Predicting effects of a digital stress intervention for patients with depressive symptoms: Development and validation of meta-analytic prognostic models using individual participant data.

Mathias HarrerHarald BaumeisterPim CuijpersElena HeberDirk LehrRonald C KesslerDavid Daniel Ebert

Published in: Journal of consulting and clinical psychology (2023)

Meta-analytic prognostic models applied to individual participant data can be used to predict differential benefits of a digital stress intervention as an indirect treatment for depression. While most patients seem to benefit, the developed models could be helpful as a screening tool to identify those for whom a more intensive depression treatment is needed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Keyphrases

depressive symptoms
randomized controlled trial
sleep quality
ejection fraction
newly diagnosed
big data
social support
prognostic factors
stress induced
artificial intelligence
heat stress