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Maximal endurable time states and the standard gamble: more preference reversals
P F M Stalmeier1, A L Verheijen
1Department for Health Evidence, Radboud University Medical Centre, HEV 133, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands, P.Stalmeier@ebh.umcn.nl.
The standard gamble (SG) method, used for measuring health preferences, exhibits preference reversals similar to the time trade-off (TTO) method. This suggests challenges in accurately measuring utility for poor health states using either approach.
Area of Science:
- Health Economics
- Decision Analysis
- Psychometrics
Background:
- The time trade-off (TTO) method is known to be sensitive to maximal endurable time preferences, exhibiting preference reversals.
- The sensitivity of the standard gamble (SG) method to maximal endurable time preferences has not been previously investigated.
Purpose of the Study:
- To investigate whether preference reversals occur for the standard gamble (SG) method.
- To compare the sensitivity of the SG method to maximal endurable time preferences with that of the TTO method.
Main Methods:
- Fifty-nine participants evaluated several migraine health states.
- Participants indicated preferences for living 10 or 20 years in a selected migraine state, identifying maximal endurable time preferences.
- Two probability equivalent gambles were constructed for the 10- and 20-year durations of the selected migraine state.
- Preference reversals were identified when a gamble equivalent to a longer duration was preferred over a gamble equivalent to a shorter duration.
Main Results:
- Out of 59 respondents, 48 (81%) exhibited maximal endurable time preferences.
- Among those with maximal endurable time preferences, 34 (71%) demonstrated preference reversals.
- This reversal rate was significantly higher than chance (50%, P = 0.004), indicating reliable occurrence.
Conclusions:
- The standard gamble (SG) method shows a similar rate of preference reversals as the time trade-off (TTO) method.
- Both the TTO and SG methods present challenges for accurate utility measurement of poor health states.
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