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Record W4313454389 · doi:10.1089/bfm.2022.0151

Neonatal Intensive Care Unit Interventions to Improve Breastfeeding Rates at Discharge Among Preterm and Low Birth Weight Infants: A Systematic Review and Meta-Analysis

2023· review· en· W4313454389 on OpenAlexaff
Jia Tong Song, Mai‐Lei Woo Kinshella, Kondwani Kawaza, David A. Goldfarb

Bibliographic record

VenueBreastfeeding Medicine · 2023
Typereview
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBreastfeedingMedicinePsychological interventionNeonatal intensive care unitCINAHLLow birth weightBreast feedingIntensive carePopulationOdds ratioPediatricsMeta-analysisMEDLINEObstetricsNursingPregnancyIntensive care medicineEnvironmental health

Abstract

fetched live from OpenAlex

Background:While breast milk is widely accepted as the best source of nutrients for almost all newborns, breastfeeding can be especially challenging for preterm and low birth weight (LBW) infants. With increased risk of admission to neonatal intensive care units (NICUs) and separation from parents, this population experiences significant barriers to successful breastfeeding. Thus, it is crucial to identify interventions that can optimize breastfeeding for preterm and LBW infants that is continued from birth and admission, through to hospital discharge and beyond. Objectives:To identify and analyze evidence-based interventions that promote any and exclusive breastfeeding among preterm and LBW neonates at discharge and/or postdischarge from hospital. Methods:A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) checklist. Searches were performed in the following databases: MEDLINE Ovid, EMBASE, Web of Science, and Cumulative Index to Nursing and Allied Health (CINAHL). Results:From the 42 studies included, 6 groups of intervention types were identified: educational and breastfeeding support programs, early discharge, oral stimulation, artificial teats and cups, kangaroo mother care (KMC), and supportive policies within NICUs. All groupings of interventions were associated with significantly increased rates of any breastfeeding at discharge. All types of interventions except artificial teats/cups and oral stimulation showed statistically significant increases in exclusive breastfeeding at discharge. KMC demonstrated the highest increased odds of breastfeeding at discharge among preterm and LBW infants. Conclusions:A variety of effective interventions exist to promote breastfeeding among hospitalized preterm and LBW infants. Hospital settings hold unique opportunities for successful breastfeeding promotion.PROSPERO registration: CRD42021252610

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.003
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.379
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2023
Admission routes1
Has abstractyes

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