The DOI matches its Crossref record.
A Population-Based Study of Trauma Recidivism
Abstract
Background Patients with repeat presentations to acute care hospitals for new injuries are trauma recidivists. Prospective identification of those patients at greatest risk will permit focusing of limited hospital prevention resources. Methods A population-based analysis of patients with recurrent trauma presenting to all hospitals in Nevada during a 5-year period was conducted. Records of 10,355 presentations representing 10,137 patients were analyzed. Results Recidivist trauma patients were younger than non-recidivists, with patients aged 20 to 24 years having significantly higher rates of recidivism. Males were 1.53 times more likely than females to become recidivists. Cutting/piercing and machinery-related injuries were most frequently associated with recidivism. Cutting/piercing wound survivors were 7.06 times more likely to be recidivists than were gunshot wound survivors. Recidivists in motor vehicles crashes were 1.92 times less likely to wear seat belts than nonrecidivists. Recidivism was also significantly associated with positive blood alcohol levels and longer initial hospital stays. Conclusion The rate of trauma recidivism in this study was 2.0%. Population-based data can be used to identify cohorts at risk of recidivism.
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“This may account for the higher recurrent injury observed in this study compared to others reporting recurrent firearm injury ranging from one to 10% across a variety of clinical and geographic settings and time periods.15,18,33-44”
From Incidence of and Factors Associated With Recurrent Firearm Injury Among Patients Presenting to St. Louis Trauma Centers, 2010 to 2019 (2023) · cites this paper as [33]
In the citing paper
“The time-based approach is most often applied to studies of firearm injury recurrence, with days since prior injury ranging from 1 to 90 days, depending on the study [7][8][9]”
From Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020 (2024) · cites this paper as [7]
In the citing paper
“Two proxy measures commonly used in the existing body of literature are (1) ED visits and (2) time between firearm injury encounters.2,4-9”
From Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020 (2024) · cites this paper as [7]
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Research works printed but not linked: 19
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Field, C. A., & Caetano, R. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2009.11.025 · Cited by 53
Mueller, K. L., Cooper, B. P., Moran, V., Lew, D., Ancona, R., Landman, J. M., Spruce, M., Marotta, P., Liss, D. B., Mancini, M. A., et al. (2023) · Annals of Internal Medicine · doi:10.7326/m23-0069 · Cited by 21
“This may account for the higher recurrent injury observed in this study compared with others reporting recurrent fi rearm injury ranging from 1% to 10% across various clinical and geographic settings and time periods (15, 17, 18, 33 – 43).”
ResultMachine learning classification of new firearm injury encounters in the St Louis region: 2010-2020
Ancona, R. M., Cooper, B. P., Foraker, R., Kaser, T., Adeoye, O., & Mueller, K. L. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae173 · Cited by 7
Metadata
- Authors
- Kaufmann, C. R., Branas, C. C., & Brawley, M. L.
- Affiliations
- Health Resources and Services Administration (US)
- ORCID
- Branas, Charles C.
- Venue
- The Journal of Trauma: Injury, Infection, and Critical Care
- Published
- 1998-08
- Volume
- 45
- Issue
- 2
- Pages
- 325-332
- ISSN
- 1079-6061
- OpenAlex
- W1980220749
- Cited by
- 88
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 6 · 2023: 5 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 10 · 2014: 5 · 2013: 3 · 2012: 4
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Emergency Medicine › Trauma and Emergency Care Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Injury Epidemiology and Prevention
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Keywords
- trauma recidivism, injury recurrence, injury prevention, gunshot wounds, traffic accidents, seat belt use, blood alcohol, length of hospital stay, risk factors, young adults, sex differences, Nevada
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Infant, Length of Stay, Male, Middle Aged, Multiple Trauma, Nevada, Patient Readmission, Population Surveillance, Prospective Studies, Recurrence, Registries, Risk Factors, Time Factors, Logistic Models, Age Distribution, Sex Distribution, Community Health Planning
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