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Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates
BACKGROUND: Skin 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. METHODS: A prospective study was complete...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572893/ https://www.ncbi.nlm.nih.gov/pubmed/31236011 http://dx.doi.org/10.1177/1178632919845630 |
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author | Broom, Margaret Dunk, Ann Marie E Mohamed, Abdel-Latif |
author_facet | Broom, Margaret Dunk, Ann Marie E Mohamed, Abdel-Latif |
author_sort | Broom, Margaret |
collection | PubMed |
description | BACKGROUND: Skin 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. METHODS: A 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. RESULTS: In 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 (SE) of 0.94 (0.02) compared with 0.82 (0.03) for BQS (0.011, P < .001). The SRAMT and BQS had sensitivity of [(90.0 (80.5-95.9), 72.86 (60.9-82.8)] and specificity [(88.46 (81.7-93.4), 79.23 (71.2-85.8)], respectively. CONCLUSION: In 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. |
format | Online Article Text |
id | pubmed-6572893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-65728932019-06-24 Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates Broom, Margaret Dunk, Ann Marie E Mohamed, Abdel-Latif Health Serv Insights Original Research BACKGROUND: Skin 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. METHODS: A 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. RESULTS: In 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 (SE) of 0.94 (0.02) compared with 0.82 (0.03) for BQS (0.011, P < .001). The SRAMT and BQS had sensitivity of [(90.0 (80.5-95.9), 72.86 (60.9-82.8)] and specificity [(88.46 (81.7-93.4), 79.23 (71.2-85.8)], respectively. CONCLUSION: In 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. SAGE Publications 2019-06-14 /pmc/articles/PMC6572893/ /pubmed/31236011 http://dx.doi.org/10.1177/1178632919845630 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Broom, Margaret Dunk, Ann Marie E Mohamed, Abdel-Latif Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates |
title | Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates |
title_full | Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates |
title_fullStr | Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates |
title_full_unstemmed | Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates |
title_short | Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates |
title_sort | predicting neonatal skin injury: the first step to reducing skin injuries in neonates |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572893/ https://www.ncbi.nlm.nih.gov/pubmed/31236011 http://dx.doi.org/10.1177/1178632919845630 |
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