Evidence map›Paper›PMID 42151372›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Sustained improvement in caregiver-reported infant demographic collection: a pilot towards equitable outcomes in the neonatal intensive care unit.

Megan Barcroft, Bret Davis, Roopali Bapat, Tara Cosgrove, Stephanie Napolitano

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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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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Megan BarcroftDivision of Neonatology, Nationwide Children's Hospital, Columbus, OH, USA.
Bret DavisCenter for Clinical Excellence, Nationwide Children's Hospital, Columbus, OH, USA.
Roopali BapatDivision of Neonatology, Nationwide Children's Hospital, Columbus, OH, USA.ORCID http://orcid.org/0000-0002-2139-936X
Tara CosgroveCenter for Clinical Excellence, Nationwide Children's Hospital, Columbus, OH, USA.
Stephanie NapolitanoDivision of Neonatology, Nationwide Children's Hospital, Columbus, OH, USA. stephanie.napolitano@nationwidechildrens.org.ORCID http://orcid.org/0009-0000-3645-1805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfant mortality disparities, with prematurity among the leading causes of death, make it critical for neonatal intensive care units (NICUs) to assess internal demographic and outcomes data. Assessment of a delivery hospital NICU within a large children's hospital system revealed "Unavailable" infant race among the top demographic categories.

objectiveTo decrease the rate of "Unavailable" infant race in the electronic health record by 10% in a level III NICU by December 2023 and sustain for 1-year. DESIGN/

methodsWe developed a multidisciplinary team, completed Gemba walks, conducted Plan-do-study-act (PDSA) cycles, and analyzed outcomes in process control charts.

results"Unavailable" infant race decreased from 97% to 49% and was sustained. Modifying hospital registration processes, updating caregiver questionnaires, engaging and educating staff contributed to success and sustainment.

conclusionsWe reduced "Unavailable" data by 48% with 6-months sustainment prior to project expansion. Emulating this process can improve demographic data accuracy nationally.

Identifiers

PMID42151372

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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.