Evidence map›Paper›PMID 38195791›Full record

ArticleGesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))2024

[Analysing the Need for Long-Term Care: Potential of Data from Long-Term Care Assessments of the Bavarian Medical Service for Public Health Research and Practice].

Johanna Schütz, Marie-Christin Redlich, Florian Fischer

Abstract readEnglish Abstract
In one paragraph

Article in Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

3 authors.

Johanna SchützBayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Kempten, Germany.ORCID 0000-0002-0274-2919
Marie-Christin RedlichBayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Kempten, Germany.ORCID 0000-0002-2973-5743
Florian FischerBayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Kempten, Germany.ORCID 0000-0002-4388-1245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite demographic changes, there is still no systematic and comparable differentiation of nursing care reporting on a small-scale level in Germany, where outpatient long-term care is depicted. This article presents findings of care assessment data of the Medical Service of Bavaria and draws conclusions for future reporting on nursing.

methodsFor the analysis, anonymised initial long-term care assessments of the Bavarian Medical Service of 2019 were evaluated exemplarily using descriptive methods. The study describes the characteristics of persons with a care level recommendation, the distribution of care level categories, medical diagnoses and degree of independence in the areas of life.

resultsThe persons assessed were on average 80 years old. At the time of the initial assessment, the largest proportion of persons with an assigned care level lived in an outpatient setting. Care level (PG) 1 (slight impairment of independence or abilities) was assigned to 35.1% of the insured, PG 2 (considerable impairment) to 43.1%, PG 3 (severe impairment) to 16.6%, PG 4 and 5 (most severe impairment) were each rarely assigned at the time of the initial assessment (3.9% and 1.4%, respectively). Medical diagnoses were dominated by gait and mobility disorders, unspecified dementia, heart failure and senility. In particular, there were impairments in the areas of 'mobility' and 'organisation of everyday life and social contacts'.

conclusionsThe data available from the German Medical Service may be highly relevant to health research and policy and may provide a basis for planning interventions in long-term care.

Indexed as

Long-Term CareAgedAged, 80 and overFemaleGermanyHealth Services Needs and DemandHumansMaleNeeds AssessmentPublic Health

Identifiers

PMID38195791
PMCPMC11322830

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Registered trials

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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.