Obstructive sleep apnea, or OSA, affects over 1 billion adults worldwide. OSA is one of many sleep disorders. Individuals can suffer from more than one sleep disorder at a time. Insomnia (difficulty falling or staying asleep) is a separate sleep disorder that is very often seen in OSA patients. Depending on reports, insomnia can be present in 30%-60% of patients diagnosed with OSA. This research is being conducted to determine whether treating insomnia can help patients with OSA to have better outcomes when treating their OSA.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
100
The COAST application will generate treatment recommendations after approximately one week of participant data entry. COAST's treatment recommendations are based on the core components of CBT-I-stimulus control, sleep restriction, cognitive therapy, and relaxation-with additional strategies targeting nightmares and daytime fatigue as needed. Weekly assessments and daily sleep diaries help the COAST algorithms make recommendations. The study clinician must review and approve, or change, all recommendations before they are sent to the participant. This tailored approach allows for modification of COAST's recommendations based on clinician expertise and knowledge of the participant. To further enhance the treatment process, the clinician is available by secure message to provide rapid support and/or schedule an appointment as needed. These features offer personalization for each participant, consistent with case-conceptualization based on individual sleep needs.
UPMC Mercy Hospital
Pittsburgh, Pennsylvania, United States
UAS adherence
UAS adherence will be measured by average hours of use per night
Time frame: 1 month, 3 months, and 6 months post-UAS activation
Change in Insomnia Severity Index (ISI)
The Insomnia Severity Index (ISI) is a patient's subjective assessment of their ability to fall and stay asleep. The ISI is a 7 item measure. Answers per item range from 0-4 (0 meaning none/very satisfied-4 meaning very severe/very dissatisfied). Scoring totals range from 0-28. Lower score is better. Higher score suggests worse insomnia.
Time frame: Change from Baseline at Activation, 1 month, 3 months and 6 months
UAS adherence-overall usage
UAS adherence measured by % days used. This will be calculated dividing the number of days the UAS was turned on by the number of days since last timepoint which will yield a percentage. The higher the percentage, the better the compliance. (1 month\~30 days; 3 months\~90 days; 6 months\~180 days)
Time frame: 1 month, 3 months, and 6 months post-UAS activation
UAS adherence- % nights with >= 4 hours of usage
4 hours of nightly usage is an historical OSA treatment benchmark for compliance. This outcome measure will be calculated by identifying the number of nights the UAS system was used for 4+ hours and dividing it by the overall number of nights used to achieve a percentage. This will be calculated for each timepoint in the study. Higher percentage suggests better compliance.
Time frame: 1 month post activation, 3 months post activation, and 6 months post activation.
UAS average number of pauses per night
UAS systems have the ability to be paused during usage. Common reasons for "pausing" are for comfort (so they can more easily fall back to sleep), to use the restroom, to take a drink/or take medication. Increased pausing can be associated with discomfort (the UAS system being too strong) or associated with sleep disorders (such as incomplete control of OSA or low arousal threshold). Pause events will be tallied and divided by the total number of nights the UAS system was used. Lower number of average pauses leads to higher overall usage of the UAS system and is preferred. This information can also be used to direct clinicians to readjust UAS settings or reeducate patients.
Time frame: 1 month post activation, 3 months post activation, and 6 months post activation.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.