November 21, 2018By Lance Baily

November’s Simulation Research Highlights From International Journals

Today we are highlighting the latest research articles published for November so far from Simulation in Healthcare from leading organization’s around the world. Did you know that there are now four major publications for healthcare simulation research? The Association for Simulated Practice in Healthcare‘s Journal with BMJ “Simulation & Technology Enhanced Learning”, the Society in Europe for Simulation Applied to Medicine’s “Advances in Simulation” Journal, the INACSL‘s “Clinical Simulation in Nursing” and of course the SSiH‘s Simulation in Healthcare Journal (November edition not yet available). Below we highlight the latest November research for medical simulation!

ASPiH UK’s BMJ Simulation & Technology Enhanced Learning:

Virtual patient educational intervention for the development of shared decision-making skills: a pilot study – Simon Jacklin et al: Shared decision-making (SDM) involves a healthcare professional and a patient forming a congruent partnership, within which information is shared and decisions are made which align with the patient’s values. SDM does not occur to the extent it ought to; SDM requires practice. Virtual reality could help facilitate this practice. The VP was found to be enjoyable and thought-provoking. The data suggest that this type of intervention could be useful at many different stages of a professional’s career although the multiple-choice conversation style may be too restrictive for more experienced consulters.

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Using clinical simulation to study how to improve quality and safety in healthcare – Guillaume Lamé, et al: Simulation can offer researchers access to events that can otherwise not be directly observed, and in a safe and controlled environment. How to use simulation for the study of how to improve the quality and safety of healthcare remains underexplored, however. We offer an overview of simulation-based research (SBR) in this context. Building on theory and examples, we show how SBR can be deployed and which study designs it may support. We discuss the challenges of simulation for healthcare improvement research and how they can be tackled. We conclude that using simulation in the study of healthcare improvement is a promising approach that could usefully complement established research methods. Simulation has the potential to become a useful addition to improvement researchers’ methodological toolkits. The main value simulation can bring to improvement research is by helping collect data on phenomena that researchers can hardly observe. In this way, simulation can help describe individual and organisational behaviour, generate theory and evaluate improvement interventions.

SESAM‘s Advances in Simulation, November Article:

Is that realistic? The development of a realism assessment questionnaire and its application in appraising three simulators for a gynaecology procedure – Erin WILSON, et al: There is no standard approach to determining the realism of a simulator, valuable information when planning simulation training. The aim of this research was to design a generic simulator realism questionnaire and investigate the contributions of different elements of simulator design to a user’s impression of simulator realism and performance. The designed questionnaire was able to discriminate between the models for perceived simulator realism. Findings from this study may assist simulator design and inform future development of a generic questionnaire for assessing user perceptions of simulator realism.

INACSL’s Clinical Simulation in Nursing Journal, November 2018 Edition:

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Factors Influencing Nursing Students’ Flow Experience during Simulation-Based Learning – Jee-Hye Yoo et al: Being in a flow state during simulation-based education enables students to achieve successful learning by concentrating on their activities. To increase the effectiveness of learning, educators should consider factors that influence the flow experience when designing simulation learning environments.

Examining Interruptions in the Operating Room Using Simulation – Rattima Sirihorachai et al: Several patient safety organizations have acknowledged that interruptions may be a contributing factor in medical error. Studies examining individual cognitive reactions to interruptions are lacking, which hinders the development of effective interventions to reduce interruptions. This study showed that there were frequent distractions and interruptions during critical tasks in the operating room. It also supports the use of high-fidelity simulation as a tool to examine circulating nurses’ decision-making in management of distractions.

In Situ Simulation to Improve Management of In-Hospital Strokes: Unexpected Challenges – Sarah Rollison et al: In-hospital strokes are life-threatening emergencies that require prompt and skillful treatment to prevent poor patient outcomes. Currently, however, a national gap in care exists for patients who experience an in-hospital stroke. This discussion focuses on the challenges and benefits of ISS mock in-hospital stroke codes, as well as of alternative methods for improving the management of acute in-hospital strokes.

Assessing Individual Teamwork Skills in Entry-Level Nurses – Marie Gilbert, et al: The Team Behavior Assessment Tool for Entry Level Nurses (TBAT-ELN) was developed to assess essential individual teamwork skills in an entry-level nurse. The newly created tool required investigation to determine reliability and validity. The TBAT-ELN, with either a frequency scale or quality scale, is a meaningful way to evaluate the individual teamwork skills of nursing students and new graduate nurses.

Effect of Expert Role Modeling on Skill Performance in Simulation – Melissa Jarvill, et al: Infection prevention is a priority in health care, so nursing student competence in clinical skills such as sterile technique is critical to ensure patient safety. Use of an expert role modeling video during prebriefing is an effective teaching strategy to improve nursing student skill performance in simulation.

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