Evidence map›Paper›PMID 39222256›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2025

[Characteristics of applicants with first-time determination of need for long-term care-A nationwide analysis of care assessments of applicants insured with the AOK aged 60 years and above].

Christine Haeger, Till Baldenius, Susanne Schnitzer, Kathrin Jürchott, Adelheid Kuhlmey, Stefan Blüher, Antje Schwinger

Abstract readEnglish Abstract
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Christine HaegerInstitut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität and Humboldt Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Deutschland. christine.haeger@charite.de.
Till BaldeniusWissenschaftliches Institut der AOK (WIdO), Rosenthaler Straße 31, 10178, Berlin, Deutschland.
Susanne SchnitzerInstitut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität and Humboldt Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
Kathrin JürchottWissenschaftliches Institut der AOK (WIdO), Rosenthaler Straße 31, 10178, Berlin, Deutschland.
Adelheid KuhlmeyWissenschaftliches Institut der AOK (WIdO), Rosenthaler Straße 31, 10178, Berlin, Deutschland.
Stefan BlüherInstitut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität and Humboldt Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
Antje SchwingerWissenschaftliches Institut der AOK (WIdO), Rosenthaler Straße 31, 10178, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing number of care-dependent individuals requires approaches to prevent care dependency or reduce the loss of independence. Long-term care assessments can provide valuable insights into this.

objectiveThe aim of this article is to describe initial applicants with an identified need for long-term care as well as to provide a differentiated analysis of care-related diagnoses by age, gender, care level and federal state. MATERIAL AND

methodsThe nationwide database consists of long-term care assessments conducted by the Medical Service (MD) of individuals insured with the AOK aged 60 years and above who received a care level (PG) for the first time in 2021. Information relevant to long-term care was analyzed descriptively.

resultsIn this study 339,486 individuals with an average age of 79.6 years (±8.4 years) and a female proportion of 59.0% were analyzed. Approximately one half received care level 2 and 32.4% received care level 1. Care levels 3-5 were assessed less frequently (16.2% vs. 4.8% vs. 1.7%, respectively). Individuals living alone were represented more strongly in lower care levels, while individuals not living alone had a higher proportion in care levels 3-5. The most frequent care-relevant diagnoses were senility (R54), polyarthritis (M15) and dementia (F03) with significant differences observed between federal states (ICD-10 R chapter: 0.8% Berlin and Brandenburg vs. 37.9% Saxony; M chapter: 13.6% Bavaria and Hamburg vs. 39.9% Mecklenburg-Western Pomerania).

conclusionSocial determinants, such as age, gender, living alone, and region can play a role in the classification into a care level. Significant differences in care-related diagnoses between federal states warrant further investigation in future research.

Indexed as

Eligibility DeterminationLong-Term CareNeeds AssessmentAgedAged, 80 and overAge DistributionFemaleGermanyHumansMaleMiddle AgedNational Health ProgramsSex DistributionCare levelICD-10 diagnosesMedical ServiceRegional differencesSocial determinants

Identifiers

PMID39222256
PMCPMC11779786

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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.