Intensive longitudinal methods to study illness experience in Long Covid

SCHARR BURTON

Event details

Thursday 19 October 2023
1:00pm
Online
Online event. Free of charge but booking required.

Description

Professor Chris Burton

SCHARR Mini Master Class in Health Research - Using intensive longitudinal methods to study illness experience in Long Covid

 

Using intensive longitudinal methods to study illness experience in Long Covid

Join us for a monthly online masterclass by one of our health research experts based in the Sheffield Centre for Health and Related Research

Link to the webinar

https://eu.bbcollab.com/guest/fbae374ad6ed4eeea1ed792b69cc2b6c

Abstract:

Many illnesses are characterised by symptoms which are highly variable both within and between individuals. One way of capturing and studying this variability is to use frequent self-report measures in an intensive longitudinal method (such as Ecological Momentary Assessment). This presentation will outline the principles of this approach using the example of a study of Long Covid. It will also include new findings from a follow-up study in which people with Long Covid “think aloud” as they look at, and reflect on, visual summaries of their personal data.

Bio

Professor Chris Burton is a GP and researcher at the University of Sheffield and leads the primary care research group which is joining / has joined the new Division of Population Health. Chris has worked on persistent physical symptoms throughout his career. He uses a mixture of qualitative, quantitative, and interventional studies.

https://www.sheffield.ac.uk/smph/people/clinical-medicine/chris-burton

Link to the webinar

https://eu.bbcollab.com/guest/fbae374ad6ed4eeea1ed792b69cc2b6c

The live session takes place in a Collaborate webinar - headphones are advisable and easy to set up. You can join with a computer, tablet or smartphone, Chrome and Firefox offer the best browser experience. You can also use a phone to handle audio while in the session by dialling +44 2033 189610 and entering the PIN: 398 583 2702.

We look forward to seeing you online.

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