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Background Firearm injuries disproportionately affect young, male, non-White populations, causing substantial individual and societal burden. Annual costs for hospitalized firearm injuries have not been widely described, as most previous cost studies have focused on lifetime costs. We examined a nationally-representative database of hospitalizations in the US to estimate per-hospital and overall hospital costs for firearm injuries by intent, type of weapon, and payer source. Methods We conducted a retrospective cohort study of all firearm injury hospitalizations in the National Inpatient Sample from 2003 through 2013. The National Inpatient Sample, maintained by the Healthcare Utilization Project, is a stratified and weighted national sample of more than 20% of all hospitals. All admissions for firearm injuries were identified through Ecodes, yielding a weighted total of 336,785 for the study period. Average annual per-patient and overall hospital costs were estimated using generalized linear modelling, controlling for patient and hospital variables. Costs by intent, firearm type, and payer sources were estimated. Results Annually from 2003 through 2013, 30,617 hospital admissions were for firearm injuries, for an annual rate of 10.1 admissions per 100,000 US population. More than 80% of hospitalizations were among individuals aged 15–44, and rates were nine times higher for males than females and nearly ten times higher for the Black than the White population. More than 60% of admissions were for assaults, and 70% of the injuries that had a known firearm type were from handguns. The average annual admission cost was $622 million. The highest per-admission costs were for injuries from assault weapons ($32,237 per admission) and for legal intervention ($33,462 per admission), but the highest total costs were for unspecific firearm type ($373 million) and assaults ($389 million). A quarter of firearm injury hospitalizations were among the uninsured, yielding average annual total costs of $155 million. Conclusion Hospitals can project that government insurance will be the highest source for firearm injury reimbursement, and depending on healthcare access laws, that many of their firearm injury admissions will not be covered by insurance.

Adverse childhood experiences (ACEs) are related to short- and long-term negative physical and mental health consequences among children and adults. Studies of the last three decades on ACEs and traumatic stress have emphasized their impact and the importance of preventing and addressing trauma across all service systems utilizing universal systemic approaches. Current developments on the implementation of trauma informed care (TIC) in a variety of service systems call for the surveillance of trauma, resiliency, functional capacity, and health impact of ACEs. Despite such efforts in adult medical care, early identification of childhood trauma in children still remains a significant public health need. This article reviews childhood adversity and traumatic toxic stress, presents epidemiologic data on the prevalence of ACEs and their physical and mental health impacts, and discusses intervention modalities for prevention.

BackgroundFarming is a high risk occupation that predisposes workers to injury, but may also lead to barriers in reaching trauma care. Little is known about emergency and trauma care for patients with farm-related injuries. The purpose of this study was to determine whether severely injured farmers presenting to a statewide trauma system faced delays in reaching definitive care compared to other severely injured workers.MethodsA population-based observational study was performed using the Iowa State Trauma Registry from 2005 to 2011. The registry was used to identify a multiply imputed sample of severe occupational injuries. Time to definitive care for farm- and non-farm-related injuries was compared using Kaplan-Meier curves and an extended, stratified Cox model censoring at 4 h. An interaction with time was included in the Cox model to generate hazard ratios for each hour after injury.ResultsSeven-hundred forty-eight severe occupational injuries were identified; 21% of these were farm-related. The overall median time to definitive care was nearly an hour longer for farmers compared to other workers (2h46m vs. 1h48m, p < 0.05). When adjusted for confounders, farm status remained a significant predictor of delay in reaching definitive care, but only in the first hour after injury (HR = 0.44, 95%CI = 0.24–0.83).ConclusionsFarm-related injuries accounted for more than 1 of every 5 severe occupational injuries entered into the Iowa trauma system. We found that severely injured farmers had delays in reaching definitive trauma care, even when adjusted for confounding variables such as rurality. This effect was most pronounced in the first hour.

Background Racial/ethnic disparity has been documented in a wide variety of health outcomes, and environmental components are contributors. For example, food deserts have been tied to obesity rates. Pedestrian injuries are strongly tied to environmental factors, yet no studies have examined racial disparity in pedestrian injury rates. We examine a nationally-representative sample of pedestrian-related hospitalizations in the United States to identify differences in incidence, severity, and cost by race/ethnicity. Methods Patients with ICD diagnosis E-codes for pedestrian injuries were drawn from the United States Nationwide Inpatient Sample (2009–2016). Rates were calculated using the United States Census. Descriptive statistics and generalized linear regression were used to examine characteristics (age, sex, severity of illness, mortality rates, hospital admissions, length of stay, total costs) associated with hospitalizations for pedestrian injuries. Results The annual average of pedestrian-related deaths exceeded 5000 per year and hospitalizations exceeded 47,000 admissions per year. The burden of injury from pedestrian-related hospitalizations was higher among Black, Hispanic, and Multiracial/Other groups in terms of admission rates, costs per capita, proportion of children injured, and length of stay compared to Whites and Asian or Pacific Islander race/ethnicities. Compared to Whites, hospital admission rates were 1.92 (95% CI: 1.89–1.94) and 1.20 (95% CI: 1.19–1.21) times higher for Multiracial/Other and Blacks, respectively. Costs per capita ($USD) were $6.30, $4.14, and $3.22 for Multiracial/Others, Blacks, and Hispanics, compared to $2.88 and $2.32 for Whites and Asian or Pacific Islanders. Proportion of lengths of stay exceeding one week were larger for Blacks (26.4%), Hispanics (22.6%), Asian or Pacific Islanders (23.1%), and Multiracial/Other (24.1%), compared to Whites (18.6%). Extreme and major loss of function proportions were also highest among Black (34.5%) and lowest among Whites (30.2%). Conclusions Results from this study show racial disparities in pedestrian injury hospitalization rates and outcomes, particularly among Black, Hispanic, and Multiracial/Other race/ethnicity groups and support population and system-level approaches to prevention. Access to transportation is an indicator for health disparity, and these results indicate that access to safe transportation also shows inequity by race/ethnicity.

Wildland fires have significant ecologic and economic impact in the United States. Despite the number of firefighters involved in controlling them, little is known about the injuries that they sustain. We hypothesized that the mechanism of injury would predict injury characteristics and severity of fire-related injuries. We examined firefighter injuries reported to the US Department of the Interior from the years 2003 to 2007. Associations between the injury mechanism and the injury diagnosis and body part were assessed. A logistic regression model was used to evaluate the odds of disabling injury associated with mechanism of injury after controlling for demographic and temporal variables. A total of 1301 nonfatal injuries to wildland firefighters were reported during the 5-year period. Mechanism of injury was significantly associated with the type of injury and injured body part (P ≤ .001). The most common injury mechanism was slips/trips/falls followed by equipment/tools/machinery. Injuries from poisoning or environmental exposure were less likely to lead to severe injury than slips, trips, or falls (odds ratio, 0.45; 95% confidence interval, 0.21-0.95). Compared with injuries in the early and peak season, those in the late season had more than twice the odds of being severe (odds ratio, 2.24; 95% confidence interval, 1.23-4.10). This study contributes important knowledge for implementing evidence-based injury prevention programs, for planning emergency medical responses on fire incidents and for provoking further inquiry into occupational risk factors affecting this high-risk occupational group.

ObjectiveTo investigate national trends of SBS diagnosis codes and how trends varied among patient and hospital characteristics.MethodsWe examined possible SBS, confirmed SBS, and non-SBS abuse diagnosis codes among children age three and younger who were hospitalized for abuse between 1998 and 2014 using a secondary analysis of the National Inpatient Sample, the largest US all-payer inpatient care database (N = 66,854). A baseline category logit model was used based on a quasi-likelihood approach (QIC) with an independent working correlation structure.ResultsThe rate (per 100,000 census population of children age 3 and younger) of confirmed and possible SBS diagnosis codes was 5.4 (± 0.3) between 1998 and 2014, whereas the rate of non-SBS abuse was 19.6 (± 1.0). The rate of confirmed SBS diagnosis codes increased from 3.8 (± 0.3) in 1998 to 5.1 (± 0.9) in 2005, and decreased to 1.3 (± 0.2) in 2014. Possible SBS diagnosis codes were 0.6 (± 0.2) in 1998, increasing to 2.4 (± 0.4) in 2014. Confirmed SBS diagnosis codes have declined since 2002, while possible SBS diagnosis codes have increased. All abuse types were more frequent among infants, males, children from low-income homes, and urban teaching hospitals.ConclusionsWe investigated seventeen-year trends of SBS diagnosis codes among young children hospitalized for abuse. The discrepancy between trends in possible and confirmed SBS diagnosis codes suggests differences in norms for utilizing SBS diagnosis codes, which has implications for which hospital admissions are coded as AHT. Future research should investigate processes for using SBS diagnosis codes and whether all codes associated with abusive head injuries in young children are classified as AHT. Our findings also highlight the relativity defining and applying SBS diagnosis codes to children admitted to the hospital for shaking injuries. Medical professionals find utility in using SBS diagnosis codes, though may be more apt to apply codes related to possible SBS diagnosis codes in children presenting with abusive head injuries. Clarifying norms for SBS diagnosis codes and refining definitions for AHT diagnosis will ensure that young children presenting with, and coded for, abusive head injuries are included in overall counts of AHT based on secondary data of diagnosis codes. This baseline data, an essential component of child abuse surveillance, will enable ongoing efforts to track, prevent, and reduce child abuse.

Purpose Traumatic brain injury (TBI) occurs more frequently in low and middle-income countries (LMICs) than in high-income settings, yet data on health-related quality of life (HRQoL) from these regions remain scarce. This study assessed HRQoL outcomes in adult TBI patients in Armenia, Georgia, and Moldova. Methods Between March and September 2019, TBI data were collected using a standardized hospital-based registry in one trauma hospital per country. Demographics, injury characteristics, and symptoms were recorded; HRQoL was assessed at discharge using EQ-5D-5L. Results 386 patients were included, most with mild TBI (GCS 13–15). Falls (51%) and road traffic incidents (29.8%) were the leading causes, with males predominantly affected. HRQoL scores varied across countries, with higher values in Moldova and Armenia compared to Georgia. A significant negative correlation (r = − .201, p < .001) was observed between GCS and HRQoL, indicating that mild TBI patients did not always report higher HRQoL compared to those with more severe injuries. In multivariable regression, age, country, and concomitant injuries independently predicted lower EQ-5D index scores, while sex, GCS, and length of stay were not significant. Conclusion These findings highlight the need for post-injury HRQoL assessment and standardized hospital-based TBI registries to guide rehabilitation efforts in LMICs.

This paper presents a comprehensive solution for distance estimation of the following vehicle solely based on visual data from a low-resolution monocular camera. To this end, a pair of vehicles were instrumented with real-time kinematic (RTK) GPS, and the lead vehicle was equipped with custom devices that recorded video of the following vehicle. Forty trials were recorded with a sedan as the following vehicle, and then the procedure was repeated with a pickup truck in the following position. Vehicle detection was then conducted by employing a deep-learning-based framework on the video footage. Finally, the outputs of the detection were used for following distance estimation. In this study, three main methods for distance estimation were considered and compared: linear regression model, pinhole model, and artificial neural network (ANN). RTK GPS was used as the ground truth for distance estimation. The output of this study can contribute to the methodological base for further understanding of driver following behavior with a long-term goal of reducing rear-end collisions.

Growing evidence identifies adverse health effects for children who witness intimate partner violence at home. Research has also identified that women seeking elective pregnancy termination are at high risk for partner violence. However, little is known about the risk for violence exposure among the children of women seeking elective pregnancy termination. We conducted a cross-sectional study of 957 women seeking elective pregnancy termination at a large family planning clinic. All subjects completed a 10-minute, anonymous questionnaire administered by computer in a private room. Our main outcome was 12-month prevalence of physical and/or sexual violence by a current or former partner using the Abuse Assessment Screen instrument. The presence of children under the age of 18 living with the respondent was the main exposure variable. Women with children in the home had more than twice the odds of reporting physical and/or sexual IPV in the past year than women with no children, controlling for age (AOR: 2.23; 95% CI: 1.41-3.85). The increased odds of IPV among women with children as compared to women with no children was present across nearly all sociodemographic and lifestyle characteristics, and significantly higher for the youngest women (18-20 years). The highest odds for abuse occurred among women with children living at home, in a current relationship but not living with their current partner, and abused by a former partner (AOR = 10.9; 95% CI: 3.07-38.4). Nearly one of every 14 children identified in this study lived in a home with IPV. These findings support the development of IPV interventions that are family-centered, as well as the integration of trauma-informed care into healthcare settings. Healthcare visits for contraception and pregnancy termination may be ideal opportunities for implementation of screening and family violence interventions.