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The focus on treatment of COVID19 patients during the Sars-CoV-2 outbreak has most likely implications for the extent and quality of diagnosis and treatment of non-COVID19 patients. Medical care of cancer patients is a particularly sensitive area. To draw holistic conclusions, it is necessary to analyze the provision of healthcare as broadly as possible with regard to the dimensions of access, processes and outcome during the Sars-CoV-2 pandemic. This will be implemented exemplarily for the early detection, diagnosis and treatment of colorectal cancer (CRC) and pancreatic cancer (PaCa) in Saxony. Patients with diagnosis, treatment or early detection measures for type 2 diabetes (T2D), coronary heart disease (CHD) and multiple sclerosis (MS) serve as comparison groups.
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For a realistic assessment, the situation will be compared with the situation before the Sars-CoV-2 pandemic while considering confounders and effect modifiers. The evaluation is based on pseudonymised routine statutory health insurance (SHI) data of the AOK PLUS for Saxony.
As data sources, SHI data of the AOK PLUS Saxony for the period 2015 to 4th quarter 2020 and publicly available data on COVID19 are used. The differentiation between incidence and prevalent diseases is based on a 4-year washout period, so that the health care situation can be compared between 2019 (pre-period) and 2020 (post-period). Patients with confirmed diagnoses of CRC and PaCa or early detection measures regarding CRC are investigated. These will be contrasted to patients with confirmed diagnoses of T2D, CHD, and MS or early detection measures regarding T2D.
The differentiation of subgroups as confounders or effect modifiers is taken into account. Subgroups are considered with respect to the factors age groups, gender, Elixhauser comorbidities, metastasis y/n, residential regions (postal code 3 digits), characteristics of the treating institution and possibly seasonal effects.
Aims:
Analysis of the differences in the health care provision situation during the Sars-CoV-2 outbreak compared to the time before.
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Data sourced from clinicaltrials.gov
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