Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals During the COVID-19 Lockdown

The COVID-19 pandemic has caused strains on health systems worldwide disrupting routine hospital services for all non-COVID patients. Within this retrospective study, we analyzed inpatient hospital admissions across 18 German university hospitals during the 2020 lockdown period compared to 2018. Patients admitted to hospital between January 1 and May 31, 2020 and the corresponding periods in 2018 and 2019 were included in this study. Data derived from electronic health records were collected and analyzed using the data integration center infrastructure implemented in the university hospitals that are part of the four consortia funded by the German Medical Informatics Initiative. Admissions were grouped and counted by ICD 10 chapters and specific reasons for treatment at each site. Pooled aggregated data were centrally analyzed with descriptive statistics to compare absolute and relative differences between time periods of different years. The results illustrate how care process adoptions depended on the COVID-19 epidemiological situation and the criticality of the disease. Overall inpatient hospital admissions decreased by 35% in weeks 1 to 4 and by 30.3% in weeks 5 to 8 after the lockdown announcement compared to 2018. Even hospital admissions for critical care conditions such as malignant cancer treatments were reduced. We also noted a high reduction of emergency admissions such as myocardial infarction (38.7%), whereas the reduction in stroke admissions was smaller (19.6%). In contrast, we observed a considerable reduction in admissions for non-critical clinical situations, such as hysterectomies for benign tumors (78.8%) and hip replacements due to arthrosis (82.4%). In summary, our study shows that the university hospital admission rates in Germany were substantially reduced following the national COVID-19 lockdown. These included critical care or emergency conditions in which deferral is expected to impair clinical outcomes. Future studies are needed to delineate how appropriate medical care of critically ill patients can be maintained during a pandemic.

[1]  D. Lougson,et al.  Acute. , 2020, The Manchester medical gazette.

[2]  Isaac S. Kohane,et al.  Architecture of the Open-source Clinical Research Chart from Informatics for Integrating Biology and the Bedside , 2007, AMIA.

[3]  Griffin M. Weber,et al.  Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2) , 2010, J. Am. Medical Informatics Assoc..

[4]  T Ganslandt,et al.  Unlocking Data for Clinical Research – The German i2b2 Experience , 2011, Applied Clinical Informatics.

[5]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[6]  Dirk Merkel,et al.  Docker: lightweight Linux containers for consistent development and deployment , 2014 .

[7]  Jj Allaire,et al.  Web Application Framework for R , 2016 .

[8]  M. Skalej,et al.  Regional Differences in Thrombectomy Rates , 2018, Clinical Neuroradiology.

[9]  C. Schade-Brittinger,et al.  MIRACUM: Medical Informatics in Research and Care in University Medicine , 2018, Methods of information in medicine.

[10]  C. Dieterich,et al.  HiGHmed – An Open Platform Approach to Enhance Care and Research across Institutional Boundaries , 2018, Methods of Information in Medicine.

[11]  S. Semler,et al.  A National Approach to Integrating Health Data from Patient Care and Medical Research , 2018 .

[12]  Jan E. Gewehr,et al.  Smart Medical Information Technology for Healthcare (SMITH) , 2018, Methods of Information in Medicine.

[13]  S. Semler,et al.  German Medical Informatics Initiative , 2018, Methods of Information in Medicine.

[14]  Fabian Prasser,et al.  Data Integration for Future Medicine (DIFUTURE) , 2018, Methods of Information in Medicine.

[15]  Jan E. Gewehr,et al.  Smart Medical Information Technology for Healthcare (SMITH)* Data Integration based on Interoperability Standards , 2018 .

[16]  Holger Stenzhorn,et al.  Experiences from the National Demonstrator Study within the German Medical Informatics Initiative , 2019, AMIA.

[17]  Detlef Kraska,et al.  Moving Towards an EHR Data Quality Framework: The MIRACUM Approach , 2019, GMDS.

[18]  A. Ebert,et al.  Acute Stroke in Times of the COVID-19 Pandemic , 2020, Stroke.

[19]  C. Schmidt,et al.  Reduction in ST-Segment Elevation Cardiac Catheterization Laboratory Activations in the United States During COVID-19 Pandemic , 2020, Journal of the American College of Cardiology.

[20]  P. Scriba,et al.  The Effects of the COVID-19 Pandemic and Lockdown on Routine Hospital Care for Other Illnesses. , 2020, Deutsches Arzteblatt international.

[21]  C. von Kalle,et al.  The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond , 2020, BMC Medical Informatics and Decision Making.

[22]  A. Rubboli,et al.  Impatto della pandemia COVID-19 sui ricoveri per sindrome coronarica acuta: revisione della letteratura ed esperienza monocentrica./ [Impact of the COVID-19 pandemic on admissions for acute coronary syndrome: review of the literature and single-center experience]. , 2020 .

[23]  G. Albers,et al.  Collateral Effect of Covid-19 on Stroke Evaluation in the United States , 2020, The New England journal of medicine.

[24]  J. Hernigou,et al.  Staying home during “COVID-19” decreased fractures, but trauma did not quarantine in one hundred and twelve adults and twenty eight children and the “tsunami of recommendations” could not lockdown twelve elective operations , 2020, International Orthopaedics.

[25]  Erika Poggiali,et al.  Proximal femur fractures in COVID-19 emergency: the experience of two Orthopedics and Traumatology Departments in the first eight weeks of the Italian epidemic , 2020, Acta bio-medica : Atenei Parmensis.

[26]  J. London,et al.  Effects of the COVID-19 Pandemic on Cancer-Related Patient Encounters. , 2020, JCO clinical cancer informatics.

[27]  A. Rubboli,et al.  [Impact of the COVID-19 pandemic on admissions for acute coronary syndrome: review of the literature and single-center experience]. , 2020, Giornale italiano di cardiologia.

[28]  A. Bauer,et al.  Decline of acute coronary syndrome admissions in Austria since the outbreak of COVID-19: the pandemic response causes cardiac collateral damage , 2020, European heart journal.

[29]  W. Rottbauer,et al.  31 days of COVID-19—cardiac events during restriction of public life—a comparative study , 2020, Clinical Research in Cardiology.

[30]  COVIDSurg Collaborative Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans: Elective surgery during the SARS-CoV-2 pandemic , 2020 .

[31]  D. Colombi,et al.  The Baffling Case of Ischemic Stroke Disappearance from the Casualty Department in the COVID-19 Era , 2020, European Neurology.

[32]  O. Rodriguez-Leor,et al.  Impact of the COVID-19 pandemic on interventional cardiology activity in Spain , 2020, REC: interventional cardiology (English Edition).