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].
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.
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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.
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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.
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Who cites it
5 citing papers in PubMed.
- [Use of digital information and support services by informal caregivers from the perspective of medical assessors : Results from a focus group study].Zeitschrift fur Gerontologie und Geriatrie · 2026Article
- [Predicting the need for long-term care: development and comparative evaluation of advanced machine learning models].Zeitschrift fur Gerontologie und Geriatrie · 2026Article
- Reasons for long-term care need: analyzing combinations of health limitations in Germany.Zeitschrift fur Gerontologie und Geriatrie · 2026Article
- Parkinson disease - Prevalence, trends and regional patterns in Germany. An analysis based on routine data from the statutory health insurance.Journal of health monitoring · 2025Article
- [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].Zeitschrift fur Gerontologie und Geriatrie · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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