TY - JOUR
T1 - Predicting Neonatal Skin Injury
T2 - The First Step to Reducing Skin Injuries in Neonates
AU - Broom, Margaret
AU - Dunk, Ann Marie
AU - E Mohamed, Abdel Latif
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: ACT Nursing and Midwifery Research Office Practice Development Grant.
Funding Information:
We acknowledge the staff and NICU management for their support of this project. Special thanks to the key members of our team: Wendy Burton and Leanne Ehrich, for their expert advice in every stage of this project; Jasmine Song and Joelle Auguta for their assistance with data collection for this study. We also acknowledge the ACT Nursing and Midwifery Research Office for the Practice Development Grant that assisted with study funding. Our group also acknowledge all the other teams across the world who have developed paediatric skin tools that we have learnt from; you have greatly assisted us in developing a tool to meet the needs of our NICU. The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: ACT Nursing and Midwifery Research Office Practice Development Grant.
Publisher Copyright:
© The Author(s) 2019.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Infant
KW - pressure injury
KW - risk assessment
KW - skin injury
UR - http://www.scopus.com/inward/record.url?scp=85083824240&partnerID=8YFLogxK
U2 - 10.1177/1178632919845630
DO - 10.1177/1178632919845630
M3 - Article
AN - SCOPUS:85083824240
SN - 1178-6329
VL - 12
SP - 1
EP - 10
JO - Health Services Insights
JF - Health Services Insights
ER -
