2016/03/08 by Christos H. Skiadas, Skiadas, Christos H
Health Professions · Social Sciences · #FOS: Biological sciences #Global Health Care Issues #Health disparities and outcomes #Insurance, Mortality, Demography, Risk Management #Populations and Evolution (q-bio.PE)
paper · pdf · doi:10.48550/arxiv.1603.02414
openalex publication_date 2016/03/08 · openalex created_date 2022/09/12 · openalex updated_date 2026/07/28
We propose a series of methods and models in order to explore the Global\nBurden of Disease Study and the provided healthy life expectancy HALE estimates\nfrom the World Health Organization WHO based on the mortality mx of a\npopulation provided in a classical life table and a mortality diagram. Our\nestimates are compared with the HALE estimates for the World territories and\nthe WHO regions along with providing comparative results with to findings of\nChang, Molla, Truman et al. (2015) on the Differences in healthy life\nexpectancy for the US population by sex, race or ethnicity and geographic\nregion in 2008 and from Yong and Saito (2009) regarding Trends in healthy life\nexpectancy in Japan. From the mortality point of view we have developed a\nsimple model for the estimation of a characteristic parameter b related to the\nhealthy life years lost to disability and providing full application details\nalong with characteristic parameter selection and stability of the\ncoefficients. We also provide a direct estimation method of the parameter b\nfrom the life tables. We straighten the importance of our methodology by\nproposing and applying estimates of the parameter b by using the Gompertz and\nthe Weibull models. From the Health State point of view we summarize the main\npoints of the first exit time theory to life table data and present the basic\nmodels starting from the first related model published by Janssen and Skiadas\n(1995). Even more we develop the simpler 2-parameter health state model and an\nextension of a model expressing the infant mortality to a 4-parameter model\nwhich is the simpler model providing very good fitting on the logarithm of the\nforce of mortality. More important is the use of the Health State Function and\nthe relative impact on mortality to find an estimate for the healthy life years\nlost to disability.\n