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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...

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Autores principales: Broom, Margaret, Dunk, Ann Marie, E Mohamed, Abdel-Latif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
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.
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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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