INSPIRES-2: Improving Sleep and Learning in Rehabilitation After Stroke, Part 2

Sponsor
University of Oxford (Other)
Overall Status
Recruiting
CT.gov ID
NCT05511285
Collaborator
Big Health Inc. (Industry)
100
1
2
28
3.6

Study Details

Study Description

Brief Summary

This study will explore whether sleep in stroke survivors is improved with digital cognitive behavioural therapy for insomnia (Sleepio), in comparison to treatment as usual, and will explore whether changes in sleep relate to changes in overnight consolidation of motor learning.

Condition or Disease Intervention/Treatment Phase
  • Behavioral: Digital Cognitive Behavioural Therapy for Insomnia
N/A

Detailed Description

Stroke is one of the leading causes of adult disability. Rehabilitation of movement after stroke depends on motor learning. Motor learning involves not only improvement during practice but also offline improvement, or consolidation, that occurs after practice. Consolidation of learning depends on good sleep quality. However, sleep is disrupted long-term after stroke and patients with poorer sleep show worse rehabilitation outcomes.

Cognitive behavioural therapy for insomnia (CBT) is the recommended first line treatment for sleep problems. "Sleepio" is a digital CBT programme which is effective across a range of clinical populations. This study aims to test the efficacy of digital CBT for reducing insomnia symptoms after stroke, in comparison with usual care alone. To explore the possibility that sleep interventions might enhance rehabilitation outcomes via their impact on consolidation of motor learning, the study will additionally test for differences in consolidation between groups, and explore whether changes in sleep measures are associated with changes in consolidation.

Participants will be randomised to either receive digital CBT for insomnia (in addition to usual care) or receive treatment as usual alone (2:1 treatment to control ratio). The primary outcome is the score on the 8-item Sleep Condition Indicator, 10 weeks following randomisation. Secondary outcomes include behavioural measures of overnight motor consolidation assessed as the change in motor task performance from training to retest, sleep disruption assessed with actigraphy, and depression and fatigue using the Patient Health Questionnaire (PHQ9) and the Fatigue Severity Scale respectively.

In addition to this, to explore the feasibility of delivering rehabilitation following the sleep improvement programme, an optional 4 weeks of upper limb motor training at home will be offered to all participants (regardless of group allocation) after follow-up. Outcomes of adherence to the training and upper limb function will be assessed.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
100 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Intervention Model Description:
A randomised controlled trial with two parallel study arms: (1) digital cognitive behavioural therapy for insomnia (experimental condition), and (2) treatment as usual (control condition). Randomisation will be using a 2:1 ratio (experimental:control), within minimisation of between group differences in age, sex, baseline Sleep Condition Indicator score and time since stroke.A randomised controlled trial with two parallel study arms: (1) digital cognitive behavioural therapy for insomnia (experimental condition), and (2) treatment as usual (control condition). Randomisation will be using a 2:1 ratio (experimental:control), within minimisation of between group differences in age, sex, baseline Sleep Condition Indicator score and time since stroke.
Masking:
Single (Outcomes Assessor)
Masking Description:
Randomisation and facilitation of the intervention will be performed by a research assistant, and the person analysing the data will be blinded to group allocations.
Primary Purpose:
Treatment
Official Title:
Improving Sleep and Learning in Rehabilitation After Stroke, Part 2
Anticipated Study Start Date :
Aug 1, 2022
Anticipated Primary Completion Date :
Oct 1, 2024
Anticipated Study Completion Date :
Dec 1, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: Behavioural: Digital cognitive behavioural therapy for insomnia

6-10 weeks of digital cognitive behavioural therapy for insomnia (Sleepio) delivered online.

Behavioral: Digital Cognitive Behavioural Therapy for Insomnia
6-10 weeks of digital cognitive behavioural therapy for insomnia (Sleepio) delivered online, in addition to usual care.
Other Names:
  • Sleepio
  • No Intervention: Treatment as usual

    Participants will receive treatment as usual.

    Outcome Measures

    Primary Outcome Measures

    1. Sleep Condition Indicator [10 weeks after randomisation]

      Questionnaire assessing self-reported insomnia symptoms, range 0-32, higher numbers indicate less symptoms of insomnia

    Secondary Outcome Measures

    1. Change in motor performance from training to retest [10 weeks after randomisation]

      Behavioural motor consolidation assessment, assessed as accuracy (range 0-50, higher numbers indicate better accuracy of motor performance)

    2. Patient Health Questionnaire [10 weeks after randomisation]

      Questionnaire assessing symptoms of depression, range 0-20, higher values indicate more depressive symptoms

    3. Fatigue Severity Scale [10 weeks after randomisation]

      Questionnaire assessing fatigue, range 9-63, higher score indicates more severe fatigue

    Other Outcome Measures

    1. Adherence of at home motor training [14 weeks following randomisation]

      Assessment of number of sessions performed, number of repetitions etc.

    2. Upper limb ability [14 weeks following randomisation]

      Assessed with Action Research Arm Test, range 0-57, higher score indicates better upper limb ability

    3. Upper limb function [14 weeks following randomisation]

      Assessed with Box and Blocks Test, scored as the number of blocks transferred in 60 seconds

    4. Upper limb dexterity [14 weeks following randomisation]

      Assessed with Nine hole peg test, scored as the number of pegs placed in 30 seconds

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Willing and able to give informed consent for participation in the study

    • Aged 18 years or above.

    • Clinical diagnosis of stroke affecting the upper limb, with sufficient movement to perform the motor learning task

    • Discharged from inpatient care

    • Interest in accessing a programme with the aim of improving sleep quality

    • Reliable access to the internet

    Exclusion Criteria:
    • Other neurological condition affecting movement (e.g. Parkinson's Disease, Multiple Sclerosis)

    • Diagnosed, untreated, sleep disorder (e.g. Sleep Apnea)

    • Uncontrolled seizures

    • Planned inpatient admission (e.g. for rehabilitation) in the next 4 months that would impact ability to engage with the Sleepio programme

    • Engagement in psychological therapy for insomnia in the past 12 months

    • Pregnancy

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 University of Oxford Oxford United Kingdom OX39DU

    Sponsors and Collaborators

    • University of Oxford
    • Big Health Inc.

    Investigators

    • Principal Investigator: Melanie K Fleming, Dr, University of Oxford

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    University of Oxford
    ClinicalTrials.gov Identifier:
    NCT05511285
    Other Study ID Numbers:
    • PID 16015
    First Posted:
    Aug 22, 2022
    Last Update Posted:
    Aug 22, 2022
    Last Verified:
    Aug 1, 2022
    Individual Participant Data (IPD) Sharing Statement:
    Yes
    Plan to Share IPD:
    Yes
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Keywords provided by University of Oxford
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Aug 22, 2022