Cited by 922Maternal Mental Health During Pregnancy and PostpartumMaternal and Neonatal HealthcareAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The DOI matches its Crossref record; 41 of the 42 references it cites were found in a registry or an index; none of the 33 sources its claims cite is checked for support yet.

Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data

Open access

Abstract

Objective: To evaluate the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression in pregnant and postpartum women. Design: Individual participant data meta-analysis. Data sources: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (from inception to 3 October 2018). Eligibility criteria for selecting studies: Eligible datasets included EPDS scores and major depression classification based on validated diagnostic interviews. Bivariate random effects meta-analysis was used to estimate EPDS sensitivity and specificity compared with semi-structured, fully structured (Mini International Neuropsychiatric Interview (MINI) excluded), and MINI diagnostic interviews separately using individual participant data. One stage meta-regression was used to examine accuracy by reference standard categories and participant characteristics. Results: Individual participant data were obtained from 58 of 83 eligible studies (70%; 15 557 of 22 788 eligible participants (68%), 2069 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of 11 or higher across reference standards. Among studies with a semi-structured interview (36 studies, 9066 participants, 1330 with major depression), sensitivity and specificity were 0.85 (95% confidence interval 0.79 to 0.90) and 0.84 (0.79 to 0.88) for a cut-off value of 10 or higher, 0.81 (0.75 to 0.87) and 0.88 (0.85 to 0.91) for a cut-off value of 11 or higher, and 0.66 (0.58 to 0.74) and 0.95 (0.92 to 0.96) for a cut-off value of 13 or higher, respectively. Accuracy was similar across reference standards and subgroups, including for pregnant and postpartum women. Conclusions: An EPDS cut-off value of 11 or higher maximised combined sensitivity and specificity; a cut-off value of 13 or higher was less sensitive but more specific. To identify pregnant and postpartum women with higher symptom levels, a cut-off of 13 or higher could be used. Lower cut-off values could be used if the intention is to avoid false negatives and identify most patients who meet diagnostic criteria. Registration: PROSPERO (CRD42015024785).

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In an individual participant data meta-analysis, the Edinburgh Postnatal Depression Scale (EPDS) maximised combined sensitivity and specificity at a cut-off of 11 or higher for detecting major depression in pregnant and postpartum women. Accuracy was similar across reference standards and subgroups, including pregnant versus postpartum status.

Key findings

  • Among 58 included studies (15,557 participants; 2,069 with major depression), combined sensitivity and specificity was maximised at an EPDS cut-off of 11 or higher across reference standards (Youden’s J=0.70 for semi-structured, 0.73 for fully structured, 0.66 for MINI).
  • For semi-structured interviews (36 studies, 9,066 participants, 1,330 with major depression), sensitivity and specificity were 0.85 (95% CI 0.79 to 0.90) and 0.84 (0.79 to 0.88) at ≥10; 0.81 (0.75 to 0.87) and 0.88 (0.85 to 0.91) at ≥11; and 0.66 (0.58 to 0.74) and 0.95 (0.92 to 0.96) at ≥13.
  • Accuracy was similar across reference standards and subgroups, including pregnant and postpartum women; no other study or participant characteristics were consistently associated with differences in sensitivity or specificity across both semi-structured and MINI categories.
  • For major depression prevalence of 5–25% and a cut-off of ≥11 compared with semi-structured interviews, positive predictive values ranged from 26% to 69% and negative predictive values from 93% to 99%.

Methods

  • Individual participant data meta-analysis (PROSPERO CRD42015024785) of studies administering the EPDS and classifying major depression via validated semi-structured or fully structured diagnostic interviews, with EPDS and interview no more than two weeks apart, in adult women during pregnancy or within 12 months postpartum.
  • Searched Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science from inception to 3 October 2018; obtained individual participant data from 58 of 83 eligible studies (70%; 15,557 of 22,788 eligible participants, 68%).
  • Estimated sensitivity and specificity separately for semi-structured, fully structured (MINI excluded), and MINI reference standards using bivariate random effects models across cut-off values 7–15; used one-stage meta-regression to examine accuracy by reference standard categories and participant characteristics.

Limitations

  • The paper states that data were not obtained from 25 of 83 published eligible datasets, moderate heterogeneity was found across studies, and subgroup analyses by cultural aspects, country or language, or specific pregnancy trimesters/postpartum periods could not be conducted because data were insufficient; few studies from low and middle income countries were included.
  • The paper also states that while studies were categorised by interview administered, interviews might not always have been used as intended, and one third of studies were coded as unclear for interviewer qualification in risk of bias assessment.
  • Evident from the text: the fully structured reference standard subgroup was very small (3 studies for sensitivity and 4 for specificity; 3,188 participants, 227 with major depression), and one study included only one participant with major depression; age <25 subgroup analyses excluded four semi-structured and four MINI studies with no participants with major depression.

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Integrity signals

Registry

Crossref · 10.1136/bmj.m4022

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 33 cited sources checked · 0 supported · 0 flagged

Show all 26 claims

  • It may state two separate claims as one. 27
  • Probably not a substantial claim. 23
39 of 39
  • The paper relies on this without support.

    The EPDS is the most commonly used depression screening tool in perinatal care, with cut-off values of 10 or higher and 13 or higher typically used to identify women who might be depressed.

    “The Edinburgh Postnatal Depression Scale (EPDS) is the most commonly used depression screening tool in perinatal care, with cut-off values of 10 or higher and 13 or higher typically used to identify women who might be depressed”
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Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Conflicting counts of studies that did not contribute data

    Minor

    The results section says 26 eligible studies did not contribute individual participant data, but the limitations section says data were not obtained from 25 of 83 eligible datasets. The reported totals of 83 eligible and 58 included also leave 25 without data.

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Citations

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Research works printed but not linked: 1

  1. O’Connor E Rossom RC Henninger M . Screening for depression in adults: an updated systematic evidence review for the US Preventive Services Task Force: evidence synthesis No. 128. [AHRQ Publication No. 14-05208-EF-1] Agency for Healthcare Research and Quality, 2016.

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Metadata

Authors
Levis, B., Negeri, Z., Sun, Y., Benedetti, A., & Thombs, B. D.
Affiliations
  • Jewish General Hospital (CA)
  • McGill University Health Centre (CA)
Corresponding author
Thombs, Brett D
Venue
BMJ
Publisher
BMJ
Published
2020-11-11
Volume
371
Pages
m4022
ISSN
1756-1833 (ISSN-L)
OpenAlex
W3093810429
Cited by
922
References
42
Citations by year
2026: 174 · 2025: 216 · 2024: 190 · 2023: 167 · 2022: 123 · 2021: 50 · 2020: 1
FWCI
14.25
Type
journal article
Language
en
Open access
Locations
  • BMJ (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (acceptedVersion, other-oa)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, cc-by-nc)
  • Diva portal (Dalarna University Library) (submittedVersion, other-oa)
  • eScholarship@McGill (McGill) (submittedVersion, cc-by-nc)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • National Science Foundation
  • Patrick and Catherine Weldon Donaghue Medical Research Foundation
  • Yale University
  • Universidad de Santiago de Chile
  • University of Connecticut
  • McGill University
  • Faculty of Medicine, McGill University
  • Sveučilište u Zagrebu
  • Wellcome Trust (211374/Z/18/Z, 082384/Z/07/Z/, 071571)
  • McGill University Health Centre
  • Australian Government
  • National Institute for Health and Care Research (RP-PG-1210-12002, RP-DG-1108-10012)
  • Department of Health and Social Care
  • University of Southampton
  • King's College London
  • University of Oxford
  • University of Bristol
  • National Research Foundation
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (0000000, 10002, 32003B, 125493)
  • University of New South Wales
  • Deakin University
  • Monash University
  • Fundação de Amparo à Pesquisa do Estado de São Paulo
  • Chulalongkorn University (CU-56-457-HR)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (POCI 2010, 00000-00, 2014-5)
  • Sapienza Università di Roma
  • China Medical University Hospital
  • Università degli Studi di Firenze
  • Harry Crossley Foundation
  • Fundação de Amparo à Pesquisa do Estado de Minas Gerais (0000000, POCI 2010)
  • Department of Families, Housing, Community Services and Indigenous Affairs
  • Université de Genève
  • Ministério da Saúde
  • Uppsala Universitet
  • University of Cape Town
  • China Medical University
  • Universidade do Minho
  • Ingham Institute for Applied Medical Research
  • Szegedi Tudományegyetem
  • Werner Otto Stiftung
  • Duke Global Health Institute, Duke University (453-0751)
  • Feinberg School of Medicine
  • Institute of Psychiatry, Psychology and Neuroscience, King’s College London
  • Canadian Institutes of Health Research (140994_1)
  • Fonds de Recherche du Québec - Santé
  • Medical Research Council (MR/S035818/1)
  • National Health and Medical Research Council
  • Faculty of Medicine, Chulalongkorn University
  • Programme Grants for Applied Research (RP-PG-1210-12002)
  • Universitätsklinikum Hamburg-Eppendorf
  • National Institute of Mental Health (K23MH64476)
  • Fondo Nacional de Desarrollo Científico y Tecnológico (1130230)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and Neonatal Healthcare
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
Edinburgh Postnatal Depression Scale, postpartum depression, major depressive disorder, pregnancy, screening accuracy, sensitivity and specificity, cut-off values, diagnostic interview, MINI, semi-structured interviews, reference materials, subgroup analysis, maternal mental health
MeSH terms
Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Pregnancy, Pregnancy Complications, Prenatal Care, Psychometrics, Sensitivity and Specificity, Depression, Postpartum

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