The incidences of maternal opioid use and neonatal opioid withdrawal syndrome (NOWS) have increased by nearly 400% over the past decade. Isemann and colleagues (2017) developed prediction tools (TiTE/TiTE2) to differentiate, within the first two days of life, between infants who will require pharmacotherapy for NOWS from those infants who will not require pharmacotherapy for NOWS. The goal of the current experiment was to replicate and extend their prediction model. The present experiments successfully replicated Isemann et al., (2017) results and also established alternative cutoff values for requiring treatment that provide better balance between all four metrics. Moreover, new prediction models (TEN/TEN2) were proposed based on a factor analysis of modified Finnegan scores across the first 48 hours of life. Area Under the Curve-Receiver Operating Characteristic curve analyses indicated that the TEN2 was the best prediction model compared to the TiTE2 and the TEN.

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This study examined healthcare professionals’ perceptions on feeding difficulties experienced by infants with NOWS, the involvement of SLP in care, knowledge and experience levels of professionals, and trends in education and follow up care. A 34-question survey was developed to obtain data from participants involved in the care of exposed infants using the secure webbased RedCap™ platform. Nonparametric inferential statistics and descriptive analysis were used to interpret data. Feeding difficulties in infants exposed were reported by all respondents with SLP involvement reported by 42.2%. Results found that 51.9% of respondents were confident in their ability to educate families about feeding difficult with 60% reported inadequate time to provide education. Discharge follow up was inconsistent amongst facilities. The study supports early involvement of SLPs to address feeding difficulties and improve education.