NCT06113666

A Digital Therapeutic to Improve Insomnia in Multiple Sclerosis: A Randomized Controlled Trial.

Digital Cognitive Behavior Therapy for Insomnia Compared With Digital Patient Education About Insomnia in People With Multiple Sclerosis in Norway

• Status: Active Not Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 550 (estimated)
• Sponsor: St. Olavs Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The goal of this randomized controlled trial is to test the effectiveness of digital cognitive behavioral therapy for insomnia (dCBT-I) compared with digital patient education about insomnia for people with Multiple Sclerosis (MS). The main questions it aims to answer are whether dCBT-I is effective in reducing insomnia severity in people with MS, whether dCBT-I is effective in reducing daytime fatigue, psychological distress, cognitive problems, medication use (hypnotic, sedative/anxiolytic and antidepressant), resource utilization and if these changes are mediated by improvements in insomnia severity and whether dCBT-I is feasible for people with MS

Detailed description

Insomnia is prevalent among individuals with Multiple Sclerosis (MS). Improving sleep is an important therapeutic goal, but there is currently a lack of effective treatment options. Cognitive Behavioral Therapy for Insomnia (CBT-I) has been widely studied in other patient groups and is currently recommended as first- line treatment for chronic insomnia. Overall, the availability of CBT-I has been limited, as the number of patients in need of treatment far exceeds the number of available therapists. Therefore, fully automated digital adaptations of CBT-I (dCBT-I) have been developed that contain both screening and intervention. Whether this treatment is effective for a clinical sample of patients diagnosed with MS, or if improved sleep can lead to improved daytime functioning in MS, is however, currently unknown. This is a novel approach to a digital treatment of a common disorder in MS, and that may result in improved implementation of a low-threshold intervention. Update August 28th, 2024 We aim to increase the target sample size from 260 to 550 to increase the statistical power to detect differences between the intervention group and control group on the secondary outcomes, e.g., fatigue, cognitive functioning, mental health, and movement measures measured with actigraphy. Few treatment options have shown effects on these outcomes for people with MS but are a significant problem for this patient group. Small effects from this trial may have substantial scientific and clinical value and are important to test with adequate statistical power. Based on previous RCTs investigating the effectiveness of dCBT-I we aim to have a sample size large enough to detect small to moderate effects (Cohen's d = 0.3 til 0.5) on the secondary outcome measures fatigue, cognitive function, mental health and movement measures measured with actigraphy. As the planned RCT involves limited contact between researchers and participants, we have predicted that the study dropout rate will likely reach about 50%. Therefore, we aim to recruit 550 participants, to enable us to retain 275 participants (137 in each treatment arm) at the end of the RCT. For a two-sample t-test with alpha=0.05, this sample size gives a power of 90% of detecting a difference of Cohen's d = 0.40.

Conditions

• Multiple Sclerosis
• Insomnia

Interventions

Type	Name	Description
BEHAVIORAL	Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I)	dCBT-I during 9 weeks. Multicomponent intervention that includes the following: psychoeducation about sleep, sleep hygiene, sleep restriction therapy, stimulus control and challenging beliefs and perception about sleep. The digital CBT-I that will be utilized in this study is named Sleep Healthy Using The internet (SHUTi). The intervention is fully automated with no contact with health care personnel, it is interactive and adapts to input from the users. It comprises of the same elements included in face-to-face CBT-I, but the user gains access to a new educational, behavioral or cognitive module each week only after completion of digital sleep diaries. dCBT-I can be accessed on computers or hand-held devices
BEHAVIORAL	Digital patient education about insomnia (PE)	Control condition PE during 9 weeks. A digital patient education program that can be accessed on computers or hand-held devices. The information overlaps with that included in the dCBT-I intervention but it does not include any of the interactive features of the dCBT-I intervention and all the information is available from the moment the PE site is opened.

Timeline

• Start date: 2023-11-16
• Primary completion: 2026-02-10
• Completion: 2031-06-30
• First posted: 2023-11-02
• Last updated: 2026-03-30

Locations

1 site across 1 country: Norway