Evidence map›Paper›PMID 38802273›Full record

ArticleBMJ open2024

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

Rosalind Adam, Yojana Lotankar, Corina Sas, Daniel Powell, Veronica Martinez, Stephen Green, Jonathan Cooper, Katherine Bradbury, Jonathan Sive, Derek L Hill

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05622669 (Understanding Patterns of Fatigue in Health and Disease), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05622669 unknown statusnot on this map

Understanding Patterns of Fatigue in Health and Disease

TypeobservationalSponsorUniversity of AberdeenRan2021 to 2024Enrolled40ConditionsMyeloma, Long COVID, Heart FailureArmsObservational
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rosalind AdamAcademic Primary Care, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK rosalindadam@abdn.ac.uk.ORCID 0000-0003-3082-6578
Yojana LotankarPsychology and Neuroscience, University of Westminster, London, UK.
Corina SasSchool of Computing and Communications, Lancaster University, Lancaster, UK.
Daniel PowellHealth Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Veronica MartinezDepartment of Engineering, University of Cambridge, Cambridge, UK.
Stephen GreenDepartment of Engineering, University of Cambridge, Cambridge, UK.
Jonathan CooperJames Watt School of Engineering, University of Glasgow, Glasgow, UK.
Katherine BradburyPsychology, University of Southampton, Southampton, UK.
Jonathan SiveUniversity College London Hospitals NHS Foundation Trust, London, UK.
Derek L HillMedical Physics & Biomedical engineering, University College London Faculty of Engineering Sciences, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFatigue 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. ETHICS AND DISSEMINATION: This study was approved by the East of England-Cambridge East Research Ethics Committee (22/EE/0261). The results will be disseminated in peer-reviewed journals and at international conferences. TRIAL REGISTRATION NUMBER: NCT05622669.

Indexed as

COVID-19Ecological Momentary AssessmentFatigueDigital TechnologyHeart FailureHumansMultiple MyelomaResearch DesignSARS-CoV-2Self ReportWearable Electronic DevicesFatigueHeart failureInformation technologyMyelomaPatient Reported Outcome MeasuresPost-Acute COVID-19 Syndrome

Identifiers

PMID38802273
PMCPMC11131111

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.