Evidence map›Paper›PMID 36091300›Full record

ArticleSSM - population health2022

Estimating trends in working life expectancy based on health insurance data from Germany - Challenges and advantages.

J Tetzlaff, M Luy, J Epping, S Geyer, J Beller, J T Stahmeyer, S Sperlich, F Tetzlaff

Abstract read
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

J TetzlaffMedical Sociology Unit, Hannover Medical School, Hannover, Germany.
M LuyVienna Institute of Demography, Austrian Academy of Sciences, Vienna, Austria.
J EppingMedical Sociology Unit, Hannover Medical School, Hannover, Germany.
S GeyerMedical Sociology Unit, Hannover Medical School, Hannover, Germany.
J BellerMedical Sociology Unit, Hannover Medical School, Hannover, Germany.
J T StahmeyerAOK Niedersachsen- Statutory Health Insurance of Lower Saxony, Hannover, Germany.
S SperlichMedical Sociology Unit, Hannover Medical School, Hannover, Germany.
F TetzlaffMedical Sociology Unit, Hannover Medical School, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of population aging and growing strain on pension systems, monitoring the development of Working Life Expectancy (WLE) is vital to assess whether the policies taken are effective. This is the first study investigating time trends and educational inequalities in WLE based on German health insurance data. The analyses are based on the data of the AOK Lower Saxony (N = 3,347,912) covering three time periods (2006-08, 2011-13, and 2016-18). WLE is defined as years spent in the labor force (i.e. in employment and unemployment) and was calculated for each age between 18 and 69 years for the three periods to depict changes over time using multistate life table analysis. Educational inequalities in 2011-13 are reported for two educational levels (8-11 years and 12-13 years of schooling). WLE increased in both sexes with increases being stronger among women. This holds irrespective of whether WLE at age 18 (35.8-38.3 years in men, 27.5-34.0 years in women) or the older working-age (e.g. at age 50 10.2-11.7 years in men, 7.8-10.5 years in men) is considered. Among women at all ages and men from their mid-20s onwards, WLE was higher among higher-educated individuals. Inequalities were most pronounced among women (e.g. Δ3.1 years in women, Δ1.3 years in men at age 50). The study supports previous research indicating that measures to extend working life are effective, but that noticeable inequalities in WLE exist. Health insurance data represent a valuable source for such research that has so far remained untapped. The data provide a suitable basis to investigate trends and inequalities in WLE. Future research should build on the strengths of the data by broadening the research towards a more comprehensive analysis of the development of WLE from a health perspective.

Indexed as

Educational inequalityGermanyHealth insurance dataTime trendWorking life expectancy

Identifiers

PMID36091300
PMCPMC9450162

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.