to women’s health care, information on women’s health, information on organizations for women, community for infertile women, and request for consultation for health management and nursing education of infertile women. This study introduced and applied a user-centered design that maximizes the value of use by first understanding the user’s convenience and needs when developing a program.


Author(s):  
Ujin Lee ◽  
Heeseung Choi ◽  
Yeseul Jeon

Simulation-based communication education has improved nursing students’ communication knowledge and skills. However, communication patterns that students commonly exhibit in simulated situations and students’ responses to specific clinical situations have not been systematically examined. The specific aims of the present study were (1) to identify non-therapeutic communication patterns that nursing students exhibit in simulated situations in the computer simulation-based education (ComEd) program, and (2) explore students’ responses to challenging clinical situations. This study used a mixed-method research design and a convenience sampling method to recruit participants. Frequency analysis and a conventional content analysis method were used to analyze answers provided by participants. A total of 66 students from four Korean nursing schools participated in the study. “False reassurance” was found to be the most common non-therapeutic communication pattern used by nursing students. Nursing students had difficulty in clinical situations such as reporting a patient’s condition to a doctor, communicating with a patient and perform basic nursing skills at the same time, and managing conflicts between patients. Technology-based communication simulation programs, which reflect various clinical situations, are considered a new alternative that can supplement the limitations of clinical practicum and improve the quality of nursing education.


2020 ◽  
pp. 5-9
Author(s):  
Manasvi Srivastava ◽  
◽  
Vikas Yadav ◽  
Swati Singh ◽  
◽  
...  

The Internet is the largest source of information created by humanity. It contains a variety of materials available in various formats such as text, audio, video and much more. In all web scraping is one way. It is a set of strategies here in which we get information from the website instead of copying the data manually. Many Web-based data extraction methods are designed to solve specific problems and work on ad-hoc domains. Various tools and technologies have been developed to facilitate Web Scraping. Unfortunately, the appropriateness and ethics of using these Web Scraping tools are often overlooked. There are hundreds of web scraping software available today, most of them designed for Java, Python and Ruby. There is also open source software and commercial software. Web-based software such as YahooPipes, Google Web Scrapers and Firefox extensions for Outwit are the best tools for beginners in web cutting. Web extraction is basically used to cut this manual extraction and editing process and provide an easy and better way to collect data from a web page and convert it into the desired format and save it to a local or archive directory. In this paper, among others the kind of scrub, we focus on those techniques that extract the content of a Web page. In particular, we use scrubbing techniques for a variety of diseases with their own symptoms and precautions.


Author(s):  
D. Polhamus ◽  
J. Kang ◽  
J. Rogers ◽  
M. Gastonguay

Clinical trials for Alzheimer’s Disease (AD) are necessarily designed in the presence of substantial quantitative uncertainty. Certain important aspects of this uncertainty can be mitigated by developing longitudinal models for AD progression and by using these models to simulate virtual trials and estimate operating characteristics (such as statistical power, the probability of stopping at an interim analysis, the probability of identifying the correct dose, etc.) as a function of candidate design features, such as inclusion / exclusion criteria. In this brief report we describe the development and deployment of a customized software solution that allows such simulation-based results to be generated “on the fly” in the context of a drug development team meeting. This solution leverages a number of recent practical advances in statistical and scientific computing that could be much more broadly leveraged to assure more quantitatively grounded trial designs in Alzheimer’s Disease.


2020 ◽  
pp. bmjstel-2019-000576
Author(s):  
David B Clarke ◽  
Alena I Galilee ◽  
Nelofar Kureshi ◽  
Murray Hong ◽  
Lynne Fenerty ◽  
...  

IntroductionPrevious studies have shown that simulation is an acceptable method of training in nursing education. The objectives of this study were to determine the effectiveness of tablet-based simulation in learning neurosurgical instruments and to assess whether skills learnt in the simulation environment are transferred to a real clinical task and retained over time.MethodsA randomised controlled trial was conducted. Perioperative nurses completed three consecutive sessions of a simulation. Group A performed simulation tasks prior to identifying real instruments, whereas Group B (control group) was asked to identify real instruments prior to the simulation tasks. Both groups were reassessed for knowledge recall after 1 week.ResultsNinety-three nurses completed the study. Participants in Group A, who had received tablet-based simulation, were 23% quicker in identifying real instruments and did so with better accuracy (93.2% vs 80.6%, p<0.0001) than Group B. Furthermore, the simulation-based learning was retained at 7 days with 97.8% correct instrument recognition in Group A and 96.2% in Group B while maintaining both speed and accuracy.ConclusionThis is the first study to assess the effectiveness of tablet-based simulation training for instrument recognition by perioperative nurses. Our results demonstrate that instrument knowledge acquired through tablet-based simulation training results in improved identification and retained recognition of real instruments.


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