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Updated: Apr 27, 2026

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Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
Published on: August 2, 2021
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Universal versus risk factor-targeted early inpatient postpartum depression screening
Elizabeth Berger1, Amy Wu, Elizabeth A Smulian
1Department of Obstetrics and Gynecology, Lehigh Valley Health Network , Allentown, PA , USA .
Summary
Targeted screening using the Edinburgh Postnatal Depression Scale (EPDS) for women with a history of mental illness is efficient for identifying postpartum depression. However, this approach may miss a significant percentage of women needing support.
Area of Science:
- Perinatal mental health
- Screening efficacy
- Postpartum depression
Background:
- Early identification of postpartum depression is crucial for maternal and infant well-being.
- Current screening methods vary in efficiency and reach.
Purpose of the Study:
- To compare the effectiveness of targeted versus universal Edinburgh Postnatal Depression Scale (EPDS) screening in early inpatient settings.
- To determine the efficiency of identifying women with postpartum depression based on risk factors.
Main Methods:
- A retrospective study comparing two cohorts of women delivering between January and June 2010.
- Cohort 1 underwent universal EPDS screening; Cohort 2 received targeted screening based on identified risk factors (history of mental illness).
- Multivariable logistic regression was used to determine risk factors for a positive EPDS screen.
Main Results:
- Universal screening (Cohort 1, N=322) identified 3.4% positive screens, with a number needed to screen of 29. Targeted screening (Cohort 2, N=215) identified 15.3% positive screens, with a number needed to screen of 6.
- A history of mental illness was a strong predictor, but models without this factor had poor predictive value (number needed to screen of 80).
Conclusions:
- Targeted EPDS screening for women with a history of mental illness is an efficient method for identifying postpartum depression.
- This targeted approach may miss up to 36.4% of women who could benefit from screening and support.

