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Dataset Information

Predictors of users' adherence to a fully automated digital intervention to manage insomnia complaints.


ABSTRACT:

Objective

Fully automated digital interventions show promise for disseminating evidence-based strategies to manage insomnia complaints. However, an important concept often overlooked concerns the extent to which users adopt the recommendations provided in these programs into their daily lives. Our objectives were evaluating users' adherence to the behavioral recommendations provided by an app, and exploring whether users' perceptions of the app had an impact on their adherence behavior.

Material and methods

Case series study of individuals completing a fully automated insomnia management program, conducted by a virtual agent, during December 2020 to September 2022. Primary outcome was self-reported adherence to the behavioral recommendations provided. Perceptions of the app

SUBMITTER: Sanchez-Ortuno MM 

PROVIDER: S-EPMC10654843 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature