Ontology highlight
ABSTRACT: Background
The inverse association between mortality and individual socioeconomic status is well-documented. Due to the lack of appropriate data, little is known about the nature of this association among individuals with long-term care (LTC) needs.Objectives
We aim to fill in this knowledge gap by estimating life expectancy (LE), life expectancy without (CFLE) and with (CLE) long-term care by education for older German men; and by assessing the trends in the education-LE/CFLE/CLE gradient over time.Data and methods
We apply survival analysis and Gompertz regression to German Socioeconomic Panel data (1997-2012) to estimate the mortality levels and to construct the life tables for three educational categories. Using the administrative data from the health insurance,
SUBMITTER: Grigoriev O
PROVIDER: S-EPMC6752958 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature