scholarly journals Life expectancy and healthy life years at 65, by gender, 2018 (or nearest year)

2016 ◽  
Vol 2 (4) ◽  
pp. 126
Author(s):  
Mariana Mourgova

This article examines the health status of the population in Bulgaria at age 65 by gender during the period 2006-2014. The health status is examined by some of the most frequently used demographic indicators, namely life expectancy, based on mortality data and healthy life years and healthy life expectancy, based on mortality, life expectancy and self-perceived health. The main results show that despite of the observed increase in life expectancy at age 65 in Bulgaria during the period it is the lowest compared to other European countries. The share for both men and women reported their health status as without limitations in respect to daily activities decline, while those reported their health status as good increase. These contradictory facts reflect on the measures of health status. Thus, the trend in healthy life years for both sexes decline over the period, whereas the trend in healthy life expectancy increases. Compared with the other European countries, the expected number of years without limitations in Bulgaria is among the largest, while the healthy life expectancy is the lowest. These differences could be explained by the different levels in mortality and the nature of the measures of health status themselves.


2016 ◽  
Vol 6 (1) ◽  
pp. 126
Author(s):  
Mariana Mourgova

This article examines the health status of the population in Bulgaria at age 65 by gender during the period 2006-2014. The health status is examined by some of the most frequently used demographic indicators, namely life expectancy, based on mortality data and healthy life years and healthy life expectancy, based on mortality, life expectancy and self-perceived health. The main results show that despite of the observed increase in life expectancy at age 65 in Bulgaria during the period it is the lowest compared to other European countries. The share for both men and women reported their health status as without limitations in respect to daily activities decline, while those reported their health status as good increase. These contradictory facts reflect on the measures of health status. Thus, the trend in healthy life years for both sexes decline over the period, whereas the trend in healthy life expectancy increases. Compared with the other European countries, the expected number of years without limitations in Bulgaria is among the largest, while the healthy life expectancy is the lowest. These differences could be explained by the different levels in mortality and the nature of the measures of health status themselves.


2019 ◽  
Author(s):  
Kjell Arne Johansson ◽  
Jan-Magnus Økland ◽  
Eirin Krüger Skaftun ◽  
Gene Bukhman ◽  
Ole Frithjof Norheim ◽  
...  

ABSTRACTObjectivesAt any point of time, a person’s baseline health is the number of healthy life years they are expected to experience during the course of their lifetime. In this article we propose an equity-relevant health metric, illness-specific individual Health Adjusted Life Expectancy (iHALE), that facilitates comparison of baseline health for individuals at the onset of different medical conditions, and allows for the assessment of which patient groups are worse off. A method for calculating iHALE is presented, and we use this method to rank four conditions in six countries according to several criteria of “worse off” as a proof of concept.MethodsiHALE measures baseline health at an individual level for specific conditions, and consists of two components: past health (before disease onset) and future expected health (after disease onset). Four conditions (acute myeloid leukemia (AML), acute lymphoid leukemia (ALL), schizophrenia, and epilepsy) are analysed in six countries (Ethiopia, Haiti, China, Mexico, United States and Japan). Data for all countries and for all diseases in 2017 were obtained from the Global Burden of Disease Study database. In order to assess who are the worse off, we focus on four measures: the proportion of affected individuals who are expected to attain less than 20 healthy life years (T20), the 25th and 75th percentiles of healthy life years for affected individuals (Q1 and Q3, respectively), and the average iHALE across all affected individuals.ResultsEven in settings where average iHALE is similar for two conditions, other measures may vary. One example is AML (average iHALE=58.7, T20=2.1, Q3-Q1=15.3) and ALL (57.7, T20=4.7, Q3-Q1=21.8) in the US. Many illnesses, such as epilepsy, are associated with higher baseline health in high-income settings (average iHALE in Japan=64.3) than in low-income settings (average iHALE in Ethiopia=36.8).ConclusioniHALE allows for the estimation of the distribution of baseline health of all individuals in a population. Hence, baseline health can be incorporated as an equity consideration in setting priorities for health interventions.


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