[Recommendations for the Utilization of Claims Data During a Pandemic: Lessons Learned from the Project EgePan-Unimed of the Netzwerk Universitätsmedizin (NUM)]. / Potentiale von und Empfehlungen zur Nutzung von GKV Routinedaten in einer pandemischen Versorgungslage Erfahrungen aus dem Projekt egePan-Unimed des Netzwerk Universitätsmedizin (NUM).
Gesundheitswesen
; 2022 Sep 28.
Article
in German
| MEDLINE | ID: covidwho-2264248
ABSTRACT
For appropriate response to the COVID-19 pandemic, and for obtaining answers to various relevant research questions, empirical data are required. Claims data of health insurances are a valid data source in such a situation. Within the project egePan-Unimed of the Netzwerk Universitätsmedizin (NUM) we investigated five COVID-19-related research questions using German claims data of statutory health insurances. We studied the prevalence and relevance of risk factors for a severe course of COVID-19, the background incidence of cerebral venous sinus thrombosis and myocarditis, the frequency and symptoms of post-COVID as well as the care of people with a psychiatric condition during the COVID-19 pandemic. Based on these cases, context-specific recommendations regarding the use of German claims data for future pandemics or other public health emergencies were derived, namely that the utilization of established and interdisciplinary project teams enables a timely project start and furthermore, meta-analytic methods are a valuable way to pool aggregated results of claims data analyses when data protection regulations do not allow a consolidation of data sets from different statutory health insurances. Under these circumstances, claims data are a readily available and valid data source of empirical evidence base necessary for public health measures during a pandemic.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Observational study
/
Prognostic study
/
Reviews
Topics:
Long Covid
Language:
German
Journal subject:
Public Health
Year:
2022
Document Type:
Article
Affiliation country:
A-1915-4526
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