A population-based study on the epidemiology of firearm-related injury in Nova Scotia

Epidemiology and factors associated with mortality among pediatric major trauma patients in Nova Scotia: A 17-year retrospective analysis

BACKGROUND

Major traumatic injury in the pediatric population requires further evaluation to improve patient outcomes. Relatively few Canadian studies have investigated pediatric trauma using population-based data. Our objectives were to describe the epidemiology of pediatric major trauma in Nova Scotia and identify factors associated with in-hospital mortality.

METHODS

Retrospective cohort study of pediatric major trauma patients (age <18 years) injured in Nova Scotia over a 17-year period (April 2001-March 2018). Data were collected from the Nova Scotia Trauma Registry. Characteristics were compared between patient subgroups using t-tests, chi-square analyses and Fisher's exact test. Temporal trends were evaluated using the Mann-Kendall test. Incidence and mortality rates were mapped using ArcGIS Pro. A multivariate logistic regression model was created to assess for factors associated with in-hospital mortality.

RESULTS

A total of 1258 injuries were observed over the 17-year study period. The incidence of pediatric major trauma was 41.7 per 100,000 person-years. Most patients were male (819/1258; 65.1 %) and resided in urban areas (764/1258; 60.7 %). Blunt trauma accounted for 86.2 % (1084/1258) of injuries, and motor vehicle collisions were the most common cause (448/1258; 35.6 %). Incidence and mortality rates were highest in the 15-17 year age group, with a trend towards increasing incidence among females (p = 0.011). Mortality was 17.2 % (217/1258) of patients; 10.9 % (137/1258) died pre-hospital. No trends were detected in mortality rates. The regression model showed increased odds of in-hospital mortality for every point increase in the ISS (OR 1.05; 95 % CI 1.02 to 1.09) and for every unit decrease in scene GCS (OR 0.63; 95 % CI 0.56-0.71). Rural patients were 2 times more likely to die in-hospital versus urban patients (OR 2.40; 95 % CI 1.01-5.69), and patients injured at home were 6 times more likely to die compared to those injured in other locations (OR 6.19; 95 % CI 1.01-38.11).

CONCLUSION

Pediatric trauma remains a major public health issue in Canada and beyond. Greater efforts are required to expand our understanding of trauma epidemiology and develop targeted injury prevention strategies, especially for rural inhabitants.

Firearm-Related Injuries and the US Opioid and Other Substance Use Epidemic: A Nationwide Evaluation of Emergency Department Encounters

INTRODUCTION

There has been a sharp climb in the Unites States' death rate among opioid and other substance abuse patients, as well as an increased prevalence in gun violence. We aimed to investigate the association between substance abuse and gun violence in a national sample of patients presenting to US emergency departments (EDs).

METHODS

We queried the 2018-2019 Nationwide Emergency Department Sample for patients ≥18 years with substance abuse disorders (opioid and other) using International Classification of Diseases, 10th Revision, Clinical Modification codes. Within this sample, we analyzed characteristics and outcomes of patients with firearm-related injuries. The primary outcome was mortality; secondary outcomes were ED charges and length of stay.

RESULTS

Among the 25.2 million substance use disorder (SUD) patients in our analysis, 35,306 (0.14%) had a firearm-related diagnosis. Compared to other SUD patients, firearm-SUD patients were younger (33.3 versus 44.7 years, P < 0.001), primarily male (88.6% versus 54.2%, P < 0.001), of lower-income status (0-25th percentile income: 56.4% versus 40.5%, P < 0.001), and more likely to be insured by Medicaid or self-pay (71.6% versus 53.2%, P < 0.001). Firearm-SUD patients had higher mortality (1.4% versus 0.4%, P < 0.001), longer lengths of stay (6.5 versus 4.9 days, P < 0.001), and higher ED charges ($9269 versus $5,164, P < 0.001). Firearm-SUD patients had a 60.3% rate of psychiatric diagnoses. Firearm-SUD patients had 5.5 times greater odds of mortality in adjusted analyses (adjusted odds ratio: 5.5, P < 0.001).

CONCLUSIONS

Opioid-substance abuse patients with firearm injuries have higher mortality rates and costs among these groups, with limited discharge to postacute care resources. All these factors together point to the urgent need for improved screening and treatment for this vulnerable group of patients.

Spatial Hotspots and Sociodemographic Profiles Associated With Traumatic Brain Injury in Nova Scotia

Traumatic brain injury (TBI) is a leading cause of death and disability, primarily caused by falls and motor vehicle collisions (MVCs). Although many TBIs are preventable, there is a notable lack of studies exploring the association of geographically defined TBI hotspots with social deprivation. Geographic information systems (GIS) can be used to identify at-risk neighborhoods (hotspots) for targeted interventions. This study aims to determine the spatial distribution of TBI by major causes and to explore the sociodemographic and economic characteristics of TBI hotspots and cold spots in Nova Scotia. Patient data for TBIs from 2003 to 2019 were obtained from the Nova Scotia Trauma Registry. Residential postal codes were geocoded and assigned to dissemination areas (DA). Area-based risk factors and deprivation status (residential instability [RI], economic dependency [ED], ethnocultural composition [EC], and situational vulnerability [SV]) from the national census data were linked to DAs. Spatial autocorrelation was assessed using Moran's I, and hotspot analysis was performed using Getis-Ord Gi* statistic. Differences in risk factors between hot and cold spots were evaluated using the Mann-Whitney U test for numerical variables and the χ2 test or Fisher's exact test for categorical variables. A total of 5394 TBI patients were eligible for inclusion in the study. The distribution of hotspots for falls exhibited no significant difference between urban and rural areas (p = 0.71). Conversely, hotspots related to violence were predominantly urban (p = 0.001), whereas hotspots for MVCs were mostly rural (p < 0.001). Distinct dimensions of deprivation were associated with falls, MVCs, and violent hotspots. Fall hotspots were significantly associated with areas characterized by higher RI (p < 0.001) and greater ethnocultural diversity (p < 0.001). Conversely, the same domains exhibited an inverse relationship with MVC hotspots; areas with low RI and ethnic homogeneity displayed a higher proportion of MVC hotspots. ED and SV exhibited a strong gradient with MVC hotspots; the most deprived quintiles displayed the highest proportion of MVC hotspots compared with cold spots (ED; p = 0.002, SV; p < 0.001). Areas with the highest levels of ethnocultural diversity were found to have a significantly higher proportion of violence-related hotspots than cold spots (p = 0.005). This study offers two significant contributions to spatial epidemiology. First, it demonstrates the distribution of TBI hotspots by major injury causes using the smallest available geographical unit. Second, we disentangle the various pathways through which deprivation impacts the risk of main mechanisms of TBI. These findings provide valuable insights for public health officials to design targeted injury prevention strategies in high-risk areas.