Evidence map›Paper›PMID 41823617›Full record

ArticleNursing in critical care2026

Evaluation of an Education Programme for Introducing Bioelectrical Impedance Analysis to Neonatal Unit Staff: A Mixed Methods Study.

D L McCarter, C Morgan, L Bray, L Tume

Abstract read
In one paragraph

Article in Nursing in critical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

D L McCarterEdge Hill University, Faculty of Health, Social Care & Medicine, Ormskirk, UK.ORCID https://orcid.org/0000-0002-1968-8592
C MorganNeonatal Intensive Care Unit, Liverpool Women's Hospital, Liverpool, UK.ORCID https://orcid.org/0009-0008-6785-1228
L BrayEdge Hill University, Faculty of Health, Social Care & Medicine, Ormskirk, UK.ORCID https://orcid.org/0000-0001-8414-3233
L TumeEdge Hill University, Faculty of Health, Social Care & Medicine, Ormskirk, UK.ORCID https://orcid.org/0000-0002-2547-8209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioelectrical Impedance Analysis (BIA) is a non-invasive method of body composition, which may be useful in improving fluid management decisions for sick and preterm infants.

aimTo implement and evaluate an education package for the multidisciplinary team who plan to use BIA within the Neonatal Intensive Care Unit (NICU) in future research. STUDY

designA mixed methods approach was used to evaluate the impact of an education package for the multidisciplinary team (MDT) working in the NICU regarding the use of bioelectrical impedance analysis (BIA). Knowledge acquisition was assessed and feedback sought regarding the content, format and delivery of the teaching.

resultsThere was a significant improvement in the median knowledge scores from 2.5 to 4/5 (p = < 0.001) after the education programme, with staff reporting a positive learning experience.

conclusionThis neonatal education package improved knowledge and was evaluated positively and could be used by other centres wishing to implement this technology. RELEVANCE TO CLINICAL PRACTICE: This education package will be useful for other NICUs wanting to implement this new technology into research or clinical practice. This model of education could be altered to facilitate the introduction of any new piece of technology into any intensive care setting.

Indexed as

Electric ImpedanceIntensive Care Units, NeonatalBody CompositionHumansInfant, Newbornbioelectrical impedance analysiseducationfluid managementmultidisciplinary teampreterm neonates

Identifiers

PMID41823617
PMCPMC12984483

What OpenQuestion holds

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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.