Preinjury and Event-Related Characteristics of Pediatric Firearm Injuries: The American College of Surgeons Firearm Study, United States, March 2021‒February 2022.
Katherine T Flynn-O'BrienChethan SathyaMeera KotagalSamantha BanksLauren L AgoubiDeborah A KuhlsAvery NathensAshley B HinkFrederick P RivaraPublished in: American journal of public health (2024)
Objectives. To assess differences in contextual factors by intent among pediatric firearm injury patients and determine factors associated with data missingness. Methods. We retrospectively queried the American College of Surgeons Firearm Study database (March 1, 2021-February 28, 2022) for patients aged 18 years or younger. We stratified preinjury, firearm-related, and event-related factors by intent and compared them by using Fisher exact, χ 2 , or 1-way analysis of variance testing. Secondary analysis estimated the adjusted odds of missingness by using generalized linear modeling with binominal logit link. Results. Among 17 395 patients, 2974 (17.1%) were aged 18 years or younger; 1966 (66.1%) were injured by assault, 579 (19.5%) unintentionally, and 76 (2.6%) by self-inflicted means. Most contextual factors differed by intent, including proportion of youths with previous adverse childhood experiences, mental illness, and violent assaults or injury, firearm type and access, perpetrator relationship, and injury location. In adjusted analyses, age, trauma center designation, intent, and admission status were associated with missingness. Conclusions. Contextual factors related to pediatric firearm injury vary by intent. Specific predictors associated with missingness may inform improved future data collection. Public Health Implications. Contextual factors related to pediatric firearm injury can be obtained in a systematic manner nationally to inform targeted interventions. ( Am J Public Health . Published online ahead of print August 15, 2024:e1-e13. https://doi.org/10.2105/AJPH.2024.307754).
Keyphrases
- public health
- end stage renal disease
- mental illness
- ejection fraction
- chronic kidney disease
- mental health
- emergency department
- peritoneal dialysis
- healthcare
- electronic health record
- physical activity
- randomized controlled trial
- quality improvement
- deep learning
- early life
- thoracic surgery
- molecular dynamics
- artificial intelligence
- trauma patients