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A Method for Functional Task Alignment Analysis of an Arthrocentesis Simulator.

Reid A Adams1, Gregory E Gilbert, Lisa A Buckley

  • 1From the St. Joseph Mercy Oakland Simulation Center (R.A.A.), Ross University School of Medicine, Pontiac, MI, and the Center for Research and Innovation in Veterinary and Medical Education, Ross University School of Veterinary Medicine, Iselin, NJ; Learning Sciences (G.E.G.), Adtalem Global Education, Downers Grove, IL, and the Center for Teaching and Learning, Ross University School of Medicine, Iselin, NJ; SJEH Simulation Center (L.A.B.), Ross University School of Medicine; Department of Biomedical Sciences (R.N.F.), Ross University School of Veterinary Medicine, Iselin, NJ; College of Veterinary Medicine (I.C.F.), Long Island University, Brooklyn, NY; and Department of Clinical Sciences (E.L.L.), Ross University School of Veterinary Medicine, Iselin, NJ.

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare
|May 18, 2018
PubMed
Summary
This summary is machine-generated.

This study presents a method to assess simulator functional task alignment (FTA) for medical training. Experts found mixed results, highlighting the need for improved evaluation methods in simulation-based education.

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Area of Science:

  • Medical Education
  • Simulation Technology
  • Healthcare Training

Background:

  • Simulation-based education relies on simulators accurately mimicking patient responses to procedural tasks.
  • Ensuring simulators functionally align with clinical tasks is crucial for effective training.

Purpose of the Study:

  • To describe a novel method for assessing a simulator's functional task alignment (FTA).
  • To determine if a simulator possesses sufficient FTA for use in medical simulation.

Main Methods:

  • Developed a performance checklist based on published arthrocentesis guidelines using Lawshe's method.
  • An expert panel evaluated simulator responses to checklist tasks via an FTA analysis questionnaire.

Main Results:

  • A 13-item checklist was finalized from an initial pool of 39 items.
  • Expert evaluations yielded mixed reviews regarding the simulator's FTA and suitability.
  • Unexpectedly, some tasks showed positive FTA despite documented simulator functional deficits.

Conclusions:

  • A structured expert-based survey method can reveal a simulator's clinical accuracy and suitability.
  • The study identified a need to revise the survey methodology due to unexpected FTA findings.
  • This approach provides insights into simulator fidelity for medical procedures.