Determinants of Dropout From a Virtual Agent–Based App for Insomnia Management in a Self-Selected Sample of Users With Insomnia Symptoms: Longitudinal Study
As in traditional face-to-face cognitive behavioral therapy for insomnia, the presence of significant depression symptoms plays an important role in treatment dropout. This variable represents an important target to address to increase early engagement with fully automated insomnia management programs. Furthermore, our results support the contention that a VA can provide relevant user stimulation that will eventually pay out in terms of user engagement.
Authors
- Julien Coelho (ORCID: https://orcid.org/0000-0001-5451-9148)
- Patricia Sagaspe (ORCID: https://orcid.org/0000-0003-2845-1199)
- Florian Pécune (ORCID: https://orcid.org/0000-0002-3235-2575)
- M. Montserrat Sánchez-Ortuño
- Nathalie Salles (ORCID: https://orcid.org/0000-0001-6781-1623)
- Yannick Levavasseur (ORCID: https://orcid.org/0000-0002-5840-9867)
- Fuschia Serre (ORCID: https://orcid.org/0000-0002-0228-3572)
- Pierre Philip
- Étienne de Sevin (ORCID: https://orcid.org/0000-0001-6302-2192)
- Jean‐Arthur Micoulaud‐Franchi (ORCID: https://orcid.org/0000-0002-5203-8444)
- Marc Auriacombe (ORCID: https://orcid.org/0000-0002-8938-8683)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université de Bordeaux (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Universidad de Murcia (ES)
Publication Details
- Journal
- JMIR Mental Health
- Published
- 2024-10-03
- DOI
- https://doi.org/10.2196/51022
- Citations
- 1
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.51