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Public Health Ethics
Article . 2016 . Peer-reviewed
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Distinguishing between Experienced Utility and Remembered Utility

Authors: Oliver, Adam;

Distinguishing between Experienced Utility and Remembered Utility

Abstract

In his 2015 book, Valuing Health, the philosopher, Daniel Hausman, in referring to experienced utility maximization, touches on the question of whether people accept, and ought to accept, the assumption of health maximization vis-a-vis their own lives. This essay introduces Hausman’s arguments on experienced utility, before outlining the intellectual catalyst for the renewed interest in the maximization of experienced utility as an appropriate ethical rule; namely, the literature that arose in the 1990s that demonstrated that due to the so-called gestalt characteristics (e.g. the heavy emphasis that people place on how moments in an experience are ordered), an individual’s retrospective and prospective assessments of an event—i.e. the remembered and decision utilities associated with that event—often systematically differ from the utility that he/she experiences or can reasonably expect to experience during the same event. The essay then touches upon some of the implications that this debate has on assuming that the maximization of quality-adjusted life years is the best way to judge the relative worth of different health profiles. To conclude, it is argued that, although contextual, it is sometimes important to consider in the policy discourse the apparent effects of the gestalt characteristics on remembered and decision utility.

Country
United Kingdom
Related Organizations
Keywords

peak-end evaluation, gestalt characteristics, QALYs maximisation, James Dean effect, Decision utility

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Average
Green
bronze