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In an attempt to assess the validity of the measures, we could follow the axioms of von Neumann and Morgenstern, where the SG method has a basis in expected utility theory and is the standard technique for measuring decision making under uncertainty, implying that it gives a valid health-state utility by definition [ 34].
Published scales measuring decision making have been summarised in four recent reviews; three with a focus on shared decision making [ 16- 19] and one specifically examining professionals' perceptions of decision making [ 20].
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The Iowa Gambling Task, IGT [2] was used to measure decision making.
The IGT mainly measures decision making under ambiguity, as especially initial choices are made without explicit knowledge of their consequences and decisions are mainly guided by implicit information.
We also measured decision making at a single point in time, making it difficult to assess the effects of iterative usage of the DSS on the same patient.
We investigated impulsivity in 21 JME patients and 11 controls using the Iowa Gambling Task (IGT), which measures decision making under ambiguity.
We felt it would be informative to measure decision making under conditions of heightened motivation and stress because differences between control subjects and individuals with DBDs may be most evident in "hot" motivational contexts (10,15).
There are signs of more measured decision-making.
The Iowa Gambling Task (IGT) was used to measure decision-making.
The reliability coefficients of the variables measuring decision-making autonomy using Cronbach's alpha was 0.83.
Research is needed to assess the most effective way of achieving and measuring informed decision making for PSA testing.
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