Evidence map›Paper›PMID 40908111›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2025

Comparison of US TBI-related emergency department visits from two data sources: NEISS-AIP and HCUP-NEDS.

Jill Daugherty, Karen Thomas, Dana Waltzman, Daniel Chang, Michael F Ballesteros

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jill DaughertyDivision of Injury Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA jdaugherty@nashia.org.ORCID http://orcid.org/0000-0001-9277-0712
Karen ThomasDivision of Injury Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Dana WaltzmanDivision of Injury Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Daniel ChangDivision of Injury Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Michael F BallesterosDivision of Injury Prevention, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundTraumatic brain injury (TBI) surveillance in the USA has historically used hospital administrative datasets and vital records to determine the number and rate of people who are hospitalised or die from a TBI. However, gaps exist in obtaining timely and accurate estimates of emergency department (ED)-treated TBIs. The purpose of this paper is to compare the number of TBI-related ED visits derived from two national datasets.

methodsWe used 2016-2021 data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) and the Healthcare Cost and Utilization Project - Nationwide ED Sample (HCUP-NEDS). Estimates over time were compared.

resultsApplying a broad TBI case definition to NEISS-AIP that included concussions, skull fractures and internal injuries of the head, an average of 3.0 million TBI-related ED visits occurred on an annual basis, with the number of visits ranging from 2.8 million to 3.2 million. When using the broadest definition of TBI in HCUP-NEDS, which includes the unspecified injury of the head code, there were an average of 2.7 million TBI-related visits per year (estimates ranged from 2.4 million to 2.9 million). However, the narrower definition of TBI, which did not include unspecified injury of the head, found an average of 1.1 million visits per year, ranging from 1.0 million to 1.1 million. DISCUSSION AND

conclusionWhen using the broadest definitions of TBI for both datasets, the number of annual TBI-related ED visits is similar. Deciding which dataset to use for TBI surveillance will depend on the project's goals.

Indexed as

Public HealthSurveillanceTraumatic Brain Injury

Identifiers

PMID40908111
PMCPMC12970392

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.