Improve Identification and Data Collection for NAS

Introductory Paragraph

One of the biggest challenges of addressing NAS is that it is not consistently identified, and collection of data and reporting is inconsistent.

Key Information

The Association of State and Territorial Health Officials (ASTHO) published: Strengthening Health Agencies' Neonatal Abstinence Syndrome Surveillance through consensus data & Standards in September of 2021. The standards include consideration for health agencies to improve current NAS surveillance.

Included in the ASTHO key considerations are key components for agencies that are working to improve NAS data collection and surveillance.

• Build a registry for NAS.
• Understand the landscape of NAS surveillance capacity.
• Achieve consensus through a data element submission tool process to inform standards around

Improve data sharing between public health and Medicaid agencies with a goal of expanding their capacity to use NAS data.

Build a Registry for NAS in order to provide collaboration in data collected and provide standard information across the country.

Steps to build a registry include:

• Identify a purpose.
• Determine if a registry is an appropriate means to achieve the purpose.
• Identify key stakeholders and how they have used or interacted with registries for other conditions.
• Assess feasibility.
• Build a registry team.
• Establish a governance and oversight plan.
• Consider the scope and rigor needed.
• Define the core data set, patient outcomes, and target population (data element submission process).
• Develop a study plan or protocol.
• Develop a project plan.

Understand the landscape for how state and territory health agencies collect NAS data and conduct surveillance as well as identify gaps in standards.

ASTHO conducted a scan from fall 2020 to spring 2021 to better understand data surveillance and also conducted focus groups in March 2021 to understand what states NAS data collection.

Relevant Research

Positive Predictive Value of Administrative Data for Neonatal Abstinence Syndrome

Standardization of State Definitions for Neonatal Abstinence Syndrome Surveillance and the Opioid Crisis

Impactful Federal, State, and Local Policies

Indiana State Department of Health

In 2014, because of the high rate of opioid prescriptions, the Indiana General Assembly charged the Indiana State Department of Health (ISDH) to: develop a standard clinical definition of NAS and a standardized process of identifying it, identify the resources hospitals need to do this, and then establish a voluntary pilot program with hospitals to implement this standardized NAS identification. As of 2016, 26 of 89 Indiana Birthing Hospitals are taking part in this pilot screening program . ISDH noted that universal screening in a non-punitive environment would allow us to understand the true prevalence of Perinatal Substance Use and NAS. The Indiana State Department of Health (ISDH) established a Task Force which defined a standard clinical definition of Neonatal Abstinence Syndrome

• The infant must:
• Be symptomatic
• Have two or three consecutive modified Finnegan scores equal to or greater than a total of 24
• And have one of the following:
  • A positive toxicology test OR
  • A maternal history with a positive verbal screen or toxicology test

Available Tools and Resources

Strengthening Health Agencies Neonatal Abstinence Syndrome Surveillance Through Consensus vs. Driven Data Standards and PracticesThe standards includes key considerations for health agencies that wish to improve NAS data collection and surveillance through the development of a registry.

World Health Organization Guidelines for the identification and management of substance use and substance use disorders in pregnancy - Includes methods of data collection and analysis.

Promising Practices

The Florida Perinatal Quality Collaborative- NAS Initiative: Key drivers of change A review of the data collection process.

Missouri Hospital Association Neonatal Abstinence Syndrome: Guidance to Improve Clinical Documentation and Data Capture- Identifies gaps, challenges and solutions for data capture and documentation.

Sources

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