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Medical Care:
doi: 10.1097/MLR.0b013e3181a8112e
Original Article

Differences Between Individual and Societal Health State Valuations: Any Link With Personality?

Chapman, Benjamin P. PhD*; Franks, Peter MD†; Duberstein, Paul R. PhD*; Jerant, Anthony MD‡

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Abstract

Objective: The concept of “adaptation” has been proposed to account for differences between individual and societal valuations of specific health states in patients with chronic diseases. Little is known about psychological indices of adaptational capacity, which may predict differences in individual and societal valuations of health states. We investigated whether such differences were partially explained by personality traits in chronic disease patients.

Research Design: Analysis of baseline data of randomized controlled trial.

Subjects: Three hundred seventy patients with chronic disease.

Measures: The NEO-five factor inventory measure of personality, EuroQoL-5D (EQ-5D) societal-based, and the EQ visual analogue scale individually-based measures of health valuation.

Results: Regression analyses modeled Dev, a measure of difference between the EQ-Visual Analogue Scale and EQ-5D, as a function of personality traits, sociodemographic factors, and chronic diseases. Individual valuations were significantly and clinically higher than societal valuations among patients in the second and third quartile of conscientiousness (Dev = 0.08, P = 0.01); among covariates, only depression (Dev = −0.04, P = 0.046) was also associated with Dev.

Conclusion: Compared with societal valuations of a given health state, persons at higher quartiles of conscientiousness report less disutility associated with poor health. The effect is roughly twice that of some estimates of minimally important clinical differences on the EQ-5D and of depression. Although useful at the aggregate level, societal preference measures may systematically undervalue the health states of more conscientious individuals. Future work should examine the impact this has on individual patient outcome evaluation in clinical studies.

© 2009 Lippincott Williams & Wilkins, Inc.

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