EAST multicenter trial of simulation-based team training for pediatric trauma: Resuscitation task completion is highly variable during simulated traumatic brain injury resuscitation

Jensen, Aaron R.; Bullaro, Francesca; Falcone, Richard A.; Daugherty, Margot; Young, L. Caulette; McLaughlin, Cory; Park, Caron; Lane, Christianne J.; Prince, José M.; Scherzer, Daniel; Maa, Tensing; Dunn, Julie; Wining, Laura; Hess, Joseph; Santos, Mary C.; O’Neill, James C.; Katz, Eric; O’Bosky, Karen R.; Young, Timothy P.; Christison‐Lagay, Emily R.; Ahmed, Omar; Burd, Randall S.; Auerbach, Marc

doi:10.1016/j.amjsurg.2019.07.037

Cited by 7 publications

(9 citation statements)

References 25 publications

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“…Capella et al 20 found that improved Trauma Team Performance Observation Tool scores after training were associated with decreased time from arrival to computed tomography scanner, endotracheal intubation, and the operating room. Jensen et al 29 similarly found that improved T-NOTECHS scores were associated with faster time to computed tomography notification. A study conducted by Pucher et al 35 found that higher T-NOTECHS scores were associated with decreases in disposition time.…”

Section: Discussionmentioning

confidence: 97%

“…-Weighted κ = 0.4 19 -ICC = 0.77 29 -Small groups, ICC = 0.60; Large groups, ICC = 0.29 31 -"After first 90 sims ICC: 0.30; after all sims ICC: 0.41; self-assessment and 2 raters' assessment were in good agreement" 37 -ICC = 0.44 for simulations; ICC = 0.48 for actual trauma resuscitations; ICC = 0.71 for video review of actual trauma resuscitations 4 -ICC = 0.48 38 -ICC = 0.63 40 -ICC = 0.73; Cohen κ = 0.70 41 -"ICC (between experts): 0.57; ICC (between self-assessors): 0.56; Weighted κ for individual domains ranged from 0.10-0.48 (experts) and 0.10-0.31 (self-assessment)" 43 -Nurses achieved the standard of 0.80 in 4 of 6 measurements; surgeon rater's results 0.51 and 0.52 36 Cross-sectional construct:…”

Section: ✓ ✓mentioning

confidence: 99%

“…-Higher T-NOTECHS scores associated with faster time to CT notification 29 -Significant difference between expert rating and TA and CRN for large teams; significant correlations in small groups between E and TA, and E and CRN 31 -Inverse relationship with NTS and time to disposition; only significant independent factor of delays was NTS 35 -T-NOTECHS correlated with better performance and completion of resuscitation tasks 4…”

Section: ✓ ✓mentioning

confidence: 99%

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A scoping review of nontechnical skill assessment tools to evaluate trauma team performance

Bhangu

Stevenson

Szulewski

et al. 2021

J Trauma Acute Care Surg

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BACKGROUND:The objective of this scoping review was to identify assessment tools of trauma team performance (outside of technical skills) and assess the validity and reliability of each tool in assessing trauma team performance. METHODS:We searched Embase, Cochrane Library, Web of Science, Ovid Medline, and Cumulative Index to Nursing and Allied Health Literature from inception to June 1, 2021. English studies that evaluated trauma team performance using nontechnical skill assessment tools in a simulation or real-world setting were included. Studies were assessed by two independent reviewers for meeting inclusion/exclusion criteria. Data regarding team assessment tools were extracted and synthesized into behavior domains. Each tool was then assessed for validity and reliability. RESULTS:The literature search returned 4,215 articles with 29 meeting inclusion criteria. Our search identified 12 trauma team performance assessment tools. Most studies were conducted in the United States (n = 20 [69%]). Twenty studies (69%) assessed trauma team performance in a simulation setting; Team Emergency Assessment Measure (TEAM) and Trauma Nontechnical Skills Scale (T-NOTECHS) were the only tools to be applied in a simulation and real-world setting. Most studies assessed trauma team performance using video review technology (n = 17 [59%]). Five overarching themes were designed to encompass behavioral domains captured across the 12 tools: (1) Leadership, (2) Communication, (3) Teamwork, (4) Assessment, and (5) Situation Awareness. The reliability and validity of T-NOTECHS were investigated by the greatest number of studies (n = 13); however, TEAM had the most robust evidence of reliability and validity. CONCLUSION:We identified 12 trauma team performance tools that assessed nontechnical skills to varying degrees. Trauma Nontechnical Skills Scale and TEAM tools had the most evidence to support their reliability and validity. Considering the limited research in the impact of trauma team performance on patient outcomes, future studies could use video review technology in authentic trauma cases to further study this important relationship.

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Section: Discussionmentioning

confidence: 97%

Section: ✓ ✓mentioning

confidence: 99%

Section: ✓ ✓mentioning

confidence: 99%

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A scoping review of nontechnical skill assessment tools to evaluate trauma team performance

Bhangu

Stevenson

Szulewski

et al. 2021

J Trauma Acute Care Surg

View full text Add to dashboard Cite

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“…The main treat considering healthcare services is the overflowing problem in ED (Richardson and Hwang 2001;Trzeciak and Rivers 2003). In developed nations, overflowing orders urgent awareness as fast aging societies escalate the utilization of ED (Forero et al 2019;Jensen et al 2020), which exerts an important impact on patient safety and could decrease the possibilities of survival of critical patients in definite situations because of the long waiting time. Consequently, long patient and throughput time adversely results the whole national healthcare system and its capability to prepare minimum service in any country (Searle et al 2015;Trzeciak and Rivers 2003).…”

Section: Hospitals and Emergency Departments During Covid-19mentioning

confidence: 99%

Improving emergency departments during COVID-19 pandemic: a simulation and MCDM approach with MARCOS methodology in an uncertain environment

2022

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The coronavirus disease (COVID-19) pandemic forced healthcare systems to quickly modify to swapping healthcare essentials. The emergency department (ED) decision-making condition is complex and particularly unstable order for care in a stated period conducts decision-makers to attempt to alter assets to touch the demand. ED managers are generally enforced to discover strategies and improving scenarios for decreasing transfer of patients. For this end, the proposed framework of this study is first developed to integrate the simulation model of the flow process of the COVID-19 patients with the Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) methodology in Spherical fuzzy context to assess and prioritize scenarios based on desired performance measures. As a contribution, the proposed framework determined the importance of the performance measures based on Spherical fuzzy sets. The proposed SF-MARCOS approach takes the performance measures weights from the expert's team based on spherical fuzzy theory and the performance measures values from the simulation model, and rank the improving scenarios. Finally, a real-life study in a private hospital in Tehran, Iran, illustrates the effectiveness and feasibility of the proposed framework. The analysis of the results shows that the patients' transfer rate can be reduced by applying new strategies with sensible expenditure.

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“…The main concern regarding healthcare services is the issue of overcrowding in ED, which has been thoroughly studied [30,31]. In developed nations, overcrowding demands urgent attention as rapidly aging societies intensify the use of ED [32,33], which exerts a significant effect on patient safety and could reduce the chances of survival of critical patients in certain situations due to the long waiting time and LoS. Long waiting time and LoS lead to long patient throughput time.…”

Section: Related Workmentioning

confidence: 99%

SIM-PFED: A Simulation-Based Decision Making Model of Patient Flow for Improving Patient Throughput Time in Emergency Department

2021

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Healthcare sectors face multiple threats, and the hospital emergency department (ED) is one of the most crucial hospital areas. ED plays a key role in promoting hospitals' goals of enhancing service efficiency. ED is a complex system due to the stochastic behavior of patient arrivals, the unpredictability of the care required by patients, and the department's complex nature. Simulations are effective tools for analyzing and optimizing complex ED operations. Although existing ED simulation models have substantially improved ED performance in terms of ensuring patient satisfaction and effective treatment services, many deficiencies continue to exist in addressing the key challenge in ED, namely, long patient throughput time. The patient throughput time issue is affected by causative factors, such as waiting time, length of stay, and decision-making. This research aims to develop a new simulation model of patient flow for ED (SIM-PFED) to address the reported key challenge of the patient throughput time. SIM-PFED introduces a new process for patient flow in ED on the basis of the newly proposed operational patient flow by combining discrete event simulation and agent-based simulation and applying a multi-attribute decisionmaking method, namely, the technique for order preference by similarity to the ideal solution. Experiments were performed on three actual hospital ED datasets to assess the effectiveness of SIM-PFED. Experimental results revealed the superiority of SIM-PFED over other alternative models in reducing patient throughput time in ED by consuming less patient waiting time and having a shorter length of stay. The findings also demonstrated the effectiveness of SIM-PFED in helping ED decision-makers select the best scenarios to be implemented in ED for ensuring minimal throughput time while being cost effective.

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EAST multicenter trial of simulation-based team training for pediatric trauma: Resuscitation task completion is highly variable during simulated traumatic brain injury resuscitation

Cited by 7 publications

References 25 publications

A scoping review of nontechnical skill assessment tools to evaluate trauma team performance

A scoping review of nontechnical skill assessment tools to evaluate trauma team performance

Improving emergency departments during COVID-19 pandemic: a simulation and MCDM approach with MARCOS methodology in an uncertain environment

SIM-PFED: A Simulation-Based Decision Making Model of Patient Flow for Improving Patient Throughput Time in Emergency Department

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