ABSTRACT
Background: The pandemic has caused several changes in the emergency care system. The deployment figures in emergency medical services have shown atypical fluctuations. This has also been explained by changes in behavior and an increased sense of stress among the population. Existing research provides hints for the increased incidence of mental health symptoms in emergency care during ongoing pandemics. Objective: In this context, this paper examines the occurrence of emergency medical services calls related to the keyword suicide in relation to total calls. Methods: This is a retrospective cross-sectional study based on routine documentation from a fire and rescue dispatch center with descriptive and exploratory data analyses. The data are divided by settlement-structural county types and compared with incidences and pandemic phases. Results: Phase 1 and 2a show a decrease in the number of dispatches during the pandemic. In addition, there is a shift in the number of dispatch cases with a context of suicide by structure types in phase 3. A decreased dispatch rate in the sparsely populated rural county is offset by an increase in the metropolitan area. Changes made to the control center system resulted in an increase in the number of dispatch cases in the context of suicide. Conclusion: Continuous mental health surveillance, including data collected by emergency medical services, can provide valuable insight. The study also highlights the need for standardization of emergency dispatch center data.
ABSTRACT
Hintergrund Die Pandemie hat zu Veränderungen in der Notfallversorgung mit atypischen Schwankungen der Einsatzzahlen geführt. Dies wurde u. a. mit dem veränderten Verhalten und einem gesteigerten Belastungsempfinden der Bevölkerung erklärt. Bestehende Untersuchungen geben Hinweise auf das gesteigerte Auftreten von psychischen Krankheitsbildern in der Notfallversorgung bei fortwährender Pandemie. Ziel In diesem Beitrag wird ein Zusammenhang zwischen der COVID-19-Pandemie und dem Auftreten von Einsatzstichworten im Kontext Suizid in sechs unterschiedlich strukturierten Rettungsdienstbereichen untersucht. Methodik Es handelt sich um eine retrospektive Querschnittstudie basierend auf der Routinedokumentation einer integrierten Leitstelle mit deskriptiver und explorativer Datenanalyse. Die Daten werden anhand siedlungsstruktureller Kreistypen aufgeschlüsselt und mit dem vom Robert-Koch-Institut (RKI) dokumentierten Wert der COVID-19-Krankheitsfälle der letzten 7 Tage/100.000 Einwohner und Pandemiephasen ins Verhältnis gesetzt. Ergebnisse Es zeigt sich in Phase 1 und 2a ein Absinken des Einsatzaufkommens während der Pandemie. Zudem stellt sich eine Verschiebung der Dispositionsfälle mit Suizidkontext nach Strukturtypen in Phase 3 dar. Einer gesunkenen Einsatzrate im dünn besiedelten ländlichen Kreis steht eine Steigerung in der Großstadt gegenüber. Die Umstellung des Leitstellensystems zum 16.03.2021 zeigt eine deutliche Steigerung der Einsatzstichworte im Kontext Suizid. Diskussion Die Ausprägung der Resilienz der Landbevölkerung erscheint in Phase 3 stärker ausgeprägt. Eine kontinuierliche „mental health surveillance" unter Einbeziehung auch rettungsdienstlich erhobener Daten kann wertvolle Erkenntnisse liefern. Die Studie zeigt zudem die Notwendigkeit einer Standardisierung von Leitstellendaten auf.
ABSTRACT
BACKGROUND: Autopsy is an important tool for understanding the pathogenesis of diseases, including COVID-19. MATERIAL AND METHODS: On 15 April 2020, together with the German Society of Pathology and the Federal Association of German Pathologists, the German Registry of COVID-19 Autopsies (DeRegCOVID) was launched ( www.DeRegCOVID.ukaachen.de ). Building on this, the German Network for Autopsies in Pandemics (DEFEAT PANDEMIcs) was established on 1 September 2020. RESULTS: The main goal of DeRegCOVID is to collect and distribute de facto anonymized data on potentially all autopsies of people who have died from COVID-19 in Germany in order to meet the need for centralized, coordinated, and structured data collection and reporting during the pandemic. The success of the registry strongly depends on the willingness of the respective centers to report the data, which has developed very positively so far and requires special thanks to all participating centers. The rights to own data and biomaterials (stored decentrally) remain with each respective center. The DEFEAT PANDEMIcs network expands on this and aims to strengthen harmonization and standardization as well as nationwide implementation and cooperation in the field of pandemic autopsies. CONCLUSIONS: The extraordinary cooperation in the field of autopsies in Germany during the COVID-19 pandemic is impressively demonstrated by the establishment of DeRegCOVID, the merger of the registry of neuropathology (CNS-COVID19) with DeRegCOVID and the establishment of the autopsy network DEFEAT PANDEMIcs. It gives a strong signal for the necessity, readiness, and expertise to jointly help manage current and future pandemics by autopsy-derived knowledge.
Subject(s)
COVID-19 , Pandemics , Autopsy , Humans , Registries , SARS-CoV-2ABSTRACT
The Robert Koch Institute (RKI) monitors the actual number of COVID-19 patients requiring intensive care from aggregated data reported by hospitals in Germany. So far, there is no infrastructure to make use of individual patient-level data from intensive care units for public health surveillance. Adopting concepts and components of the already established AKTIN Emergency Department Data registry, we implemented the prototype of a federated and distributed research infrastructure giving the RKI access to patient-level intensive care data.
Subject(s)
COVID-19 , COVID-19/epidemiology , Data Management , Germany/epidemiology , Humans , Intensive Care Units , Public Health SurveillanceABSTRACT
BACKGROUND: An essential step in any medical research project after identifying the research question is to determine if there are sufficient patients available for a study and where to find them. Pursuing digital feasibility queries on available patient data registries has proven to be an excellent way of reusing existing real-world data sources. To support multicentric research, these feasibility queries should be designed and implemented to run across multiple sites and securely access local data. Working across hospitals usually involves working with different data formats and vocabularies. Recently, the Fast Healthcare Interoperability Resources (FHIR) standard was developed by Health Level Seven to address this concern and describe patient data in a standardized format. The Medical Informatics Initiative in Germany has committed to this standard and created data integration centers, which convert existing data into the FHIR format at each hospital. This partially solves the interoperability problem; however, a distributed feasibility query platform for the FHIR standard is still missing. OBJECTIVE: This study described the design and implementation of the components involved in creating a cross-hospital feasibility query platform for researchers based on FHIR resources. This effort was part of a large COVID-19 data exchange platform and was designed to be scalable for a broad range of patient data. METHODS: We analyzed and designed the abstract components necessary for a distributed feasibility query. This included a user interface for creating the query, backend with an ontology and terminology service, middleware for query distribution, and FHIR feasibility query execution service. RESULTS: We implemented the components described in the Methods section. The resulting solution was distributed to 33 German university hospitals. The functionality of the comprehensive network infrastructure was demonstrated using a test data set based on the German Corona Consensus Data Set. A performance test using specifically created synthetic data revealed the applicability of our solution to data sets containing millions of FHIR resources. The solution can be easily deployed across hospitals and supports feasibility queries, combining multiple inclusion and exclusion criteria using standard Health Level Seven query languages such as Clinical Quality Language and FHIR Search. Developing a platform based on multiple microservices allowed us to create an extendable platform and support multiple Health Level Seven query languages and middleware components to allow integration with future directions of the Medical Informatics Initiative. CONCLUSIONS: We designed and implemented a feasibility platform for distributed feasibility queries, which works directly on FHIR-formatted data and distributed it across 33 university hospitals in Germany. We showed that developing a feasibility platform directly on the FHIR standard is feasible.
ABSTRACT
BACKGROUND: Autopsy is an important tool for understanding the pathogenesis of diseases, including COVID-19. MATERIAL AND METHODS: On 15 April 2020, together with the German Society of Pathology and the Federal Association of German Pathologists, the German Registry of COVID-19 Autopsies (DeRegCOVID) was launched ( www.DeRegCOVID.ukaachen.de ). Building on this, the German Network for Autopsies in Pandemics (DEFEAT PANDEMIcs) was established on 1 September 2020. RESULTS: The main goal of DeRegCOVID is to collect and distribute de facto anonymized data on potentially all autopsies of people who have died from COVID-19 in Germany in order to meet the need for centralized, coordinated, and structured data collection and reporting during the pandemic. The success of the registry strongly depends on the willingness of the respective centers to report the data, which has developed very positively so far and requires special thanks to all participating centers. The rights to own data and biomaterials (stored decentrally) remain with each respective center. The DEFEAT PANDEMIcs network expands on this and aims to strengthen harmonization and standardization as well as nationwide implementation and cooperation in the field of pandemic autopsies. CONCLUSIONS: The extraordinary cooperation in the field of autopsies in Germany during the COVID-19 pandemic is impressively demonstrated by the establishment of DeRegCOVID, the merger of the registry of neuropathology (CNS-COVID19) with DeRegCOVID and the establishment of the autopsy network DEFEAT PANDEMIcs. It gives a strong signal for the necessity, readiness, and expertise to jointly help manage current and future pandemics by autopsy-derived knowledge.