Articles: checklist.
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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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Review Meta Analysis
Diagnostic accuracy of the CAM-ICU and ICDSC in detecting intensive care unit delirium: A bivariate meta-analysis.
Delirium is a critical and highly prevalent problem among critically ill patients. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and the Intensive Care Delirium Screening Checklist (ICDSC) are the most recommended assessment tools for detecting intensive care unit (ICU) delirium. ⋯ Although both the CAM-ICU and the ICDSC are accurate assessment tools for screening delirium in critically ill patients, the CAM-ICU is superior in ruling out patients without ICU delirium and detecting delirium in patients in the medical ICU and those receiving mechanical ventilation. Further investigations are warranted to validate our findings. The study protocol is registered at PROSPERO (CRD42020133544).
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Anesthesia and analgesia · Jan 2021
Adaptation of an Obstetric Anesthesia Service for the Severe Acute Respiratory Syndrome Coronavirus-2 Pandemic: Description of Checklists, Workflows, and Development Tools.
Care of the pregnant patient during the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic presents many challenges, including creating parallel workflows for infected and noninfected patients, minimizing waste of materials, and ensuring that clinicians can seamlessly transition between types of anesthesia. The exponential community spread of disease limited the time for development and training. ⋯ Collectively, these workflows and tools allowed our staff to urgently care for patients in high-risk situations without prior experience. Over time, we refined the workflows using a cyclical improvement system. We present our checklists and workflows as well as the system we used for their development, so that others may use them to their benefit.
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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.