Agricultural Injury Surveillance Using a Regional Trauma Registry.

BACKGROUND: The burden of traumatic injury among workers in agriculture is substantial. Surveillance can inform injury prevention efforts to reduce farmworkers' risk. We posited that the regional trauma registry can provide surveillance for agricultural injury requiring trauma-center care. METHODS: The Northeast Texas regional trauma registry was queried for patients injured in agricultural settings during 2016-2019 occurring in the 23,580 square mile study area subdivided into 219 US Census Zip Code Tract Area (ZCTA). Population at risk was estimated from the 2017 Census of Agriculture. Kuldorff's SaTScan identified case hot spots. A multivariable, geographically weighted regression model was fit for cases/1000 workers. RESULTS: In total, 273 cases occurred, (mean 68 cases per year [95% confidence interval 55.1-80.9]) among 96 ZCTA. The mean injury rate was 3.9 (95% confidence interval 3.4-4.3) cases per 1000 farmworkers. Animals and farm machinery were the most common injury mechanisms, 52.0% and 20.9%, respectively. Trauma ZCTA demonstrated more farms (median 170 versus 95.5, P < 0.001), greater farm acreage (53,900 acres versus 32,800, P = 0.004), and higher median total product sales ($6.5 million versus $3.9 million, P < 0.001). Six hot spots were identified with relative risks from 2.85 to 5.31. The multivariable model of cases/1000 workers demonstrated significant associations with workers per ZCTA (a mean ß-coefficient of 0.004 with P values <0.05 in 145 of 219 [66.5%] ZCTA) and percent rural population (ß = -6.62, P values <0.05 in 76.1% of ZCTA). CONCLUSIONS: Regional trauma registry data, combined with census data and spatial analyses, can identify actionable geographic areas of high agriculture-related injury risk.

Elderly trauma associated with high-risk recreational activity: A population-based study, United States, 2010 through 2016.

BACKGROUND: Understanding trends in prevalence and etiology is critical to public health strategies for prevention and management of injury related to high-risk recreation in elderly Americans. METHODS: The National Emergency Department Sample from 2010 through 2016 was queried for patients with a principal diagnosis of trauma (ICD-9 codes 800.0-959.9) and who were 55 years and older. High-risk recreation was determined from e-codes a priori. Primary outcome measures were mortality and total hospital charges. RESULTS: Of the 29,491,352 patient cohort, 458,599 (1.56%) engaged in high-risk activity, including those age 85 and older. High-risk cases were younger (median age 61 vs 70) and majority male (71.87% vs 39.24%). The most frequent activities were pedal cycling (45.81%), motorcycling (29.08%), and off-road vehicles (9.13%). Brain injuries (8.82% vs 3.88%), rib/sternal fractures (13.35% vs 3.53%), and cardiopulmonary injury (5.25% vs 0.57%) were more common among high-risk cases. Mortality (0.75% vs 0.40%) and total median hospital charges ($3,360 vs $2,312) were also higher for high-risk admissions, where the odds of mortality increased exponentially per year of age (odds ratio, 1.06; 99.5% CI, 1.05-1.08). High-risk recreation was associated with more than $1 billion in total hospital charges and more than 100 deaths among elderly Americans per year. CONCLUSION: Morbidity, mortality, and resource utilization due to high-risk recreation extend into the ninth decade of life. The patterns of injury described here offer opportunities for targeted injury prevention education to minimize risk among this growing segment of the United States population.