Evidence map›Paper›PMID 39160814›Full record

ArticleMilitary medicine2024

Nontechnical Skills Assessment in Acute Care Trauma Simulations: A Mixed Methods Approach Using Eye Tracking and Behavioral Marker Systems.

Nicholas E Anton, Marian Obuseh, Chiho Lim, Haozhi Chen, Jing Yang, Dimitrios Stefanidis, Denny Yu

Abstract read
In one paragraph

Article in Military medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nicholas E AntonDepartment of Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Marian ObusehSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.
Chiho LimSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.
Haozhi ChenSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.
Jing YangDepartment of Industrial and Systems Engineering, University of Buffalo, Buffalo, NY 14260, USA.
Dimitrios StefanidisDepartment of Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Denny YuSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-5083-1713

Funding

Wearable sensors for modeling and assessing nontechnical skills in surgeryR01HS028026 · AHRQ · PURDUE UNIVERSITY · PI STEFANIDIS, DIMITRIOS, YU, DENNY · 2022 to 2025
$1.6M
AHRQ HHS 11001301AHRQ HHS R01 HS028026
6 · The paper itself

Abstract

introductionThe condition of trauma patients and the urgent need for timely resuscitation present unique challenges to trauma teams. These difficulties are exacerbated for military trauma teams in combat environments. Consequently, there is a need for continued improvement of nontechnical skills (NTS) training for trauma teams. However, current approaches to NTS assessment rely on subjective ratings, which can introduce bias. Accordingly, objective methods of NTS evaluation are needed. Eye-tracking (ET) methods have been applied to studying communication, situation awareness, and leadership in many health care settings, and could be applied to studying physicians' NTS during trauma situations. In this study, we aimed to assess the relationship between trauma team leaders' objective gaze patterns and subjective expert NTS ratings during patient care simulations. MATERIALS AND

methodsAfter Institutional Review Board approval, 9 trauma teams from first-year post-graduate general surgery and emergency medicine residents were recruited to participate in 1 of 2 trauma simulations (a difficult airway case and a multi-patient trauma). Each scenario lasted approximately 15 minutes. All team leaders wore a mobile ET system to evaluate gaze metrics-time to first fixation (TTFF), average fixation duration (AFD), and total percentage of the scenario (TPS) focused on Areas of Interest (AOI), which included patient, care team, diagnostic equipment, and patient care equipment. Trained faculty raters completed the Non-Technical Skills for Surgeons (NOTSS) assessment tool and the Trauma Non-Technical Skills (T-NOTECHS) scale. One-way analysis of variance, Kruskal-Wallis, and appropriate post-hoc pairwise comparison tests were run to assess differences between ET metrics across AOI groups. Spearman's Rho tests were used to assess correlations between ET and subjective NTS ratings.

resultsCompared to other NTS domains, trauma teams scored relatively poorly on communication across both T-NOTECHS (3.29$ \pm $0.61, maximum = 5) and NOTSS (2.87$ \pm $0.66, maximum = 4). We found significant differences in trauma team leaders' TTFF between teammates and the patient (Team: 1.56 vs Patient: 29.82 seconds, P < .001). TTFF on the diagnostic equipment was negatively correlated (P < .05) to multiple measures of subjective NTS assessments. There were no significant differences in AFD between AOIs, and AFD on teammates was positively correlated (P < .05) to communication and teamwork. There were significant differences in TPS across most AOI pairs (P < .05), and the average TPS fixated was highest on the patient (32%). Finally, there were several significant correlations between additional ET and NTS metrics.

conclusionsThis study utilized a mixed methods approach to assess trauma team leaders' NTS in simulated acute care trauma simulations. Our results provide several objective insights into trauma team leaders' NTS behaviors during patient care simulations. Such objective insights provide a more comprehensive understanding of NTS behaviors and can be leveraged to guide NTS training of trauma physicians in the future. More studies are needed to apply these methods to capture NTS from a larger sample of teams in both simulated and real trauma environments.

Indexed as

Clinical CompetenceEye-Tracking TechnologyAdultFemaleHumansLeadershipMalePatient Care TeamPatient SimulationSimulation TrainingWounds and Injuries

Identifiers

PMID39160814
PMCPMC11368209

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.