The global COVID-19 pandemic has generated enormous morbidity and mortality, as well as large health system disruptions including changes in use of prescription medications, outpatient encounters, emergency department admissions, and hospitalizations. These pandemic-related disruptions are reflected in real-world data derived from electronic medical records, administrative claims, disease or medication registries, and mobile devices. This webinar will discuss how pandemic-related disruptions in healthcare utilization may impact the conduct of
noninterventional studies designed to characterize the utilization and estimate the effects of medical interventions on health-related outcomes, including possible threats to external validity (participant selection) and internal validity (for example, confounding, selection bias, missing data bias).