Improving Sleep With a Digital Cognitive Behavioral Therapy for Insomnia Application

NCT ID: NCT05991492

Last Updated: 2026-01-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Clinical Phase

NA

Total Enrollment

60 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-02-13

Study Completion Date

2026-07-31

Brief Summary

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Insomnia is an important public health problem and the most common sleep disorder in the general population. Up to 20% of adults in the United States suffer from insomnia disorder, and it has been associated with increased morbidity, mortality, and healthcare costs. Cognitive behavioral therapy for insomnia (CBT-I) is the initial recommended treatment approach for insomnia. Combined therapy with CBT-I and medication has shown no advantage over CBT-I alone. CBT-I is not always accessible to patients, however, due to cost and availability of trained healthcare professionals. Web-based CBT-I is an inexpensive and effective self-management tool for treatment of insomnia.

This pilot study would test the efficacy of a new digital CBT-I application called Stellar Sleep, a cost effective and user-friendly version of wCBT-I, in patients with insomnia. This is the first digital CBT-I app that allows automatic entry of sleep diary data from wearable devices that track sleep (such as the Mi Band 5 or a FitBit, for instance). Testing the efficacy of this application will provide the preliminary data necessary for larger trials to further validate the application and determine its role for future patients. Use of this application can help bridge the gap in providing care to insomnia patients with transportation and cost barriers and to accommodate the long wait times for traditional in-person CBT-I. It will also be the first web-based CBT-I application that can directly upload data from a wearable device.

Detailed Description

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Conditions

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Insomnia

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Web-based Cognitive Behavioral Therapy for Insomnia (wCBT-I) with general sleep education

Group Type ACTIVE_COMPARATOR

Web-based Cognitive Behavioral Therapy for Insomnia (wCBT-I

Intervention Type DEVICE

Digital insomnia treatment

General Sleep Education

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Web-based Cognitive Behavioral Therapy for Insomnia (wCBT-I

Digital insomnia treatment

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* 18 years or older
* Daily access to a computer or smartphone with reliable internet connection

Exclusion Criteria

* Currently pregnant or planning to become pregnant in the next year
* Visual impairment that prevents use of a computer
* Serious health conditions that will prevent taking part in the study over the next 3 - 6 months, such as severe medical or psychiatric disease, such as treatments for cancer or congestive heart failure, OR a condition that may require hospitalization or surgery
* Self-reported history of drowsy driving or fallen asleep while driving
* Night shift worker
* Prior exposure to Cognitive Behavioral Therapy for Insomnia (CBT-I) treatment
* Insomnia severity index score \< 12
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Brigham and Women's Hospital

OTHER

Sponsor Role lead

Responsible Party

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Sogol Javaheri

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Brigham and Women's Hospital

Boston, Massachusetts, United States

Site Status

Countries

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United States

Other Identifiers

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2023P001950

Identifier Type: -

Identifier Source: org_study_id

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