Evidence map›Paper›PMID 38773215›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2024

Associations between sociodemographic characteristics and neonatal length of the stay.

Natalie Amodei, Ellen Nixon, Shilling Zhang, Yong Hu, Ashlee Vance, Melissa Maye

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Natalie AmodeiWayne State University School of Medicine, Detroit, MI, USA.
Ellen NixonAmerican Hospital Association, Chicago, IL, USA.
Shilling ZhangHenry Ford Health, Detroit, MI, USA.
Yong HuHenry Ford Health, Detroit, MI, USA.
Ashlee VanceHenry Ford Health and Michigan State University Health Sciences (HFH+MSU Health Sciences), Center for Health Policy and Health Services Research, One Ford Place, Detroit, MI, USA.
Melissa MayeHenry Ford Health and Michigan State University Health Sciences (HFH+MSU Health Sciences), Center for Health Policy and Health Services Research, One Ford Place, Detroit, MI, USA. mmaye1@hfhs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfants with past NICU admission have a significantly higher risk of developing neurodevelopmental disorders. Studies have demonstrated an iatrogenic effect of the NICU environment on neurodevelopmental outcomes, even while accounting for physical factors. It is, therefore, critical that an infant's LOS is driven by physical needs versus sociodemographic barriers.

methodsWe leveraged electronic health records and a backward selection regression model to explore physical and sociodemographic predictors of infant LOS.

resultsOur results demonstrated that physical predictors (birthweight and ventilator use) accounted for the majority of variance in our model but that a sociodemographic predictor, mean visits per day, was also significant.

conclusionsInfants who were visited more frequently experienced a shorter LOS, possibly due to increased parental involvement resulting in more individualized care and directly impacting infant stability and morbidity. By supporting visitation, we can reduce the costs of lengthy NICU hospitalizations while improving infant and parent health and well-being.

Indexed as

Intensive Care Units, NeonatalLength of StayBirth WeightElectronic Health RecordsFemaleHumansInfant, NewbornInfant, PrematureMaleRespiration, ArtificialRetrospective StudiesSocioeconomic Factors

Identifiers

What OpenQuestion holds

Textmetadata
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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.