- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06926348
Assessment of Usability and Preliminary Effectiveness of a Digital Sleep Aid in an Italian Sample (REST)
Usability, Acceptability, and Preliminary Effectiveness of a Digital Health Technology for Patient Monitoring of Chronic Insomnia Symptoms and the Promotion of Functional Sleep Behaviors: A Randomized Clinical Trial
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This randomized controlled pilot trial evaluates a Digital Health Technology (DHT) developed as a Health & Wellness tool aimed at supporting individuals diagnosed with chronic insomnia. Chronic insomnia significantly impacts quality of life and poses a considerable burden on healthcare systems. Despite Cognitive Behavioral Therapy for Insomnia (CBT-I) being the recommended first-line treatment, its limited accessibility in Italy necessitates scalable and innovative solutions. The DHT under investigation is a mobile application developed collaboratively by the University of Verona and private-sector partners, designed specifically for educational purposes and the promotion of healthy sleep behaviors.
The intervention is structured over an 8-week period, during which participants are expected to engage daily with the application. The DHT includes several core functionalities:
Digital Sleep Diaries: Participants document their sleep habits daily, including sleep onset latency, total sleep duration, wake after sleep onset, and sleep efficiency. This self-monitoring aims to increase sleep-awareness and encourage consistent engagement with healthy sleep behaviors.
Personalized Educational Content: Users gain access to educational modules designed according to CBT-I principles. Topics include optimizing the sleep environment, maintaining consistent sleep schedules, managing lifestyle factors affecting sleep, and addressing common misconceptions about sleep.
Relaxation and Mindfulness Exercises: The app provides guided audio and video exercises focusing on relaxation techniques such as deep breathing and progressive muscle relaxation, alongside mindfulness practices intended to reduce pre-sleep arousal and facilitate better sleep.
Interactive Chatbot: An integrated conversational agent assists users in navigating app functionalities, provides personalized reminders, motivational feedback, and real-time assistance, enhancing user engagement and compliance.
Participants (N=50) are recruited from the outpatient clinic at Borgo Roma Hospital, Verona. Eligible individuals are randomly assigned in a 1:1 ratio to either receive the DHT intervention combined with Treatment as Usual (DHT + TAU), or Treatment as Usual (TAU) alone. TAU involves standardized educational materials on sleep hygiene practices provided via printed booklets and continued management under the patient's usual healthcare provider.
Assessments are conducted at baseline (T0), immediately post-intervention (T1), and at a 6-month follow-up (T2). Primary outcomes focus on usability and acceptability, measured by the User Experience Questionnaire (UEQ), digital engagement metrics, and adherence to sleep hygiene practices via the Sleep Hygiene Index (SHI). Secondary outcomes assess preliminary efficacy regarding insomnia severity (Insomnia Severity Index - ISI), mood disturbances (Hospital Anxiety and Depression Scale - HADS), and overall health-related quality of life (Short Form Health Survey - SF-12).
Data collection employs the secure LimeSurvey platform to ensure participant confidentiality and data protection according to GDPR standards. Data analysis includes Linear Mixed Effects Models, exploratory analyses for identifying predictors of treatment response, and sensitivity analyses for assessing robustness of findings.
This feasibility trial aims to inform future large-scale studies by evaluating the potential benefits and limitations of using a scalable, non-medical DHT in the routine management of chronic insomnia. Results are anticipated to contribute substantially to the evidence base supporting digital interventions as viable adjuncts to standard care for insomnia.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Elena Antelmi, Professor - Neurology
- Phone Number: +393293526335
- Email: elena.antelmi@univr.it
Study Contact Backup
- Name: Giacomo Carollo, MSc - Psychology
- Phone Number: +393454361133
- Email: giacomo.carollo@univr.it
Study Locations
-
-
-
Verona, Italy, 37129
- Recruiting
- Ospedale Borgo Roma - Neurologia B
-
Contact:
- Giacomo Carollo, MSc - Psychology
- Phone Number: +393454361133
- Email: giacomo.carollo@univr.it
-
Contact:
- Elena Antelmi, Professor - Neurology
- Phone Number: 3293526335
- Email: elena.antelmi@univr.it
-
Contact:
- Elena Antelmi, Professor - Neurology
-
Contact:
- Giacomo Carollo, MSc - Psychology
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Adults aged 18 to 70 years
- Diagnosis of chronic insomnia according to DSM-5 criteria
- Willingness to participate in the study and provide informed consent
- Personal active email address
- Ownership of a compatible mobile device with internet access (for the DHT group)
Exclusion Criteria:
- Medical conditions requiring hospital admission during the study period
- Comorbid diagnosis of sleep-related breathing disorders
- Neurological disorders affecting sleep (e.g., narcolepsy, parasomnias, epilepsy, neurodegenerative diseases)
- Currently receiving psychological treatment for insomnia or planning to do so within the next 6 months
- Incompatible smartphone or lack of internet access (for DHT group)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Digital Health Technology (DHT) + Treatment As Usual (TAU)
Participants in this arm receive an 8-week intervention involving a mobile app designed for chronic insomnia management.
The app includes digital sleep diaries, personalized sleep hygiene education, cognitive strategies, relaxation and mindfulness exercises, and an interactive chatbot for enhanced engagement.
This intervention complements standard treatment (TAU), which may include pharmacotherapy and routine clinical care.
|
A mobile application designed to support chronic insomnia management through digital self-monitoring of sleep patterns, personalized sleep hygiene education, cognitive strategies, relaxation and mindfulness exercises, and chatbot interactions.
Users receive tailored notifications and educational content to encourage healthy sleep behaviors over an 8-week period.
Existing pharmacological treatments prescribed prior to study enrollment continue unchanged
|
|
Active Comparator: Treatment As Usual (TAU)
Participants assigned to this arm continue their usual insomnia management, including pharmacological treatments if prescribed, and receive standardized educational material on sleep hygiene practices via a printed booklet.
They also maintain printed sleep diaries for self-monitoring throughout the 8-week study period.
|
Participants receive standard sleep hygiene recommendations via a printed educational booklet.
They maintain printed sleep diaries for daily self-monitoring throughout the 8-week intervention.
Existing pharmacological treatments prescribed prior to study enrollment continue unchanged.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Usability and Acceptability of Digital Health Technology (DHT)
Time Frame: After 8 weeks of intervention (T1)
|
Usability and acceptability measured by the User Experience Questionnaire (UEQ) and digital engagement metrics, including app access frequency, session duration, notification interactions, and drop-out rates.
|
After 8 weeks of intervention (T1)
|
|
Adherence to Sleep Hygiene Practices
Time Frame: Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
Change in adherence to recommended sleep hygiene behaviors assessed through the Sleep Hygiene Index (SHI).
|
Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Insomnia Severity Index (ISI)
Time Frame: Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
Change in insomnia severity measured using the Insomnia Severity Index, evaluating subjective sleep disturbance and related daytime impairment.
|
Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
|
Mood and Emotional Distress
Time Frame: Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
Change in anxiety and depression symptoms assessed using the Hospital Anxiety and Depression Scale (HADS).
|
Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
|
Health-Related Quality of Life
Time Frame: Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
Change in quality of life across multiple dimensions (e.g., physical functioning, emotional wellbeing) assessed using the Short Form Health Survey (SF-12).
|
Baseline (T0), after 8 weeks (T1), and at 6-month follow-up (T2)
|
Collaborators and Investigators
Publications and helpful links
General Publications
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- Riemann D, Espie CA, Altena E, Arnardottir ES, Baglioni C, Bassetti CLA, Bastien C, Berzina N, Bjorvatn B, Dikeos D, Dolenc Groselj L, Ellis JG, Garcia-Borreguero D, Geoffroy PA, Gjerstad M, Goncalves M, Hertenstein E, Hoedlmoser K, Hion T, Holzinger B, Janku K, Jansson-Frojmark M, Jarnefelt H, Jernelov S, Jennum PJ, Khachatryan S, Krone L, Kyle SD, Lancee J, Leger D, Lupusor A, Marques DR, Nissen C, Palagini L, Paunio T, Perogamvros L, Pevernagie D, Schabus M, Shochat T, Szentkiralyi A, Van Someren E, van Straten A, Wichniak A, Verbraecken J, Spiegelhalder K. The European Insomnia Guideline: An update on the diagnosis and treatment of insomnia 2023. J Sleep Res. 2023 Dec;32(6):e14035. doi: 10.1111/jsr.14035.
- Watanabe Y, Kuroki T, Ichikawa D, Ozone M, Uchimura N, Ueno T. Effect of smartphone-based cognitive behavioral therapy app on insomnia: a randomized, double-blind study. Sleep. 2023 Mar 9;46(3):zsac270. doi: 10.1093/sleep/zsac270.
- Terzano MG, Parrino L, Cirignotta F, Ferini-Strambi L, Gigli G, Rudelli G, Sommacal S; Studio Morfeo Committee. Studio Morfeo: insomnia in primary care, a survey conducted on the Italian population. Sleep Med. 2004 Jan;5(1):67-75. doi: 10.1016/j.sleep.2003.09.006.
- Spielman AJ, Caruso LS, Glovinsky PB. A behavioral perspective on insomnia treatment. Psychiatr Clin North Am. 1987 Dec;10(4):541-53.
- Shamim SA, Warriach ZI, Tariq MA, Rana KF, Malik BH. Insomnia: Risk Factor for Neurodegenerative Diseases. Cureus. 2019 Oct 26;11(10):e6004. doi: 10.7759/cureus.6004.
- Schuffelen J, Maurer LF, Lorenz N, Rotger A, Pietrowsky R, Gieselmann A. The clinical effects of digital cognitive behavioral therapy for insomnia in a heterogenous study sample: results from a randomized controlled trial. Sleep. 2023 Nov 8;46(11):zsad184. doi: 10.1093/sleep/zsad184.
- Palagini L, Piarulli A, Menicucci D, Cheli E, Lai E, Bergamasco M, Mauri M, Kyle SD, Espie CA, Gemignani A. Metacognitive beliefs relate specifically to sleep quality in primary insomnia: a pilot study. Sleep Med. 2014 Aug;15(8):918-22. doi: 10.1016/j.sleep.2014.03.017. Epub 2014 May 9.
- Ning Y, Teixayavong S, Shang Y, Savulescu J, Nagaraj V, Miao D, Mertens M, Ting DSW, Ong JCL, Liu M, Cao J, Dunn M, Vaughan R, Ong MEH, Sung JJ, Topol EJ, Liu N. Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist. Lancet Digit Health. 2024 Nov;6(11):e848-e856. doi: 10.1016/S2589-7500(24)00143-2. Epub 2024 Sep 17. Erratum In: Lancet Digit Health. 2024 Nov;6(11):e777. doi: 10.1016/S2589-7500(24)00220-6.
- Muench A, Vargas I, Grandner MA, Ellis JG, Posner D, Bastien CH, Drummond SP, Perlis ML. We know CBT-I works, now what? Fac Rev. 2022 Feb 1;11:4. doi: 10.12703/r/11-4. eCollection 2022.
- Mayer G, Jennum P, Riemann D, Dauvilliers Y. Insomnia in central neurologic diseases--occurrence and management. Sleep Med Rev. 2011 Dec;15(6):369-78. doi: 10.1016/j.smrv.2011.01.005. Epub 2011 Apr 9.
- Maurer LF, Espie CA, Kyle SD. How does sleep restriction therapy for insomnia work? A systematic review of mechanistic evidence and the introduction of the Triple-R model. Sleep Med Rev. 2018 Dec;42:127-138. doi: 10.1016/j.smrv.2018.07.005. Epub 2018 Sep 1.
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- Erten Uyumaz B, Feijs L, Hu J. A Review of Digital Cognitive Behavioral Therapy for Insomnia (CBT-I Apps): Are They Designed for Engagement? Int J Environ Res Public Health. 2021 Mar 12;18(6):2929. doi: 10.3390/ijerph18062929.
- Darden M, Espie CA, Carl JR, Henry AL, Kanady JC, Krystal AD, Miller CB. Cost-effectiveness of digital cognitive behavioral therapy (Sleepio) for insomnia: a Markov simulation model in the United States. Sleep. 2021 Apr 9;44(4):zsaa223. doi: 10.1093/sleep/zsaa223.
- Baek K, Jeong J, Kim HW, Shin DH, Kim J, Lee GH, Cho JW. Seasonal and Weekly Patterns of Korean Adolescents' Web Search Activity on Insomnia: Retrospective Study. JMIR Form Res. 2024 Oct 11;8:e52977. doi: 10.2196/52977.
- Castronovo V, Galbiati A, Sforza M, Poletti M, Giarolli L, Kuo T, Zucconi M, Manconi M, Hensley M, Morin C, Ferini-Strambi L. Long-term clinical effect of group cognitive behavioral therapy for insomnia: a case series study. Sleep Med. 2018 Jul;47:54-59. doi: 10.1016/j.sleep.2018.03.017. Epub 2018 Apr 11.
- Baglioni C, Altena E, Bjorvatn B, Blom K, Bothelius K, Devoto A, Espie CA, Frase L, Gavriloff D, Tuuliki H, Hoflehner A, Hogl B, Holzinger B, Jarnefelt H, Jernelov S, Johann AF, Lombardo C, Nissen C, Palagini L, Peeters G, Perlis ML, Posner D, Schlarb A, Spiegelhalder K, Wichniak A, Riemann D. The European Academy for Cognitive Behavioural Therapy for Insomnia: An initiative of the European Insomnia Network to promote implementation and dissemination of treatment. J Sleep Res. 2020 Apr;29(2):e12967. doi: 10.1111/jsr.12967. Epub 2019 Dec 19.
- American Psychiatric Association (2013). Manuale diagnostico e statistico dei disturbi mentali - Quinta edizione. DSM-5. Tr.it. Raffaello Cortina, Milano, 2015.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 413CET
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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