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1.
Advances in Simulation ; 6(1):13-13, 2021.
Article in English | BioMed Central | ID: covidwho-1191095

ABSTRACT

An amendment to this paper has been published and can be accessed via the original article.

2.
Clin Simul Nurs ; 57: 3-13, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1083573

ABSTRACT

Background: The Alberta Health Services' Provincial Simulation Program (eSIM) is Canada's largest simulation program. The eSIM mobile simulation program specializes in delivering simulation-based education (SBE) to rural and remote communities (RRC). During the COVID-19 pandemic, a quality improvement project involving rapid cycle in situ virtually facilitated simulation (VFS) for COVID-19 airway management and health systems preparedness in RRC was successfully implemented. Methods: Between April 24 and July 31, 2020, a team of six rural simulationists (four nurses and two physicians) provided 24 VFS sessions with virtual debriefing to 200 health care providers distributed across 11 RRC in Alberta and the Northwest Territories, covering a geographic area of approximately 169,028 km2. Results: Video analysis of sequential VFS rapid cycle sessions using a standardized observational tool indicated decreased personal protective equipment (PPE) breaches by 36.6% between the first and third cycles. Teams demonstrated increased competency with airway management such as correct use of bag-valve-mask ventilation, and implementation of health system process improvements, such as incorporation of an intubation checklist. Improvements occurred on average over 2.2 rapid cycles completed within 1.3 weeks per RRC. Postsession self-reported participant electronic surveys indicated self-reported improvement in clinical management, teamwork behavior, and health systems issues outcome measures which were categorized based on the Crisis Resource Management and Systems Engineering Initiative for Patient Safety (SEIPS) frameworks. Of the 48 survey respondents, 86.1% reported that VFS was equivalent or superior to in-person simulation. The cost of VFS was 62.9% lower than comparable in-person SBE. Conclusion: VFS provides a rapidly mobilizable and cost-effective way of delivering high-quality SBE to geographically isolated communities.

3.
Adv Simul (Lond) ; 5: 22, 2020.
Article in English | MEDLINE | ID: covidwho-719622

ABSTRACT

Healthcare resources have been strained to previously unforeseeable limits as a result of the COVID-19 pandemic of 2020. This has prompted the emergence of critical just-in-time COVID-19 education, including rapid simulation preparedness, evaluation and training across all healthcare sectors. Simulation has been proven to be pivotal for both healthcare provider learning and systems integration in the context of testing and integrating new processes, workflows, and rapid changes to practice (e.g., new cognitive aids, checklists, protocols) and changes to the delivery of clinical care. The individual, team, and systems learnings generated from proactive simulation training is occurring at unprecedented volume and speed in our healthcare system. Establishing a clear process to collect and report simulation outcomes has never been more important for staff and patient safety to reduce preventable harm. Our provincial simulation program in the province of Alberta, Canada (population = 4.37 million; geographic area = 661,848 km2), has rapidly responded to this need by leading the intake, design, development, planning, and co-facilitation of over 400 acute care simulations across our province in both urban and rural Emergency Departments, Intensive Care Units, Operating Rooms, Labor and Delivery Units, Urgent Care Centers, Diagnostic Imaging and In-patient Units over a 5-week period to an estimated 30,000 learners of real frontline team members. Unfortunately, the speed at which the COVID-19 pandemic has emerged in Canada may prevent healthcare sectors in both urban and rural settings to have an opportunity for healthcare teams to participate in just-in-time in situ simulation-based learning prior to a potential surge of COVID-19 patients. Our coordinated approach and infrastructure have enabled organizational learnings and the ability to theme and categorize a mass volume of simulation outcome data, primarily from acute care settings to help all sectors further anticipate and plan. The goal of this paper is to share the unique features and advantages of using a centralized provincial simulation response team, preparedness using learning and systems integration methods, and to share the highest risk and highest frequency outcomes from analyzing a mass volume of COVID-19 simulation data across the largest health authority in Canada.

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