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The high fidelity physical simulation judgement task was designed to be more representative of the situations in which nurses practice than the paper case simulation judgement task.
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The G parameter, representing matching between models of the judgement and the ecology, is statistically significantly lower in the physical simulation judgements, than in the paper case simulation judgements.
Parameters were then compared between the modeled paper-case and physical-simulation judgements.
We call this model: judgement by design.
In predicting the participants' judgements, the stepwise logistic regression again gave highest weight to respiration rate (mean of 0.573 for the paper case based judgements, and 0.556 for the high fidelity physical simulation based judgements).
Our study has addressed whether paper case simulations evoke similar judgements as realistically simulated situations, by comparing nurses' risk assessments elicited from paper cases with those from physically simulated patients.
Lens Model statistics could prove useful when comparing different options for the design of simulations used in clinical judgement analysis.
The use of more perceptually realistic clinical settings (e.g., physical simulations) for assessing nurses' judgement competency merits scrutiny in future judgement analysis research.
Primarily, the simulation will allow a better judgement of the plant operating conditions; then it will be illustrated that sensitivity studies may produce great benefits in the general economy and productivity of the plant.
These features may limit the generalization to real clinical environments of the results derived from judgement studies using simulation laboratories.
The high resolution of the profile measurement provides the possibility for critical judgement of the simulations.
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