Abstract
Introduction: The underlying mechanisms and factors contributing to Long COVID are poorly understood. A wide variety of symptoms have been reported several months after infection by COVID-19, including breathlessness, fatigue, brain fog and many more.
Methods: During the early phase of the pandemic, we sought to investigate whether a mobile application (TIYGA ecosystem) could be used to capture data about the type, intensity (scale 1-10), and frequency of specific symptoms. We aimed to understand how to record the sequence of occurrence of new symptoms over time.
Results: Thirteen participants volunteered from a Charity-led Respiratory Support Group. All participants signed a consent form and created anonymised accounts. The symptoms and interventions tracked by the app were individually personalised and chosen by the participants.
There was a high burden of symptoms spanning multiple organ systems, the commonest presented in Figure 1A. The app (TIYGA ecosystem) tracked individual patient’s symptoms and provided healthcare professionals (HCPs) with data regarding severity and resolution of symptoms over time (Figure 1B).
Conclusion: The app (TIYGA ecosystem) allows individualised monitoring on a longitudinal basis giving HCPs a rapid overview of progress and detail about changing specific symptom prevalence. This ecosystem provides a unique digital interface that may enhance communication between patients and HCPs.
Methods: During the early phase of the pandemic, we sought to investigate whether a mobile application (TIYGA ecosystem) could be used to capture data about the type, intensity (scale 1-10), and frequency of specific symptoms. We aimed to understand how to record the sequence of occurrence of new symptoms over time.
Results: Thirteen participants volunteered from a Charity-led Respiratory Support Group. All participants signed a consent form and created anonymised accounts. The symptoms and interventions tracked by the app were individually personalised and chosen by the participants.
There was a high burden of symptoms spanning multiple organ systems, the commonest presented in Figure 1A. The app (TIYGA ecosystem) tracked individual patient’s symptoms and provided healthcare professionals (HCPs) with data regarding severity and resolution of symptoms over time (Figure 1B).
Conclusion: The app (TIYGA ecosystem) allows individualised monitoring on a longitudinal basis giving HCPs a rapid overview of progress and detail about changing specific symptom prevalence. This ecosystem provides a unique digital interface that may enhance communication between patients and HCPs.
| Original language | English |
|---|---|
| Article number | PA4367 |
| Journal | European Respiratory Journal |
| DOIs | |
| Publication status | Published online - 30 Oct 2024 |
Bibliographical note
This article was presented at the 2024 ERS Congress, in session “Innovative perspectives on cellular mechanisms in lung diseases”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
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