Clinical Efficacy and Health Economic Evaluation of an Intelligent Diagnostic and Treatment Model

Clinical Efficacy and Health Economic Evaluation of an Intelligent Diagnostic and Treatment Model Based on Digital Cognitive Behavioral Therapy for Insomnia Disorder

The purpose of this study is to evaluate the clinical and cost-effectiveness of an intelligent therapy based on digital cognitive behavioral therapy for insomnia disorders

Insomnia is a highly prevalent and distressing disorder, yet access to its first-line treatment, cognitive behavioral therapy for insomnia (CBT-I) remains highly limited. Therefore, providing accessible and personalized CBT-I is pivotal in its application. With the widespread development of the internet and mobile application devices, digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) has opened new avenues for the diagnosis and treatment of insomnia disorder. Studies have explored internet-based, self-administered CBT-I treatment models, which have increased access to effective psychological therapy for patients with insomnia.

Inclusion Criteria:

• (1) Clinical diagnosis of insomnia disorder; (2) Cooperate to complete the questionnaire surveys.

Exclusion Criteria:

• (1) Current use of central nervous system stimulants; (2) Use of analgesics, theophylline preparations, steroid medications; (3) Alcohol abuse or regular alcohol intake; (4) Diagnosis of other sleep disorders (e.g., obstructive sleep apnea, rapid eye movement sleep behavior disorder, restless legs syndrome) ; (5) Sleep disorders secondary to organic diseases (e.g., epilepsy, diabetes, renal failure).