Evidence map›Paper›PMID 40569422›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2025

[On the threshold of needing long-term care-Comparison of older people with and without a care level recommendation in Bavaria].

Johanna Schütz, Lorena Denise Wetzel

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In one paragraph

Article in Zeitschrift fur Gerontologie und Geriatrie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Johanna SchützBayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Albert-Einstein-Straße 6, 87437, Kempten, Deutschland. johanna.schuetz@hs-kempten.de.
Lorena Denise WetzelBayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Albert-Einstein-Straße 6, 87437, Kempten, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople who have not received a care level ("Pflegegrad", PG) in care assessments in accordance with § 14 Social Code (SGB) XI have hardly been addressed by research to date, even though information on this group has enormous preventative potential. This article aims to compare older people with and without PG recommendations in terms of sociodemographic characteristics, independence in various areas of life as well as medical diagnoses.

methodsThe analysis is based on n = 122,478 initial care assessments of adults over the age of 50 years, which were carried out by the Bavarian Medical Service (MD) in 2019. Descriptive analyses are used to compare people with and without PG recommendations.

resultsOf those assessed, 19.5% were not given a PG recommendation. These people are younger, more often female and living alone than people with PG recommendation. Overall, those assessed without PG recommendation are less restricted in their independence than those with a PG recommendation. Nevertheless, they also have significant limitations in activities relevant to everyday life (especially in mobility outside the home, shopping, cleaning the home). In both groups, a limitation of gait and mobility is the most common diagnosis that leads to an application for a care assessment.

conclusionRoutine data from long-term care assessments provide information about older people who are on the threshold of needing long-term care. People without PG recommendation who nevertheless require support therefore represent an important target group for support measures and should be addressed by preventive and health-promoting interventions.

Indexed as

GermanyHealth services researchIndependence in old ageLong-term care assessmentMedical service

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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.