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Digital home-monitoring of Long COVID symptoms study protocol

Date

Mansoubi M, Dawes J, Bhatia A, Vashisht H, Collett J, Greenwood D, Ezekiel L, O’Connor D, Leveridge P, Rayner C, Read F, Sivan M, Tucker-Bell I, Ward T, Delaney B, Muehlhausen W, Dawes H, LOCOMOTION Consortium.
Digital home monitoring for capturing daily fluctuation of symptoms; a longitudinal repeated measures study: Long Covid Multi-disciplinary Consortium to Optimise Treatments and Services across the NHS (a LOCOMOTION study).
BMJ Open 2023;13:e071428. doi: 10.1136/bmjopen-2022-071428 (PDF)

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This publication is an output from the 'Home-Monitoring and Self-Management' work package within workstream 2 of the LOCOMOTION study.

It present a protocol for the part of our study which is aiming to develop and examine the feasibility and usability of digital home monitoring for capturing daily fluctuation of symptoms in individuals with Long COVID and provide data to facilitate a personalised approach to the classification and management of Long COVID symptoms. As an improved understanding of undulation in symptoms and triggers may improve efficacy of healthcare providers and enable individuals to better self-manage their Long COVID.

The workstream also includes two sub-studies; 1) additional home digital physiological measures of heart rate variability (HRV) to test biofeedback (improving symptoms by increasing HRV), and 2) qualitative interviews to assess the usability and acceptability of using home monitoring (via smartphones) of triggers and symptoms of Long COVID at clinic appointments and explore patient experiences of Long COVID.

The paper outlines:

  • Primary and secondary objectives
  • Study design: Inclusion criteria for participants and how they are recruited
  • Data collection: What, when, and how
  • Data analysis: Statistical modelling and thematic analysis
  • Patient and Public Involvement
  • Consent process
  • Strengths and limitations

 

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