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 EbertPublished 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
- end stage renal disease
- electronic health record
- sleep quality
- chronic kidney disease
- newly diagnosed
- social support
- big data
- prognostic factors
- emergency department
- peritoneal dialysis
- stress induced
- machine learning
- patient reported outcomes
- adverse drug
- smoking cessation
- drug induced
- data analysis