BIG DATA ANALYSIS OF CANCER TREATMENT IN GERMANY - MAPPING OF TREATMENT LANDSCAPE BASED ON A GERMAN STATUTORY HEALTH INSURANCE (SHI) CLAIMS DATA ANALYSIS
Author(s)
May M1, Schellong S2, Bruchhausen Y3, Kretzschmar A4, Riess H5
1HGC Healthcare Consultants GmbH, Düsseldorf, NW, Germany, 2Städtisches Klinikum Dresden, Dresden, Germany, 3Aspen Germany GmbH, München, Germany, 4Klinikum St. Georg GmbH, Leipzig, Germany, 5Charité - Universitätsmedizin Berlin, Berlin, Germany
OBJECTIVES: This study analyzed the potential of big data sets for health care research. Treatment patterns and medical care of oncological patients with thrombosis and the associated prescription of anticoagulation according to German guidelines were analyzed. METHODS: A nationally representative sample of 4.1 million (5.5 %) statutory health insured (SHI) persons was drawn from a database of 70 German SHI providers. The database contains information on demographics, both inpatient and outpatient care, on medication, and costs. Thereof, the retrospective analysis (2011-2016) defined demographical key figures, comorbidities and resource use to depict actual patterns of cancer treatment. Oncological patients were identified using coded diagnoses (ICD-10-GM) and outpatient prescriptions of anticoagulation (ATC Codes). The observation period of the study population was one year. RESULTS:
Conference/Value in Health Info
2018-11, ISPOR Europe 2018, Barcelona, Spain
Value in Health, Vol. 21, S3 (October 2018)
Code
PCN296
Topic
Health Service Delivery & Process of Care
Topic Subcategory
Health Care Research
Disease
Cardiovascular Disorders
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