Evidence map›Paper›PMID 40337636›Full record

ArticleThe British journal of occupational therapy2024

Exploring the usefulness of real-time digitally supported fatigue monitoring in fatigue management: Perspectives from occupational therapists and brain injury survivors.

Leisle Ezekiel, Harriet Wilding, Jeremy Dearling, Johnny Collett, Helen Dawes

Abstract read
In one paragraph

Article in The British journal of occupational therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

5 authors.

Leisle EzekielSchool of Health Sciences, University of Southampton, Southampton, UK.ORCID https://orcid.org/0000-0002-5904-3019
Harriet WildingSchool of Health Sciences, University of Southampton and Solent NHS Trust, Southampton, UK.
Jeremy DearlingPPIE Representative, Oxford, UK.
Johnny CollettOxford Brookes University, Oxford, UK.
Helen DawesCollege of Medicine, NIHR Exeter, Exeter BRC, Exeter University, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Persistent fatigue after acquired brain injury (ABI) needs long-term self-management. Self-monitoring supports self-management and informs the use of fatigue management strategies. Using ecological momentary assessment to monitor fatigue offers a data-driven approach to managing fatigue. Aims: To explore the usefulness of self-monitoring fatigue in real-time, using ecological momentary assessment to support self-management, from the perspective of people with ABI and occupational therapists. Methods: People with ABI monitoried their fatigue by wearing a Fitbit and completing six surveys a day on their phone for 6 days. Think aloud and semi-structured interviews elicited views on self-monitoring and the data generated. Transcripts were analysed using reflexive thematic analysis. Results: Four themes were developed from people with ABI ( Conclusion: Data generated in real-time challenged perspectives on fatigue and fatigue management. These insights may help people with ABI and their clinicians to plan personalised strategies for fatigue management and evaluate its impact on daily living.

Indexed as

Brain injurydigital technologyecological momentary assessmentfatigueoccupational therapyself-management

Identifiers

PMID40337636
PMCPMC12033706

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.