Changes in emergency department utilisation in Germany before and during different phases of the COVID-19 pandemic, using data from a national surveillance system up to June 2021.

BACKGROUND: During the COVID-19 pandemic and associated public health and social measures, decreasing patient numbers have been described in various healthcare settings in Germany, including emergency care. This could be explained by changes in disease burden, e.g. due to contact restrictions, but could also be a result of changes in utilisation behaviour of the population. To better understand those dynamics, we analysed routine data from emergency departments to quantify changes in consultation numbers, age distribution, disease acuity and day and hour of the day during different phases of the COVID-19 pandemic. METHODS: We used interrupted time series analyses to estimate relative changes for consultation numbers of 20 emergency departments spread throughout Germany. For the pandemic period (16-03-2020 - 13-06-2021) four different phases of the COVID-19 pandemic were defined as interruption points, the pre-pandemic period (06-03-2017 - 09-03-2020) was used as the reference. RESULTS: The most pronounced decreases were visible in the first and second wave of the pandemic, with changes of - 30.0% (95%CI: - 32.2%; - 27.7%) and - 25.7% (95%CI: - 27.4%; - 23.9%) for overall consultations, respectively. The decrease was even stronger for the age group of 0-19 years, with - 39.4% in the first and - 35.0% in the second wave. Regarding acuity levels, consultations assessed as urgent, standard, and non-urgent showed the largest decrease, while the most severe cases showed the smallest decrease. CONCLUSIONS: The number of emergency department consultations decreased rapidly during the COVID-19 pandemic, without extensive variation in the distribution of patient characteristics. Smallest changes were observed for the most severe consultations and older age groups, which is especially reassuring regarding concerns of possible long-term complications due to patients avoiding urgent emergency care during the pandemic.

Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021.

BackgroundThe COVID-19 pandemic expanded the need for timely information on acute respiratory illness at population level.AimWe explored the potential of routine emergency department data for syndromic surveillance of acute respiratory illness in Germany.MethodsWe used routine attendance data from emergency departments, which continuously transferred data between week 10 2017 and 10 2021, with ICD-10 codes available for > 75% of attendances. Case definitions for acute respiratory infection (ARI), severe acute respiratory infection (SARI), influenza-like illness (ILI), respiratory syncytial virus infection (RSV) and COVID-19 were based on a combination of ICD-10 codes, and/or chief complaints, sometimes combined with information on hospitalisation and age.ResultsWe included 1,372,958 attendances from eight emergency departments. The number of attendances dropped in March 2020 during the first COVID-19 pandemic wave, increased during summer, and declined again during the resurge of COVID-19 cases in autumn and winter of 2020/21. A pattern of seasonality of respiratory infections could be observed. By using different case definitions (i.e. for ARI, SARI, ILI, RSV) both the annual influenza seasons in the years 2017-2020 and the dynamics of the COVID-19 pandemic in 2020/21 were apparent. The absence of the 2020/21 influenza season was visible, parallel to the resurge of COVID-19 cases. SARI among ARI cases peaked in April-May 2020 (17%) and November 2020-January 2021 (14%).ConclusionSyndromic surveillance using routine emergency department data can potentially be used to monitor the trends, timing, duration, magnitude and severity of illness caused by respiratory viruses, including both influenza viruses and SARS-CoV-2.

A Federated and Distributed Data Management Infrastructure to Enable Public Health Surveillance from Intensive Care Unit Data.

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.

[Using emergency department routine data for the surveillance of suicide attempts and psychiatric emergencies]. / Nutzung von Routinedaten aus Notaufnahmen zur Surveillance von Suizidversuchen und psychiatrischen Notfällen.

BACKGROUND: The occurrence of suicide attempts is a key indicator of the population's mental health and therefore belongs in the domain of Mental Health Surveillance at the Robert Koch Institute. No data source is currently being used systematically for the continuous observation of psychiatric emergencies (including suicide attempts) in Germany. Therefore, the use of routine data from emergency departments will be explored in this work. METHODS: We included routine data from 12 emergency departments between 1 January 2018 and 28 March 2021. We developed syndrome definitions for suicide attempts, psychiatric emergencies based on combinations of chief complaints, and diagnoses from patients presenting with psychopathological symptoms. A descriptive analysis over time was presented and stratified by age and sex. RESULTS: In total 1,516,883 emergency department attendances were included, among which we identified 5,133 cases (0.3%) as suicide attempts, 31,085 (2.1%) as psychiatric emergencies, and 34,230 (2.3%) as cases with psychiatric symptoms. Among psychiatric emergencies, 16.5% presented because of a suicide attempt. Of cases presenting with a suicide attempt, 53.4% were male and 20.2% were aged between 25 and 34 years. Cases identified by all 3 syndrome definitions and their temporal variations could be displayed over the entire observation period. CONCLUSION: Syndromic surveillance using emergency department data indicates a potential for continuous surveillance of suicide attempts and psychiatric emergencies and provides a basis for further validation and analysis. The display of changes in real time extends the current research opportunities for psychiatric emergencies in Germany. Systematic surveillance of suicide attempts can contribute to evidence-based suicide prevention.

[Real-time data from medical care settings to guide public health action]. / Gewinnung von Echtzeitdaten aus der medizinischen Versorgung zur Handlungssteuerung in Public Health.

Real-time data from medical care settings play an increasing role in guiding public health action. The COVID-19 pandemic is a good example; public health decisions depend on current data from the various clinical care settings. The automated processing and communication of health-related data is essential to ensure continuity of reporting and safe resources. So far, various technical, formal, and organizational challenges help back the development of digitally automated real-time systems with scientific quality standards. The COVID-19 pandemic pushed sustainable system developments since it began in early 2020.This article describes how a real-time data system should be structured so that automated data processing is possible. Important aspects in the consolidation of the data and their preparation and communication are presented. The processes implemented for handling routine data from emergency departments in real time and making it available to public health actors is described. As an example, we present the cooperation between the emergency admission registry of the Aktionsbündnis für Informations- und Kommunikationstechnologie in Intensiv- und Notfallmedizin (AKTIN), the Universität Magdeburg, and the RWTH Aachen as well as the Surveillance Monitor (SUMO) hosted at the Robert Koch Institute.The development of modern systems for processing research data in real-time from medical care settings can only succeed through the cooperation of a wide variety of actors. An important basis for long-term success is the development of a legal framework.