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Wearable Voice-Guided BBTi for Comorbid Insomnia and Sleep Apnea (COMISA)

Wearable Voice-Guided Brief Behavioral Therapy for Insomnia (BBTi) for Comorbid Insomnia and Sleep Apnea (COMISA): Effects on Insomnia Severity and CPAP Adherence From Mechanism Evaluation and Device Development to a Multicenter Randomized Controlled Trial

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07521319
Acronym
BBTi-COMISA
Enrollment
361
Registered
2026-04-09
Start date
2026-08-01
Completion date
2030-12-01
Last updated
2026-04-09

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

Conditions

Comorbid Insomnia and Sleep Apnea, Insomnia, Obstructive Sleep Apnea

Keywords

BBTi, COMISA, CPAP, Wearable Device, Sleep

Brief summary

This study investigates the efficacy of a wearable voice-guided Brief Behavioral Therapy for Insomnia (BBTi) combined with a smart eye-mask device for individuals with Comorbid Insomnia and Sleep Apnea (COMISA). The four-year study comprises three phases: (1) exploration of cognitive-emotion regulation-arousal system mechanisms in COMISA and pilot BBTi intervention testing, (2) development and usability testing of an integrated smart eye-mask with BBTi voice-guided modules, and (3) a multi-center randomized controlled trial (RCT) evaluating the combined BBTi plus smart eye-mask intervention versus BBTi alone, smart eye-mask alone, and standard sleep hygiene education in 160 COMISA participants. Primary outcomes include insomnia severity (ISI), daytime sleepiness (ESS), and CPAP adherence. The study aims to establish an evidence-based digital health intervention for improving sleep outcomes in COMISA patients.

Detailed description

Comorbid Insomnia and Sleep Apnea (COMISA) affects approximately 30-50% of OSA patients and is associated with more severe symptoms, poorer treatment outcomes, and greater functional impairment than either condition alone. Brief Behavioral Therapy for Insomnia (BBTi) has been shown effective for insomnia management in fewer sessions than traditional CBTi. This study combines BBTi with wearable technology - a smart eye-mask integrating voice-guided relaxation, thermal massage, and physiological monitoring via an actigraphy watch - to provide an accessible, home-based intervention. Phase 1 (Specific Aim 1, 2026-2027): A mixed-methods sequential explanatory design involving (a) a cross-sectional survey (n=181) examining dysfunctional beliefs about sleep (DBAS), cognitive emotion regulation (CERQ), arousal predisposition (APS), pre-sleep arousal (PSAS), insomnia severity (ISI), and daytime sleepiness (ESS) in insomnia-only versus COMISA patients; (b) qualitative interviews (n=10-15) exploring subjective experiences; and (c) a quasi-experimental pilot (n=40) testing 4-week BBTi in COMISA (n=20) versus insomnia-only (n=20) participants. Phase 2 (Specific Aim 2, 2028): Development of the integrated smart eye-mask system with BBTi voice-guided micro-learning modules (sleep hygiene, stimulus control, sleep restriction, relaxation/breathing training, positive emotion guidance), followed by expert review and usability testing with 10 COMISA participants. Phase 3 (Specific Aim 3, 2029-2030): A multi-center, parallel-group, double-blind RCT at National Cheng Kung University Hospital and Armed Forces Kaohsiung General Hospital (802). 160 COMISA participants are randomized to four arms: (1) BBTi + smart eye-mask, (2) BBTi alone, (3) smart eye-mask alone, (4) standard sleep hygiene education (control). Assessments at baseline, 4 weeks, and 1- and 3-month follow-ups include DBAS, CERQ, APS, PSAS, ISI, ESS, sleep diary, actigraphy parameters, HRV, and CPAP adherence.

Interventions

A 4-week structured behavioral sleep intervention including sleep hygiene education, sleep restriction, stimulus control, and relaxation/breathing training.

DEVICESmart Eye-Mask with Voice-Guided Modules

A wearable smart eye-mask device integrating thermal regulation (41-42C), air-pressure rhythmic eye massage (50-70 mmHg), and BBTi voice-guided micro-learning modules covering sleep hygiene, stimulus control, relaxation/breathing, body scan, and positive emotion guidance.

Sponsors

National Sun Yat-sen University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
20 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Age ≥20 years. * Obstructive sleep apnea (OSA) diagnosed by clinical polysomnography (PSG), defined as apnea-hypopnea index (AHI) ≥5 events/hour. * Insomnia disorder diagnosed by a physician according to DSM-5 criteria, with Insomnia Severity Index (ISI) score ≥15. * Able to understand study procedures and provide written informed consent.

Exclusion criteria

* Severe cognitive impairment, * Major psychiatric disorder, * Severe chronic illness (e.g., severe heart failure or receiving hemodialysis). * Other sleep disorders (e.g., restless legs syndrome, narcolepsy, circadian rhythm sleep-wake disorders). * Receipt of CBT-I, BBTi, or other behavioral sleep interventions within the past 3 months. * Pregnant or breastfeeding.

Design outcomes

Primary

MeasureTime frameDescription
Change in Insomnia Severity Index (ISI)_T0BaselineChange in insomnia severity measured by the ISI, a 7-item self-report questionnaire scored 0-28, with higher scores indicating more severe insomnia.
Change in Insomnia Severity Index (ISI)_T14 weeksChange in insomnia severity measured by the ISI, a 7-item self-report questionnaire scored 0-28, with higher scores indicating more severe insomnia.
Change in Insomnia Severity Index (ISI)_T21 months follow-upChange in insomnia severity measured by the ISI, a 7-item self-report questionnaire scored 0-28, with higher scores indicating more severe insomnia.
Change in Insomnia Severity Index (ISI)_T33 months follow-upChange in insomnia severity measured by the ISI, a 7-item self-report questionnaire scored 0-28, with higher scores indicating more severe insomnia.
Change in Arousal Predisposition Scale (APS)_T0BaselineChange in hyperarousal measured by the APS, an 12-item self-report questionnaire scored 12-60, with higher scores indicating greater daytime sleepiness.
Change in Arousal Predisposition Scale (APS)_T14 weeksChange in hyperarousal measured by the APS, an 12-item self-report questionnaire scored 12-60, with higher scores indicating greater daytime sleepiness.
Change in Arousal Predisposition Scale (APS)_T21 month follow-upChange in hyperarousal measured by the APS, an 12-item self-report questionnaire scored 12-60, with higher scores indicating greater daytime sleepiness.
Change in Arousal Predisposition Scale (APS)_T33 month follow-upChange in hyperarousal measured by the APS, an 12-item self-report questionnaire scored 12-60, with higher scores indicating greater daytime sleepiness.
Change in Pre-Sleep Arousal Scale (PSAS)_T0BaselineChange in pre-sleep arousal measured by the PSAS, an 16-item self-report questionnaire scored 16-80, with higher scores indicating higher pre-sleep arousal.
Change in Pre-Sleep Arousal Scale (PSAS)_T14 weeksChange in pre-sleep arousal measured by the PSAS, an 16-item self-report questionnaire scored 16-80, with higher scores indicating higher pre-sleep arousal.
Change in Pre-Sleep Arousal Scale (PSAS)_T21 month follow-upChange in pre-sleep arousal measured by the PSAS, an 16-item self-report questionnaire scored 16-80, with higher scores indicating higher pre-sleep arousal.
Change in Pre-Sleep Arousal Scale (PSAS)_T33 month follow-upChange in pre-sleep arousal measured by the PSAS, an 16-item self-report questionnaire scored 16-80, with higher scores indicating higher pre-sleep arousal.
Change in Cognitive Emotion Regulation Questionnaire (CERQ)_T0BaselineChange in cognitive emotion regulation measured by the CERQ, a 36-item self-report measure assessing nine cognitive emotion regulation strategies (four items per strategy). Items are rated on a 5-point Likert scale (1-5). Subscale scores are calculated by summing item scores; higher subscale scores indicate more frequent use of the corresponding strategy.
Change in Cognitive Emotion Regulation Questionnaire (CERQ)_T14 weeksChange in cognitive emotion regulation measured by the CERQ, a 36-item self-report measure assessing nine cognitive emotion regulation strategies (four items per strategy). Items are rated on a 5-point Likert scale (1-5). Subscale scores are calculated by summing item scores; higher subscale scores indicate more frequent use of the corresponding strategy.
Change in Cognitive Emotion Regulation Questionnaire (CERQ)_T21 month follow-upChange in cognitive emotion regulation measured by the CERQ, a 36-item self-report measure assessing nine cognitive emotion regulation strategies (four items per strategy). Items are rated on a 5-point Likert scale (1-5). Subscale scores are calculated by summing item scores; higher subscale scores indicate more frequent use of the corresponding strategy.
Change in Cognitive Emotion Regulation Questionnaire (CERQ)_T33 month follow-upChange in cognitive emotion regulation measured by the CERQ, a 36-item self-report measure assessing nine cognitive emotion regulation strategies (four items per strategy). Items are rated on a 5-point Likert scale (1-5). Subscale scores are calculated by summing item scores; higher subscale scores indicate more frequent use of the corresponding strategy.
Change in subjective sleep diary_T0BaselineChange in subjective sleep quality measured by the self-report sleep diary. Participants will complete a daily sleep diary to assess subjective sleep. Recorded items include bedtime, sleep onset time, number of awakenings, final awakening time, time out of bed, and self-rated sleep quality (1-10, with higher scores indicating better sleep quality).
Change in subjective sleep diary_T14 weeksChange in subjective sleep quality measured by the self-report sleep diary. Participants will complete a daily sleep diary to assess subjective sleep. Recorded items include bedtime, sleep onset time, number of awakenings, final awakening time, time out of bed, and self-rated sleep quality (1-10, with higher scores indicating better sleep quality).
Change in subjective sleep diary_T21 month follow-upChange in subjective sleep quality measured by the self-report sleep diary. Participants will complete a daily sleep diary to assess subjective sleep. Recorded items include bedtime, sleep onset time, number of awakenings, final awakening time, time out of bed, and self-rated sleep quality (1-10, with higher scores indicating better sleep quality).
Change in subjective sleep parameter_T33 month follow-upChange in subjective sleep parameter measured by the self-report sleep diary. Participants will complete a daily sleep diary to assess subjective sleep. Recorded items include bedtime, sleep onset time, number of awakenings, final awakening time, time out of bed, and self-rated sleep quality (1-10, with higher scores indicating better sleep quality).
Change in Epworth Sleepiness Scale (ESS)_T0BaselineChange in daytime sleepiness measured by the ESS, an 8-item self-report questionnaire scored 0-24, with higher scores indicating greater daytime sleepiness.
Change in Epworth Sleepiness Scale (ESS)_T14 weeksChange in daytime sleepiness measured by the ESS, an 8-item self-report questionnaire scored 0-24, with higher scores indicating greater daytime sleepiness.
Change in Epworth Sleepiness Scale (ESS)_T21 month follow-upChange in daytime sleepiness measured by the ESS, an 8-item self-report questionnaire scored 0-24, with higher scores indicating greater daytime sleepiness.
Change in Epworth Sleepiness Scale (ESS)_T33 months follow-upChange in daytime sleepiness measured by the ESS, an 8-item self-report questionnaire scored 0-24, with higher scores indicating greater daytime sleepiness.
Change in objective sleep parameter(total sleep time)_T0BaselineChange in objective sleep parameters measured by actigraphy. Total sleep time (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(total sleep time)_T14 weeksChange in objective sleep parameters measured by actigraphy. Total sleep time (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(total sleep time)_T21 months follow-upChange in objective sleep parameters measured by actigraphy. Total sleep time (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(total sleep time)_T33 months follow-upChange in objective sleep parameters measured by actigraphy. Total sleep time (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep latency)_T0BaselineChange in objective sleep parameters measured by actigraphy. Sleep latency (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep latency)_T14 weeksChange in objective sleep parameters measured by actigraphy. Sleep latency (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep latency)_T21 month follow-upChange in objective sleep parameters measured by actigraphy. Sleep latency (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep latency)_T33 month follow-upChange in objective sleep parameters measured by actigraphy. Sleep latency (minutes) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(number of awakenings)_T0BaselineChange in objective sleep parameters measured by actigraphy. Number of awakenings (counts) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(number of awakenings)_T14 weeksChange in objective sleep parameters measured by actigraphy. Number of awakenings (counts) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(number of awakenings)_T21 month follow-upChange in objective sleep parameters measured by actigraphy. Number of awakenings (counts) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(number of awakenings)_T33 month follow-upChange in objective sleep parameters measured by actigraphy. Number of awakenings (counts) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep efficiency)_T0BaselineChange in objective sleep parameters measured by actigraphy. Sleep efficiency (%) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep efficiency)_T14 weeksChange in objective sleep parameters measured by actigraphy. Sleep efficiency (%) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep efficiency)_T21 month follow-upChange in objective sleep parameters measured by actigraphy. Sleep efficiency (%) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
Change in objective sleep parameter(sleep efficiency)_T33 month follow-upChange in objective sleep parameters measured by actigraphy. Sleep efficiency (%) is automatically calculated and exported by the actigraphy device using its built-in algorithms.
CPAP Adherence_T0BaselineCPAP usage compliance measured as the percentage of nights with CPAP use of 4 or more hours divided by total nights multiplied by 100%.
CPAP Adherence_T14 weeksCPAP usage compliance measured as the percentage of nights with CPAP use of 4 or more hours divided by total nights multiplied by 100%.
CPAP Adherence_T21 month follow-upCPAP usage compliance measured as the percentage of nights with CPAP use of 4 or more hours divided by total nights multiplied by 100%.
CPAP Adherence_T33 month follow-upCPAP usage compliance measured as the percentage of nights with CPAP use of 4 or more hours divided by total nights multiplied by 100%.

Contacts

CONTACTYen-Chin Chen
yenchin2427@gmail.com0963412677

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 10, 2026