The goals of this project are
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to understand the
translation of observed health status to self-reported health status and if
this translation differs by socio-economic groups; and
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to determine how
self-reported health status information can estimate the value of health.
The
results are important for research purposes and directly contribute in
assessing the burden of non-fatal health outcomes particularly for the elderly
within the Global Burden of Disease 2000, which are to be disseminated widely by
the World Health Organization. These results improve the comparability
and interpretation of self-reported health status measures across and within
populations.
The analysis:
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Examines how individuals
translate observed performance in a domain of health into self-reported
capacity in that domain. Nationally-representative sample survey data from the
United States, Indonesia, and Canada are being used, with regional and smaller
cross-national sample surveys from some or all of the United States, China,
Italy, Costa Rica, Jamaica and Thailand.
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Examines
how medical diagnosis for particular conditions translates into self-reported
health in associated domains. Nationally-representative sample survey
data linked to medical records from the United States and Denmark have been
identified.
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Examines how self-reported general health relates to valuation of
health. Nationally-representative
survey data from Denmark that includes both self-reported general health status
and valuation of health are being used.
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Examines how individuals weigh
self-reported performance in different domains of health into self-reported
general health. Nationally-representative data from the United States, Canada,
Denmark and Japan are being employed, along with regional and smaller
cross-national sample surveys from countries selected from North America,
Europe, Africa, Asia and the Middle East.
Multivariate methods are being used that adjust
for sources of difference, including differing responses to survey questions
due to differing standards of excellence in defining health, greater salience
of disability, denial, or different understandings of general health. Estimates
are being done separately for different socio-economic groups based on income,
education, race and age and compared across different cultural and geographic
settings.
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