Literature DB >> 12459669

Evaluation of anesthesia residents using mannequin-based simulation: a multiinstitutional study.

Howard A Schwid1, G Alec Rooke, Jan Carline, Randolph H Steadman, W Bosseau Murray, Michael Olympio, Stephen Tarver, Karen Steckner, Susan Wetstone.   

Abstract

BACKGROUND: Anesthesia simulators can generate reproducible, standardized clinical scenarios for instruction and evaluation purposes. Valid and reliable simulated scenarios and grading systems must be developed to use simulation for evaluation of anesthesia residents.
METHODS: After obtaining Human Subjects approval at each of the 10 participating institutions, 99 anesthesia residents consented to be videotaped during their management of four simulated scenarios on MedSim or METI mannequin-based anesthesia simulators. Using two different grading forms, two evaluators at each department independently reviewed the videotapes of the subjects from their institution to score the residents' performance. A third evaluator, at an outside institution, reviewed the videotape again. Statistical analysis was performed for construct- and criterion-related validity, internal consistency, interrater reliability, and intersimulator reliability. A single evaluator reviewed all videotapes a fourth time to determine the frequency of certain management errors.
RESULTS: Even advanced anesthesia residents nearing completion of their training made numerous management errors; however, construct-related validity of mannequin-based simulator assessment was supported by an overall improvement in simulator scores from CB and CA-1 to CA-2 and CA-3 levels of training. Subjects rated the simulator scenarios as realistic (3.47 out of possible 4), further supporting construct-related validity. Criterion-related validity was supported by moderate correlation of simulator scores with departmental faculty evaluations (0.37-0.41, P < 0.01), ABA written in-training scores (0.44-0.49, < 0.01), and departmental mock oral board scores (0.44-0.47, P < 0.01). Reliability of the simulator assessment was demonstrated by very good internal consistency (alpha = 0.71-0.76) and excellent interrater reliability (correlation = 0.94-0.96; P < 0.01; kappa = 0.81-0.90). There was no significant difference in METI versus MedSim scores for residents in the same year of training.
CONCLUSIONS: Numerous management errors were identified in this study of anesthesia residents from 10 institutions. Further attention to these problems may benefit residency training since advanced residents continued to make these errors. Evaluation of anesthesia residents using mannequin-based simulators shows promise, adding a new dimension to current assessment methods. Further improvements are necessary in the simulation scenarios and grading criteria before mannequin-based simulation is used for accreditation purposes.

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Year:  2002        PMID: 12459669     DOI: 10.1097/00000542-200212000-00015

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  33 in total

1.  Implementation of team training in medical education in Denmark.

Authors:  H T Østergaard; D Østergaard; A Lippert
Journal:  Qual Saf Health Care       Date:  2004-10

2.  Construct Validity and Generalizability of Simulation-Based Objective Structured Clinical Examination Scenarios.

Authors:  Avner Sidi; Nikolaus Gravenstein; Samsun Lampotang
Journal:  J Grad Med Educ       Date:  2014-09

Review 3.  Training, competency, and credentialing standards for diagnostic cervicocerebral angiography, carotid stenting, and cerebrovascular intervention.

Authors:  John J Connors; David Sacks; Anthony J Furlan; Warren R Selman; Eric J Russell; Philip E Stieg; Mark N Hadley
Journal:  AJNR Am J Neuroradiol       Date:  2004 Nov-Dec       Impact factor: 3.825

Review 4.  Medication errors in critical care: risk factors, prevention and disclosure.

Authors:  Eric Camiré; Eric Moyen; Henry Thomas Stelfox
Journal:  CMAJ       Date:  2009-04-28       Impact factor: 8.262

5.  Simulators in self-assessment.

Authors:  J K Smith; B Baxendale; E Ferguson; C A Maxwell-Armstrong
Journal:  Ann R Coll Surg Engl       Date:  2009-01       Impact factor: 1.891

6.  Simulation in anesthesiology: A key element in the new recertification process.

Authors:  Ben Newell; Eugune Fibuch; Michael McCartney
Journal:  Mo Med       Date:  2013 Mar-Apr

Review 7.  [Improved quality of coronary diagnostics and interventions by virtual reality simulation].

Authors:  W Voelker; S Maier; B Lengenfelder; W Schöbel; J Petersen; A Bonz; G Ertl
Journal:  Herz       Date:  2011-08       Impact factor: 1.443

8.  Impact of high-fidelity e-learning on knowledge acquisition and satisfaction in radiation oncology trainees.

Authors:  C Gillan; J Papadakos; J Brual; N Harnett; A Hogan; E Milne; M E Giuliani
Journal:  Curr Oncol       Date:  2018-12-01       Impact factor: 3.677

9.  Developing a simulation to study conflict in intensive care units.

Authors:  Jared Chiarchiaro; Rachel A Schuster; Natalie C Ernecoff; Amber E Barnato; Robert M Arnold; Douglas B White
Journal:  Ann Am Thorac Soc       Date:  2015-04

10.  Patient simulation: a literary synthesis of assessment tools in anesthesiology.

Authors:  Alice A Edler; Ruth G Fanning; Michael I Chen; Rebecca Claure; Dondee Almazan; Brain Struyk; Samuel C Seiden
Journal:  J Educ Eval Health Prof       Date:  2009-12-20
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