JMIR Publications

ABSTRACT

Background:

Chronic insomnia, or insomnia disorder, is a major health issue with a prevalence of up to 15%. The recommended first-line treatment is cognitive and behavioral therapy for insomnia (CBTi), which, unfortunately, remains insufficiently accessible. Digitalization has the potential to reduce healthcare access inequalities by offering more flexible and accessible care options. Digital CBTi (dCBTi) has been shown to be as effective as in-person CBTi, highlighting its potential for broader implementation.

Objective:

This study aimed to develop an evidence-based dCBTi program grounded in theoretical and clinical knowledge, designed for efficient integration into healthcare systems, and to establish it as the first prescribed digital treatment in France

Methods:

The program was constructed based on validated CBTi theory and practice, incorporating the latest scientific data on CBT for insomnia. It was designed as a robust multicomponent therapy, integrating an initial standardized assessment and daily intelligent adaptation to enable digital phenotyping and provide personalized treatment.

Results:

We developed an innovative digital solution that combines scientific rigor with practical application. The program includes a standardized initial evaluation and dynamic personalization through intelligent algorithms. These features allow for the adaptation of therapy based on patient progress and needs, ensuring individualized care.

Conclusions:

The development of this dCBTi program represents a significant milestone in digital healthcare, offering a scalable solution to the accessibility challenges of traditional CBTi. Future steps involve conducting clinical studies to further evaluate its effectiveness and optimize its implementation within healthcare systems.