Evidence map›Paper›PMID 39615951›Full record

ReviewArchives of psychiatric nursing2024

An evolutionary concept analysis of depression in Black mothers.

Brittany N Taylor, Danielle Scharp, Alexandria Jones-Patten, Ruth Masterson Creber

Abstract readReview
In one paragraph

Review in Archives of psychiatric nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Brittany N TaylorColumbia University School of Nursing, 560 W 168th St, New York, NY 10032, United States of America. Electronic address: bt2542@cumc.columbia.edu.
Danielle ScharpColumbia University School of Nursing, 560 W 168th St, New York, NY 10032, United States of America. Electronic address: dks2147@cumc.columbia.edu.
Alexandria Jones-PattenColumbia University School of Nursing, 560 W 168th St, New York, NY 10032, United States of America. Electronic address: aj3194@cumc.columbia.edu.
Ruth Masterson CreberColumbia University School of Nursing, 560 W 168th St, New York, NY 10032, United States of America. Electronic address: rm3284@cumc.columbia.edu.

Funding

NRSA Training CoreTL1TR001875 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SPANN, MARISA N, TAYLOR, JACQUELYN Y · 2016 to 2025
$8.9M
NCATS NIH HHS TL1 TR001875
6 · The paper itself

Abstract

backgroundDepression is a common mental health disorder but can be difficult to diagnose. Its prevalence in Black mothers is nine times the national rate, possibly due to barriers in receiving care. In addition, depression may present differently in this group. PURPOSE: The purpose of this concept analysis was to clarify the concept of depression in Black mothers.

methodsFour databases were searched for articles focusing on depression in Black mothers. Rodgers' Evolutionary Method was used to identify characteristics of depression.

findingsAntecedents included discrimination, decreased social support, and single marital status. Attributes included anger, low self-esteem, and self-hate. Consequences included negative mental health outcomes in the child. DISCUSSION: Many of the characteristics of depression identified in this concept analysis are prevalent in Black mothers. Mental health screenings should include assessments of these factors, and providers should aid Black mothers in identifying stressors and formulating coping strategies.

Indexed as

Black or African AmericanDepressionMothersAdaptation, PsychologicalAdultFemaleHumansPrevalenceSelf ConceptSocial SupportBlack womenConcept analysisDepressionHealth disparitiesMental healthWomen's health

Identifiers

PMID39615951
PMCPMC11609407

What OpenQuestion holds

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Registered trials

None linked

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.