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) 2023 APA, all rights reserved).

Keyphrases

depressive symptoms
randomized controlled trial
end stage renal disease
electronic health record
sleep quality
newly diagnosed
chronic kidney disease
emergency department
combination therapy
machine learning
physical activity
data analysis
deep learning
patient reported outcomes