Abstract

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. 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. 322,600 patients with tumor (80.7 per 1,000) and 91,622 patients with thrombosis (independent of cancer diagnosis) were identified. An incidence rate of pulmonary embolism of 0.8% (7.7 per 1,000) was determined in 30,978 patients. The overlap of patients with thrombosis and pulmonary embolism was 10,703 with an incidence rate of 0.3% (2.7 per 1,000). 7,313 tumor patients suffered from thrombosis and received prescriptions for anticoagulant treatment, representing an incidence rate of 0.2% (1.8 per 1,000). The use of big data sources is increasingly important in health care research; they provide many possibilities to create reliable information on care reality. The SHI claims data analysis generates high validity to describe the current status of oncology care in Germany. In addition to epidemiological findings for the German health care research, a lack of adherence to guidelines was revealed. These results may have an impact on further guideline development and will be examined in further publications.

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