Usability of Emergency Department Narratives for Describing Non-fatal Drowning in the United States, 2013-2022

<b>Objective:</b> To determine the usability of National Electronic Injury Surveillance System All Injury Program (NEISS-AIP) narrative data in identifying drowning circumstances, and to describe drowning-related emergency department (ED) visits in the U.S. from 2013 to 2022. <b>Methods:</b> We identified non-fatal unintentional drowning incidents using an expanded version of the definition used by CDC WISQARS. It includes a separate search of visits using the diagnosis of the incident and text analysis of the narratives using key words to describe drowning incidents and circumstances. Descriptive statistics of non-fatal drowning incidents and their circumstances were calculated. <b>Results:</b> There were 2423 ED visits representing 94 000 non-fatal drowning ED visits identified (2.90 per 100 000 persons) from 2013 to 2022. The majority of non-fatal drowning ED visits occurred among children aged 1-4 (25.78 per 100 000 children). We found over 55% of non-fatal drowning visits happened in a pool and among children 14 and younger, 28.5% were alone without an adult when the non-fatal drowning occurred. <b>Conclusion:</b> NEISS-AIP narrative data is unique in identifying certain characteristics of non-fatal drowning such as specific bodies of water that may not be included in other data sources. Fatal and non-fatal drowning incidents are preventable, and these data can inform implementation of effective intervention strategies.

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Publication Details

Journal
American Journal of Lifestyle Medicine
Published
2026-01-14
DOI
https://doi.org/10.1177/15598276251415531
Primary Topic
Injury Epidemiology and Prevention
Type
article
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article

Usability of Emergency Department Narratives for Describing Non-fatal Drowning in the United States, 2013-2022

Tessa Clemens, Briana L. Moreland, Nimi Idaikkadar, Dawson Dobash et al.
American Journal of Lifestyle Medicine
Injury Epidemiology and Prevention
article

Usability of Emergency Department Narratives for Describing Non-fatal Drowning in the United States, 2013-2022

Tessa Clemens, Briana L. Moreland, Nimi Idaikkadar, Dawson Dobash, Prada House
article en

Abstract

<b>Objective:</b> To determine the usability of National Electronic Injury Surveillance System All Injury Program (NEISS-AIP) narrative data in identifying drowning circumstances, and to describe drowning-related emergency department (ED) visits in the U.S. from 2013 to 2022. <b>Methods:</b> We identified non-fatal unintentional drowning incidents using an expanded version of the definition used by CDC WISQARS. It includes a separate search of visits using the diagnosis of the incident and text analysis of the narratives using key words to describe drowning incidents and circumstances. Descriptive statistics of non-fatal drowning incidents and their circumstances were calculated. <b>Results:</b> There were 2423 ED visits representing 94 000 non-fatal drowning ED visits identified (2.90 per 100 000 persons) from 2013 to 2022. The majority of non-fatal drowning ED visits occurred among children aged 1-4 (25.78 per 100 000 children). We found over 55% of non-fatal drowning visits happened in a pool and among children 14 and younger, 28.5% were alone without an adult when the non-fatal drowning occurred. <b>Conclusion:</b> NEISS-AIP narrative data is unique in identifying certain characteristics of non-fatal drowning such as specific bodies of water that may not be included in other data sources. Fatal and non-fatal drowning incidents are preventable, and these data can inform implementation of effective intervention strategies.

American Journal of Lifestyle Medicine
Oak Ridge Associated Universities (US), Morehouse School of Medicine (US), University of Memphis (US)
Openalex Percentile: Top 90%
Injury Epidemiology and Prevention
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Usability of Emergency Department Narratives for Describing Non-fatal Drowning in the United States, 2013-2022 — Tessa Clemens, Briana L. Moreland, et al. · American Journal of Lifestyle Medicine (2026) | TGRS Research Map | TGRS