Modifiers of effectiveness and deterioration, and prognostic factors of adherence in internet-based interventions for treatment of perinatal depression: A systematic review and individual participant data meta-analysis
Marketa Ciharova, Pim Cuijpers, Mathias Harrer, Yafit Hirshler, Olga-Maria Panagiotopoulou, Lingyao Tong, Clara Miguel, Iryna Frankova, Alan W. Gemmill, Claudia Buntrock, Wouter van Ballegooijen, Ana Fonseca, Mariana Branquinho, Erik Forsell, Nicole E. Pugh, Heather D. Hadjistavropoulos, Yaoyao Sun, · 2026
Read Modifiers of effectiveness and deterioration, and prognostic factors of adherence in internet-based interventions for treatment of perinatal depression: A systematic review and individual participant data meta-analysis by Marketa Ciharova, Pim Cuijpers, Mathias Harrer, Yafit Hirshler, Olga-Maria Panagiotopoulou, Lingyao Tong, Clara Miguel, Iryna Frankova, Alan W. Gemmill, Claudia Buntrock, Wouter van Ballegooijen, Ana Fonseca, Mariana Branquinho, Erik Forsell, Nicole E. Pugh, Heather D. Hadjistavropoulos, Yaoyao Sun, (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13571255.txt.
Description
Marketa Ciharova and co-authors (2026) pool raw data from trials to learn for whom internet therapy for perinatal depression works. Online programs are known to ease depression in expectant and new mothers on average. Averages, though, hide the practical questions: which mothers benefit most, who risks getting worse, and who will stick with a program. The team gathered individual participant data from randomized trials found in searches of three databases.
With the pooled records they test modifiers of the treatment effect, factors such as symptom severity that change how well the therapy works. They examine deterioration, the minority outcome of ending worse, and prognostic factors for adherence, meaning who keeps logging in and finishing modules. Combining raw data across trials, rather than published summaries, gives the statistical power to detect these differences. The findings aim to help clinicians match mothers to online treatment they will complete and benefit from.
Catalog record
| CREATOR | Marketa Ciharova, Pim Cuijpers, Mathias Harrer, Yafit Hirshler, Olga-Maria Panagiotopoulou, Lingyao Tong, Clara Miguel, Iryna Frankova, Alan W. Gemmill, Claudia Buntrock, Wouter van Ballegooijen, Ana Fonseca, Mariana Branquinho, Erik Forsell, Nicole E. Pugh, Heather D. Hadjistavropoulos, Yaoyao Sun, |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 100 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |