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Updated: Aug 26, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Addressing drivers of healthcare utilization for neonatal opioid withdrawal syndrome
Megan Glait1, Andrea Moyer2, Kris Saudek3
1University of California Los Angeles Geffen School of Medicine, Los Angeles, CA, USA.
Insights
Implementing quality improvement initiatives significantly reduced healthcare utilization for infants at risk of neonatal opioid withdrawal syndrome (NOWS). This study demonstrates a successful strategy for managing NOWS infants and lowering costs.
Area of Science:
- Neonatal care
- Quality Improvement Science
- Healthcare Management
Background:
- Infants at risk of neonatal opioid withdrawal syndrome (NOWS) often experience high healthcare utilization.
- Effective strategies are needed to reduce healthcare utilization and associated costs for this vulnerable population.
Purpose of the Study:
- To decrease healthcare utilization for infants at risk of NOWS by 30% within one year and sustain this reduction for two years.
- To identify and address key drivers of variability in healthcare utilization for NOWS infants.
Main Methods:
- Utilized Plan-Do-Study-Act (PDSA) cycles informed by baseline data from three newborn nurseries (January 2016 - June 2018).
- Employed Shewhart process control charts to monitor length of stay (LOS), pharmacologic treatment (PT) rates, and direct costs (DC).
- Evaluated process and balancing measures for special cause variation (SCV) from August 2018 to December 2021.
Main Results:
- Achieved a significant downward special cause variation (SCV) in LOS, reducing it from 12.6 to 4.4 days.
- Demonstrated a substantial decrease in pharmacologic treatment (PT) rates from 53% to 17%.
- Reduced direct costs (DC) from $12,593.82 to $5,219.17 per infant.
Conclusions:
- Transitioning from the MFNASS to ESC model led to a marked decrease in healthcare utilization for infants at risk of NOWS.
- Quality improvement (QI) methodology successfully identified persistent variability drivers, including the COVID-19 pandemic and provider specialty.
- The findings underscore the effectiveness of QI in optimizing care for NOWS infants and reducing healthcare resource burden.
Objective:
Aim to reduce healthcare utilization (HU) for infants at risk of neonatal opioid withdrawal syndrome (NOWS) by 30% in 1 year and sustain for 2 years.
Study Design:
Baseline data from three Level I & II newborn nurseries from January 2016 to June 2018 informed PDSA cycles from August 2018 to December 2021. Shewhart process control charts evaluated length of stay (LOS), pharmacologic treatment (PT) rates, direct cost (DC), process, and balancing measures for special cause variation (SCV).
Results:
Two hundred and seventeen infants showed downward SCV in LOS (12.6 to 4.4 days), PT (53% to 17%) and DC ($12593.82 to $5219.17). Onset of the COVID-19 pandemic coincided with reversible SCV. DC varied by provider specialty.
Conclusion:
Transition from MFNASS to ESC led to decrease in healthcare utilization for infants at risk of NOWS. QI methodology identified persistent drivers of variability, including the COVID-19 pandemic and provider specialty.
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