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Clinical Decision Support to Improve Dosing Weight Use in Infants with Neonatal Abstinence Syndrome
C Briana Bertoni1,2, Pavel Prusakov3, Jenna Merandi3
1Department of Neonatology, Nationwide Children's Hospital, Columbus, Ohio.
Insights
Clinical decision support (CDS) tools improved birth weight-based medication orders for neonatal abstinence syndrome (NAS), but workarounds reduced effectiveness. Standardizing weight-based NAS treatment decreased length of stay variability.
Area of Science:
- Neonatal care
- Pharmacology
- Public Health
Background:
- Opioid abuse is a US public health emergency, with rising prenatal opioid exposure.
- Up to 80% of opioid-exposed infants require pharmacotherapy for neonatal abstinence syndrome (NAS).
Purpose of the Study:
- To increase the percentage of NAS medication orders based on birth weight (BW) from 29% to 90% in neonates with NAS.
- To sustain this improvement for six months.
Main Methods:
- Utilized Institute for Healthcare Improvement methodology at an academic medical center.
- Focused interventions on clinical decision support (CDS) tools.
- Employed Shewhart charts and Nelson rules to analyze data.
Main Results:
- Implemented CDS interventions increased BW-based medication orders from 29% to 78%.
- Workarounds led to a decrease in BW-based orders to 48%.
- A significant decrease in length of stay variability was observed and persisted.
Conclusions:
- CDS tools can guide prescribing, but workarounds may limit their effectiveness.
- Standardized, weight-based NAS medication prescribing can reduce length of stay variability.
- Further research using a human factors approach is needed to minimize CDS workarounds and improve NAS care.
Introduction:
Opioid abuse in the United States is a public health emergency. From 2000 to 2009, prenatal maternal opiate use increased from 1.19 to 5.63 per 1,000 births, with up to 80% of in utero opioid-exposed infants requiring pharmacotherapy. This study aimed to increase the percentage of neonatal abstinence syndrome (NAS) medication orders based on birth weight (BW) in neonates admitted to a neonatal intensive care unit with a principal diagnosis of NAS from 29% to 90%, within 4 months of project initiation, and to sustain this for 6 months.
Methods:
This project occurred at an academic medical center with 5,000 deliveries per year and a 49-bed Level III neonatal intensive care unit. We used the Institute for Healthcare Improvement methodology, largely focusing interventions on clinical decision support (CDS) tools. We plotted all measures on Shewhart charts, and Nelson rules differentiated special versus common cause variation.
Results:
The percent of orders based on BW increased from 29% to 78% after implementing multiple interventions focused primarily on CDS. However, this later decreased to 48% as workarounds began. There was also a significant decrease in the length of stay variability, which persisted throughout the project.
Discussion:
CDS is a helpful tool to guide prescribing behavior; however, workarounds can negate its usefulness. Standardized use of BW for weight-based NAS medication prescribing can decrease the length of stay variability. Further studies are needed using a human factors approach to minimize workarounds in CDS and potentially decrease the length of stay in neonates with NAS.
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