Evidence map›Paper›PMID 42022821›Full record

ArticleFrontiers in public health2026

Excess mortality of German men and women aged 60 years and older needing long-term care 2020-2024: data from a statutory health insurance comprising more than 3 million people.

Luisa Haß, Danny Wende, Sabrina Voß, Ralph Brinks

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Luisa HaßFaculty of Health/School of Medicine, Herdecke University, Witten, Germany.
Danny WendeDepartment of Health System Research, BARMER Institute for Health System Research, Wuppertal, Germany.
Sabrina VoßFaculty of Health/School of Medicine, Herdecke University, Witten, Germany.
Ralph BrinksFaculty of Health/School of Medicine, Herdecke University, Witten, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Demographic aging is increasing the demand for long-term care (LTC) in Germany. However, existing projections often rely on prevalence-based models that fail to account for age- and sex-specific trends in incidence and mortality. While dynamic approaches, such as the illness-death model, have improved projections, reliable empirical estimates of mortality rate ratios ( Methods: This study analyzed anonymized, aggregated claims data from BARMER, a German statutory health insurance. The data covered individuals aged 60 years and older from 2020 to 2024. Mortality rates and Results: From 2020 to 2024, individuals with LTC need demonstrated persistently higher mortality rates compared to those without LTC need among all age groups and both sexes. The most pronounced increase in mortality disparities was observed in the 90+ age group, where the Conclusion: Our analysis reveals a persistent and expanding disparity in mortality among individuals with LTC need across all age groups. The findings indicate that the

Indexed as

Long-Term CareMortalityAgedAged, 80 and overFemaleGermanyHumansMaleMiddle Agedaggregated dataagingchronic conditionepidemiologylong-term caremortalitymortality rate ratio

Identifiers

PMID42022821
PMCPMC13095577

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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.