Using Sleep Wearables to Adapt Cognitive-behavioral Therapy for Insomnia in the Context of Depression (CBTiA)

1. Background Insomnia is a major public health burden that disproportionately affects individuals with depression. Sleep disturbances are present in approximately 80-90% of cases of depression and are associated with more severe depressive symptoms, a less favorable prognosis, more medical and psychiatric comorbidities and a lower quality of life. Physiological hyperarousal, an abnormal state of increased responsiveness to stimuli marked by various physiological and psychological symptoms, is one of the pathophysiological mechanisms common to insomnia and depression. This state of hyperarousal is perceptible at the level of cortical activation and heart rate (HR) during sleep. Considering this overlapping of underlying mechanisms, intervening with sleep represents a promising way to simultaneously target cortical and cardiac hyperarousal, insomnia, and mood. CBTi is the recommended first line of treatment for chronic insomnia and is associated with significant improvement in depressive symptoms. CBTi is a multicomponent cognitive and behavioral treatment that targets the maladaptive thoughts and behaviors associated with the maintenance of insomnia. It includes five distinct intervention components, namely sleep hygiene education, cognitive therapy, relaxation training, stimulus control, and sleep restriction therapy. Sleep restriction therapy is one of the central components of CBTi which aims to restrict the time spent in bed according to a specific time window. This window is determined from the individual's sleep diary which is a subjective measure of sleep. As sleep estimation is particularly biased in those with insomnia and a depressive comorbidity, the use of sleep diaries is likely to increase stress and treatment-related burden as well as limit the accuracy of CBTi sleep manipulations. Another important limitation of CBTi in the context of psychiatric comorbidities is the high demand for this type of treatment in clinical settings coupled with the lack of trained clinicians which considerably restricts accessibility. The emergence of accurate ambulatory sleep monitors and of effective digitally delivered CBTi thus represents a new opportunity to increase access to CBTi, to anchor sleep restriction therapy on objective sleep measures and to observe changes happening at a physiological-level during treatment. To date, few studies have investigated the practical implications of wearable devices and digital technology in behavioral sleep medicine, especially with clinical populations. As highlighted in a recent systematic review, there is now a need to investigate whether the use of objective sleep data has the possibility to enhance the therapeutic outcomes associated with behavioral sleep interventions. A large clinical trial comparing treatment outcomes in users and non-users of wearable devices completing an eCBTi program showed similar treatment effects on insomnia symptoms. The authors concluded that the use of wearables may facilitate treatment for individuals who may have a difficult time completing daily sleep diaries. This has yet to be investigated in individuals with depression for whom sleep estimation represents an important struggle.
2. Objectives Primary aim:
3. Evaluate if the use of objective sleep measures to adjust the sleep restriction window during CBTi enhances treatment acceptability, satisfaction, and effectiveness in people with insomnia and major depression; Secondary aims:
4. Characterize the potential discrepancy between objective/subjective sleep measures in people with insomnia and major depression; C) Determine if the degree of discrepancy between objective/subjective sleep measures influences treatment acceptability, satisfaction, and efficacy; D) Characterize participant's experiences throughout the intervention and feedback about potential adaptations to better address challenges linked to insomnia treatment in the context of co-existing depression.
5. Delineate how sleep EEG and HR profiles (measured prior to the intervention) relate to the nature and severity of depression and insomnia symptoms; F) Confirm the effects of eCBTi on the sleep EEG and HR indices linked to poor cardiovascular health, and mental health; G) Investigate the sleep EEG and HR correlates of eCBTi treatment response in terms of insomnia and depression symptoms; H) Identify potential physiological features in the EEG and HR profiles in pre-sleep wakefulness and during sleep that may be predictive of treatment response.
6. Methods

Participants will be allocated through randomization stratified by sex to one of two intervention arms: 1) eCBTi based on objective ambulatory sleep monitoring (eCBTi-obj) or 2) eCBTi based on subjective sleep diaries (eCBTi-subj; i.e. typical CBTi method). All intervention arms will be delivered as adjuncts to standard clinical care using the same smartphone application over a 5-week period. All researchers involved in psychiatric assessments will be blind to the intervention arms.

3.1 Recruitment, Consent, and Screening Recruitment will be achieved through institutional 'Permission to contact" registries, as well as through external recruitment with advertisements distributed via web-based platforms. Clinicians from affiliated institutions may also provide information about the study to their patients.

A research assistant will contact potential participants by email to send them a summary of the study and a link to complete an anonymous online screening form for the first set of eligibility criteria on a secured web platform (Qualtrics). The first question of this online form will ask participants to confirm they consent to take part to the screening process. This screening form will include the WHO-ASSIST item 2, Sleep Disorders Symptoms Checklist-25 (SDS-CL-25), Sleep Condition Indicator (SCI), Patient Health Questionnaire (PHQ-9). If the questionnaires indicate that the first set of eligibility criteria are met, the participant will be invited for the second and last screening step: a screening phone interview (based on the M.I.N.I.).

For participants found to be eligible after the screening phone interview, the research assistant will summarize the next steps of the study verbally and address any questions or concerns that participants may have at the end of the phone interview. Special care will be given to ensure that participants understand that their participation is entirely voluntary and that they can withdraw from the study at any stage. Eligible participants will be sent an electronic form containing the information and consent form (ICF). As part of that same electronic form, they will confirm consent by ticking consent boxes and entering their full name. Ongoing consent will also be obtained electronically at the follow-up time points.

3.2 Data collection and management

3.2.1. Baseline assessment Eligible participants will come on site to collect equipment to undergo 7-days of home-based ambulatory monitoring. They will return this equipment to the laboratory at the end of the week. The ambulatory equipment will include an EEG headband device (Muse S, InteraXon, Toronto, Canada) to be worn each night. They will also be lent a small sensor to be fixed on the abdomen using hypo-allergic tape to monitor skin temperature (i-button) and a Micro Motionlogger actigraphy watch, both to be worn across the 24-hour cycle for the entire duration of the week. During this period, participants will fill a daily sleep log (containing the core elements of the ''Consensus Sleep Diary''). Participants will be instructed on how to use this equipment on brief pre-recorded online videos.

On the seventh (last) day of the ambulatory monitoring period, participants will be asked to fill out a battery of questionnaires. This will inquire about general demographic and clinical information, sleep, daytime functioning, and mental health. They will also complete two 10-minute resting state EEG recordings from home: i) 30 minutes before sleep on the evening of the seventh day, and ii) 30 minutes after waking up on the following morning.

They will then return to the Sleep Research Unit to return the equipment and undergo further assessment with the Hamilton Depression Rating Scale (HDRS). They will be asked additional questions about the course of their mental disorders, including age at onset and duration of longest episode (inspired from the Diagnostic interview for genetic studies), as well as the proportion of time with depressive symptoms over the past 1, 5 and 10 years.

3.2.2. Experimental conditions Following baseline monitoring and questionnaires, participants will be randomly assigned to one of two intervention arms: eCBTi based on objective sleep measures (eCBTi-obj) or eCBTi based on standard subjective sleep measures (eCBTi-subj). The randomization process will be done by a computer-generated randomizer, stratified by sex. This will be managed by a research collaborator who will not be directly involved in clinical assessments or data processing. All researchers involved in clinical assessments or data processing will be blinded to the assignment of these different conditions.

The eCBTi intervention will be delivered from home across 5-weeks via the Insomnia Coach mobile application (U.S. Department of Veterans Affairs, Washington, USA). This eCBTi program is based on the CBTi Coach mobile application (U.S. Department of Veterans Affairs, Washington, USA) and the manual Cognitive Behavioral Therapy for Insomnia in Veterans. The mobile application contains all the standard CBTi interventions and includes reading material, auditory recordings, personalized feedback, as well as interactive components such as relaxation exercises and reminders.

Following the first intervention week, a sleep restriction window will be recommended for each participant. This sleep window will be determined based on the average total sleep time over the past week as recorded either by the Muse S Headband and scored by the automated scoring algorithm (eCBTi-obj group) or the sleep diaries (eCBTi-subj group). Following the initial sleep window recommendation, the sleep window will be adjusted weekly according to the past week's sleep efficiency (SE). If SE is equal to or above 90%, time in bed (TIB) will be increased by 15 minutes. If SE is between 85-89%, there will be no change to the prescribed sleep window for that week. If SE is below 85%, TIB will be decreased by 15 minutes. In all cases, the minimum sleep window will be 5 hours.

Throughout treatment, the eCBTi-obj group will wear the Muse S Headband and receive weekly feedback on their objective sleep data. Participants in the eCBTi-subj arm will not be wearing the headband and will be asked not to consult data from any other sleep monitor.

3.2.3. Follow-up measures Acceptability and satisfaction will be measured based on dropout rates. The day after the last intervention session, all participants will fill out, from home, a set of post-treatment questionnaires including questionnaires assessing treatment adherence (Modified Treatment Satisfaction Scale) and satisfaction (Treatment Component Adherence Scale) (about 1 hour). They will return to the Sleep Research Unit to undergo an in-person follow-up psychiatric assessment with the HDRS and a semi-structured exit interview to gather further insights (about 20 minutes). This will aim to gather feedback on participant's experiences throughout the intervention and potential adaptations to better address challenges linked to insomnia treatment in the context of co-existing depression. Before leaving the lab, participants will collect the equipment to complete another week of ambulatory monitoring from home with the Muse S Headband, iButton, Micro Motionlogger watch, and sleep log.

The questionnaires and HDRS will be repeated to evaluate sustained effects 1 week after the last day of intervention and 4 weeks after the last day of intervention.