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App-delivered Cognitive-behavioral Therapy for Insomnia Among Patients With Musculoskeletal Complaints

App-delivered Cognitive-behavioral Therapy for Insomnia Among Patients With Comorbid Musculoskeletal Complaints and Insomnia Referred to 4-week Inpatient Multimodal Rehabilitation

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05572697
Enrollment
105
Registered
2022-10-10
Start date
2022-10-07
Completion date
2025-11-30
Last updated
2026-07-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Insomnia, Pain, Chronic

Brief summary

The aim of this randomized clinical trial is to evaluate the effectiveness of app-delivered cognitive-behavioral therapy for insomnia adjunct to inpatient multimodal rehabilitation for individuals with comorbid insomnia and chronic pain, compared with rehabilitation (usual care) only.

Detailed description

Insomnia is highly prevalent among patients receiving treatment for long-term musculoskeletal complains. Cognitive-behavioral therapy for insomnia (CBT-I) may be effective for improving sleep quality and pain-related outcomes in these patients, but the availability of this therapy is limited by few trained therapists. In this randomized clinical trial we will evaluate the effectiveness of app-delivered CBT-I adjunct to inpatients multimodal rehabilitation for individuals with comorbid insomnia and chronic pain, compared with rehabilitation (usual care) only. Patients referred to Unicare Helsefort (Norway) with long-term chronic musculoskeletal complains and insomnia are invited to the study. The rehabilitation program consists of 2+2 weeks of inpatient multimodal rehabilitation, where the patients are at home for two weeks between the rehabilitation stays. Participants in the intervention group will receive the (CBT-I) while participating in rehabilitation, while the control group will receive rehabilitation without the app (usual care). Based on sample size calculation recruiting 15 clusters with 2:1 randomization will achieve 80 % power to detect a 4-point difference between the intervention and usual treatment group on the insomnia severity index (ISI). Edit 25.08.23: We noted in the review process of a protocol paper that the description of our sample size calculation implied that 150 participants would be included in the study, rather than that 150 potential participants would be screened and that we anticipated that 5 from each group of the 15 clusters would be eligible (i.e. 75 included in the study). We have also revisited the sample size calculations to account for dropouts and low adherence rates known to be a problem in digital interventions. We expect a dropout rate of approximately 20 % and that around 50 % of the participants in the intervention group will complete at least four of the dCBT-I modules. Given that the per-protocol analysis is of particular interest in this study, we aim to recruit 21 clusters to account for the fact that we expect an average of four participants per cluster in the control group to complete the follow-up, and an average of two participants in the intervention group to complete at least four of the modules and attend the follow-up. As total sample size is hard to predict and the sample size is based on number of clusters we have not changed the total enrollment number.

Interventions

6 week sleep intervention delivered via a smartphone app while taking part in inpatient multimodal rehabilitation for chronic pain lasting 2+2 weeks.

BEHAVIORALUsual care

Inpatient multimodal rehabilitation for chronic pain lasting 2+2 weeks.

Sponsors

Norwegian University of Science and Technology
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Masking description

Outcomes will be measured by registry data and questionnaires. Researchers will not have access to the randomization key before analyses are performed but blinding is not possible due to different number of participants in the two groups (as randomization is 2:1). The randomization procedure will be performed by the Clinical Research Unit (Klinforsk) at The Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU) by use of a computer-generated block randomization. The randomization will be on group level to avoid contamination between participants in the same rehabilitation group.

Intervention model description

Cluster randomized clinical trial with two parallel arms

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Taking part in inpatient rehabilitation due to long-term musculoskeletal complaints * Insomnia Severity Index (ISI) score \>11.

Exclusion criteria

* Not having a smartphone or tablet. * Individuals with work schedules that includes night shifts during the intervention * Pregnancy * Inadequate opportunity to sleep or living circumstances that prevent modification of sleep patterns such as having an infant * Currently receiving psychological treatment for insomnia * Medical history of contraindicating use of CBT-I such as epilepsy, recent cardiac surgery, and an attack phase of multiple sclerosis

Design outcomes

Primary

MeasureTime frameDescription
Insomnia3 months of follow-upDegree of sleep problems measured by the insomnia severity index (ISI).

Secondary

MeasureTime frameDescription
InsomniaMeasured at 3, 6 and 12 months of follow-up, main assessment at 3 monthsDifference in the proportion of participants that achieves an 8-point improvement in their Insomnia Severity Index -score between inpatient multidisciplinary rehabilitation + dCBT-I (intervention group) and inpatient multidisciplinary rehabilitation only (control group).
Health-related quality of life3, 6 and 12 months of follow-up, main assessment at 3 monthsMeasured by the EuroQol EQ5D-5L questionnaire
Pain intensity3, 6 and 12 months of follow-up, main assessment at 3 monthsScored from 0-100 on a visual analogue scale
Sick leave12 months of follow-upRegistry data from the National Insurance Administration (NAV).
Use of sleep and pain medications12 months of follow-upData from the national prescription registry
Physical function3, 6 and 12 months of follow-up, main assessment at 3 monthsMeasured by the Patient-Specific Functional Scale (PSFS). Scored 0-10.
Fatigue3, 6 and 12 months of follow-up, main assessment at 3 monthsScored from 0-100 on a visual analogue scale
Physical activityMeasured at 3, 6 and 12 months of follow-up, main assessment at 3 monthsPhysical activity measured by a questionnaire adapted from the Trøndelag Health Study (HUNT Study) which consists of three questions about frequency, duration and intensity of physical activity per week.

Countries

Norway

Contacts

PRINCIPAL_INVESTIGATORLene Aasdahl

Norwegian University of Science and Technology

STUDY_CHAIRSolveig K Grudt

Norwegian University of Science and Technology

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 18, 2026