Evidence map›Paper›PMID 41922789›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Social and structural disparities in family presence and engagement in the NICU.

Neha S Anand, Nikita S Kalluri, Erika G Cordova-Ramos, Aviel Peaceman, Molly Fraust-Wylie, Zuzanna Kubicka, Margaret G Parker

Abstract readMulticenter Study
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Neha S AnandDepartment of Pediatrics, Boston Medical Center, Boston, MA, USA. neha.anand2@ucsf.edu.ORCID http://orcid.org/0009-0007-7413-8175
Nikita S KalluriDepartment of Pediatrics, UMass Chan Medical School, Worcester, MA, USA.
Erika G Cordova-RamosDepartment of Pediatrics, Boston Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9836-2004
Aviel PeacemanDepartment of Pediatrics, Boston Medical Center, Boston, MA, USA.
Molly Fraust-WylieDepartment of Neonatology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Zuzanna KubickaDepartment of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Margaret G ParkerDepartment of Pediatrics, UMass Chan Medical School, Worcester, MA, USA.ORCID http://orcid.org/0000-0001-6338-3350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe examined associations of maternal sociodemographic factors and the Social Vulnerability Index (SVI) with NICU family presence and engagement (breastfeeding, skin-to-skin care, and receipt of discharge teaching 48 h prior to discharge).

methodsData was abstracted from medical records at six Massachusetts NICUs participating in a family engagement quality collaborative from 2021-2022. Sociodemographic factors included maternal race and ethnicity, language and insurance. SVI was determined from maternal zip code. We used mixed-effects logistic regression, accounting for clustering by hospital and multiple gestation and adjusting for covariates.

resultsAmong 450 mother-infant dyads, infants with non-Hispanic Black compared to non-Hispanic White mothers had lower odds of family presence. Public insurance and higher SVI were associated with lower odds of receiving mother's milk at discharge.

conclusionsFamily characteristics linked to social disadvantage were associated with less NICU family presence and engagement, underscoring the need for interventions to improve equitable NICU family engagement.

Indexed as

Intensive Care Units, NeonatalMothersSocial VulnerabilityAdultBlack or African AmericanBreast FeedingFemaleHumansInfant, NewbornKangaroo-Mother Care MethodLogistic ModelsMassachusettsSocioeconomic Disparities in HealthSocioeconomic FactorsWhite

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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.