Welcome to CDC Stacks | Estimating healthy life expectancies using longitudinal survey data; methods and techniques in population health measures - 6973 | Stephen B. Thacker CDC Library collection
Stacks Logo
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
 
 
Help
Clear All Simple Search
Advanced Search
Estimating healthy life expectancies using longitudinal survey data; methods and techniques in population health measures
  • Published Date:
    May 2008
Filetype[PDF - 448.17 KB]


Details:
  • Corporate Authors:
    National Center for Health Statistics (U.S.), Office of Analysis and Epidemiology.
  • Pubmed ID:
    25093608
  • Series:
    Vital and health statistics. Series 2, Data evaluation and methods research ; no. 146
    DHHS publication ; no. (PHS) 2008-1346
  • Document Type:
  • Description:
    Measures of health that combine mortality and morbidity -- Methods for calculating healthy life expectancies -- Objectives and contents of the report -- Data sources for illustrating the method -- Model specification -- The IMaCH Program -- Expected years with and without activity limitation -- Expected years in good and poor health.

    "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 canalsobeusedtocalculate healthy or active life expectancies by initial health states." - p. 1

  • Supporting Files:
    No Additional Files