Emerging Opportunities for the Use of Real World Data in Comparative Effectiveness Research
P15: Transcatheter Versus Surgical
Aortic Valve Replacement - a Real-World Comparison of Clinical Outcomes Based on a German Claims Dataset
Objective: This study aimed to describe clinical outcomes after transcatheter aortic valve implantation (TAVI) and surgical aortic valve implantation (SAVR).
Cytel Authors: Fraence Hardtstock and Thomas Wilke
Impact of the COVID-19 Pandemic: Healthcare Utilisation and Outcomes
P21: Social Distancing and Trends in Influenza Hospitalization during the COVID-19 Outbreak: A Difference-in-Difference Analysis of German Claims DATA
Objective: As COVID-19 spread worldwide, indicators of influenza activity in the Northern Hemisphere began to decline by mid-to-late February. In Germany, federal lockdown measures were introduced to contain the outbreak on 22/03/2020 (week 12). We used claims data from AOK PLUS, a regional sickness fund covering around half the population in Saxony and Thuringia (6.2 million inhabitants), to examine the trend of influenza hospitalizations in 2020 compared to 2019.
Cytel Authors: Scarlette Pacis,
Thomas Wilke, and Marco Ghiani
Methodological Developments in Network Meta-Analysis and Comparative Effectiveness Research
P44: Novel and Existing Flexible Survival Methods for Network Meta-Analyses
Objective: The NICE Decision Support Unit has recently published technical support document 21, focusing on flexible survival methods and considering excess mortality. In this study, we research these flexible survival methods by assessing the effect of treatment on the different parameters of the distributions and the implementation of these flexible excess survival models in network meta-analyses (NMA).
Cytel Authors: Bart Heeg, Andrea Garcia, Sophie Van Beekhuizen, and Andre Verhoek
Methodological Developments in Survival
Analytic Methods to Inform
Cost-Effectiveness Models
P45: The Use of Historical Clinical Trial Data
to Inform Survival Extrapolation
Objective: Standard parametric distributions are commonly used for the extrapolation of survival data in cost-effectiveness analyses. However, survival data is often immature and uncertainty remains around the survival extrapolations. Mature historical data can be used to better predict survival beyond trial data. This study assessed two methods to incorporate historical data in the extrapolation of immature survival data.
Cytel Authors: Ha Anh Pham, David Smalbrugge, Florint Kroi, and Bart Heeg
Two Years of COVID-19: What Has Been the Global Impact on HRQoL and Clinical Outcomes?
P64: Evaluating the IMPACT of the COVID-19 Pandemic on Mortality after Myocardial
Infarctions Hospitalization in Germany
Objective: It was hypothesized that COVID-19 lockdown measures led to later admission of myocardial infarction (MI) patients to hospitals and, consequently, higher average case severity and mortality. The aim of this study was to compare MI-associated mortality between COVID-19 lockdown and pre-COVID-19 periods.
Cytel Authors: Julia Krieger, Fraence Hardtstock and Thomas Wilke
