Youth violence prevention can be enhanced by geospatial analysis of trauma registry data
| العنوان: | Youth violence prevention can be enhanced by geospatial analysis of trauma registry data |
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| المؤلفون: | Doucet, Jay J, Godat, Laura N, Berndtson, Allison E, Liepert, Amy E, Weaver, Jessica L, Smith, Alan M, Kobayashi, Leslie M, Biffl, Walter L, Costantini, Todd W |
| المصدر: | The journal of trauma and acute care surgery, vol 93, iss 4 |
| بيانات النشر: | Ovid Technologies (Wolters Kluwer Health), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Adult, Adolescent, Clinical Sciences, Nursing, Cardiorespiratory Medicine and Haematology, Violence, Critical Care and Intensive Care Medicine, Basic Behavioral and Social Science, Young Adult, Trauma Centers, Clinical Research, Behavioral and Social Science, Humans, Registries, Injury - Childhood Injuries, Crime Victims, Retrospective Studies, Pediatric, Violence Research, Peace, Prevention, Emergency & Critical Care Medicine, Justice and Strong Institutions, Injury (total) Accidents/Adverse Effects, Surgery |
| الوصف: | BackgroundGeographic information systems (GIS) have been used to understand relationships between trauma mechanisms, locations, and social determinants for injury prevention. We hypothesized that GIS analysis of trauma center registry data for assault patients aged 14 years to 29 years with census tract data would identify geospatial and structural determinants of youth violence.MethodsAdmissions to a Level I trauma center from 2010 to 2019 were retrospectively reviewed to identify assaults in those 14 years to 29 years. Prisoners were excluded. Home and injury scene addresses were geocoded. Cluster analysis was performed with the Moran I test for spatial autocorrelation. Census tract comparisons were done using American Communities Survey (ACS) data by t-test and linear regression.ResultsThere were 1,608 admissions, 1,517 (92.4%) had complete addresses and were included in the analysis. Mean age was 23 ± 3.8 years, mean ISS was 7.5 ± 6.2, there were 11 (0.7%) in-hospital deaths. Clusters in six areas of the trauma catchment were identified with a Moran I value of 0.24 ( Z score = 17.4, p < 0.001). Linear regression of American Communities Survey demographics showed predictors of assault were unemployment (odds ratio, 4.5; 95% confidence interval, 2.7-6.4; p < 0.001), Spanish spoken at home (odds ratio, 6.6; 95% confidence interval, 3.4-9.8; p < 0.001) and poverty level (odds ratio, 1.9; 95% confidence interval, 1.1-2.7; p < 0.001). Education level of less than high school diploma, single parent households and race were not significant predictors.ConclusionGIS analysis of registry data can identify high-risk areas for youth violence and correlated social and structural determinants. Violence prevention efforts can be better targeted geographically and socioeconomically with better understanding of these risk factors.Level of evidencePrognostic/Epidemiological; Level III. |
| وصف الملف: | application/pdf |
| تدمد: | 2163-0763 2163-0755 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625e4942f123f9049f54697c9df2b08bTest https://doi.org/10.1097/ta.0000000000003609Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....625e4942f123f9049f54697c9df2b08b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21630763 21630755 |
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