Evidence map›Paper›PMID 41717532›Full record

ArticleAJPM focus2026

Mixed-Methods Evaluation of Massachusetts' Neonatal Abstinence Syndrome Surveillance System, 2020-2022.

Alyssa M Pochkar, Hanna M Shephard, Mahsa M Yazdy, Eirini Nestoridi

Abstract read
In one paragraph

Article in AJPM focus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alyssa M PochkarCouncil of State and Territorial Epidemiologists, Atlanta, Georgia.
Hanna M ShephardBureau of Family Health and Nutrition, Division for Family Health Data and Analytics, Massachusetts Department of Public Health, Boston, Massachusetts.
Mahsa M YazdyBureau of Family Health and Nutrition, Division for Family Health Data and Analytics, Massachusetts Department of Public Health, Boston, Massachusetts.
Eirini NestoridiBureau of Family Health and Nutrition, Division for Family Health Data and Analytics, Massachusetts Department of Public Health, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Massachusetts Department of Public Health established neonatal abstinence syndrome surveillance as an active, state-wide, population-based system using the Council of State and Territorial Epidemiologists (Tier 1) neonatal abstinence syndrome standardized surveillance case definition. This evaluation assessed the Massachusetts neonatal abstinence syndrome surveillance system and estimated the completeness and positive predictive value of case ascertainment methods. Methods: Neonatal abstinence syndrome surveillance system was evaluated through a system user survey ( Results: Neonatal abstinence syndrome surveillance system was found to be simple to use, flexible, and representative, with opportunities to improve timeliness. Case ascertainment was estimated to be 85.9% complete. ICD-10-CM code P96.1 had the highest positive predictive value for confirmed cases (69.9%) and for all case types (confirmed, probable, and suspect) combined (95.1%). P04.40 had the lowest positive predictive value for confirmed cases, whereas P04.1A had the lowest positive predictive value for all case types (43.5% for both codes). Conclusions: ICD-10-CM codes with higher positive predictive values can be utilized for neonatal abstinence syndrome case ascertainment, especially in jurisdictions with limited resources for case confirmation. Other sources of case ascertainment can be added to improve the completeness of neonatal abstinence syndrome surveillance. Findings from this evaluation can guide the evaluation and case ascertainment methods for jurisdictions already conducting or interested in establishing neonatal abstinence syndrome surveillance using the Council of State and Territorial Epidemiologists neonatal abstinence syndrome standardized surveillance case definition.

Indexed as

Completenessneonatal abstinence syndromepositive predictive valuesurveillance

Identifiers

PMID41717532
PMCPMC12915167

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