Wearable Device to Promote CPAP Adherence in Obstructive Sleep Apnea (OSA) Patients
Efficacy of Wearable Device to Promote CPAP Adherence in Patients With Obstructive Sleep Apnea (OSA); A Randomized Controlled Trial
1 other identifier
interventional
80
1 country
1
Brief Summary
The goal of this study type: clinical trial is to evaluate adherence for CPAP used with wearable device in OSA patients comparing with controlled group; could include any of the following: adult patients (≥ 19 yr of age) with moderate to severe OSA (AHI ≥ 15 events/hr by polysomnography (PSG), according to the American Academy of Sleep Medicine, diagnosed at the sleep clinic in Ramathibodi hospital, patients with OSA who are first time to prescribed CPAP treatment and in the waiting process for their machine. The main question it aims to answer is: Could a wearable device help increase the adherence of CPAP in obstructive sleep apnea patients? Primary outcome is adherence for CPAP: time usage per day(min) and % usage \> 4 hours Secondary outcome are access sleepiness and quality of sleep by questionnaire (ESS and PSQI) in Thai version, the correlation between wearable-derived and CPAP data: Total sleep time(min), sleep stage (light, deep and REM), and health information: heart rate, oxygen saturation, stress, sleep score and step counting If there is a comparison group: Researchers will compare wearable group and control group to see the effect of wearable to increase adherence of CPAP used. Participants will
- Divide into two group by randomization using 4 block randomization
- In wearable group, the participants will receive wearable and download application, they allow to access all the time
- In control group, the participants will receive wearable and download application, but they will not allow to access until they come to hospital for follow up at the end of the study
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jan 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 5, 2026
CompletedStudy Start
First participant enrolled
January 6, 2026
CompletedFirst Posted
Study publicly available on registry
January 30, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 30, 2026
January 30, 2026
January 1, 2026
6 months
January 5, 2026
January 22, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Average daily CPAP usage time
Average CPAP usage time per day, measured in minutes using CPAP device data.
From enrollment to 4 weeks and 8 weeks of treatment
Percentage of nights with CPAP usage ≥ 4 hours
Percentage of days with CPAP usage ≥ 4 hours per night, reported as a percentage (%), derived from CPAP device data.
From enrollment to 4 weeks and 8 weeks of treatment
Secondary Outcomes (11)
Daytime sleepiness assessed by Epworth Sleepiness Scale (Thai version)
From enrollment to 4 week and 8 week of treament
Sleep quality assessed by Pittsburgh Sleep Quality Index (Thai version)
From enrollment to 4 week and 8 week of treatment
Total sleep time
From enrollment to 4 week and 8 week of treatment
Percentage of light sleep stage derived from wearable device
From enrollment to 4 weeks and 8 weeks of treatment
Percentage of deep sleep stage derived from wearable device
From enrollment to 4 weeks and 8 weeks of treatment
- +6 more secondary outcomes
Study Arms (2)
Wearable group
EXPERIMENTALStandard care of CPAP with Garmin vivoactive 5 with self-monitoring data (Patients can access the data by themselves)
Control group
SHAM COMPARATORStandard care of CPAP with Garmin vivoactive 5 no self-monitoring data (Patients cannot access the data by themselves)
Interventions
patients can access health data by themselves
Patients cannot access their health data
Eligibility Criteria
You may qualify if:
- Adult patients (≥ 19 yr of age) with moderate to severe OSA (AHI ≥ 15 events/hr at the sleep clinic in Ramathibodi hospital
- Study after EC approval to March, 2026
- Patients with OSA who are prescribed CPAP therapy and accepted a trial of therapy
You may not qualify if:
- Patients deny to provide an informed consent
- Patients had active cardiovascular, pulmonary, psychiatric disease, and epilepsy
- Patients had been previously used CPAP for treatment of OSA
- Patients have a problem to use a wearable device or watch
- Patients had used any smartwatch before
- Patients do not have a smart phone
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ramathibodi hospital, Mahidol university
Ratchathewi, Bangkok, 10400, Thailand
Related Publications (5)
Aardoom JJ, Loheide-Niesmann L, Ossebaard HC, Riper H. Effectiveness of eHealth Interventions in Improving Treatment Adherence for Adults With Obstructive Sleep Apnea: Meta-Analytic Review. J Med Internet Res. 2020 Feb 18;22(2):e16972. doi: 10.2196/16972.
PMID: 32130137BACKGROUNDWeaver TE, Grunstein RR. Adherence to continuous positive airway pressure therapy: the challenge to effective treatment. Proc Am Thorac Soc. 2008 Feb 15;5(2):173-8. doi: 10.1513/pats.200708-119MG.
PMID: 18250209BACKGROUNDLuyster FS, Strollo PJ Jr, Zee PC, Walsh JK; Boards of Directors of the American Academy of Sleep Medicine and the Sleep Research Society. Sleep: a health imperative. Sleep. 2012 Jun 1;35(6):727-34. doi: 10.5665/sleep.1846.
PMID: 22654183BACKGROUNDSchyvens AM, Peters B, Van Oost NC, Aerts JM, Masci F, Neven A, Dirix H, Wets G, Ross V, Verbraecken J. A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography. Sleep Adv. 2025 Mar 22;6(2):zpaf021. doi: 10.1093/sleepadvances/zpaf021. eCollection 2025 Apr.
PMID: 40303381BACKGROUNDFox N, Hirsch-Allen AJ, Goodfellow E, Wenner J, Fleetham J, Ryan CF, Kwiatkowska M, Ayas NT. The impact of a telemedicine monitoring system on positive airway pressure adherence in patients with obstructive sleep apnea: a randomized controlled trial. Sleep. 2012 Apr 1;35(4):477-81. doi: 10.5665/sleep.1728.
PMID: 22467985BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Visasiri Tantrakul, Doctor of Medicine (M.D.)
Ramathibodi hospital, Mahidol university
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, OUTCOMES ASSESSOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal investigator
Study Record Dates
First Submitted
January 5, 2026
First Posted
January 30, 2026
Study Start
January 6, 2026
Primary Completion (Estimated)
June 30, 2026
Study Completion (Estimated)
June 30, 2026
Last Updated
January 30, 2026
Record last verified: 2026-01