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Currently accepted at: Journal of Medical Internet Research

Date Submitted: Jul 28, 2026
Open Peer Review Period: Jul 29, 2026 - Sep 23, 2026
Date Accepted: Oct 16, 2026
(closed for review but you can still tweet)

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/108128

The final accepted version (not copyedited yet) is in this tab.

Digital Health Interventions for Pregnancy- and Childbirth-Related Posttraumatic Stress Disorder Symptoms in Postpartum Women: A Systematic Review and Meta-Analysis

  • Ri-hua Xie; 
  • Ziyin Huang; 
  • Zhengxiu Xiao; 
  • Xiaoli Liao; 
  • Haoran Wu; 
  • Junyu Long; 
  • Zhiqian Zhu; 
  • Jiahao Huang; 
  • Zitong Tian; 
  • Qianqian Du; 
  • Anuttara Devassy; 
  • Smita Pakhale

ABSTRACT

Background:

Pregnancy- or childbirth-related traumatic experiences may lead to posttraumatic stress disorder (PTSD) symptoms during the postpartum period, adversely affecting women and their families. Digital health interventions may improve access to psychological support; however, evidence of their effectiveness for pregnancy- and childbirth-related posttraumatic stress disorder (PCR-PTSD) symptoms remains limited and has not been systematically synthesized.

Objective:

This review aimed to evaluate the effects of digital health interventions on PCR-PTSD symptoms in postpartum women, with depressive and anxiety symptoms as secondary outcomes.

Methods:

We searched 7 English-language and 4 Chinese-language databases from inception through April 30, 2026, to identify randomized controlled trials (RCTs) evaluating digital health interventions in women who had experienced pregnancy- or childbirth-related traumatic events and were assessed for PTSD symptoms during the postpartum period. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool. Effect estimates were pooled using random-effects models with restricted maximum likelihood estimation and Hartung-Knapp adjustments and reported as standardized mean differences (SMDs) with 95% confidence intervals (CIs). Statistical heterogeneity, 95% prediction intervals (PIs), subgroup effects, and the robustness of pooled estimates were also examined.

Results:

A total of 10 RCTs involving 1026 participants were included. Of these, 9 trials (809 participants) reported PTSD symptom outcomes immediately after the intervention, and 6 trials (413 participants) reported outcomes at follow-up. Digital health interventions were associated with lower PTSD symptom severity immediately after the intervention (SMD −0.59, 95% CI −0.98 to −0.19, 95% PI −1.72 to 0.54; P=.01), with substantial heterogeneity (I²=79.86%). However, the pooled effect was not statistically significant at the longest available follow-up (SMD −0.36, 95% CI −1.00 to 0.27, 95% PI −2.03 to 1.31; P=.20). All 95% PIs crossed the null. No statistically significant subgroup differences were observed by PTSD-related eligibility requirements, delivery modality, intervention duration, or trauma context. A statistically significant subgroup difference was observed by healthcare provider involvement (Q=14.46, P<.001); however, this exploratory finding should be interpreted cautiously. Sensitivity analyses supported the robustness of the pooled effect on PTSD symptoms immediately after the intervention.

Conclusions:

Digital health interventions may be associated with short-term reductions in PTSD, depressive, and anxiety symptoms among women with pregnancy- or childbirth-related trauma. However, substantial heterogeneity and prediction intervals crossing the null limit confidence in these effects. Further well-designed trials with clinically interpretable outcomes and longer follow-up are needed. Clinical Trial: PROSPERO CRD420261290528; https://www.crd.york.ac.uk/PROSPERO/view/CRD420261290528


 Citation

Please cite as:

Xie Rh, Huang Z, Xiao Z, Liao X, Wu H, Long J, Zhu Z, Huang J, Tian Z, Du Q, Devassy A, Pakhale S

Digital Health Interventions for Pregnancy- and Childbirth-Related Posttraumatic Stress Disorder Symptoms in Postpartum Women: A Systematic Review and Meta-Analysis

Journal of Medical Internet Research. 16/10/2026:108128 (forthcoming/in press)

DOI: 10.2196/108128

URL: https://preprints.jmir.org/preprint/108128

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