Abstract | BACKGROUND: It is generally assumed that chronic diseases and multimorbidity increase the risk of long-term care. Nevertheless, a systematic study on the nature and the prevalence of those diseases associated with long-term care has not been yet undertaken in Germany. MATERIALS AND METHODS: The study was perfomed using claims data of one nationwide operating statutory health insurance company in 2006. Inclusion criteria were age ≥ 65 years, minimum of 1 out of 46 diagnoses in a minimum of three quarters of the year (n = 8,678). A comparison group was formed with n = 114,962. We calculated prevalences and relative risks -using nominal regression- to determine influential factors on long-term care. RESULTS: A small number of diseases (e.g. dementia, urinary incontinence, chronic stroke and cardiac insufficiency) show high prevalences (> 20%) among long-term care users and at the same time great prevalence differences between users and non-users CONCLUSION: These data are important for improving medical and nursing care of long-term care users. Further research is needed with regard to the question by which mechanisms those diseases produce disability and frailty, thus leading to long-term care requirements.
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Authors | H van den Bussche, I Heinen, D Koller, B Wiese, H Hansen, I Schäfer, M Scherer, G Glaeske, G Schön |
Journal | Zeitschrift fur Gerontologie und Geriatrie
(Z Gerontol Geriatr)
Vol. 47
Issue 5
Pg. 403-9
(Jul 2014)
ISSN: 1435-1269 [Electronic] Germany |
Vernacular Title | Die Epidemiologie von chronischen Krankheiten und Pflegebedürftigkeit : Eine Untersuchung auf der Basis von Abrechnungsdaten der gesetzlichen Krankenversicherung. |
PMID | 23912127
(Publication Type: English Abstract, Journal Article, Multicenter Study)
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Topics |
- Age Distribution
- Aged
- Aged, 80 and over
- Chronic Disease
(epidemiology)
- Comorbidity
- Dementia
(epidemiology)
- Female
- Germany
(epidemiology)
- Heart Failure
(epidemiology)
- Humans
- Insurance Claim Review
(statistics & numerical data)
- Long-Term Care
(statistics & numerical data)
- Male
- National Health Programs
(statistics & numerical data)
- Prevalence
- Risk Factors
- Sex Distribution
- Stroke
(epidemiology)
- Urinary Incontinence
(epidemiology)
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