A Method for Estimating the Total Loss of Healthy Life Years: Applications and Comparisons in UK and Scotland
Christos H. Skiadas, Charilaos Skiadas

TL;DR
This paper introduces a novel method for estimating the total loss of healthy life years using stochastic process theory, applicable to UK, Scotland, and Sweden, aligning with WHO and EU estimates without survey data.
Contribution
It presents a new estimation approach based on first exit time theory that requires only death and population data, bypassing survey data and enabling comparison with WHO and EU methods.
Findings
Method aligns with WHO and EU estimates.
Applicable to UK, Scotland, and Sweden.
Provides estimators without survey data.
Abstract
We propose a method of estimating the Total Loss of Healthy Life Years based on the first exit time theory for a stochastic process, the resulting Health State Function and the Deterioration Function estimated as the curvature of the health state function. We have done many applications in UK and Scotland and Sweden supporting our theory. Furthermore it was proven that both the WHO and EU estimates of the healthy life expectancy can result from our method. The WHO system takes into account the severe and moderate causes in estimating the loss of healthy life years; instead the EU system calculates the total loss of healthy life years. For both cases our methodology provides both estimators from only death and population data. The advantages of our method are straightforward. We do not need survey data to make the calculations. The resulting estimates should be used to test and improve…
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Taxonomy
TopicsGlobal Health Care Issues · Insurance, Mortality, Demography, Risk Management · Health disparities and outcomes
