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Mispredictions and misrecollections: challenges for subjective outcome measurement
Dylan M Smith1, Stephanie L Brown, Peter A Ubel
1VA Center for Practice Management and Outcomes Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. dylsmith@umich.edu
Purpose:
To review research from the behavioral sciences that demonstrates how predictions of future events--and memories of past events--are often systematically biased.
Method:
Description of how these biases present challenges for subjective outcome measurement in rehabilitation settings, and for measuring health utility.
Results:
Two new techniques for outcome measurement that have been specifically designed to resist these biases Ecological Momentary Assessment and the Day Reconstruction Method are successful.
Conclusion:
We propose that these techniques could be adopted for measuring rehabilitation outcomes.
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