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Modeling variation of clinical team processes with multiple sequence alignment.

Nathan J Bahr1, S Herzberg2, W Lambert3

  • 1Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.

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|April 25, 2022
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Summary
This summary is machine-generated.

Analyzing Emergency Medical Service (EMS) teams in pediatric emergencies revealed task sequence variations. While overall similarity was high, specific prioritization differences may impact clinical outcomes, suggesting a need for refined performance analysis.

Keywords:
Clinical practice patterns/guidelines/resource use/evidence-based practiceambulatory/outpatient careobservational data/quasi-experimentsquality of care/patient safety (measurement)

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Area of Science:

  • Emergency Medicine
  • Process Analysis
  • Performance Quality Assessment

Background:

  • Emergency Medical Service (EMS) teams face complex pediatric emergencies.
  • Understanding process variation in EMS response is crucial for improving patient outcomes.
  • Standardized simulations offer a controlled environment to study team performance.

Purpose of the Study:

  • To model process variation in EMS teams during simulated pediatric emergencies.
  • To determine if sequence alignment analysis can distinguish between high- and low-performing teams.
  • To identify specific task prioritization differences impacting clinical performance.

Main Methods:

  • Retrospective process analysis of 42 EMS teams using video recordings of standardized simulations.
  • Coding of resuscitation tasks, performer, and timing.
  • Sequence alignment using ClustalG to measure task sequence similarity within and between performance groups.
  • Classification of teams into high- or low-performing based on the Clinical Teamwork Scale™.

Main Results:

  • Average sequence similarity was 52 ± 7% within performance levels and 50 ± 7% between levels.
  • No statistically significant difference in gross task sequence similarity was found between high- and low-performing groups.
  • Clinically appropriate tasks were performed, but with variations in prioritization (e.g., timing of compressions or EKG connection).

Conclusions:

  • Gross task sequence similarity does not reliably distinguish between high- and low-performing EMS teams in pediatric emergencies.
  • Specific differences in task prioritization, despite overall sequence similarity, may have clinically significant implications.
  • Future alignment methods should consider task duration and concurrency for more nuanced performance analysis.