Cited by 20Health Systems, Economic Evaluations, Quality of LifeEconomic and Environmental ValuationMusculoskeletal pain and rehabilitation

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

Open access
Chapman, Benjamin P., Franks, Peter, Duberstein, Paul R., Jerant, Anthony·2009·Medical Care

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/mlr.0b013e3181a8112e

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chapman, B. P., Franks, P., Duberstein, P. R., & Jerant, A.
Affiliations
  • University of Rochester Medicine (US)
  • University of California Davis Medical Center (US)
Corresponding author
  • Chapman, Benjamin P.
  • Duberstein, Paul R.
Venue
Medical Care
Published
2009-08
Volume
47
Issue
8
Pages
902-907
ISSN
0025-7079 (ISSN-L)
OpenAlex
W2109076764
Cited by
20
References
48
Citations by year
2025: 1 · 2023: 3 · 2019: 1 · 2018: 4 · 2017: 1 · 2016: 2 · 2015: 1 · 2013: 4 · 2012: 2
FWCI
2.25
Type
journal article
Language
en
Open access
Locations
  • Medical Care (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Agency for Healthcare Research and Quality (R01HS013603)
  • National Institute on Aging (K08AG031328, L30 AG031021)
  • National Institute of Mental Health (K24MH072712, T32MH073452)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
Keywords
health state valuation, adaptation, conscientiousness, personality traits, chronic disease, EQ-5D, depression, health-related quality of life, disutility
MeSH terms
Aged, Chronic Disease, Female, Health Status, Health Status Indicators, Humans, Male, Middle Aged, Personality, Socioeconomic Factors, Randomized Controlled Trials as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review