Delivery Mode Impact on Postoperative Depression
Starting soon
Conditions studied: Postoperative Depression
In brief
The goal of this observational retrospective cohort study is to examine the association between mode of delivery and early postpartum depressive symptoms in adult women who delivered at Massachusetts General Hospital. Specifically, the study evaluates whether the urgency of cesarean delivery (elective versus emergency) is associated with differences in Edinburgh Postnatal Depression Scale (EPDS) scores at 6-8 weeks postpartum, compared with elective cesarean delivery and vaginal delivery. The EPDS is a validated 10-item self-report questionnaire with scores ranging from 0 to 30, where higher scores indicate more severe depressive symptoms. The primary questions are whether EPDS scores differ among women undergoing emergency cesarean delivery, elective cesarean delivery, and vaginal delivery, and whether perioperative and obstetric factors are associated with postpartum depressive symptoms. This study involves retrospective analysis of de-identified electronic health record data. Participants will not undergo any study-specific interventions.
Key facts
- Study ID
- NCT07359170
- Run by
- Jingping Wang, MD, Ph.D.
- People needed
- 4000
- Starts
- 2026-10-15
- Expected to finish
- 2027-12-28
- Last updated by the study team
- 2026-06-09
Who can join
Age: 18 and older. Sex: female. Healthy volunteers: not accepted.
You may qualify if…
- Underwent cesarean delivery (elective or emergency) or vaginal delivery during the study period
- Age 18 years or older
- Completed at least one Edinburgh Postnatal Depression Scale (EPDS) assessment at 6-8 weeks postpartum
- Have complete perioperative data available
You may not qualify if…
- Missing 6-8 week postpartum EPDS scores
- Pregnancy with fetal demise, severe obstetric complications, or atypical maternal conditions
- History of severe psychiatric disorders (e.g., schizophrenia, bipolar disorder), when identifiable
- Incomplete perioperative medical records
Full record on ClinicalTrials.gov
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