Evidence map›Paper›PMID 39540091›Full record

ArticleFrontiers in public health2024

Projected number of people in need for long-term care in Germany until 2050.

Luisa Haß, Stephanie Knippschild, Thaddäus Tönnies, Annika Hoyer, Rebecca Palm, Sabrina Voß, Ralph Brinks

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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

7 authors.

Luisa HaßFaculty of Health/School of Medicine, Chair for Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, Germany.
Stephanie KnippschildFaculty of Health/School of Medicine, Chair for Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, Germany.
Thaddäus TönniesInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.
Annika HoyerBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany.
Rebecca PalmDepartment of Health Service Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Sabrina Voß *Faculty of Health/School of Medicine, Chair for Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, Germany.
Ralph Brinks *Faculty of Health/School of Medicine, Chair for Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Current demographic trends predict continuously growing numbers of individuals reliant on care, which has to be accounted for in future planning of long-term care-resources. The projection of developments becomes especially necessary in order to enable healthcare systems to cope with this future burden and to implement suitable strategies to deal with the demand of long-term care. This study aimed to project the prevalence of long-term care and the number of care-dependent people in Germany until 2050. Methods: We used the illness-death model to project the future prevalence of long-term care in Germany until 2050 considering eight different scenarios. Therefore, transition rates (incidence rate and mortality rates) describing the illness-death model are needed, which have been studied recently. Absolute numbers of people in need for long-term care were calculated based to the 15th population projection of the Federal Statistical Office. Results: Numbers of people in need for long-term care will increase by at least 12%, namely 5.6 million people, in the period of 2021 until 2050. Assuming an annual incidence-increase of 2% from 2021 to 2050 the number of care-dependent individuals could potentially rise up to 14 million (+180%). Conclusion: Our projections indicated a substantial rise in the number of care-dependent individuals. This is expected to lead to raising economic challenges as well as a stronger demand for healthcare and nursing personnel.

Indexed as

ForecastingLong-Term CareAdultAgedAged, 80 and overFemaleGermanyHealth Services Needs and DemandHumansMaleMiddle Agedaggregated dataagingchronic conditionepidemiologyillness-death modellong-term carepartial differential equation

Identifiers

PMID39540091
PMCPMC11558338

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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.