Articles: checklist.
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Health guidelines are a key knowledge translation tool produced and used by numerous stakeholders worldwide. Effective participation in guideline development groups or development groups is crucial for guideline success, yet little guidance exists for members of these groups. In this study, we present the Guideline Participant Tool (GPT) to support effective participation in guideline groups, in particular those using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach. ⋯ The GPT contains helpful guidance for all guideline participants, particularly those without previous guideline experience. Future research should further explore the need for additional tools to support guideline participants and identify and develop strategies for improving guideline members' participation in guideline groups. This work will be incorporated into INGUIDE.org guideline training and credentialing efforts by the Guidelines International Network and McMaster University.
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Simulation-based mastery learning (SBML) improves skill transfer to humans. However, limited data exist to support the practice of performing additional training attempts once mastery has been achieved. We explored whether implementing this concept in an SBML model improves skill transfer in ultrasound-guided peripheral intravenous (USGPIV) catheter placement from simulator to humans. ⋯ In this sample of novices, we were unable to show that up to 8 additional mastery level performances of USGPIV placement on a simulator following SBML training improve skill transfer for both USGPIV placement success and total checklist performance.
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The application of artificial intelligence (AI) in healthcare is an area of immense interest. The high profile of 'AI in health' means that there are unusually strong drivers to accelerate the introduction and implementation of innovative AI interventions, which may not be supported by the available evidence, and for which the usual systems of appraisal may not yet be sufficient. ⋯ The SPIRIT-AI and CONSORT-AI guidelines provide the first international standards for clinical trials of AI systems. The guidelines are designed to ensure complete and transparent reporting of clinical trial protocols and reports involving AI interventions and have the potential to improve the quality of these clinical trials through improvements in their design and delivery. Their use will help to efficiently identify the safest and most effective AI interventions and commission them with confidence for the benefit of patients and the public.
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The high frequency of aerosolizing procedures in the ICU, including endotracheal intubation, places clinical staff at elevated risk of contracting the 2019 coronavirus (COVID-19). Use of an intubation checklist can reduce exposure risk and thus acts as a potential safeguard. Specific, step-by-step guidance to perform safe endotracheal intubation in the setting of COVID-19 are limited. This article outlines the development and refinement of a COVID-19 intubation checklist and operational protocol for ICU staff at a single center in the United States. ⋯ We present a checklist for use during high-risk intubations of COVID-19 patients, which serves as a pragmatic bedside tool for clinicians. The process of checklist development may also serve as a model for facilities preparing their own pandemic protocols.
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Pediatric emergency care · Jan 2021
The Impact of a Displayed Checklist on Simulated Pediatric Trauma Resuscitations.
Advanced Trauma Life Support resuscitation follows a strict protocolized approach to the initial trauma evaluation. Despite this structure, elements of the primary and secondary assessments can still be omitted. The aim of this study is to determine if a cognitive aid checklist reduces omissions and speeds the time to assessment completion. We additionally investigated if a displayed checklist improved performance further. ⋯ Despite a structured approach to trauma resuscitations, omissions still occur. The use of a displayed checklist improves performance and reduces omissions without delaying assessment. Better compliance with Advanced Trauma Life Support protocols may improve patient outcomes.