Linked Life Data

15710009

Source:http://linkedlifedata.com/resource/pubmed/id/15710009

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2005-2-15
pubmed:abstractText
The purpose of this study was to define the psychometric properties of a simulation-based assessment of anaesthetists. Twenty-one anaesthetic trainees took part in three highly standardised simulations of anaesthetic emergencies. Scenarios were videotaped and rated independently by four judges. Trainees also assessed their own performance in the simulations. Results were analysed using generalisability theory to determine the influence of subject, case and judge on the variance in judges' scores and to determine the number of cases and judges required to produce a reliable result. Self-assessed scores were compared to the mean score of the judges. The results suggest that 12-15 cases are required to rank trainees reliably on their ability to manage simulated crises. Greater reliability is gained by increasing the number of cases than by increasing the number of judges. There was modest but significant correlation between self-assessed scores and external assessors' scores (rho = 0.321; p = 0.01). At the lower levels of performance, trainees consistently overrated their performance compared to those performing at higher levels (p = 0.0001).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0003-2409
pubmed:author
pubmed:issnType
Print
pubmed:volume
60
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
245-50
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Psychometric characteristics of simulation-based assessment in anaesthesia and accuracy of self-assessed scores.
pubmed:affiliation
Faculty Education Unit, University of Auckland, Private Bag 92019, Auckland, New Zealand. j.weller@auckland.ac.nz
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't