HEOR Theater - Real World Insights into the US COVID-19 Crisis: New Findings from Analyses of Claims Data

November 18, 2021

Open to all ISPOR Members and Non-members

Presented by

  • David Thompson, PhD
  • Bruce Crawford, MPH, MA
  • Brian Buysse, PhD
  • Jingbo Yi, MPH
  • Charles Coombs, MEng

November 18, 2021
11:00AM EST | 4:00PM GMT | 5:00PM CET 

Click here for time zone conversion

The COVID-19 pandemic has disrupted all aspects of healthcare delivery and generated a great deal of controversy in matters related to disease prevention, treatment options and even reporting of events. Analyses of real world data (RWD) sources allow an alternative perspective to data reported by local, state and federal health authorities. This HEOR theater session will highlight various real world insights into the US COVID-19 crisis derived from the analysis of claims data.

Learning Objectives:

  • Explore state-level per-capita healthcare costs attributable to COVID-19
  • Understand the impact of COVID-19 on utilization of routine care services
  • Assess patterns of COVID-19 vaccine uptake and incidence of adverse events

Register Here 

Sponsored by: Syneos Health

Presenters:

David Thompson, PhD, Senior Vice President, Real World Evidence, Syneos Health, Boston, MA, USA

Bruce Crawford, MPH, MA, Vice President, Real World Evidence & Insights, Japan & APAC, Syneos Health, Tokyo, Japan


Brian Buysse, PhD, Senior Director, Epidemiology, Real World Evidence, Syneos Health, Madrid, Spain

Jingbo Yi, MPH, Associate Director, Real World Evidence, Syneos Health, Tokyo, Japan

Charles Coombs, MEng, Associate Director, Design Analytics & Innovation, Real World Evidence, Syneos Health, Arlington, VA, USA

Please note: On the day of the scheduled HEOR Theater, the first 1000 registered participants will be accepted. For those who are unable to attend, or would like to review the HEOR Theater On-Demand at a later date, please register using the link above to access the full-length recording. 


Reservations are on a first-come, first-served basis.

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