NCT05863897

Brief Summary

Fatigue is a common, persistent consequence of acquired brain injury (ABI). Research into treatments that may alleviate post-ABI fatigue is been limited. Pharmacological treatment (methylphenidate) has shown the greatest scientific effects, but is complicated because the risk of adverse side effects and its potential for abuse. COGRAT, an evidence-based treatment combining cognitive therapy (CO) with graded activity training (GRAT), is found to be effective in treating fatigue in patients with acquired brain injury. However, therapist guided internet-based CBT (I-CBT) could offer a more accessible and cheaper alternative to this highly frequent face to face treatment. Moreover, I-CBT is found to be effective in a population with patients with psychiatric and chronic somatic disorders, including chronic fatigue syndrome. Recent studies suggests that I-CBT is effective for people with ABI as well. To obtain optimal benefit from both group delivered face to face therapy and e-health and to combine the available evidence of COGRAT and I-CBT in patients with ABI, we developed a blended e-health cognitive behavioral (group)intervention; e-COGRAT. The goal of this intervention study is to evaluate the efficacy and feasibility of e-COGRAT to treat fatigue in people with ABI. The main questions it aims to answer are:

  • Is a blended eHealth cognitive behavioral (group)intervention (e-COGRAT) effective as a treatment for fatigue in people with ABI?
  • Is e-COGRAT the blended care variant of COGRAT, a cognitive behavioral group treatment for fatigue afer ABI, comparable to COGRAT in terms of efficacy?
  • Will participants of e-COGRAT improve significant on overall fatigue, emotional well-being and participation?
  • Will it be feasible for at least 80% of the participants to complete the intervention completely?

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
16

participants targeted

Target at below P25 for not_applicable

Timeline
4mo left

Started Sep 2023

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress89%
Sep 2023Sep 2026

First Submitted

Initial submission to the registry

April 14, 2023

Completed
1 month until next milestone

First Posted

Study publicly available on registry

May 18, 2023

Completed
4 months until next milestone

Study Start

First participant enrolled

September 1, 2023

Completed
3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2026

Last Updated

April 3, 2025

Status Verified

March 1, 2025

Enrollment Period

3 years

First QC Date

April 14, 2023

Last Update Submit

March 31, 2025

Conditions

Keywords

InterventioneHealthRehabilitationFeasibility

Outcome Measures

Primary Outcomes (1)

  • Daily fatigue

    Primary outcome is the change in severity of fatigue complaints on a daily visual analogue scale (VAS) ("How would you rate your fatigue today?") which will be registered by text messages. Participants can indicate the severity of the experienced fatigue by given themselves a grade between 0 - 4. 0: "I'm not tired"; 1: "I'm a little bit tired"; 2: "tired"; 3: "pretty tired"; "; 4: "seriously tired". These grades will also be used in the intervention.

    1 year (daily in baseline and intervention phase and daily in the last week of follow-up)

Secondary Outcomes (6)

  • Fatigue after ABI

    1 year (once in baseline, treatment and follow-up)

  • Fatigue in the general population

    1 year (once in baseline, treatment and follow-up)

  • Emotional distress

    1 year (once in baseline, treatment and follow-up)

  • Level of participation

    1 year (once in baseline, treatment and follow-up)

  • Feasibility of the overall online intervention

    1 year (once in treatment and follow-up)

  • +1 more secondary outcomes

Study Arms (1)

eCOGRAT

EXPERIMENTAL
Behavioral: e-COGRAT (a blended eHealth intervention)

Interventions

The blended eHealth intervention for fatigue complaints after ABI, e-COGRAT, is a cognitive behaviorial intervention. It consists of 12 weekly sessions, including 6 individual online sessions, 2 face-to-face group sessions and 4 online group sessions, in 4 groups of 4 patients.

eCOGRAT

Eligibility Criteria

Age18 Years - 70 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • An ABI diagnosis (stroke and traumatic brain injury) in the chronic phase (≥6 months after injury)
  • Complaints of severe fatigue (Checklist Individual Strength - subscale Fatigue score ≥ 40)
  • Full comprehension of Dutch language
  • Being cognitive capable of using the internet and having regular internet access.

You may not qualify if:

  • Having severe cognitive deficits (Behavioural Assessment of the Dysexecutive Syndrome (BADS) \< borderline)
  • Having major untreated or unstable medical or psychiatric comorbidities (eg, epilepsy, psychosis)
  • Patients with (complaints of) depression are excluded if the depression subscale of the Hospital Anxiety and Depression Scale (HADS) is \> 10

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Heliomare

Wijk aan Zee, North Holland, 1949EC, Netherlands

Location

Related Publications (10)

  • Zedlitz AM, Rietveld TC, Geurts AC, Fasotti L. Cognitive and graded activity training can alleviate persistent fatigue after stroke: a randomized, controlled trial. Stroke. 2012 Apr;43(4):1046-51. doi: 10.1161/STROKEAHA.111.632117. Epub 2012 Feb 2.

    PMID: 22308241BACKGROUND
  • Visser-Keizer AC, Hogenkamp A, Westerhof-Evers HJ, Egberink IJ, Spikman JM. Dutch multifactor fatigue scale: a new scale to measure the different aspects of fatigue after acquired brain injury. Arch Phys Med Rehabil. 2015 Jun;96(6):1056-63. doi: 10.1016/j.apmr.2014.12.010. Epub 2015 Jan 2.

    PMID: 25559057BACKGROUND
  • Spinhoven P, Ormel J, Sloekers PP, Kempen GI, Speckens AE, Van Hemert AM. A validation study of the Hospital Anxiety and Depression Scale (HADS) in different groups of Dutch subjects. Psychol Med. 1997 Mar;27(2):363-70. doi: 10.1017/s0033291796004382.

    PMID: 9089829BACKGROUND
  • van der Zee CH, Priesterbach AR, van der Dussen L, Kap A, Schepers VP, Visser-Meily JM, Post MW. Reproducibility of three self-report participation measures: The ICF Measure of Participation and Activities Screener, the Participation Scale, and the Utrecht Scale for Evaluation of Rehabilitation-Participation. J Rehabil Med. 2010 Sep;42(8):752-7. doi: 10.2340/16501977-0589.

    PMID: 20809057BACKGROUND
  • Ali A, Morfin J, Mills J, Pasipanodya EC, Maas YJ, Huang E, Dirlikov B, Englander J, Zedlitz A. Fatigue After Traumatic Brain Injury: A Systematic Review. J Head Trauma Rehabil. 2022 Jul-Aug 01;37(4):E249-E257. doi: 10.1097/HTR.0000000000000710. Epub 2021 Aug 4.

    PMID: 34354018BACKGROUND
  • Carlbring P, Andersson G, Cuijpers P, Riper H, Hedman-Lagerlof E. Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis. Cogn Behav Ther. 2018 Jan;47(1):1-18. doi: 10.1080/16506073.2017.1401115. Epub 2017 Dec 7.

    PMID: 29215315BACKGROUND
  • Ford ME, Geurtsen GJ, Groet E, Rambaran Mishre RD, Van Bennekom CAM, Van Someren EJW. A blended eHealth intervention for insomnia following acquired brain injury: a randomised controlled trial. J Sleep Res. 2023 Feb;32(1):e13629. doi: 10.1111/jsr.13629. Epub 2022 May 31.

    PMID: 35641443BACKGROUND
  • Theadom A, Barker-Collo S, Jones K, Dudley M, Vincent N, Feigin V. A pilot randomized controlled trial of on-line interventions to improve sleep quality in adults after mild or moderate traumatic brain injury. Clin Rehabil. 2018 May;32(5):619-629. doi: 10.1177/0269215517736671. Epub 2017 Oct 26.

    PMID: 29072086BACKGROUND
  • van Beugen S, Ferwerda M, Hoeve D, Rovers MM, Spillekom-van Koulil S, van Middendorp H, Evers AW. Internet-based cognitive behavioral therapy for patients with chronic somatic conditions: a meta-analytic review. J Med Internet Res. 2014 Mar 27;16(3):e88. doi: 10.2196/jmir.2777.

    PMID: 24675372BACKGROUND
  • Janse A, Worm-Smeitink M, Bleijenberg G, Donders R, Knoop H. Efficacy of web-based cognitive-behavioural therapy for chronic fatigue syndrome: randomised controlled trial. Br J Psychiatry. 2018 Feb;212(2):112-118. doi: 10.1192/bjp.2017.22.

    PMID: 29436329BACKGROUND

MeSH Terms

Conditions

Brain InjuriesFatigue

Condition Hierarchy (Ancestors)

Brain DiseasesCentral Nervous System DiseasesNervous System DiseasesCraniocerebral TraumaTrauma, Nervous SystemWounds and InjuriesSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Aglaia M. Zedlitz, Dr.

    Leiden University

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
TREATMENT
Intervention Model
SINGLE GROUP
Model Details: A single-case experimental design with AB and follow-up phases across participants.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

April 14, 2023

First Posted

May 18, 2023

Study Start

September 1, 2023

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

September 1, 2026

Last Updated

April 3, 2025

Record last verified: 2025-03

Locations