Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2024 Mar;103(3):423-436.
doi: 10.1111/aogs.14734. Epub 2023 Nov 28.

Identification of depression and anxiety during pregnancy: A systematic review and meta-analysis of test accuracy

Affiliations
Meta-Analysis

Identification of depression and anxiety during pregnancy: A systematic review and meta-analysis of test accuracy

Elisabet Rondung et al. Acta Obstet Gynecol Scand. 2024 Mar.

Abstract

Introduction: Depression and anxiety are significant contributors to maternal perinatal morbidity and a range of negative child outcomes. This systematic review and meta-analysis aimed to review and assess the diagnostic test accuracy of selected screening tools (Edinburgh Postnatal Depression Scale [EPDS], EPDS-3A, Patient Health Questionnaire [PHQ-9]-, PHQ-2, Matthey Generic Mood Question [MGMQ], Generalized Anxiety Disorder scale [GAD-7], GAD-2, and the Whooley questions) used to identify women with antenatal depression or anxiety in Western countries.

Material and methods: On January 16, 2023, we searched 10 databases (CINAHL, Cochrane Library, CRD Database, Embase, Epistemonikos, International HTA Database, KSR Evidence, Ovid MEDLINE, PROSPERO and PsycINFO); the references of included studies were also screened. We included studies of any design that compared case-identification with a relevant screening tool to the outcome of a diagnostic interview based on the Diagnostic and Statistical Manual of Mental Disorders, fourth or fifth edition (DSM-IV or DSM-5), or the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10). Diagnoses of interest were major depressive disorder and anxiety disorders. Two authors independently screened abstracts and full-texts for relevance and evaluated the risk of bias using QUADAS-2. Data extraction was performed by one person and checked by another team member for accuracy. For synthesis, a bivariate model was used. The certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation (GRADE).

Registration: PROSPERO CRD42021236333.

Results: We screened 8276 records for eligibility and included 16 original articles reporting on diagnostic test accuracy: 12 for the EPDS, one article each for the GAD-2, MGMQ, PHQ-9, PHQ-2, and Whooley questions, and no articles for the EPDS-3A or GAD-7. Most of the studies had moderate to high risk of bias. Ten of the EPDS articles provided data for synthesis at cutoffs ≥10 to ≥14 for diagnosing major depressive disorder. Cutoff ≥10 gave the optimal combined sensitivity (0.84, 95% confidence interval [CI]: 0.75-0.90) and specificity (0.87, 95% CI: 0.79-0.92).

Conclusions: Findings from the meta-analysis suggest that the EPDS alone is not perfectly suitable for detection of major depressive disorder during pregnancy. Few studies have evaluated the other instruments, therefore, their usefulness for identification of women with depression and anxiety during pregnancy remains very uncertain. At present, case-identification with any tool may best serve as a complement to a broader dialogue between healthcare professionals and their patients.

Keywords: anxiety; depression; identification; meta-analysis; pregnancy; screening; systematic review.

PubMed Disclaimer

Conflict of interest statement

None.

Figures

FIGURE 1
FIGURE 1
PRISMA 2020 flow diagram for new systematic reviews which included searches of databases, registers and other sources. Diagram according to the PRISMA 2020 statement. For more information, visit: http://www.prisma‐statement.org/. *16 articles from NICE and two articles from Levis.

References

    1. Howard LM, Molyneaux E, Dennis CL, Rochat T, Stein A, Milgrom J. Non‐psychotic mental disorders in the perinatal period. Lancet. 2014;384:1775‐1788. - PubMed
    1. Woody CA, Ferrari AJ, Siskind DJ, Whiteford HA, Harris MG. A systematic review and meta‐regression of the prevalence and incidence of perinatal depression. J Affect Disord. 2017;219:86‐92. - PubMed
    1. Dennis CL, Falah‐Hassani K, Shiri R. Prevalence of antenatal and postnatal anxiety: systematic review and meta‐analysis. Br J Psychiatry. 2017;210:315‐323. - PubMed
    1. Stein A, Pearson RM, Goodman SH, et al. Effects of perinatal mental disorders on the fetus and child. Lancet. 2014;384:1800‐1819. - PubMed
    1. Howard LM, Khalifeh H. Perinatal mental health: a review of progress and challenges. World Psychiatry. 2020;19:313‐327. - PMC - PubMed