The University of Southampton
University of Southampton Institutional Repository

Understanding patterns of fatigue in health and disease: protocol for an ecological momentary assessment study using digital technologies

Understanding patterns of fatigue in health and disease: protocol for an ecological momentary assessment study using digital technologies
Understanding patterns of fatigue in health and disease: protocol for an ecological momentary assessment study using digital technologies
Introduction: fatigue is prevalent across a wide range of medical conditions and can be debilitating and distressing. It is likely that fatigue is experienced differently according to the underlying aetiology, but this is poorly understood. Digital health technologies present a promising approach to give new insights into fatigue.

The aim of this study is to use digital health technologies, real-time self-reports and qualitative interview data to investigate how fatigue is experienced over time in participants with myeloma, long COVID, heart failure and in controls without problematic fatigue. Objectives are to understand which sensed parameters add value to the characterisation of fatigue and to determine whether study processes are feasible, acceptable and scalable.

Methods and analysis: an ecological momentary assessment study will be carried out over 2 or 4 weeks (participant defined). Individuals with fatigue relating to myeloma (n=10), heart failure (n=10), long COVID (n=10) and controls without problematic fatigue or a study condition (n=10) will be recruited. ECG patches will measure heart rate variability, respiratory rate, body temperature, activity and posture. A wearable bracelet accompanied by environment beacons will measure physical activity, sleep and room location within the home. Self-reports of mental and physical fatigue will be collected via smartphone app four times daily and on-demand. Validated fatigue and affect questionnaires will be completed at baseline and at 2 weeks. End-of-study interviews will investigate experiences of fatigue and study participation. A feedback session will be offered to participants to discuss their data.

Data will be analysed using multilevel modelling and machine learning. Interviews and feedback sessions will be analysed using content or thematic analyses.
2044-6055
Adam, Rosalind
214687da-44fd-424e-b08f-aa11b802b35a
Lotankar, Yojana
f477cdbf-d5ea-4c0a-86f4-80cc5925b53b
Sas, Corina
451e9d47-49d2-41e0-ae4b-b637f1bbad61
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
Martinez, Veronica
1e586e95-a57e-4529-bf97-a8af6fcb8623
Green, Stephen
1956a1c5-2305-4eec-9477-ae3920eaf55a
Cooper, Jonathan M.
c8f72162-161e-4187-a2a1-05ccbf03af5a
Bradbury, Katherine
87fce0b9-d9c5-42b4-b041-bffeb4430863
Sive, Jonathan
deae47a0-2414-4836-b787-b3fae484588c
Hill, Derek L.
032d8491-e3ad-4640-8be5-04433ee0ec63
Adam, Rosalind
214687da-44fd-424e-b08f-aa11b802b35a
Lotankar, Yojana
f477cdbf-d5ea-4c0a-86f4-80cc5925b53b
Sas, Corina
451e9d47-49d2-41e0-ae4b-b637f1bbad61
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
Martinez, Veronica
1e586e95-a57e-4529-bf97-a8af6fcb8623
Green, Stephen
1956a1c5-2305-4eec-9477-ae3920eaf55a
Cooper, Jonathan M.
c8f72162-161e-4187-a2a1-05ccbf03af5a
Bradbury, Katherine
87fce0b9-d9c5-42b4-b041-bffeb4430863
Sive, Jonathan
deae47a0-2414-4836-b787-b3fae484588c
Hill, Derek L.
032d8491-e3ad-4640-8be5-04433ee0ec63

Adam, Rosalind, Lotankar, Yojana, Sas, Corina, Powell, Daniel, Martinez, Veronica, Green, Stephen, Cooper, Jonathan M., Bradbury, Katherine, Sive, Jonathan and Hill, Derek L. (2024) Understanding patterns of fatigue in health and disease: protocol for an ecological momentary assessment study using digital technologies. BMJ Open, 14, [e081416]. (doi:10.1136/bmjopen-2023-081416).

Record type: Article

Abstract

Introduction: fatigue is prevalent across a wide range of medical conditions and can be debilitating and distressing. It is likely that fatigue is experienced differently according to the underlying aetiology, but this is poorly understood. Digital health technologies present a promising approach to give new insights into fatigue.

The aim of this study is to use digital health technologies, real-time self-reports and qualitative interview data to investigate how fatigue is experienced over time in participants with myeloma, long COVID, heart failure and in controls without problematic fatigue. Objectives are to understand which sensed parameters add value to the characterisation of fatigue and to determine whether study processes are feasible, acceptable and scalable.

Methods and analysis: an ecological momentary assessment study will be carried out over 2 or 4 weeks (participant defined). Individuals with fatigue relating to myeloma (n=10), heart failure (n=10), long COVID (n=10) and controls without problematic fatigue or a study condition (n=10) will be recruited. ECG patches will measure heart rate variability, respiratory rate, body temperature, activity and posture. A wearable bracelet accompanied by environment beacons will measure physical activity, sleep and room location within the home. Self-reports of mental and physical fatigue will be collected via smartphone app four times daily and on-demand. Validated fatigue and affect questionnaires will be completed at baseline and at 2 weeks. End-of-study interviews will investigate experiences of fatigue and study participation. A feedback session will be offered to participants to discuss their data.

Data will be analysed using multilevel modelling and machine learning. Interviews and feedback sessions will be analysed using content or thematic analyses.

Text
e081416.full - Version of Record
Available under License Creative Commons Attribution.
Download (442kB)

More information

Accepted/In Press date: 10 May 2024
e-pub ahead of print date: 27 May 2024
Published date: 27 May 2024

Identifiers

Local EPrints ID: 511475
URI: http://eprints.soton.ac.uk/id/eprint/511475
ISSN: 2044-6055
PURE UUID: c65115e7-a947-44d0-b6e0-8d8486233548
ORCID for Daniel Powell: ORCID iD orcid.org/0000-0003-4995-6057
ORCID for Katherine Bradbury: ORCID iD orcid.org/0000-0001-5513-7571

Catalogue record

Date deposited: 15 May 2026 16:56
Last modified: 16 May 2026 02:23

Export record

Altmetrics

Contributors

Author: Rosalind Adam
Author: Yojana Lotankar
Author: Corina Sas
Author: Daniel Powell ORCID iD
Author: Veronica Martinez
Author: Stephen Green
Author: Jonathan M. Cooper
Author: Jonathan Sive
Author: Derek L. Hill

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×