P3-362: DEMENTIA AND LONG-TERM CARE: AN ANALYSIS BASED ON GERMAN HEALTH INSURANCE DATA

2014 ◽  
Vol 10 ◽  
pp. P763-P763 ◽  
Author(s):  
Anne Fink ◽  
Gabriele Doblhammer
Keyword(s):  
Health Insurance ◽  
Long Term Care ◽  
Health Insurance Data ◽  
Term Care ◽  
German Health ◽  
Insurance Data

scholarly journals Pflegebedürftigkeit in Deutschland

2020 ◽  
pp. 239-277
Author(s):  
Sören Matzk ◽  
Chrysanthi Tsiasioti ◽  
Susann Behrendt ◽  
Kathrin Jürchott ◽  
Antje Schwinger
Keyword(s):  
Health Care Services ◽  
Long Term Care ◽  
Age Group ◽  
Health Insurance Data ◽  
Term Care ◽  
Health Service Provision ◽  
Need Of Care ◽  
Care Services ◽  
Insurance Data

Zusammenfassung Zusammenfassung Der Beitrag liefert ein ausführliches Bild zum Stand der Pflegebedürftigkeit und der gesundheitlichen Versorgung der Pflegebedürftigen in Deutschland. Die Analysen basieren auf GKV-standardisierten AOK-Daten. Sie zeigen Prävalenz, Verläufe und Versorgungsformen der Pflege sowie Kennzahlen zur gesundheitlichen Versorgung der Pflegebedürftigen. Im Fokus stehen die Inanspruchnahme von ärztlichen und stationären Leistungen, Polymedikation und Verordnungen von PRISCUS-Wirkstoffen und Psychopharmaka. Die Ergebnisse werden der Versorgung der Nicht-Pflegebedürftigen gleichen Alters gegenübergestellt und differenziert nach Schwere der Pflegebedürftigkeit und Versorgungssetting ausgewiesen. The article provides empirical insights on the scope and state of long-term care services in Germany. This includes health service provision for persons in need of care. The article lays out key figures regarding the prevalence, pathways and forms of care based on standardised AOK statutory health insurance data. An additional focus lies on the use of out- and inpatient health care services as well as on polypharmacy and prescriptions of PRISCUS medication and psychotropic drugs. Findings are contrasted with data on members of the same age group who are not in need of care and discussed in relation to the severity of the need of care and the care provision setting.

Multimorbidity Profiles in German Centenarians: A Latent Class Analysis of Health Insurance Data

2017 ◽  
Vol 31 (4) ◽  
pp. 580-594 ◽  
Author(s):  
Paul Gellert ◽  
Petra von Berenberg ◽  
Thomas Zahn ◽  
Julia Neuwirth ◽  
Adelheid Kuhlmey ◽  
...  
Keyword(s):  
Health Insurance ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Oldest Old ◽  
Class Analysis ◽  
Health Insurance Data ◽  
Term Care ◽  
Insurance Data ◽  
Geriatric Multimorbidity

Objectives: Multimorbidity in centenarians is common; although investigations of the prevalence of morbidity in centenarians are accumulating, research on profiles of co-occurrence of morbidities is still sparse. Our aim was to explore profiles of comorbidities in centenarians. Method: Health insurance data from 1,121 centenarians comprising inpatient and outpatient diagnoses from the past 5 years (2009-2013) were analyzed using latent class analysis with adjustments for sex, age, hospitalization, and long-term care. Results: Four distinct comorbidity profiles emerged from the data: 36% of centenarians were categorized as “age-associated”; 18% had a variety of comorbidities but were not diabetic were labeled “multimorbid without diabetes”; 9% were labeled “multimorbid with diabetes”; and 36% “low morbidity.” Conclusion: Patterns of comorbidities describe the complexity of geriatric multimorbidity more appropriately than an approach focused on a single disease. The profiles described by this specific research may inform clinicians and health care planners for the oldest old.

scholarly journals Trends in Life Expectancy With Care Needs Based on Long-term Care Insurance Data in Japan

2012 ◽  
Vol 22 (3) ◽  
pp. 238-243 ◽  
Author(s):  
Rumi Seko ◽  
Shuji Hashimoto ◽  
Miyuki Kawado ◽  
Yoshitaka Murakami ◽  
Masayuki Hayashi ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Long Term Care ◽  
Care Needs ◽  
Term Care ◽  
Long Term Care Insurance ◽  
Insurance Data

Cancer risk from nitrosamine-contaminated valsartan

2021 ◽  
pp. dtb-2021-000041
Keyword(s):  
Cohort Study ◽  
Health Insurance ◽  
Cancer Risk ◽  
Longitudinal Cohort Study ◽  
Health Insurance Data ◽  
Longitudinal Cohort ◽  
German Health ◽  
Insurance Data

AbstractOverview of: Gomm W, Röthlein C, Bowl K, et al. Valsartan contaminated with N-nitrosodimethylamine and cancer risk: a longitudinal cohort study with German health insurance data. Dtsch Arztebl Int 2021; 118:357–62. doi: 10.3238/arztebl.m2021.0129.

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