Proactive Life Inc
This double blind randomized clinical trial on older independent-living healthy individuals with symptoms of insomnia will harness Cognitive Behavioral Therapy for Insomnia (CBT-I) and augment it with ambulatory data collection devices, personalized digital content, and smart sound and light cues (CBT-I +Internet of Things \[IoT\]+Artificial Intelligence \[AI\]). With this approach, the investigators aim to overcome many of the limitations that CBT-I in the clinic faces: the investigators can implement it in ambulatory settings while providing increased (remote) accessibility to therapy. The investigators will compare the CBT-I +IoT+AI to active controls that also integrate with smart phone devices, including SleepEZ, which is also based on CBT-I, and sleep hygiene education. These active controls will help determine whether CBT-I +IoT+AI is effective at treating insomnia based on the Insomnia Severity Index (ISI) (primary outcome), sleep metrics (secondary outcome), cognitive performance (secondary outcome), and additional outcomes like therapeutic adherence and other mental health assessments. Participants will be asked to track sleep with wearable and nearable devices, complete surveys, and complete cognitive assessments.
Insomnia is highly prevalent in older adults and is associated with impaired daytime functioning and increased risk for cognitive decline. Cognitive Behavioral Therapy for Insomnia (CBT-I) is the recommended first-line treatment, yet access, adherence, and scalability remain persistent barriers, particularly for older populations. Digital CBT-I programs address some access challenges but often demonstrate reduced adherence and diminished effectiveness in real-world use. This study evaluates a fully remote, automated digital CBT-I system that integrates mobile software with Internet of Things…
Inclusion Criteria 1. Fluent English speaker and reader. 2. Capable of providing one's own informed consent. 1. As determined by validated, abbreviated phone-based remote Montreal Cognitive Assessment (MoCA) testing score of ≥18, which is the score that separates Mild Cognitive Impairment (MCI) from Alzheimer's Disease and Related Dementia (ADRD). 3. Age 55+ years old (inclusive) at enrollment. a. As self-reported on screening survey and later verified in video appointment (e.g. Zoom Health) 4. If residing in a community residence (such as a retirement community) in which a Medical Direct…
What distinguishes this condition is increased customization of the CBT-I content and increased usage of the Internet of Things (IoT) devices used to promote CBT-I directives.
This condition includes interactive videos about CBT-I and leverages some IoT interventions.
This intervention includes intractive videos regarding sleep hygiene, a component of CBT-I and leverages some IoT interventions.