Racial discrimination increases the risk for nonremitting posttraumatic stress disorder symptoms in traumatically injured Black individuals living in the United States.

Traumatic, life-threatening events are experienced commonly among the general U.S. population, yet Black individuals in the United States (i.e., Black Americans) exhibit higher prevalence rates of posttraumatic stress disorder (PTSD) and more severe symptoms than other populations. Although empirical research has noted a range of symptom patterns that follow traumatic injury, minimal work has examined the role of racial discrimination in relation to PTSD symptom trajectories. The current study assessed racial discrimination and PTSD symptom trajectories at 6 months postinjury across two separate samples of traumatically injured Black Americans (i.e. emergency department (ED)-discharged and hospitalized). Identified PTSD symptom trajectories largely reflect those previously reported (i.e., ED: nonremitting, moderate, remitting, and resilient; hospitalized: nonremitting, delayed, and resilient), although the resilient trajectory was less represented than expected given past research (ED: 55.8%, n = 62; hospitalized: 46.9%, n = 38). Finally, higher racial discrimination was associated with nonremitting, ED: relative risk ratio (RR) = 1.32, hospitalized: RR = 1.23; moderate, ED: RR = 1.18; and delayed, hospitalized: RR = 1.26, PTSD symptom trajectories. Overall, the current findings not only emphasize the inimical effects of racial discrimination but also demonstrate the unique ways in which race-related negative events can impact PTSD symptom levels and recovery across time.

A comparison of the psychometric properties of a person-administered vs. automated screening tool for posttraumatic stress disorder (PTSD) in traumatically injured patients.

BACKGROUND: The American College of Surgeons Committee on Trauma (ACS-CoT) mandated that trauma centers have mental health screening and referral protocols in place by 2023. This study compares the Injured Trauma Survivor Screen (ITSS) and the Automated Electronic Medical Record (EMR) Screen to assess their performance in predicting risk for posttraumatic stress disorder (PTSD) within the same sample of trauma patients to inform trauma centers' decision when selecting a tool to best fit their current clinical practice. METHODS: This was a secondary analysis of three prospective cohort studies of traumatically injured patients (N = 255). The ITSS and Automated EMR Screen were compared using receiver operating characteristic curves to predict risk of subsequent PTSD development. PTSD diagnosis at 6-month follow-up was assessed using the Clinician Administered PTSD Scale for DSM-5. RESULTS: Just over half the sample screened positive on the ITSS (57.7%), while 67.8% screened positive on the Automated EMR Screen. The area under the curve (AUC) for the two screens was not significantly different (ITSS AUC = 0.745 versus Automated EMR Screen AUC = 0.694, p = 0.21), similar performance in PTSD risk predication within the same general trauma population. The ITSS and Automated EMR Screen had similar sensitivities (86.5%, 89.2%), and specificities (52.5%, 40.9%) respectively at their recommended cut-off points. CONCLUSION: Both screens are psychometrically comparable. Therefore, trauma centers considering screening tools for PTSD risk to comply with the ACS-CoT 2023 mandate should consider their local resources and patient population. Regardless of screen selection, screening must be accompanied by a referral process to address the identified risk.

A Pilot Project of a Post Discharge Care Team for Firearm Injury Survivors Decreases Emergency Department Utilization, Hospital Readmission Days, and Cost.

BACKGROUND: Persons of low socioeconomic status are overrepresented in the firearm injury patient population and may experience challenges in accessing complex outpatient health systems. Consequently, outpatient care for these patients is plagued by poor follow-up and increased emergency department (ED) utilization. We developed a Post Discharge Care Team (PDCT) consisting of a dedicated trauma nurse navigator and medical social worker to bridge the gap between hospital discharge and outpatient care to improve recovery. METHODS: Adult firearm injury survivors admitted to the trauma service were randomized 1:1 to receive either PDCT services or standard of care (SOC) workflows. The PDCT nurse provided education and set expectations regarding injuries, wound care, and outpatient follow up. The PDCT social worker performed a comprehensive assessment to identify concerns including housing and financial instability, food insecurity, or transportation issues. The primary outcome was ED utilization, with secondary outcomes including readmissions and overall healthcare costs compared between groups. RESULTS: In the first six months of the study, a total of 44 patients were randomized to PDCT and 47 to SOC. There were 10 patients who visited the ED in the PDCT group compared to 16 in the SOC group (p = 0.23) for a total of 14 and 23 ED visits, respectively. There were 14 patients in the PDCT and 11 patients in the SOC groups who were readmitted (p = 0.31), but the PDCT group was readmitted for 27.9 fewer hospital days. After accounting for programmatic costs, the PDCT had a hospital savings of $34,542.71. CONCLUSION: A collaborative, specialized Post Discharge Care Team for firearm injury survivors consisting of a dedicated trauma nurse navigator and medical social worker decreased outpatient ED utilization, readmission days, and was cost effective. Trauma centers with high volumes of penetrating trauma should consider a similar model to improve outpatient care for firearm injury survivors. LEVEL OF EVIDENCE: Original Research, Quality Improvement, 2.

Improved follow-up care for gun violence survivors in the Trauma Quality of Life Clinic.

Background: Outpatient follow-up represents a crucial opportunity to re-engage with gun violence survivors (GVS) and to facilitate positive health outcomes. Current outpatient models for firearm-related injuries and trauma care are inconsistent and unstandardized across trauma centers. This project describes the patient population served by the multidisciplinary Trauma Quality of Life (TQoL) Clinic for GVS. Also of primary interest was the outpatient follow-up services used by patients prior to their clinic appointment. Subsequent referrals placed during Clinic, as well as rate of attendance, was a secondary aim. Methods: This was a descriptive retrospective analysis of a quality improvement project of the TQoL Clinic. Data were extracted from the electronic medical record and were supplemented with information from the trauma registry and the hospital-based violence intervention program database. Descriptive statistics characterized the patient population served. A Χ2 analysis was used to compare no-show rates for the TQoL Clinic against two historical cohorts of trauma clinic attendees. Results: Most attendees were young (M=32.0, SD=1.8, range=15-88 years), Black (80.1%), and male (82.0%). Of the 306 total TQoL Clinic attendees, 82.3% attended their initial scheduled appointment. Most non-attendee patients rescheduled their appointments (92.1%), and 89.5% attended the rescheduled appointment. TQoL Clinic demonstrated a significantly lower no-show rate than the traditional trauma clinic model, including after the implementation of the hospital's inpatient violence intervention program (χ2(2)=75.52, p<0.001). Conclusion: The TQoL Clinic has demonstrated improved outpatient follow-up to address the comprehensive needs of GVS. Trauma centers with high gunshot wound volume should consider the implementation of the multidisciplinary TQoL Clinic model to increase access to care and to continue partnership with violence intervention programs to address health outcomes in those most at risk of future morbidity and mortality. Level of evidence: Therapeutic/care management, level III.

The Dichotomy of Threat and Deprivation as Subtypes of Childhood Maltreatment: Differential Functional Connectivity Patterns of Threat and Reward Circuits in an Adult Trauma Sample.

BACKGROUND: Childhood maltreatment is associated with reduced activation of the nucleus accumbens, a central region in the reward network, and overactivity in the amygdala, a key region in threat processing. However, the long-lasting impact of these associations in the context of later-life stress is not well understood. The current study explored the association between childhood threat and deprivation and functional connectivity of threat and reward regions in an adult trauma sample. METHODS: Trauma survivors (N = 169; mean age [SD] = 32.2 [10.3] years; female = 55.6%) were recruited from a level I trauma center. Two weeks after injury, participants completed the Childhood Trauma Questionnaire (measuring experiences of threat and deprivation) and underwent resting-state functional magnetic resonance imaging. Seed-to-voxel analyses evaluated the effect of childhood threat and deprivation on amygdala and nucleus accumbens resting-state connectivity. RESULTS: Higher levels of threat were associated with increased connectivity between the right nucleus accumbens with temporal fusiform gyrus/parahippocampal gyrus and the left amygdala and the precuneus (false discovery rate-corrected p < .05). After controlling for posttraumatic symptoms 2 weeks posttrauma and lifetime trauma exposure, only the nucleus accumbens findings survived. There were no significant relationships between experiences of childhood deprivation and amygdala or nucleus accumbens connectivity. CONCLUSIONS: Experiences of threat are associated with increased nucleus accumbens and amygdala connectivity, which may reflect a preparedness to detect salient and visual stimuli. This may also reflect a propensity toward dysregulated reward processing. Overall, these results suggest that childhood threat may be contributing to aberrant neural baseline reward and threat sensitivity later in life in an adult trauma sample.

Experiences of racial discrimination and adverse gene expression among black individuals in a level 1 trauma center sample.

Up to 40 % of individuals who sustain traumatic injuries are at risk for posttraumatic stress disorder (PTSD) and the conditional risk for developing PTSD is even higher for Black individuals. Exposure to racial discrimination, including at both interpersonal and structural levels, helps explain this health inequity. Yet, the relationship between racial discrimination and biological processes in the context of traumatic injury has yet to be fully explored. The current study examined whether racial discrimination is associated with a cumulative measure of biological stress, the gene expression profile conserved transcriptional response to adversity (CTRA), in Black trauma survivors. Two-weeks (T1) and six-months (T2) post-injury, Black participants (N = 94) provided a blood specimen and completed assessments of lifetime racial discrimination and PTSD symptoms. Mixed effect linear models evaluated the relationship between change in CTRA gene expression and racial discrimination while adjusting for age, gender, body mass index (BMI), smoking history, heavy alcohol use history, and trauma-related variables (mechanism of injury, lifetime trauma). Results revealed that for individuals exposed to higher levels of lifetime racial discrimination, CTRA significantly increased between T1 and T2. Conversely, CTRA did not increase significantly over time in individuals exposed to lower levels of lifetime racial discrimination. Thus, racial discrimination appeared to lead to a more sensitized biological profile which was further amplified by the effects of a recent traumatic injury. These findings replicate and extend previous research elucidating the processes by which racial discrimination targets biological systems.

Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. RESULTS: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. CONCLUSION: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.

Neural processes of emotional conflict detection and prediction of posttraumatic stress disorder symptom clusters in traumatic injury survivors.

OBJECTIVE: Given the prevalence and significant burden of posttraumatic stress disorder (PTSD), identifying early predictors of symptom development following trauma is critical. PTSD is a heterogeneous disorder comprised of distinct symptom clusters-reexperiencing, avoidance, negative mood, and hyperarousal-that contribute to the broad range of possible symptom profiles. Affective and attentional regulation processes, such as emotional conflict detection, are impaired in individuals with PTSD; however, the neural mechanisms underlying these alterations and their predictive utility for the development of PTSD symptoms remain unclear. METHOD: Traumatic injury survivors (N = 49) without traumatic brain injury were recruited from the emergency department of an urban, Level-1 trauma center. Within 1 month of trauma exposure, participants completed a well-characterized emotional conflict task during a functional magnetic resonance imaging scan. Participants returned 6-month later for a clinical assessment of PTSD symptoms. Using a region-of-interest mask derived from whole-brain voxelwise analyses during emotional conflict detection (vs. no emotional conflict detection) we examined whether differential neural activity predicted 6-month PTSD symptom cluster severity. RESULTS: Greater activation of the right middle frontal gyrus during emotional conflict detection prospectively predicted lower PTSD avoidance symptom severity 6 months later (above and beyond the effects of self-reported baseline PTSD and depressive symptoms, previous traumatic life events, racial discrimination, age, sex, and injury severity). CONCLUSIONS: Neural processes of emotion conflict detection measured in the early aftermath of a potentially traumatic event are useful as predictors for the development of PTSD symptoms. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Suicide Data in Trauma Centers: Implications of Imprecision.

BACKGROUND: Trauma registries exist to provide data for evaluating the quality of care of trauma patients. These data facilitate research and can be used for outreach, planning, and improvement in trauma patient outcomes. However, the accuracy of registry data related to suicide has not been well studied. OBJECTIVE: This study sought to evaluate the accuracy of current trauma registry coding practices related to labeling injury as a suicide attempt among patients presenting to a Level I trauma center after self-inflicted injury. METHODS: We conducted a single-center, retrospective cohort analysis of a Level I trauma center trauma registry on all patients with self-inflicted injuries from 2011 to 2021. Manual chart review was used to identify cases wherein patients' injuries were categorized as suicidal despite the absence of suicidal intent. RESULTS: During this 11-year period, 537 patients were identified as having presented to the trauma center for traumatic self-inflicted injuries. Manual chart review revealed that 16% of these patients were incorrectly categorized as having attempted suicide despite their self-inflicted injury lacking suicidal intent (e.g., accidents, nonsuicidal self-harm). CONCLUSION: We found that 16% of trauma registry patients were overcategorized as having attempted suicide. Trauma registry data are an important source of information for activities related to injury prevention in trauma centers. Imprecise coding of self-inflicted injury may lead to poorly targeted programs and interventions due to incorrectly represented injury causes and patterns in trauma patient populations, including suicide prevention.

Trends in Adult Suicide Rates in Milwaukee County, Wisconsin, 2002 through 2020.

BACKGROUND: Monitoring suicide rates is an important public health strategy to inform prevention efforts. We describe rates of adult suicide in Milwaukee County, Wisconsin, over a 19-year period. METHODS: Data on all adult suicides from 2002 through 2020 (n = 981) were obtained from the Milwaukee County Medical Examiner's Office. Subpopulation rates were identified using the Wisconsin Interactive Statistics on Health System. RESULTS: Suicide rates increased significantly over the study period, with disproportionate increases among Black and Latinx residents. DISCUSSION: Expanded prevention efforts are needed to reverse this concerning trend. Further research should guide development of culturally relevant interventions, provide data for the equitable allocation of limited resources.

Psychiatric comorbidity in emergency general surgery patients: a prospective observational study.

Objectives: Annually, approximately 27 million individuals in the United States are admitted to hospitals for emergency general surgery (EGS). Approximately 50% develop postoperative complications and 22% require unplanned readmission within 90 days, highlighting a need to understand factors impacting well-being and recovery. Psychiatric comorbidity can impact medical treatment adherence, cost, and premature mortality risk. Despite the severity of illness in EGS, there is limited research on psychiatric comorbidity in EGS patients. Thus, the purpose of the current study was to characterize EGS patient mental health and to assess its relationship with pain, social support, and healthcare utilization (ie, length of stay, readmission). Methods: Adult EGS patients were screened for participation during hospitalization. Inclusion criteria included: (1) 18 years or older, (2) communicate fluently in English, and (3) assessed within 7 days of admission. Participants (n=95) completed assessment, which included a structured clinical diagnostic interview. Record review captured medical variables, including length of stay, discharge disposition, narcotic prescription, and 90-day readmission rates. Results: Ninety-five patients completed the assessment, and 31.6% met criteria for at least one current psychiatric diagnosis; 21.3% with a major depressive episode, 9.6% with a substance use disorder, and 7.5% with post-traumatic stress disorder (PTSD). Lower perceived social support and greater pain severity and interference were significantly related to more severe depression and anxiety. Depression was associated with longer length of stay, and those with PTSD were more likely to be re-admitted. Conclusion: The EGS patient sample exhibited psychiatric disorder rates greater than the general public, particularly regarding depression and anxiety. Screening protocols and incorporation of psychological and social interventions may assist in recovery following EGS. Level of evidence: Level II, prognostic.

Attributional negativity bias and acute stress disorder symptoms mediate the association between trauma history and future posttraumatic stress disorder.

Individuals who have experienced more trauma throughout their life have a heightened risk of developing posttraumatic stress disorder (PTSD) following injury. Although trauma history cannot be retroactively modified, identifying the mechanism(s) by which preinjury life events influence future PTSD symptoms may help clinicians mitigate the detrimental effects of past adversity. The current study proposed attributional negativity bias, the tendency to perceive stimuli/events as negative, as a potential intermediary in PTSD development. We hypothesized an association between trauma history and PTSD symptom severity following a new index trauma via heightened negativity bias and acute stress disorder (ASD) symptoms. Recent trauma survivors (N =189, 55.5% women, 58.7% African American/Black) completed assessments of ASD, negativity bias, and lifetime trauma 2-weeks postinjury; PTSD symptoms were assessed 6 months later. A parallel mediation model was tested with bootstrapping (10,000 resamples). Both negativity bias, Path b1 : ß = -.24, t(187) = -2.88, p = .004, and ASD symptoms, Path b2 : ß = .30, t(187) = 3.71, p < .001, fully mediated the association between trauma history and 6-month PTSD symptoms, full model: F(6, 182) = 10.95, p < .001, R 2 = .27; Path c': ß = .04, t(187) = 0.54, p = .587. These results suggest that negativity bias may reflect an individual cognitive difference that can be further activated by acute trauma. Moreover, negativity bias may be an important, modifiable treatment target, and interventions addressing both acute symptoms and negativity bias in the early posttrauma period may weaken the link between trauma history and new-onset PTSD.

History of Racial Discrimination by Police Contributes to Worse Physical and Emotional Quality of Life in Black Americans After Traumatic Injury.

BACKGROUND: Black Americans are more likely than their White counterparts to experience traumatic injury and worse functional outcomes. Unfair police treatment has been identified as one specific form of racial discrimination potentially driving these deleterious outcomes. The aim of the investigation was to better understand the relationship between experiences of discrimination by police and trauma-specific quality of life outcomes, including PTSD symptom severity, in Black Americans following traumatic injury. METHOD: Traumatically injured Black American adults (N = 53) presenting to a level 1 trauma center completed a measure of police and law enforcement discrimination at baseline, and quality of life and PTSD were assessed 6 months later. RESULTS: Stepwise regressions results showed more frequent discrimination by police and law enforcement significantly predicted lower emotional and physical well-being 6 months after injury. Further, more frequent police discrimination resulted in more severe PTSD symptoms by 6 months after injury. CONCLUSIONS: Findings underscore that following an injury not specifically related to discrimination by police, patients' historical, negative police experiences contributed to worse physical and emotional recovery in the present. These findings, in unison with prior investigations, reveal the need to consider patients' history of negative police experiences as a social determinant of health in their recovery.

Experiencing racial discrimination increases vulnerability to PTSD after trauma via peritraumatic dissociation.

Background: Racial discrimination is a traumatic stressor that increases the risk for posttraumatic stress disorder (PTSD), but mechanisms to explain this relationship remain unclear. Peritraumatic dissociation, the complex process of disorientation, depersonalization, and derealization during a trauma, has been a consistent predictor of PTSD. Experiences of frequent racial discrimination may increase the propensity for peritraumatic dissociation in the context of new traumatic experiences and contribute to PTSD symptoms. However, the role of peritraumatic dissociation in the relationship between experiences of discrimination and PTSD has not been specifically explored.Objective: The current study investigated the role of peritraumatic dissociation in the impact of racial discrimination on PTSD symptoms after a traumatic injury, and the moderating role of gender.Method: One hundred and thirteen Black/African American individuals were recruited from the Emergency Department at a Level I Trauma Center. Two weeks after the trauma, participants self-reported their experiences with racial discrimination and peritraumatic dissociation. At the six-month follow-up appointment, individuals underwent a clinical assessment of their PTSD symptoms.Results: Results of longitudinal mediation analyses showed that peritraumatic dissociation significantly mediated the effect of racial discrimination on PTSD symptoms, after controlling for age and lifetime trauma exposure. A secondary analysis was conducted to examine the moderating role of gender. Gender was not a significant moderator in the model.Conclusions: Findings show that racial discrimination functions as a stressor that impacts how individuals respond to other traumatic events. The novel results suggest a mechanism that explains the relationship between racial discrimination and PTSD symptoms. These findings highlight the need for community spaces where Black Americans can process racial trauma and reduce the propensity to detach from daily, painful realities. Results also show that clinical intervention post-trauma must consider Black Americans' experiences with racial discrimination.

Peritraumatic dissociation operates as a mechanism through which racial discrimination predicts posttraumatic symptoms in an adult trauma sample.Racial discrimination functions as a stressor that increases the risk for trauma-related symptoms.The lived experiences of Black Americans elicit the use of emotional detachment strategies that may mitigate effects of racial discrimination but increase the risk for peritraumatic dissociation.

Facets of emotion dysregulation differentially predict depression and PTSD symptom severity following traumatic injury.

Background: Emotion dysregulation is a hallmark characteristic of psychopathology following trauma. Yet, emotion dysregulation is multifaceted, and little is known about which aspects of emotion dysregulation predict depression and posttraumatic stress disorder (PTSD) symptom severity following traumatic injury.Objective: The aim of this longitudinal study was to evaluate how facets of dysregulation differentially predicted the severity of PTSD symptom clusters and depressive symptoms six months after a traumatic injury requiring medical treatment.Methods: Traumatically injured adults (N = 99) presenting to a Level 1 trauma centre completed a measure of emotion dysregulation 2 weeks post-injury, and PTSD and depression were assessed at 2-weeks and 6 months later.Results: Using stepwise regressions controlling for baseline symptoms, age, gender, race, and injury severity, results showed baseline emotion dysregulation significantly predicted the four symptom clusters of PTSD 6 months post-injury. Notably, hyperarousal symptoms and negative alterations in mood and cognition were predicted by a lack of clarity. On the other hand, depressive symptoms were significantly predicted by difficulty accessing emotion regulation strategies.Conclusion: Results highlight that specific facets of emotion dysregulation predict PTSD and depression symptom severity differentially after injury. Indeed, lack of emotional clarity appears to predict PTSD symptomatology, suggesting a potential mechanism driving worsening symptoms. Lack of clarity could also be detrimental to engagement in PTSD treatment. Conversely, lack of regulation strategies may represent a sense of helplessness in managing depression after trauma. As such, future research should elucidate whether interventions targeting aspects of emotion dysregulation based on symptom presentations are useful in treating PTSD and depression following injury.

Specific facets of emotion dysregulation are differentially associated with PTSD symptom clusters and depression symptom severity after injury.Findings suggest that targeting lack of emotional clarity may be critical for patients with prominent hyperarousal and trauma-related changes in mood and cognitions (i.e. two PTSD symptom clusters).Patients with depressive symptoms following trauma may especially benefit from the development of emotion regulation strategies.

Comprehensive Framework of Firearm Violence Survivor Care: A Review.

Importance: Firearm violence is a public health crisis placing significant burden on individuals, communities, and health care systems. After firearm injury, there is increased risk of poor health, disability, and psychopathology. The newest 2022 guidelines from the American College of Surgeons Committee on Trauma require that all trauma centers screen for risk of psychopathology and provide referral to intervention. Yet, implementing these guidelines in ways that are responsive to the unique needs of communities and specific patient populations, such as after firearm violence, is challenging. Observations: The current review highlights important considerations and presents a model for trauma centers to provide comprehensive care to survivors of firearm injury. This model highlights the need to enhance standard practice to provide patient-centered, trauma-informed care, as well as integrate inpatient and outpatient psychological services to address psychosocial needs. Further, incorporation of violence prevention programming better addresses firearm injury as a public health concern. Conclusions and Relevance: Using research to guide a framework for trauma centers in comprehensive care after firearm violence, we can prevent complications to physical and psychological recovery for this population. Health systems must acknowledge the socioecological context of firearm violence and provide more comprehensive care in the hospital and after discharge, to improve long-term recovery and serve as a means of tertiary prevention of firearm violence.

Mechanisms of traumatic injury by demographic characteristics: an 8-year review of temporal trends from the National Trauma Data Bank.

BACKGROUND/PURPOSE: This 8-year retrospective study of the National Trauma Data Bank describes temporal trends of traumatic injury by mechanism of injury (MOI) by demographic characteristics from 2012 to 2019 for adult patients 18 years and older. METHODS: Overall, 5 630 461 records were included after excluding those with missing demographic information and International Classification of Disease codes. MOIs were calculated as proportions of total injury by year. Temporal trends of MOI were evaluated using two-sided non-parametric Mann-Kendall trend tests for (1) all patients and (2) within racial and ethnic groups (ie, Asian, 2% of total patient sample; Black, 14%; Hispanic or Latino, 10%; Multiracial, 3%; Native American, <1%; Pacific Islander, <1%; White, 69%) and stratified by age and sex. RESULTS/OUTCOMES: For all patients, falls increased over time (p=0.001), whereas burn (p<0.01), cut/pierce (p<0.01), cyclist (p=0.01), machinery (p<0.001), motor vehicle transport (MVT) motorcyclist (p<0.001), MVT occupant (p<0.001) and other blunt trauma (p=0.03) injuries decreased over time. The proportion of falls increased across all racial and ethnic groups and significantly for those aged 65 and older. There were further differences in decreasing trends of MOI by racial and ethnic categories and by age groups. CONCLUSIONS: These results suggest that falls are an important injury prevention target with an ageing US population across all racial and ethnic groups. Differing injury profiles by racial and ethnic identity indicate that injury prevention efforts be designed accordingly and targeted specifically to individuals most at risk for specific MOIs. STUDY TYPE: Level I, prognostic/epidemiological.

Harmonizing PTSD severity scales across instruments and sites.

OBJECTIVE: The variety of instruments used to assess posttraumatic stress disorder (PTSD) allows for flexibility, but also creates challenges for data synthesis. The objective of this work was to use a multisite mega analysis to derive quantitative recommendations for equating scores across measures of PTSD severity. METHOD: Empirical Bayes harmonization and linear models were used to describe and mitigate site and covariate effects. Quadratic models for converting scores across PTSD assessments were constructed using bootstrapping and tested on hold out data. RESULTS: We aggregated 17 data sources and compiled an n = 5,634 sample of individuals who were assessed for PTSD symptoms. We confirmed our hypothesis that harmonization and covariate adjustments would significantly improve inference of scores across instruments. Harmonization significantly reduced cross-dataset variance (28%, p < .001), and models for converting scores across instruments were well fit (median R² = 0.985) with an average root mean squared error of 1.46 on sum scores. CONCLUSIONS: These methods allow PTSD symptom severity to be placed on multiple scales and offers interesting empirical perspectives on the role of harmonization in the behavioral sciences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Addressing the educational gap in the role of law enforcement personnel in the resuscitation bay.

BACKGROUND: Health care workers are often uncertain of the role of law enforcement personnel in the resuscitation bay. A cross-sectional, quality improvement project was designed with an educational intervention to address the knowledge gaps. METHODS: There were 2 sessions for trauma surgery and emergency medicine faculty, residents, and staff. The first was a formal presentation by hospital risk management and security focused on answering questions generated by real-life scenarios. After reviewing feedback from the first session, the second session was designed as a panel discussion led by attending physicians who reviewed various clinical scenarios. A pre/postsurvey was administered, including potential clinical scenarios with multiple-choice answers and open feedback. RESULTS: There were 64 presurvey and 31 postsurvey respondents from the first session (48.4%). Significantly more questions were answered correctly from pre to postsurvey (5.5 vs 6.7/16 questions; U = 798.0, P = .048). Of the 14 (45.2%) respondents who provided open-ended feedback, 50% indicated confusion, and 21.4% expressed strong, negative emotions. In the second session, there were 39 presurvey and 18 postsurvey respondents (46.2%). Again, significantly more questions were answered correctly after the second session (2.2 vs 4.5/7 questions; U = 115.0, P ≤ .001). Feedback highlighted that the panel format was considered more helpful than the formal didactic of the first session. CONCLUSION: Confusion about the role of law enforcement personnel in the clinical environment can be partially addressed using multidisciplinary joint conferences that should be led by clinicians to ensure real-life clinical applicability. Further education and law enforcement personnel role clarification for health care workers are critical to protect patient rights.