Reducing the risk of perinatal depression using an app-based cognitive behavioral therapy program: protocol of a...

Area of Science:

• Mental Health
• Digital Therapeutics
• Perinatal Care

Background:

• Cognitive behavioral therapy (CBT) is effective for perinatal depression.
• Traditional CBT delivery limits accessibility.
• App-based CBT offers a scalable solution for maternal mental health.

Purpose of the Study:

• To evaluate the efficacy of an app-based CBT program for preventing perinatal depression.
• To compare depressive and anxiety symptom reduction in pregnant women using app-based CBT versus a control group.

Main Methods:

• A randomized controlled trial involving 290 pregnant women (20-24 weeks gestation).
• Intervention group: 8-week mobile app-based CBT (CareMom).
• Control group: 8-week mobile app-based relaxation training. Outcomes assessed using validated scales (EPDS, PHQ-9, GAD-7) from baseline to 6 weeks postpartum.

Main Results:

• The study is designed to determine if app-based CBT reduces depressive and anxiety symptoms.
• Primary outcomes measure changes in EPDS, PHQ-9, and GAD-7 scores.
• Analysis will include intention-to-treat and per-protocol populations.

Conclusions:

• App-based CBT holds promise for improving maternal mental health during the perinatal period.
• Early intervention through digital platforms can benefit both mothers and infants.
• Further research is needed to fully explore the preventive role of digital CBT in perinatal mental health.