PubMed Health⌕ Search

PubMed · 10827325

A computer-based trauma simulator for teaching trauma management skills.

Abstract

BACKGROUND: The management of multiply injured trauma patients is a skill requiring broad knowledge, sound judgment, and leadership capabilities. The purpose of this study was to evaluate the effectiveness of a computer-based trauma simulator as a teaching tool for senior medical students. METHODS: All year-4 clinical clerks at the University of Toronto were approached to participate in a focused, 2-hour trauma management course. The volunteer rate for the course was 79%. Students were randomized to either computer-based simulator or seminar-based teaching groups. Outcome measures in this study were students' trauma objective structured clinical examination (OSCE) scores. RESULTS: Both the trauma simulator and seminar teaching groups performed significantly better than the comparison group (no additional teaching) on the trauma OSCE patient encounter component, but not the written component of the examination. There was no significant difference in the performances of the trauma simulator and seminar teaching groups. Students overwhelmingly felt the trauma simulator was effective for their trauma teaching, and improved their overall confidence in clinical trauma scenarios. CONCLUSIONS: There is a significant benefit associated with a focused, clinically based trauma management course for senior medical students. No additional improvement was noted with the use of a high fidelity computer-based trauma simulator.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M K Gilbart, C R Hutchison, M D Cusimano, G Regehr. 2000. A computer-based trauma simulator for teaching trauma management skills.. https://doi.org/10.1016/s0002-9610(00)00302-0

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Confidence intervals for the standardized effect arising in the comparison of two normal populations.

Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.

Analysis of Variance↗