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DOZE Sleep App for Youth With Sleep Disturbance

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT03960294
Recruitment Status : Unknown
Verified May 2019 by Colleen Carney, Ryerson University.
Recruitment status was:  Not yet recruiting
First Posted : May 23, 2019
Last Update Posted : May 23, 2019
Sponsor:
Information provided by (Responsible Party):
Colleen Carney, Ryerson University

Brief Summary:

Insomnia is a highly prevalent problem among adolescents and young adults (AYAs) with mental health issues. Although evidence-based treatments to quickly address insomnia exist, access to such treatments is limited and there is very little research in AYAs. Furthermore, some of the sleep problems of AYA are unique (e.g., voluntary sleep restriction, circadian phase delay, very poor sleep hygiene), so pediatric and adult programs are not suitable for this age group. This study will test an innovative program that consists of an integrated smart phone application (app) and web self-management system ("DOZE") to help adolescents and young adults sleep better. The first phase of this project, now completed, involved interviewing primary stakeholders of the app (AYAs) to evaluate a low-fidelity prototype of the app and to gather information regarding their opinion about what tools participants would use to improve their health and/or sleep. Using the data from phase I, the investigators have created an app that is acceptable, useful and easy to use while meeting the needs of AYAs experiencing sleep problems. In this study, the investigators will conduct an open trial of the app with 145 AYAs to evaluate usability, acceptability, and sleep and corollary outcomes using a mixed methods design.

The investigators hypothesize:

  1. That participants (AYAs) will find the app satisfactory and credible;
  2. DOZE will effect sleep-related behaviour change;
  3. DOZE will contribute to improvements in energy, mood, and perceived quality of life.

Exploratory analyses will also be conducted to evaluate which aspects of DOZE participants (AYAs) found most helpful.


Condition or disease Intervention/treatment Phase
Insomnia Other: DOZE Sleep App Not Applicable

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Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 145 participants
Allocation: N/A
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Treatment
Official Title: Evidence-Based e-Health Solutions for Youth With Mental Illness - Phase II
Estimated Study Start Date : June 2019
Estimated Primary Completion Date : February 2020
Estimated Study Completion Date : March 2020

Arm Intervention/treatment
Experimental: DOZE Users
Adolescents and young adults (AYAs) using DOZE for sleep disturbance.
Other: DOZE Sleep App
DOZE is an evidence-based cognitive behavioural therapy for insomnia app created specifically for use with adolescents and young adults.




Primary Outcome Measures :
  1. Treatment Evaluation Questionnaire [ Time Frame: Endpoint (week 4 or later) ]
    A quantitative questionnaire consisting of 5 questions evaluating treatment credibility. Scores range from 5 to 35, with higher scores indicating a more favourable evaluation of treatment.

  2. Acceptability E-Scale [ Time Frame: Endpoint (week 4 or later) ]
    A quantitative questionnaire, created for the purposes of this study, consisting of 6 questions assessing the acceptability of the app (helpfulness, usefulness, understandability, ease of use, enjoyment, and overall satisfaction) using a 5-point Likert scale. Scores range from 5 to 30, with higher scores indicating greater acceptability of the app.

  3. Qualitative Assessment: Post-Test [ Time Frame: Endpoint (week 4 or later) ]
    A qualitative questionnaire, created for the purposes of this study, consisting of 4 open-ended questions to obtain feedback on the app. Because of its qualitative nature, no scores are associated with this outcome; rather, this assessment will be used to receive open-ended feedback from the participants about the aspects of the app that they did and did not like.


Secondary Outcome Measures :
  1. Google Analytics: time spent on each app page [ Time Frame: Everyday for duration of study participation (i.e., week 0 to week 4 or later) ]
    Google Analytics will be used to track the time spent by each participant on each page/area of the app. This information will be used qualitatively to understand which aspects of the app were found least/most helpful.

  2. Google Analytics: number of times app logged in [ Time Frame: Everyday for duration of study participation (i.e., week 0 to week 4 or later) ]
    Google Analytics will be used to track the number of times each participant logged into the app. Greater adherence to app use (and daily sleep tracking) indicates greater acceptability of the app.

  3. Google Analytics: number of times app used [ Time Frame: Everyday for duration of study participation (i.e., week 0 to week 4 or later) ]
    Google Analytics will be used to track the number of times participants used the app. Greater app use indicates greater acceptability of the app. Google Analytics will provide a count of the number of times the app was accessed.

  4. Google Analytics: number of quizzes completed [ Time Frame: Everyday for duration of study participation (i.e., week 0 to week 4 or later) ]
    Google Analytics will be used to track the number of quizzes each participant completed. Quizzes are included in the app under the "Tips" heading, and include questions that related to chronotype, difficulty winding down, difficulty getting up, sleep drunkenness, trouble staying awake, and fatigue. Quizzes are an optional feature of the app which are used to provide participants with psychoeducation about these topics and how they relate to symptoms of sleep disturbance.

  5. Sleep diary parameters [ Time Frame: Everyday for duration of study participation (i.e., week 0 to week 4 or later) ]
    Data extracted from sleep diaries, including variability in bedtime, variability in rise time, total sleep time, total time in bed, sleep onset latency, wake after sleep onset, number of awakenings, naps

  6. Center for Epidemiological Studies Depression Scale-Revised (9 items) [ Time Frame: Baseline (week 0) and endpoint (week 4 or later) ]
    Scores range from 0 to 36, with higher scores indicating more severe depressive symptoms.

  7. State-Trait Inventory of Cognitive and Somatic Anxiety [ Time Frame: Baseline (week 0) and endpoint (week 4 or later) ]
    This measure includes two scales: a state scale (with scores ranging from 21 to 84) and a trait scale (with scores ranging from 21 to 84). Higher scores on both scales indicate more severe symptoms of anxiety.

  8. Fatigue Severity Scale [ Time Frame: Baseline (week 0) and endpoint (week 4 or later) ]
    A total score is computed by summing all of the items (range: 9 to 63) and dividing the score by the number of items to yield an item average. Average scores range from 1 to 7, with higher average scores indicating more impairment due to fatigue.

  9. Cleveland Adolescent Sleepiness Scale [ Time Frame: Baseline (week 0) and endpoint (week 4 or later) ]
    Scores range from 0 to 64, with higher scores indicating greater sleepiness.

  10. Medical Outcomes Study Questionnaire Short Form 36 Health Survey (SF-36) [ Time Frame: Baseline (week 0) and endpoint (week 4 or later) ]
    Assesses health-related quality of life using 8 subscales: vitality, physical functioning, bodily pain, general, health perceptions, physical role functioning, emotional role functioning, social role functioning, mental health. Items in which higher scores indicate better functioning are reverse scored when creating subscale scores. Subscale scores are converted to T scores ranging from 0 to 100, with higher scores indicating worse functioning.



Information from the National Library of Medicine

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Ages Eligible for Study:   15 Years to 24 Years   (Child, Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Criteria

Inclusion Criteria:

  • Age between 15 and 24 years
  • Experiencing sleep disturbance

Exclusion Criteria:

  • None

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03960294


Contacts
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Contact: Olya Bogouslavsky, MPH 4169795000 ext 2185 olya@arts.ryerson.ca
Contact: Nicole E Carmona, BSc 4169795000 ext 2185 nicole.carmona@psych.ryerson.ca

Locations
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Canada, Ontario
Ryerson University
Toronto, Ontario, Canada, M5B2K3
Contact: Colleen Carney, PhD    416-979-5000 ext 2177    ccarney@ryerson.ca   
Contact: Olya Bogouslavsky, MPH    416-979-5000 ext 2185    olya@ryerson.ca   
Sponsors and Collaborators
Ryerson University
Investigators
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Principal Investigator: Colleen E Carney, PhD Ryerson University
Publications:
Speth TA, Coulombe JA, Markovich AN, Chambers CT, Godbout R, Gruber R, Hall WA, Reid GJ, Stremler R, Weiss SK, Witmans M, Corkum PV. Barriers, facilitators, and usability of an Internet intervention for children aged 1 to 10 years with insomnia. Translational Issues in Psychological Science 1(1): 16-31, 2015.

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
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Responsible Party: Colleen Carney, Associate Professor, Ryerson University
ClinicalTrials.gov Identifier: NCT03960294    
Other Study ID Numbers: 348431
First Posted: May 23, 2019    Key Record Dates
Last Update Posted: May 23, 2019
Last Verified: May 2019
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Colleen Carney, Ryerson University:
Insomnia
Adolescents
Young Adults
Additional relevant MeSH terms:
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Sleep Initiation and Maintenance Disorders
Sleep Disorders, Intrinsic
Dyssomnias
Sleep Wake Disorders
Nervous System Diseases
Mental Disorders