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Estimating healthy life expectancies using longitudinal survey data : methods and techniques in population health measures / MOLLA, Michael T. ; MADANS, Jennifer H..
Hyattsville : U. S. Centers for Disease Control and Prevention, National Center for Health Statistics, 2008, 16 p.

http://www.cdc.gov/nchs/data/series/sr_02/sr02_146.pdf (04-06-2008)
Collection : Vital and health statistics. Series 2, Data evaluation and methods research ; no. 146
Format de fichier : Adobe Acrobat PDF
Droits d'auteur : La reproduction de ce document à des fins non commerciales est autorisée à condition que la source soit dûment mentionnée.

Mots-clés principaux
:
Espérance de vie sans incapacité
Espérance de vie
Méthode et système de mesure
Mesure de la santé
Étude longitudinale
Situation sanitaire


Résumé :

Objective
Summary measures of population health are statistics that combine mortality and morbidity to represent overall population health in a single index. Such measures include healthy life expectancy, also called disability-free life expectancy and active life expectancy. Healthy life expectancy can be calculated using cross-sectional or longitudinal survey data. This report presents a comprehensive discussion of a method for calculating healthy life expectancy using data from longitudinal surveys.
Methods
Healthy life expectancies are calculated using the multistate life table model. Expected life in various states of health is estimated using data from the Second Longitudinal Study of Aging and the Medicare Current Beneficiary Survey to illustrate the calculation of the statistics and the discussion of data and methodology related issues.
Results
The study shows that estimating summary measures of population health using longitudinal survey data provides the opportunity of using incidence rather than prevalence rates. Health measures estimated based on incidence reflect the most recent health status of the population. Models that use longitudinal survey data measure transitions from good to poor health as well as poor to good health. That is, the models account for recovery from morbidity or illness. Longitudinal survey data can also be used to calculate healthy or active life expectancies by initial health states.
Keywords: summary measures of population health ; health states ; life expectancy ; healthy life expectancy ; active life expectancy ; multistate life table ; Markov chain ; multinomial logistic regression

Illustrations : graph.
Langue : Anglais
Doc n° : 23835
NumRec : 2383503
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