Evidence map›Paper›PMID 31236011›Full record

ArticleHealth services insights2019

Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates.

Margaret Broom, Ann Marie Dunk, Abdel-Latif E Mohamed

Open access · goldAbstract read
In one paragraph

Article in Health services insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.9field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 47 citations in OpenAlex.

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  10. A wireless, skin-interfaced biosensor for cerebral hemodynamic monitoring in pediatric care.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Observational
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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

3 authors at 2 institutions in 1 country.

Margaret BroomDepartment of Neonatology, Centenary Hospital for Women and Children, Canberra Hospital and Health Services, Canberra, ACT, Australia.
Ann Marie DunkSynergy: Nursing and Midwifery Research Centre, UC and ACT Health, University of Canberra, Canberra, ACT, Australia.
Abdel-Latif E MohamedDepartment of Neonatology, Centenary Hospital for Women and Children, Canberra Hospital and Health Services, Canberra, ACT, Australia.ORCID https://orcid.org/0000-0003-4306-2933
University of Canberra · AUAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkin injuries remain common in neonates admitted to neonatal intensive care units. While predicting neonates at risk of skin injury may assist in reducing the incidence of injury, currently there is limited evidence on which tool may be superior.

methodsA prospective study was completed during November-December 2016 to evaluate the predictive value of the Skin Risk Assessment and Management Tool (SRAMT). Comparisons were made between SRAMT and Neonatal/Infant Braden-Q Scale (BQS) as well as staff's capacity to predict a neonate's risk of skin injury. Data collected included gestation, weight, day of assessment, injury types, causation, medical devices in situ and risk scores.

resultsIn total, 248 assessments were completed with 38% (93) recorded skin injuries. Median (interquartile range) gestation and weight at assessment were 36.7 (26.86-56.86) weeks and 2.44 (0.99-4.06) kg, respectively. Receiver operating characteristic curve analysis showed the SRAMT had AUC (

conclusionIn this study, the SRAMT's capacity to predict neonates at risk of injury was higher than the Neonatal BQS and staff. Predicting injuries remains complex and often multifactorial.

Indexed as

Infantpressure injuryrisk assessmentskin injury

Identifiers

PMID31236011
PMCPMC6572893
OpenAlexW2949607093

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.