Chronic insomnia disorder afflicts approximately 10% of adults. Affected persons often are depressed and suffer from impairment in cognitive function exhibiting deficits in concentration and memory. Chronic insomnia also has been associated with an increased risk of cardiovascular disease and a reduced lifespan. Cognitive behavioral therapy or CBT-i is the preferred treatment for chronic insomnia. Until recently, CBT-i was optimally delivered by Behavioral Sleep Medicine
specialists. However, in comparison to the number of persons with chronic insomnia, there are relatively few trained therapists. This has led to the introduction of programs featuring online delivery of CBT-i in order to increase its availability. Yet, there are few studies of the effectiveness of these online or hybrid (online combined with in-person) delivery programs as well as investigations comparing these new delivery models versus in-person CBT-i and medication regimens. Furthermore, the role of artificial intelligence in delivery of CBT-I remains unexplored.
This research topic aims to highlight investigations documenting the effectiveness of online or hybrid CBT-i delivery models in the treatment of chronic insomnia. Of particular interest are studies comparing it to in-person delivery and use of hypnotic medications as well as the role of artificial intelligence in facilitating CBT-i.
For this research topic, original research, brief reports, case studies and reviews are welcome related to the following themes:
• Efficacy and/or effectiveness of online or hybrid (online + in-person) CBT-i programs for the treatment of chronic insomnia disorder
• Comparisons of online or (hybrid (online + in-person) CBT-i to either in-person delivery and/or hypnotic medications
• Descriptions of the development and implementation of online or hybrid (online + in-person) CBT-i programs
• Cost-effectiveness studies of online or hybrid (online + in-person) CBT-i programs
• Racial, ethnic and/or economic disparities related to the implementation of CBT-i
• National and regional studies of CBT-i availability
• Use of artificial intelligence to facilitate delivery of CBT-i
Chronic insomnia disorder afflicts approximately 10% of adults. Affected persons often are depressed and suffer from impairment in cognitive function exhibiting deficits in concentration and memory. Chronic insomnia also has been associated with an increased risk of cardiovascular disease and a reduced lifespan. Cognitive behavioral therapy or CBT-i is the preferred treatment for chronic insomnia. Until recently, CBT-i was optimally delivered by Behavioral Sleep Medicine
specialists. However, in comparison to the number of persons with chronic insomnia, there are relatively few trained therapists. This has led to the introduction of programs featuring online delivery of CBT-i in order to increase its availability. Yet, there are few studies of the effectiveness of these online or hybrid (online combined with in-person) delivery programs as well as investigations comparing these new delivery models versus in-person CBT-i and medication regimens. Furthermore, the role of artificial intelligence in delivery of CBT-I remains unexplored.
This research topic aims to highlight investigations documenting the effectiveness of online or hybrid CBT-i delivery models in the treatment of chronic insomnia. Of particular interest are studies comparing it to in-person delivery and use of hypnotic medications as well as the role of artificial intelligence in facilitating CBT-i.
For this research topic, original research, brief reports, case studies and reviews are welcome related to the following themes:
• Efficacy and/or effectiveness of online or hybrid (online + in-person) CBT-i programs for the treatment of chronic insomnia disorder
• Comparisons of online or (hybrid (online + in-person) CBT-i to either in-person delivery and/or hypnotic medications
• Descriptions of the development and implementation of online or hybrid (online + in-person) CBT-i programs
• Cost-effectiveness studies of online or hybrid (online + in-person) CBT-i programs
• Racial, ethnic and/or economic disparities related to the implementation of CBT-i
• National and regional studies of CBT-i availability
• Use of artificial intelligence to facilitate delivery of CBT-i
