98%
921
2 minutes
20
Background: Monitoring temporal trends in firearm injury-related emergency department (ED) visits is challenging because traditional surveillance systems lack detailed temporal information.
Objective: To describe temporal patterns of ED visits for firearm injury using data from the Centers for Disease Control and Prevention's (CDC) Firearm Injury Surveillance Through Emergency Rooms (FASTER) program.
Design: Cross-sectional analysis of firearm injury-related ED visits.
Setting: 9 states (Florida, Georgia, New Mexico, North Carolina, Oregon, Utah, Virginia, Washington, and West Virginia) and the District of Columbia from 1 January 2018 to 31 August 2023.
Patients: ED visits for firearm injury ( = 93 022) from CDC's FASTER program.
Measurements: ED visits for firearm injury per 100 000 ED visits, analyzed by time of day (in 30-minute intervals), day of the week, day of the year, and holidays.
Results: From January 2018 through August 2023, there were 93 022 firearm injury ED visits (73.9 per 100 000 ED visits), or approximately 1 firearm injury every 30 minutes overall. Rates of firearm injury ED visits were highest between 2:30 and 3:00 a.m. and lowest between 10:00 and 10:30 a.m. Nighttime peaks and daily rates were highest on Friday and Saturday. Monthly rates were highest in July and lowest in February; daily rates were disproportionately high on most holidays, especially Independence Day and New Year's Eve.
Limitations: Data are limited to 9 states and the District of Columbia and are not nationally representative. The analysis of ED visits for firearm injury does not distinguish injury intent and is based on arrival time rather than actual injury time.
Conclusion: Distinct temporal patterns in firearm injury ED visits highlight resource allocation considerations for prevention and response efforts.
Primary Funding Source: Centers for Disease Control and Prevention.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12088878 | PMC |
http://dx.doi.org/10.7326/ANNALS-24-02874 | DOI Listing |
Inquiry
September 2025
Northwestern University, Chicago, IL, USA.
Risk-based firearm laws are a firearm injury prevention strategy. However, evidence for their efficacy in reducing firearm injury is mixed. There is agreement that the magnitude of their effect depends on implementation and efficacy would improve with better implementation.
View Article and Find Full Text PDFPediatrics
September 2025
PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Soc Sci Med
August 2025
University of Michigan Population Studies Center, 426 Thompson Avenue, Ann Arbor, MI, 48106, USA; Department of Health Behavior and Health Equity, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. Electronic address:
Firearm violence is a leading cause of injury and death among youth and young adults in the U.S. with notable inequities across race and ethnicity, geography, and gender.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
OCHIN, Portland, OR, United States.
Background: Structured data codes capture acute bodily injury from firearm violence but do not necessarily describe follow-up care from bodily injury and secondary exposure to firearm violence (eg, witnessing a shooting, being threatened by a firearm, or losing a loved one to gun violence and injury from firearms) even though such exposure is associated with many short- and long-term health impacts. Clinical notes from electronic health records (EHRs) often contain data not otherwise captured in structured data fields and can be categorized using natural language processing (NLP).
Objective: This study protocol outlines the steps being taken to develop an NLP text classifier for determination of exposure to firearm violence (both primary and secondary exposure) from ambulatory primary care and behavioral health EHR clinical notes for persons aged ≥5 years.