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ABSTRACT: Background
Measuring 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.Methods
Disability 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
SUBMITTER: Moberg ME
PROVIDER: S-EPMC12278993 | biostudies-literature | 2025 Jun
REPOSITORIES: biostudies-literature