What does this research mean for the field?

Internet-based interventions effectively reduce depressive and anxiety symptoms in new and expectant mothers, and their effectiveness is broadly applicable without being modified by demographic or clinical factors. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To identify modifiers of treatment effectiveness and symptom deterioration, alongside prognostic factors of adherence, in internet-based interventions for perinatal depression.

September 5, 2026Internet InterventionsOpen Access

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

View Full Paper

Ask AI

Bookmark

Authors

MČMarkéta Čihařová PCPim Cuijpers MHMathias Harrer

Discussion

Member takes

Overview

Individual participant data meta-analysis finds internet-based interventions reduce perinatal depression, suggesting broad utility across varied maternal demographics.

Key Points

To identify modifiers of treatment effectiveness and symptom deterioration, alongside prognostic factors of adherence, in internet-based interventions for perinatal depression.
Systematic search across three bibliographic databases on February 7, 2025, to identify randomized controlled trials evaluating internet-based interventions for perinatal depression.
Conducted conventional and two-stage individual participant data meta-analyses (IPDMA) pooling data from 9 randomized trials totaling 1,094 participants.
Internet-based interventions significantly reduced depressive symptoms (SMD = 0.29, 95% CI: 0.03–0.54) while increasing response (RR = 1.97, 95% CI: 1.57–2.47) and remission (RR = 1.73, 95% CI: 1.38–2.18).
Interventions effectively alleviated anxiety symptoms (SMD = 0.26, 95% CI: 0.11–0.40) but did not significantly affect reliable deterioration (OR = 0.80, 95% CI: 0.49–1.32).
No modifiers of effectiveness, deterioration, or adherence were identified; baseline depression and comorbid anxiety were the primary prognostic indicators of post-treatment depressive symptoms.

Cite This Study

Čihařová et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4436b95aff0620ebcea https://doi.org/10.1016/j.invent.2026.100993

View Full Paper

Ask AI

Bookmark

September 5, 2026Internet InterventionsOpen Access

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

View Full Paper

Ask AI

Bookmark

Authors

MČMarkéta Čihařová PCPim Cuijpers MHMathias Harrer

Discussion

Member takes

Overview

Individual participant data meta-analysis finds internet-based interventions reduce perinatal depression, suggesting broad utility across varied maternal demographics.

Key Points

To identify modifiers of treatment effectiveness and symptom deterioration, alongside prognostic factors of adherence, in internet-based interventions for perinatal depression.
Systematic search across three bibliographic databases on February 7, 2025, to identify randomized controlled trials evaluating internet-based interventions for perinatal depression.
Conducted conventional and two-stage individual participant data meta-analyses (IPDMA) pooling data from 9 randomized trials totaling 1,094 participants.
Internet-based interventions significantly reduced depressive symptoms (SMD = 0.29, 95% CI: 0.03–0.54) while increasing response (RR = 1.97, 95% CI: 1.57–2.47) and remission (RR = 1.73, 95% CI: 1.38–2.18).
Interventions effectively alleviated anxiety symptoms (SMD = 0.26, 95% CI: 0.11–0.40) but did not significantly affect reliable deterioration (OR = 0.80, 95% CI: 0.49–1.32).
No modifiers of effectiveness, deterioration, or adherence were identified; baseline depression and comorbid anxiety were the primary prognostic indicators of post-treatment depressive symptoms.

Cite This Study

Čihařová et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4436b95aff0620ebcea https://doi.org/10.1016/j.invent.2026.100993

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark