Evidence map›Paper›PMID 34489361›Full record

ArticleEvidence-based mental health2022

Using computerised adaptive tests to screen for perinatal depression in underserved women of colour.

Elizabeth Wenzel, Beatriz Penalver Bernabe, Shannon Dowty, Unnathi Nagelli, Lacey Pezley, Robert Gibbons, Pauline Maki

Open access · greenAbstract read
In one paragraph

Article in Evidence-based mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Elizabeth Wenzel *Psychiatry, University of Illinois, Chicago, Illinois, USA.ORCID 0000-0002-7732-608X
Beatriz Penalver Bernabe *Biomedical Engineering, University of Illinois, Chicago, Illinois, USA.
Shannon DowtyPsychiatry, University of Illinois, Chicago, Illinois, USA.
Unnathi NagelliPsychiatry, University of Illinois, Chicago, Illinois, USA.
Lacey PezleyPsychiatry, University of Illinois, Chicago, Illinois, USA.
Robert GibbonsDepartment of Medicine, University of Chicago, Chicago, Illinois, USA.
Pauline MakiPsychiatry, University of Illinois, Chicago, Illinois, USA pmaki1@uic.edu.
University of Illinois Chicago · USUniversity of Chicago · US

Funding

Strengthening Stakeholder Engagement in Human Research Protections.UL1TR002003 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KARNIK, NIRANJAN SUBHASH, MERMELSTEIN, ROBIN J. · 2016 to 2024
$33.7M
UIC Building Interdisciplinary Research Careers in Women's Health ProgramK12HD101373 · NICHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BUHIMSCHI, IRINA A, MAKI, PAULINE M · 2020 to 2023
$2.9M
Human Microbiome and Perinatal DepressionR03HD095056 · NICHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GILBERT, JACK ANTHONY, MAKI, PAULINE M · 2018 to 2019
$176k
NCATS NIH HHS UL1 TR002003NICHD NIH HHS K12 HD101373NICHD NIH HHS R03 HD095056
6 · The paper itself

Abstract

backgroundCompared with traditional screening questionnaires, computerised adaptive tests for severity of depression (CAT-DI) and computerised adaptive diagnostic modules for depression (CAD-MDD) show improved precision in screening for major depressive disorder. CAT measures have been tailored to perinatal women but have not been studied in low-income women of colour despite high rates of perinatal depression (PND).

objectiveThis study aimed to examine the concordance between CAT and traditional measures of depression in a sample of primarily low-income black and Latina women.

methodsIn total, 373 women (49% black; 29% Latina) completed the Patient Health Questionnaire-9 (PHQ-9), CAD-MDD and CAT-DI at 845 visits across pregnancy and postpartum. We examined the concordance between continuous CAT-DI and PHQ-9 scores and between binary measures of PND diagnosis on CAD-MDD and the PHQ-9 (cut-off score >10). We examined cases with a positive PND diagnosis on the CAD-MDD but not on the PHQ-9 ('missed' cases) to determine whether clinic notes were consistent with CAD-MDD results.

findingsCAT-DI and PHQ-9 scores were significantly associated (concordance correlation coefficient=0.67; 95% CI 0.58 to 0.74). CAD-MDD detected 5% more case of PND compared with PHQ-9 (p<0.001). The average per-visit rate of PND was 14.4% (14.5% in blacks, 14.9% in Latinas) on the CAD-MDD, and 9.5% (9.8% in blacks, 8.8% in Latinas) on the PHQ-9. Clinical notes were available on 60% of 'missed' cases and validated CAD-MDD PND diagnosis in 89% of cases.

conclusionsCAD-MDD detected 5% more cases of PND in women of colour compared with traditional tests, and the majority of these cases were verified by clinician notes. CLINICAL IMPLICATIONS: Use of CAT in routine clinic care may address health disparities in PND screening.

Indexed as

Major Depressive DisorderDepressionFemaleHumansMass ScreeningPregnancyPsychiatric Status Rating ScalesSkin Pigmentationadult psychiatryanxiety disordersdepression & mood disorders

Identifiers

PMID34489361
PMCPMC8792164
OpenAlexW3196658053

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.