Evidence map›Paper›PMID 35204899›Full record

ReviewChildren (Basel, Switzerland)2022

Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?

Roneé Wilson, Adriana Campos, Mannat Sandhu, Sarah Sniffen, Rashida Jones, Hope Tackett, Estrellita Berry, Adetola Louis-Jacques

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Children (Basel, Switzerland), 2022. 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
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

8 authors at 3 institutions in 1 country.

Roneé WilsonCollege of Public Health, University of South Florida, Tampa, FL 33612, USA.
Adriana CamposCollege of Public Health, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-6968-3327
Mannat SandhuUSF Health Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
Sarah SniffenUSF Health Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
Rashida JonesCollege of Public Health, University of South Florida, Tampa, FL 33612, USA.
Hope TackettREACHUP, Incorporated, Tampa, FL 33607, USA.
Estrellita BerryREACHUP, Incorporated, Tampa, FL 33607, USA.
Adetola Louis-JacquesCollege of Medicine, University of Florida, P.O. Box 100294, Gainesville, FL 32610, USA.ORCID 0000-0002-2119-9739
University of South Florida · USRealistic Education in Action Coalition to Foster Health · USUniversity of Florida · US

Funding

Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
HRSA HHS N/AMaternal and Child Health Bureau H49MC12793NCATS NIH HHS KL2 TR001429US Department of Human and Health Services N/A
6 · The paper itself

Abstract

objectivesEarly detection of depression in at-risk populations is critical for ensuring better maternal and child health outcomes. This study assessed whether Healthy Start Prenatal Risk Screening (HSPRS) could predict depressive symptoms in women enrolled in a Healthy Start (HS) program in under-resourced, high-risk communities of Hillsborough County.

methodsData from HS participants were included for those who were evaluated using the HSPRS and the Edinburgh Postnatal Depression Scale (EPDS). A correlation analysis determined if the HSPRS score was associated with a positive EPDS screen, and HSPRS questions related to the participants psychosocial environment were assessed individually to determine their predictive potential. The crude odds ratio (OR) and adjusted OR (controlling for sociodemographic covariates) were calculated for each question of interest.

resultsA total of 736 women were included, with 122 (16.5%) scoring 14 or greater on the EPDS, indicating probable depression risk. There were significant differences between women at risk for depression compared to those not at risk regarding maternal age ( SIGNIFICANCE: A young maternal age and single marital status have been identified as risk factors for perinatal depression. Additionally, women from racial/ethnic minority groups or low-income populations are more likely to experience depression. Thus, in communities where women exhibit many pre-identified risk factors for perinatal depression, the ability to quickly identify those at the highest risk is imperative. This work indicates that among medically and socially high-risk mothers enrolled in a HS program, the overall HSPRS score was not as predictive of perinatal depression as individual responses to key questions. Attention to these responses could result in women receiving much needed services quicker.

Indexed as

health disparitieshealthy startmaternal healthperinatal depression

Identifiers

PMID35204899
PMCPMC8870092
OpenAlexW4210539888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.