App-Based Support for CPAP Use in Sleep Apnea
This study is looking at how a smartphone app called SleepWell24 can help people with obstructive sleep apnea (OSA) use their CPAP machine more consistently. The app connects with a smart plug and a Fitbit to track CPAP usage and includes weekly questionnaires. The goal is to help people use their CPAP for at least 6 hours a night, 6 nights a week. Researchers will measure how well people adopt CPAP use and how their quality of life changes over about 6 months. You might be able to join if you are an adult (18 or older) who has been newly diagnosed with OSA and speaks English. The study aims to include about 40 participants, balancing for gender and OSA severity. The current recruitment status is unclear.
- Study design
- This is an interventional study with a planned enrollment of 40 participants. It is not specified if it is randomized or blinded.
- What's involved
- You will use the SleepWell24 application, which connects to a smart plug and a Fitbit Charge 4. You will also complete weekly questionnaires for approximately 6 months.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your CPAP adoption will be measured at approximately 6 months, and your quality of life will be assessed weekly for approximately 6 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
App-Based Optimization of Long-Term CPAP Adherence and Quality of Life
At a glance
Conditions
Where it's being run
2 sites across 2 statesStudy leadership
- Timothy Morgenthaler, MD · PRINCIPAL_INVESTIGATOR · Mayo Clinic
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- CPAP Adoptionapproximately 6 months
The Shelly smart plug will be used to monitor the amount of CPAP time usage by the amount of wattage recorded.
- Change in Quality of Lifebaseline, weekly assessments for approximately 6 months
As measured by weekly survey asking participants to rate their health based on excellent, very good, good, fair, and poor.