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Advancing understanding of Long COVID: Leveraging patient perspectives with the Symptom Burden Questionnaire™

 
  July 31, 2023  
     
 
Xtalks, online
2023 -9-19


Long COVID, also known as Post-COVID Condition, affects an estimated 65 million people globally. It is a complex condition characterized by over 200 reported symptoms that vary among individuals. Understanding the underlying mechanisms and developing diagnostic tools, including biomarkers, are ongoing areas of research. In the absence of definitive diagnostic tools, symptom-led investigations remain crucial for diagnosing and managing Long COVID patients and assessing new treatments. The Symptom Burden Questionnaire™ for Long COVID (SBQ™-LC) is a patient-reported outcome (PRO) specifically designed to comprehensively measure the severity and impact of Long COVID symptoms in adults. It has been licensed for use in research studies and clinical practice in more than 60 countries worldwide.
 
This webinar will discuss the importance of patient-reported outcomes for new conditions such as Long COVID, where understanding of the condition is evolving in real time. We will describe the development and validation of the SBQ™-LC in the context of a major clinical study and share potential applications of the instrument. In addition, we will discuss learnings from the pandemic and future considerations for patient-reported outcomes in the context of complex, multi-system conditions and multi-morbidity.
 
Join this webinar to learn more about patient-reported outcomes and how the Symptom Burden Questionnaire™ is helping to ensure the patient perspective is at the center of assessment and management of Long COVID.
 
 
Organized by: Xtalks
Invited Speakers: Professor Melanie Calvert, PhD, Professor of Outcomes Methodology and Director, Centre for Patient Reported Outcome Research, University of Birmingham Dr. Sarah Hughes, PhD, MRCSLT, Research Fellow, Centre for Patient Reported Outcome Research, University of Birmingham Tatiana Canard, Manager, Author Collaboration Unit, Mapi Research Trust
 
Deadline for Abstracts: 2023 -9-19
 
Registration: Free registration
E-mail: ajuurinen@xtalks.com
 
   
 
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