Evidence map›Paper›PMID 40500121›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2026

Global Burden of Disease disability weights for the US National Electronic Injury Surveillance System - All Injury Program.

Madeline E Moberg, Jaimie D Steinmetz, Kanyin Liane Ong, Hailey Lenox, Ted R Miller, Cora Peterson

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 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

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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

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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

6 authors.

Madeline E MobergInstitute for Health Metrics and Evaluation, Seattle, Washington, USA mobergm@uw.edu.ORCID 0009-0001-0467-9714
Jaimie D SteinmetzInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Kanyin Liane OngInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Hailey LenoxInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Ted R MillerPacific Institute for Research and Evaluation, Beltsville, Maryland, USA.ORCID 0000-0002-0958-2639
Cora PetersonNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0001-7955-0977

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundMeasuring the impact of non-fatal injuries and violence is essential for informed public health policy-making and communications. This study aimed to generate new health-related quality of life data for a prominent US non-fatal injury surveillance source using disability weights derived from general population survey estimates.

methodsDisability weights reflecting severity as measured on a 0 (no disability) to 1 (death) scale, for 47 natures of injury from the Global Burden of Diseases, Risk Factors and Injuries Study (GBD) were mapped to 492 injury types in the US National Electronic Injury Surveillance System - All Injury Program (NEISS-AIP). The matching of GBD natures of injury to NEISS-AIP injury types was based on the underlying definitions for each injury diagnosis.

resultsThe average disability value weighted by incidence for all NEISS-AIP types was 0.073 (95% uncertainty interval: 0.050-0.097), and the range by injured body part and diagnosis was 0.006-0.408. Injuries that impacted large or critical body parts (lower trunk, upper trunk, head and neck) had the highest disability weights. Internal injuries, crushing, burns, nerve damage and fractures had higher disability weight values than lacerations, avulsions and contusions. The three most common NEISS-AIP non-fatal injury types during 2015-2020 were poisoning, internal injuries of the head and face lacerations, with disability weights of 0.163 (0.109-0.227), 0.168 (0.112-0.232) and 0.018 (0.010-0.029), respectively.

conclusionsMapping of publicly available disability weights data to a prominent non-fatal injury surveillance source can improve opportunities to measure and communicate the health and economic impact of injuries and violence.

Indexed as

Persons with DisabilitiesWounds and InjuriesAdultDisability EvaluationFemaleGlobal Burden of DiseaseHumansMalePopulation SurveillanceQuality of LifeUnited StatesDisabilityFunctional OutcomeInjury DiagnosisQuality Of Life

Identifiers

PMID40500121
PMCPMC12278993

What OpenQuestion holds

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LicenceCC BY-NC
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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.