The development of a population-based automated screening procedure for PTSD in acutely injured hospitalized trauma survivors

Bedside mental health risk screening of traumatic injury patients is enhanced by measurement of injury mechanism and social support

BACKGROUND

The American College of Surgeons now requires mental health screening and follow up for hospitalized patients in trauma centers. National estimates indicate that 20-40 % of these patients will develop posttraumatic stress disorder (PTSD) and/or depression within one year post-injury. Research has identified brief bedside screens that predict PTSD and depression post-discharge, such as the Injured Trauma Survivor Screen and Peritraumatic Distress Inventory. However, false negatives are common; almost a quarter of patients with a negative bedside risk screen may develop PTSD or depression post-discharge and may not receive appropriate follow up. As such, there is critical need to improve bedside risk-screening tools. We aimed to identify demographic, social, and trauma-related predictors of mental health symptoms among patients with negative bedside screens.

METHOD

Patients were injury survivors served by a Level I trauma center who were identified as "low risk for development of PTSD/depression" by the Injured Trauma Survivor Screen. Patient injury type and demographics were collected from the medical record.

RESULTS

Violent injuries (e.g., gunshot wound) and lower levels of available social support predicted elevated PTSD symptoms 30-days post-injury. Lower social support also was associated with increased risk for depressive symptoms 30 days post-injury.

CONCLUSION

Findings suggest that risk-screening tools may be improved by including items that capture injury mechanism and social support. Alternatively, trauma centers should consider mental health referral for patients who have experienced violent trauma or have low levels of social support, even when bedside screening tools identify them as having low mental health risk.

Parent injury admission as a potential adverse childhood experience: A 25 US Level I Trauma center investigation

INTRODUCTION

Adverse Childhood Experiences (ACEs), such as violence exposure, are linked with numerous long-term health consequences. Adult firearm and other injury survivors presenting to level I trauma centers frequently report having youth family members exposed to firearm violence and other traumatic life events. Few investigations have examined the demographic and familial characteristics, or cumulative trauma burden of exposed family members.

METHODS

The investigation was a secondary analysis of data collected as part of a 25-site national US level I trauma center randomized clinical trial (N = 635). Baseline characteristics of firearm injury survivors (n = 128) versus all other injury survivors (n = 507) were compared, including number of children, pre-injury trauma history, and post-admission recurrent traumatic and stressful life events. Analyses were conducted on baseline characteristics of firearm injury survivors, including trauma history, and compared to non-firearm injury survivors. For injury survivors with children, mixed model regression was used to assess whether firearm injury was independently associated with an increased risk of childhood injury leading to hospitalization over the course of the year after the index parental injury admission.

RESULTS

There were few demographic and clinical differences between firearm and non-firearm injury survivors. Approximately 70% of adult injury survivors had at least one child. Over 10% of adult injury survivors had a child hospitalized in the year after the index admission; firearm injury survivors were no more likely than all other injury survivors to have a child hospitalized after the index admission. For injury survivors with children, mixed model regression analyses revealed a significant association between pre-injury childhood exposure to life-threating illness/injury and child injury hospitalization in the year after the index parental injury admission (Relative Risk = 1.92, 95% Confidence Interval = 1.08, 3.42).

CONCLUSIONS

Over 10% of adult injury survivors reported that their children were hospitalized for an injury in the year after an index injury admission. Prehospital childhood illness or injury admission was significantly associated with childhood injury hospitalization in the year after parental injury. Trauma centers could be harnessed as a public health point-of-contact for screening, intervention, and referral of ACEs, such as childhood injury.

Randomized clinical trial of peer integrated collaborative care intervention after physical injury

Objectives

The goal of the current study was to assess the effectiveness of a peer integrated collaborative care intervention for postinjury outcomes.

Methods

Injury survivors ≥18 years of age were screened for post-traumatic stress disorder (PTSD) symptoms and severe postinjury concerns; screen-positive patients were randomized to the intervention versus enhanced usual care control conditions. The collaborative care intervention included peer support and care management. The intervention also included evidence-based pharmacotherapy and psychotherapeutic elements targeting PTSD. The COVID-19 pandemic interrupted recruitment between March and June 2020; in response to the COVID-19 pandemic, the peer component of the intervention went from in-person to virtual delivery. The primary outcomes were PTSD symptoms assessed with the Diagnostic and Statistical Manual of Mental Disorders fourth edition PTSD checklist, any severe postinjury concerns, and emergency department/inpatient utilization followed over the 12 months postinjury. Secondary outcomes included patient satisfaction with emotional healthcare.

Results

A total of 450 patients were randomized to the intervention (n=225) and control (n=225) conditions; 124 patients (28%) were recruited and completed all study assessments prior to the onset of the COVID-19 pandemic, while 326 patients (72%) were recruited after and/or had one or more study follow-ups occur postpandemic onset. Mixed model regression revealed no statistically significant comparisons for any of the primary outcomes. In exploratory models that examined the impact of COVID-19, significantly improved PTSD symptoms were present at 3 months pre-COVID-19 relative to post-COVID-19. Intervention patients consistently demonstrated higher satisfaction with emotional aspects of healthcare (F(5,1652)=2.87, p=0.01).

Conclusions

The intervention demonstrated no significant improvements in primary outcomes in the intent-to-treat sample. The peer integrated collaborative care intervention contributed to higher patient satisfaction with the emotional aspects of healthcare.

Level of evidence

Level II, randomized clinical trial.

Trial registration number

NCT03569878.

Stepped collaborative care for pain and posttraumatic stress disorder after major trauma: a randomized controlled feasibility trial

PURPOSE

To examine feasibility and acceptability of providing stepped collaborative care case management targeting posttraumatic stress disorder (PTSD) and pain symptoms after major traumatic injury.

MATERIALS AND METHODS

Participants were major trauma survivors in Victoria, Australia, at risk of persistent pain or PTSD with high baseline symptoms. Participants were block-randomized, stratified by compensation-status, to the usual care (n = 15) or intervention (n = 17) group (46% of eligible patients). The intervention was adapted from existing stepped collaborative care interventions with input from interdisciplinary experts and people with lived experience in trauma and disability. The proactive case management intervention targeted PTSD and pain management for 6-months using motivational interviewing, cognitive behavioral therapy strategies, and collaborative care. Qualitative interviews explored intervention acceptability.

RESULTS

Intervention participants received a median of 7 h case manager contact and reported that they valued the supportive and non-judgmental listening, and timely access to effective strategies, resources, and treatments post-injury from the case manager. Participants reported few disadvantages from participation, and positive impacts on symptoms and recovery outcomes consistent with the reduction in PTSD and pain symptoms measured at 1-, 3- and 6-months.

CONCLUSIONS

Stepped collaborative care was low-cost, feasible, and acceptable to people at risk of PTSD or pain after major trauma.IMPLICATIONS FOR REHABILITATIONAfter hospitalization for injury, people can experience difficulty accessing timely support to manage posttraumatic stress, pain and other concerns.Stepped case management-based interventions that provide individualized support and collaborative care have reduced posttraumatic stress symptom severity for patients admitted to American trauma centers.We showed that this model of care could be adapted to target pain and mental health in the trauma system in Victoria, Australia.The intervention was low cost, acceptable and highly valued by most participants who perceived that it helped them use strategies to better manage post-traumatic symptoms, and to access clinicians and treatments relevant to their needs.

Development of a brief bedside tool to screen women sexual assault survivors for risk of persistent posttraumatic stress six months after sexual assault

This study aims to develop and validate a brief bedside tool to screen women survivors presenting for emergency care following sexual assault for risk of persistent elevated posttraumatic stress symptoms (PTSS) six months after assault. Participants were 547 cisgender women sexual assault survivors who presented to one of 13 sexual assault nurse examiner (SANE) programs for medical care within 72 h of a sexual assault and completed surveys one week and six months after the assault. Data on 222 potential predictors from the SANE visit and the week one survey spanning seven broadly-defined risk factor domains were candidates for inclusion in the screening tool. Elevated PTSS six months after assault were defined as PCL-5 > 38. LASSO logistic regression was applied to 20 randomly selected bootstrapped samples to evaluate variable importance. Logistic regression models comprised of the top 10, 20, and 30 candidate predictors were tested in 10 cross-validation samples drawn from 80% of the sample. The resulting instrument was validated in the remaining 20% of the sample. AUC of the finalized eight-item prediction tool was 0.77 and the Brier Score was 0.19. A raw score of 41 on the screener corresponds to a 70% risk of elevated PTSS at 6 months. Similar performance was observed for elevated PTSS at one year. This brief, eight-item risk stratification tool consists of easy-to-collect information and, if validated, may be useful for clinical trial enrichment and/or patient screening.

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.

Engaging and following physical injury survivors at risk for developing posttraumatic stress disorder symptoms: A 25 site US national study

INTRODUCTION

Early intervention for patients at risk for Posttraumatic Stress Disorder (PTSD) relies upon the ability to engage and follow trauma-exposed patients. Recent requirements by the American College of Surgeons Committee on Trauma (College) have mandated screening and referral for patients with high levels of risk for the development of PTSD or depression. Investigations that assess factors associated with engaging and following physically injured patients may be essential in assessing outcomes related to screening, intervention, and referral.

METHODS

This investigation was a secondary analysis of data collected as part of a United States level I trauma center site randomized clinical trial. All 635 patients were ages ≥18 and had high PTSD symptom levels (i.e., DSM-IV PTSD Checklist score ≥35) at the time of the baseline trauma center admission. Baseline technology use, demographic, and injury characteristics were collected for patients who were followed up with over the course of the year after physical injury. Regression analyses were used to assess the associations between technology use, demographic and injury characteristics, and the attainment of follow-up outcome assessments.

RESULTS

Thirty-one percent of participants were missing one or more 3-, 6- or 12-month follow-up outcome assessments. Increased risk of missing one or more outcome assessments was associated with younger age (18-30 versus ≥55 Relative Risks [RR] = 1.78, 95 % Confidence Interval [CI] = 1.09, 2.91), lack of cell phone (RR = 1.32, 95 % CI = 1.01, 1.72), no internet access (RR = 1.47, 95 % CI = 1.01, 2.16), public versus private insurance (RR = 1.47, 95 % CI = 1.12, 1.92), having no chronic medical comorbidities (≥4 versus none, RR = 0.28, 95 % CI = 0.20, 0.39), and worse pre-injury mental health function (RR = 0.99, 95 % CI = 0.98, 0.99).

CONCLUSIONS

This multisite investigation suggests that younger and publicly insured and/or uninsured patients with barriers to cell phone and internet access may be particularly vulnerable to lapses in trauma center follow-up. Clinical research informing trauma center-based screening, intervention, and referral procedures could productively explore strategies for patients at risk for not engaging and adhering to follow-up care and outcome assessments.

Can Baseline Patient Clinical and Demographic Characteristics Predict Response to Early Posttraumatic Stress Disorder Interventions After Physical Injury?

OBJECTIVE

A growing evidence base supports stepped care interventions for the early treatment of posttraumatic stress disorder (PTSD) after physical injury. Few investigations have examined the characteristics of patients who do and do not respond to these interventions.

METHOD

This investigation was a secondary analysis that used previously collected data from three randomized clinical trials of stepped care interventions (patient N = 498). The study hypothesized that a subgroup of patients would manifest persistent PTSD symptoms regardless of randomization to intervention or control conditions, and that characteristics present at the time of baseline injury hospitalization could distinguish patients who would develop persistent symptoms from potential treatment responders. Regression analyses identified baseline patient clinical and demographic characteristics that were associated with persistent PTSD symptoms over the 6-months post-injury. Additional analyses identified treatment attributes of intervention patients who were and were not likely to demonstrate persistent symptoms.

RESULTS

A substantial subgroup of patients (n = 222, 44.6%) demonstrated persistent PTSD symptoms over time. Greater numbers of pre-injury trauma, pre-injury PTSD symptoms, elevated early post-injury PTSD symptoms, unemployment, and non-White race identified patients with persistent symptoms. Patients with ≥3 of these baseline risk characteristics demonstrated diminished treatment responses when compared to patients with <3 characteristics. Intervention patients with ≥3 risk characteristics were less likely to engage in treatment and required greater amounts of interventionist time.

CONCLUSIONS

Injured trauma survivors have readily identifiable characteristics at the time of hospitalization that can distinguish responders to PTSD stepped care interventions versus patients who may be treatment refractory.

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.

Can stepped collaborative care interventions improve post-traumatic stress disorder symptoms for racial and ethnic minority injury survivors?

Objectives

No large-scale randomized clinical trial investigations have evaluated the potential differential effectiveness of early interventions for post-traumatic stress disorder (PTSD) among injured patients from racial and ethnic minority backgrounds. The current investigation assessed whether a stepped collaborative care intervention trial conducted at 25 level I trauma centers differentially improved PTSD symptoms for racial and ethnic minority injury survivors.

Methods

The investigation was a secondary analysis of a stepped wedge cluster randomized clinical trial. Patients endorsing high levels of distress on the PTSD Checklist (PCL-C) were randomized to enhanced usual care control or intervention conditions. Three hundred and fifty patients of the 635 randomized (55%) were from non-white and/or Hispanic backgrounds. The intervention included care management, cognitive behavioral therapy elements and, psychopharmacology addressing PTSD symptoms. The primary study outcome was PTSD symptoms assessed with the PCL-C at 3, 6, and 12 months postinjury. Mixed model regression analyses compared treatment effects for intervention and control group patients from non-white/Hispanic versus white/non-Hispanic backgrounds.

Results

The investigation attained between 75% and 80% 3-month to 12-month follow-up. The intervention, on average, required 122 min (SD=132 min). Mixed model regression analyses revealed significant changes in PCL-C scores for non-white/Hispanic intervention patients at 6 months (adjusted difference -3.72 (95% CI -7.33 to -0.10) Effect Size =0.25, p<0.05) after the injury event. No significant differences were observed for white/non-Hispanic patients at the 6-month time point (adjusted difference -1.29 (95% CI -4.89 to 2.31) ES=0.10, p=ns).

Conclusion

In this secondary analysis, a brief stepped collaborative care intervention was associated with greater 6-month reductions in PTSD symptoms for non-white/Hispanic patients when compared with white/non-Hispanic patients. If replicated, these findings could serve to inform future American College of Surgeon Committee on Trauma requirements for screening, intervention, and referral for PTSD and comorbidities.

Level of evidence

Level II, secondary analysis of randomized clinical trial data reporting a significant difference.

Trial registration number

NCT02655354.

Stepped collaborative care versus American College of Surgeons Committee on Trauma required screening and referral for posttraumatic stress disorder: Clinical trial protocol

BACKGROUND

Each year in the US, approximately 1.5-2.5 million individuals are so severely injured that they require inpatient hospital admissions. The American College of Surgeons Committee on Trauma (College) now requires that trauma centers have in place protocols to identify and refer hospitalized patients at risk injury psychological sequelae. Literature review revealed no investigations that have identified optimal screening, intervention, and referral procedures in the wake of the College requirement.

METHODS

The single-site pragmatic trial investigation will individually randomize 424 patients (212 intervention and 212 control) to a brief stepped care intervention versus College required mental health screening and referral control conditions. Blinded follow-up interviews at 1-, 3-, 6-, and 12-months post-injury will assess the symptoms of PTSD and related comorbidity for all patients. The emergency department information exchange (EDIE) will be used to capture population-level automated emergency department and inpatient utilization data for the intent-to-treat sample. The investigation aims to test the primary hypotheses that intervention patients will demonstrate significant reductions in PTSD symptoms and emergency department/inpatient utilization when compared to control patients. The study incorporates a Rapid Assessment Procedure-Informed Clinical Ethnography (RAPICE) implementation process assessment.

CONCLUSIONS

The overarching goal of the investigation is to advance the sustainable delivery of high-quality trauma center mental health screening, intervention, and referral procedures for diverse injury survivors. An end-of-study policy summit will harness pragmatic trial data to inform the capacity for US trauma centers to implement high-quality acute care mental health screening, intervention and referral services for diverse injured patient populations.

TRIAL REGISTRATION

Clinicaltrials.govNCT05632770.

Implementation of a stepped care program to address posttraumatic stress disorder and depression in a Level II trauma center

BACKGROUND

The Trauma Resilience and Recovery Program (TRRP) is a technology enhanced model of care that includes education, screening, and service referrals to address posttraumatic stress disorder and depression following traumatic injury. TRRP has shown high rates of engagement at a Level I trauma center, but Level II centers have fewer resources and face more challenges to addressing patients' mental health needs.

METHODS

We utilized clinical administrative data to examine engagement in TRRP in a Level II trauma center with 816 adult trauma activation patients.

RESULTS

Most patients (86%) enrolled in TRRP, but only 30% completed screens during a 30-day follow-up call. Three-quarters of patients who endorsed clinically significant symptoms accepted treatment recommendations/referrals.

CONCLUSIONS

Engagement at each step of the model was lower than previously reported in a Level I center. Differences likely correspond to lower rates of mental health symptoms in the trauma patients at this setting. We discuss program adaptations that may be needed to improve patient engagement.

Assessment of Traumatic Stress Symptoms During the Acute Posttrauma Period

A substantial majority of adults in the United States will experience a potentially traumatic event (PTE) in their lifetime. A considerable proportion of those individuals will go on to develop posttraumatic stress disorder (PTSD). Distinguishing between those who will develop PTSD and those who will recover, however, remains as a challenge to the field. Recent work has pointed to the increased potential of identifying individuals at greatest risk for PTSD through repeated assessment during the acute posttrauma period, the 30-day period after the PTE. Obtaining the necessary data during this period, however, has proven to be a challenge. Technological innovations such as personal mobile devices and wearable passive sensors have given the field new tools to capture nuanced in vivo changes indicative of recovery or nonrecovery. Despite their potential, there are numerous points for clinicians and research teams to consider when implementing these technologies into acute posttrauma care. The limitations of this work and considerations for future research in the use of technology during the acute posttrauma period are discussed.

Feasibility of Risk Factor-Based Screening for Posttraumatic Stress Disorder in Trauma

BACKGROUND

Posttraumatic stress disorder (PTSD) following traumatic injury can have severe psychiatric consequences. Current recommendations from the American College of Surgeons Committee on Trauma require implementing PTSD screening but specify neither who should be screened nor how. It is unknown whether narrowed screening selection criteria could identify an acceptable proportion of patients with PTSD.

OBJECTIVE

This study aimed to determine the feasibility of implementing risk factor-based PTSD screening in trauma patients by evaluating the sensitivity and clinical practicality.

METHODS

This is a prospective diagnostic study of a consecutive series of general ward patients at an urban Level I trauma center from December 2021 to March 2022. Screening indications included (a) interpersonal injury, (b) surgery, (c) intracranial hemorrhage, (d) less than 30 years of age, or (e) clinical suspicion. The protocol was assessed by measuring the proportion of positive screens captured by only clinical suspicion to estimate sensitivity and by qualitatively evaluating barriers to implementation.

RESULTS

Among the 200 patients screened, the number of patients who screened positive was 51 (25.5%). Eight patients were screened on clinical suspicion alone, seven (87.5%) of whom had positive screens, compared with 44 of the 192 (22.9%) patients who were screened for indications. Thus, 7 of 51 (13.7%; 95% confidence interval: 6.8%-26.7%) patients with PTSD-level symptoms would not have been screened on the basis of their risk factors. There were also practical difficulties in implementation.

CONCLUSION

Limiting PTSD screening to only those injured patients with additional risk factors would have reduced overall sensitivity at our center. Consequently, we have implemented universal screening instead.

Pre-Existing Anxiety and Depression in Injured Older Adults: An Under-Recognized Comorbidity With Major Health Implications

To compare differences in baseline depression and anxiety screenings between older injured patients with pre-existing diagnoses and those without.

Background

Little is known about the prevalence and impact of psychiatric comorbidities on early postinjury depression and anxiety in nonneurologically injured older adults.

Methods

This was a retrospective post-hoc analysis of data from the Trauma Medical Home, a multicenter randomized controlled trial (R01AG052493-01A1) that explored the effect of a collaborative care model on postinjury recovery for older adults compared to usual care.

Results

Nearly half of the patients screened positive for at least mild depressive symptoms as measured by the Patient Health Questionnaire-9. Forty-one percent of the patients screened positive for at least mild anxiety symptoms as measured by the Generalized Anxiety Disorder Scale. Female patients with a history of concurrent anxiety and depression, greater injury severity scores, and higher Charlson scores were more likely to have mild anxiety at baseline assessment. Patients with a history of depression only, a prior history of depression and concurrent anxiety, and higher Charlson scores (greater medical comorbidity) had greater odds of at least mild depression at the time of hospital discharge after traumatic injury.

Conclusions

Anxiety and depression are prevalent in the older adult trauma population, and affect women disproportionately. A dual diagnosis of depression and anxiety is particularly morbid. Mental illness must be considered and addressed with the same importance as other medical diagnoses in patients with injuries.

Prevalence and predictors of post-traumatic stress symptoms in 2200 hospitalised and non-hospitalised injured New Zealanders

OBJECTIVE

Post-traumatic stress disorder following injuries unrelated to mass casualty events has received little research attention in New Zealand. Internationally, most studies investigating predictors of post-injury post-traumatic stress disorder focus on hospitalised patients although most survivors are not hospitalised. We compared the prevalence and predictors of symptoms suggestive of post-traumatic stress disorder 12 months following injury among hospitalised and non-hospitalised entitlement claimants in New Zealand's Accident Compensation Corporation. This government-funded universal no-fault insurance scheme replaced tort-based compensation for injuries in 1974 since when civil litigation (which can bias post-traumatic stress disorder estimates) has been rare.

METHODS

A total of 2220 Accident Compensation Corporation claimants aged 18-64 years recruited to the Prospective Outcomes of Injury Study were interviewed at 12 months post-injury to identify symptoms suggestive of post-traumatic stress disorder using the Impact of Events Scale. Multivariable models examined the extent to which baseline sociodemographic, injury, health status and service interaction factors predicted the risk of post-traumatic stress disorder symptoms among hospitalised and non-hospitalised groups.

RESULTS

Symptoms suggestive of post-traumatic stress disorder were reported by 17% of hospitalised and 12% of non-hospitalised participants. Perceived threat to life at the time of the injury doubled this risk among hospitalised (adjusted relative risk: 2.0; 95% confidence interval: 1.2-3.2) and non-hospitalised (relative risk: 1.8; 95% confidence interval: 1.2-2.8) participants. Among hospitalised participants, other predictors included female gender, Pacific and 'other' minority ethnic groups, pre-injury depressive symptoms, financial insecurity and perceived inadequacies in healthcare interactions, specifically information and time to discuss problems. Among non-hospitalised survivors, predictors included smoking, hazardous drinking, assault and poor expectations of recovery.

CONCLUSION

One in six hospitalised and one in eight non-hospitalised people reported post-traumatic stress disorder symptoms 12 months following injury. Perceived threat to life was a strong predictor of this risk in both groups. Identifying early predictors of post-traumatic stress disorder, regardless of whether the injury required hospitalisation, could help target tailored interventions that can reduce longer-term psychosocial morbidity.

Post-traumatic stress disorder (PTSD) symptoms and alcohol and drug use comorbidity at 25 US level I trauma centers

Background

Questions regarding the extent to which post-traumatic stress disorder (PTSD) is comorbid with alcohol and drug use are particularly germane in an era when the American College of Surgeons Committee on Trauma (ACS-COT) is considering policy requiring screening, intervention and/or referral services for patients presenting with psychological sequalae of traumatic injury. Literature review revealed few multisite trauma-center-based investigations that have assessed the association between PTSD symptoms and alcohol and drug use comorbidities in injured patients.

Methods

This investigation was a secondary analysis of baseline data collected prior to randomization in a 25-site trauma center pragmatic clinical trial. All 635 patients included in the investigation had elevated PTSD symptom levels at the time of trauma center admission. Self-report questionnaire screening, laboratory toxicology results, and electronic health record data were combined to assess the frequencies of alcohol, stimulant (i.e., amphetamine and cocaine), opioid and marijuana use comorbidities for injured patients. Logistic regression was used to assess the associations between demographic and injury characteristics and alcohol and drug use comorbidity.

Results

The frequency of patients with one or more alcohol or substance use comorbidity was between 62% and 79%. Over 50% of patients were positive for one or more alcohol or cannabis comorbidity. Approximately 26% of patients were positive for stimulants and 10% for opioid comorbidity.

Discussion

This multisite investigation suggests that between 62% and 79% of hospitalized injury survivors with elevated PTSD symptoms have one or more alcohol or drug use comorbidity. Orchestrated ACS-COT policy and trauma center service delivery development should incorporate the key finding that a substantial majority of patients with high levels of psychological distress (eg, elevated PTSD symptoms) may have alcohol and drug use comorbidities.

Level of evidence

Level II (epidemiological investigation of untreated controls from a multisite randomized clinical trial)

Trial registration number

NCT02655354.

Life threat during assaultive trauma: Critical posttraumatic stress disorder risk factors for injured patients

BACKGROUND

Rates of posttraumatic stress disorder (PTSD) among injury survivors are higher relative to the general population, supporting the need to identify those most at risk for PTSD following injury given negative impact of PTSD on recovery. Perceived life threat and assaultive trauma are consistent risk factors for subsequent PTSD development, although less work has explored them in combination. The current study evaluated whether trauma type (assaultive vs. nonassaultive) and perceived life threat, together, led to greater PTSD symptoms 1 month and 6 months postinjury.

METHODS

Participants included adult injured trauma survivors admitted to a level 1 trauma center. While hospitalized, perceived life threat during trauma was assessed and mechanism of injury was collected via record review and was collapsed into two categories: assaultive and nonassaultive. The Clinician-Administered PTSD Scale (Diagnostic and Statistical Manual of Mental Disorders [Fifth Edition]) was administered at 1 month (N = 137) and 6 months (N = 220) after injury.

RESULTS

The four symptoms clusters of PTSD (intrusions, avoidance, hyperarousal, and negative mood/cognitions) were examined using four 2 (time) × 2 (life threat) × 2 (trauma type) mixed methods analyses of variance to assess differences based on risk factors and time. Results showed significant interaction effects of life threat, trauma type, and time for intrusive symptoms and avoidance symptoms. Individuals with life threat during assaultive traumas maintained heightened intrusive symptoms across time and increased avoidance at 6 months. On the other hand, participants with either life threat or assaultive traumas had decreased symptoms at 6 months.

CONCLUSION

Experiencing assaultive trauma and life threat led to greater symptoms of PTSD. Individuals with assaultive traumas who experienced life threat may represent a specific at-risk group following injury. Avoidance can protract functional impairment and impede access to care, negatively impacting recovery. This study highlights a need to assess for these peritrauma factors during hospitalization and supports early intervention targeting avoidance and intrusive symptoms in this group.

LEVEL OF EVIDENCE

Prognostic/Epidemiologic, Level IV.

Comparison of two screeners predicting the future development of depression and posttraumatic stress disorder in Black men after serious injury

Background To assess the predictive performance of two established, short clinical screeners in predicting the future development of post-injury depression and PTSD. Methods This was a prospective, cohort design with a 3-month follow-up. Black adult male trauma patients were enrolled at an urban, Level 1 trauma center. The Penn Richmond Screener and the Posttraumatic Adjustment Scale (PAS) were collected in-hospital. Participants were categorized as depressed using the Quick Inventory of Depressive Symptoms-Self Report and as positive for PTSD using the PTSD Check List - 5 (PCL-5) at 3-months post-discharge. Sensitivity, specificity, PPV and NPV of each screener were calculated. We used receiver operating curve (ROC) analyses to calculate the area under the curve (AUC) with 95% CI to assess predictive performance of each screener. Results A cohort of 623 hospitalized, injured Black men were enrolled during acute hospitalization. 503 participants (80.6%) were retained at 3-months and formed the analytic sample. Mean age was 36.8 years (SD 15.4), 53.1% of injuries were intentional; median injury severity score was 9. At 3 months, 35.3% had moderate to severe depression, 32.7% had significant PTSD symptoms, and 22.4% met criteria for both depression and PTSD. Penn Richmond Screener: sensitivity 0.68, specificity 0.56, and AUC 0.62 for PTSD, and sensitivity 0.64, specificity 0.63, and AUC 0.64 for depression. PAS: sensitivity 0.59, specificity 0.73, and AUC 0.66 for PTSD, and sensitivity 0.75, specificity 0.49, and AUC 0.62 for depression. Conclusions This study validated the performance of both screeners within the same population, allowing a direct comparison. Two predictive screeners, developed through different methods and in different countries, showed comparable predictive ability. These findings indicate that risk markers for adverse psychological consequences of traumatic injury share some core similarities across populations and countries.

Four Questions Nurses Can Ask to Predict PTSD 1 Year After a Motor Vehicle Crash

BACKGROUND

The role of nurses in screening for posttraumatic stress disorder is crucial in trauma units.

OBJECTIVES

To create and evaluate an easy and brief tool for nurses to predict chronic posttraumatic stress disorder 1 year after a motor vehicle crash.

METHODS

We performed a 1-year follow-up multicenter study from 2007 to 2015, including 274 patients injured in a motor vehicle crash who were hospitalized in an orthopedic trauma unit. Nurses administered the DEPITAC questionnaire. Posttraumatic stress disorder was measured by the Post-Traumatic Stress Disorder Checklist of symptoms during the first year following the crash. A multivariable logistic regression model was implemented to select items significantly associated with posttraumatic stress disorder to improve the DEPITAC questionnaire. Predictive performance to predict posttraumatic stress disorder 1 year after the motor vehicle crash was examined for these different models.

RESULTS

Of 274 patients studied, a total of 75.9% completed the questionnaire at 1 year of follow-up. We found that only two questions and two simple elements of the patient's medical record (other injury or a person dying during the crash, perception of vital threat, number of children, and length of stay in trauma) predicted posttraumatic stress disorder 1 year after a motor vehicle crash.

CONCLUSIONS

The brevity of this evaluation, simple scoring rules, and screening test performance suggest that this new screening tool can be easily administered in the acute care setting by nurses.

Diagnosing post-traumatic stress disorder using electronic medical record data

This study proposes a predictive model that uses structured data and unstructured narrative notes from Electronic Medical Records to accurately identify patients diagnosed with Post-Traumatic Stress Disorder (PTSD). We utilize data from primary care clinicians participating in the Manitoba Primary Care Research Network (MaPCReN) representing 154,118 patients. A reference sample of 195 patients that had their PTSD diagnosis confirmed using a manual chart review of structured data and narrative notes, and PTSD negative patients is used as the gold standard data for model training, validation and testing. We assess structured and unstructured data from eight tables in the MaPCReN namely, patient demographics, disease case, examinations, medication, billing records, health condition, risk factors, and encounter notes. Feature engineering is applied to convert data into proper representation for predictive modeling. We explore serial and parallel mixed data models that are trained on both structured and unstructured data to identify PTSD. Model performances were calculated based on a highly skewed hold-out test dataset. The serial model that uses both structured and text data as input, yielded the highest values in sensitivity (0.77), F-measure (0.76), and AUC (0.88) and the parallel model that uses both structured and text data as the input obtained the highest positive predicted value (PPV) (0.75). Diseases such as PTSD are difficult to diagnose. Information recorded in the chart note over multiple visits of the patients with the primary care physicians has higher predictive power than structured data and combining these two data types can increase the predictive capabilities of machine learning models in diagnosing PTSD. While the deep-learning model outperformed the traditional ensemble model in processing text data, the ensemble classifier obtained better results in ingesting a combination of features obtained from both data types in the serial mixed model. The study demonstrated that unstructured encounter notes enhance a model's ability to identify patients diagnosed with PTSD. These findings can enhance quality improvement, research, and disease surveillance related to PTSD in primary care populations.

An evaluation of the association between fault attribution and healthcare costs and trajectories in the first three years after transport injury

BACKGROUND

People with complex medical and psychosocial issues have high healthcare needs. This registry-based cohort study sought to quantify the association between external fault attribution, recorded during compensation claim lodgement, and the cost and patterns of healthcare utilisation.

METHODS

6,144 survivors of transport-related major trauma between 1 July 2010 and 30 June 2016 were extracted from the Victorian State Trauma Registry (VSTR) and linked to treatment payments from the Transport Accident Commission (TAC). Associations between fault and healthcare costs were examined with Generalised Linear Regression. Healthcare trajectories were identified using Group-Based Multi-Trajectory Modelling and included medical treatments from a physician, or pain, mental health and physical therapy treatments for the first three years post-injury. Trajectories were validated against the EQ-5D-3L health status summary score using mixed linear regression.

RESULTS

While injury severity had the strongest association with healthcare use, people who attributed fault to another had 9% higher healthcare costs. Six multi-trajectory groups were identified: 36% had low treatments over time; 25% had a rapid decline from high medical and physical therapy by 12-months; 12% had moderate to high medical and physical therapy that declined by 2-3 years; 11% had a gradual decline in medical treatment, an early increase in physical therapy but low pain and mental health treatment; 8% had high or increasing medical and physical therapy, moderate mental health therapy and low pain treatment; and 7% had moderate-high treatment across all domains. All groups had poorer health status compared with the group with low treatment levels, and people who attributed fault to another had higher risk of following trajectories with higher levels of treatment versus the low treatment group (beta=0.34, SE=0.12, p=0.01).

CONCLUSION

These findings highlight the need to provide pro-active multidisciplinary care coordination for people with complex needs after injury to better optimise recovery.

Racial Discrimination is Associated with Acute Posttraumatic Stress Symptoms and Predicts Future Posttraumatic Stress Disorder Symptom Severity in Trauma-Exposed Black Adults in the United States

In the United States, Black residents exposed to a traumatic event are at an increased risk of developing posttraumatic stress disorder (PTSD) and experiencing more severe symptoms compared to their non-Hispanic White counterparts. Although previous work has suggested a link between racial discrimination and PTSD symptoms, no studies have assessed this association in a sample of traumatic injury survivors. The current study investigated whether (a) past racial discrimination was associated with acute posttraumatic stress symptoms (PTSS) and (b) discrimination prospectively contributed to the prediction of future PTSD symptoms. African American and/or Black patients (N = 113) were recruited from an emergency department in southeastern Wisconsin. Patients in the acute postinjury phase (i.e., 2 weeks posttrauma) completed self-report measures, with PTSD symptoms assessed using the Clinician-Administered PTSD Scale at 6-month follow-up. Bivariate associations indicated past racial discrimination was significantly related to acute PTSS. A multiple regression analysis revealed that pretrauma exposure to racial discrimination significantly predicted PTSD symptoms at follow-up, even after controlling for age, gender, previous psychiatric diagnosis, social support, and lifetime trauma history. Our results suggest that experiences of racial discrimination add significant additional risk for PTSD symptom development following traumatic injury, R2 = .16, F(6, 106) = 3.25, p = .006. Broadly, these findings add to the body of empirical evidence and personal testimonies of Black individuals in White-centric societies asserting that racial discrimination affects mental health and overall well-being and further highlight the recent call for racism to be classified as a public health crisis.

A Prospective US National Trauma Center Study of Firearm Injury Survivors Weapon Carriage and Posttraumatic Stress Disorder Symptoms

OBJECTIVE

To describe the demographic, injury-related, and mental health characteristics of firearm injury patients and trace firearm weapon carriage and PTSD symptoms over the year after injury.

SUMMARY AND BACKGROUND DATA

Based on the increasing incidence of firearm injury and need for novel injury prevention strategies, hospital-based violence intervention programs are being implemented in US trauma centers. There is limited data on the long-term outcomes and risk behaviors of firearm injury survivors to guide this work.

METHODS

We conducted a secondary analysis of a pragmatic 25-trauma center randomized trial (N = 635). Baseline characteristics of firearm-injured patients (N = 128) were compared with other trauma patients. Mixed model regression was used to identify risk factors for postinjury firearm weapon carriage and PTSD symptoms.

RESULTS

Firearm injury patients were younger and more likely to be black, male and of lower socioeconomic status, and more likely to carry a firearm in the year before injury. Relative to preinjury, there was a significant drop in firearm weapon carriage at 3- and 6-months postinjury, followed by a return to preinjury levels at 12-months. Firearm injury was significantly and independently associated with an increased risk of postinjury firearm weapon carriage [relative risk = 2.08, 95% confidence interval (1.34, 3.22), P < 0.01] and higher PTSD symptom levels [Beta = 3.82, 95% confidence interval (1.29, 6.35), P < 0.01].

CONCLUSIONS

Firearm injury survivors are at risk for firearm carriage and high PTSD symptom levels postinjury. The significant decrease in the high-risk behavior of firearm weapon carriage at 3-6 months postinjury suggests that there is an important postinjury "teachable moment" that should be targeted with preventive interventions.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02655354.

Health status after penetrating major trauma in Victoria, Australia: a registry-based cohort study

PURPOSE

As few studies have examined long-term health after penetrating injury, this population-based registry study sought to assess health outcomes up to 24 months post-injury.

METHODS

Major trauma patients with penetrating trauma (2009-2017) were included from the Victorian State Trauma Registry (N = 1,067; 102 died, 208 were lost to follow-up). The EQ-5D-3L was used to measure health status at 6, 12 and 24-months. Mixed linear and logistic regressions were used to examine predictors of summary scores, and problems versus no problems on each health dimension.

RESULTS

Average health status summary scores were 0.70 (sd = 0.26) at 6 and 12 months, and 0.72 (sd = 0.26) at 24 months post-injury. Prevalence of problems was consistent over time: mobility (24-26%), self-care (17-20%), usual activities (47-50%), pain/discomfort (44-49%), and anxiety/depression (54-56%). Lower health status and reporting problems was associated with middle-older age, female sex, unemployment; pre-injury disability, comorbid conditions; and assault and firearm injury versus cutting/piercing.

CONCLUSION

Problems with usual activities, pain/discomfort and anxiety or depression are common after penetrating major trauma. Risk factor screening in hospital could be used to identify people at risk of poor health outcomes, and to link people at risk with services in hospital or early post-discharge to improve their longer-term health outcomes.

Stepped Collaborative Care Targeting Posttraumatic Stress Disorder Symptoms and Comorbidity for US Trauma Care Systems: A Randomized Clinical Trial

Importance

To date, few multisite investigations have evaluated early interventions for injured patients with posttraumatic stress disorder (PTSD) symptoms.

Objective

To simultaneously assess the effectiveness and implementation of a brief stepped collaborative care intervention targeting PTSD and comorbidity.

Design, Setting, and Participants

A stepped-wedge cluster randomized clinical trial was conducted at 25 US level I trauma centers. Participants included hospitalized survivors of physical injury who underwent a 2-step evaluation for PTSD symptoms. Patients reporting high levels of distress on the PTSD Checklist (PCL-C) were randomized (N = 635) per the stepped-wedge protocol to enhanced usual care control (n = 370) or intervention (n = 265) conditions. The study was conducted from January 4, 2016, through November 2018. Data analysis was performed from November 4, 2019, to December 8, 2020.

Interventions

The Trauma Survivors Outcomes and Support collaborative care intervention included proactive injury case management that assisted patients transitioning from hospital inpatient to outpatient and community settings. The intervention also integrated evidence-based pharmacotherapy and psychotherapeutic elements targeting PTSD symptoms and comorbidity.

Main Outcomes and Measures

The primary study outcome was PTSD symptoms assessed with the PCL-C at baseline in the surgical ward and at 3, 6, and 12 months postinjury. Secondary outcomes included depressive symptoms, alcohol use, and physical function. Subgroup analyses examined the effect of baseline risk factors for enduring PTSD and quality of protocol implementation on study outcomes. Primary statistical analyses were conducted using the intent-to-treat sample.

Results

A total of 327 men (51.5%) were included in analysis; mean (SD) age was 39.0 (14.2) years. The investigation attained follow-up of 75% to 80% of the participants at 3 to 12 months. The intervention lasted a mean (SD) of 122 (132) minutes. Mixed model regression analyses revealed statistically significant changes in PCL-C scores for intervention patients compared with control patients at 6 months (difference, -2.57; 95% CI, -5.12 to -0.03; effect size, 0.18; P < .05) but not 12 months (difference, -1.27; 95% CI, -4.26 to 1.73; effect size, 0.08; P = .35). Subgroup analyses revealed larger PTSD treatment effects for patients with 3 or more baseline risk factors for enduring PTSD and for patients, including firearm injury survivors, treated at trauma centers with good or excellent protocol implementation. Intervention effects for secondary outcomes did not attain statistical significance.

Conclusions and Relevance

A brief stepped collaborative care intervention was associated with significant 6-month but not 12-month PTSD symptom reductions. Greater baseline PTSD risk and good or excellent trauma center protocol implementation were associated with larger PTSD treatment effects. Orchestrated efforts targeting policy and funding should systematically incorporate the study findings into national trauma center requirements and verification criteria.

Trial Registration

ClinicalTrials.gov Identifier: NCT02655354.

Validation of the Injured Trauma Survivor Screen: An American Association for the Surgery of Trauma multi-institutional trial

BACKGROUND

Psychological distress is common following a traumatic injury event. The Injured Trauma Survivor Screen (ITSS) was developed at a level 1 trauma center to assess for posttraumatic stress disorder (PTSD) and major depressive episode (MDE) following admission for a traumatic injury. The ITSS sensitivity and specificity were analyzed 1 to 3 and 6 to 9 months postinjury to test the validity across trauma centers.

METHOD

Four level 1 trauma centers from the East, Midwest, South, and West in the United States recruited 375 eligible adult inpatients (excluded participants included those with moderate or severe traumatic brain injury, whose injury was self-inflicted, were noncommunicative, or were non-English speaking). Baseline sample (White/Caucasian, 63.2%; male, 62.4%; mean (SD) age, 45 (17.11) years; injured by motor vehicle collision, 42.4%) measurements were conducted during index hospitalization. At first follow-up, 69.6% (n = 261) were retained; at second follow-up, 61.3% (n = 230) were retained. Measurements included the ITSS, PTSD Checklist for DSM-5, Center for Epidemiologic Studies Depression Scale-Revised, and Clinician-Administered PTSD Scaled for DSM 5.

RESULTS

At follow-up 1, the ITSS PTSD subscale had a sensitivity of 75% and specificity of 78.8%, and the MDE subscale had a sensitivity of 80.4% and specificity of 65.6%. At follow-up 2, the PTSD subscale had a sensitivity of 72.7% and specificity of 83.1%, and the MDE subscale had a sensitivity of 76.1% and specificity of 68.3%. A combined risk group using two symptom based measures administered at baseline produced increased specificity.

CONCLUSION

The nine-item ITSS continues to be an efficient and effective risk screen for PTSD and MDE following traumatic injury requiring hospitalization. This multi-institutional validation study creates a solid foundation for further exploration of the generalizability of this screen's psychometric properties in distinct populations.

LEVEL OF EVIDENCE

Prognostic study, level III.

Leveraging a health information exchange to examine the accuracy of self-report emergency department utilization data among hospitalized injury survivors

Background

Accurate acute care medical utilization history is an important outcome for clinicians and investigators concerned with improving trauma center care. The objective of this study was to examine the accuracy of self-report emergency department (ED) utilization compared with utilization obtained from the Emergency Department Information Exchange (EDIE) in admitted trauma surgery patients with comorbid mental health and substance use problems.

Methods

This is a retrospective cohort study of 169 injured patients admitted to the University of Washington’s Harborview Level I Trauma Center. Patients had high levels of post-traumatic stress disorder and depressive symptoms, suicidal ideation and alcohol comorbidity. The investigation used EDIE, a novel health technology tool that collects information at the time a patient checks into any ED in Washington and other US states. Patterns of EDIE-documented visits were described, and the accuracy of injured patients’ self-report visits was compared with EDIE-recorded visits during the course of the 12 months prior to the index trauma center admission.

Results

Overall, 45% of the sample (n=76) inaccurately recalled their ED visits during the past year, with 36 participants (21%) reporting less ED visits than EDIE indicated and 40 (24%) reporting more ED visits than EDIE indicated. Patients with histories of alcohol use problems and major psychiatric illness were more likely to either under-report or over-report ED health service use.

Discussion

Nearly half of all patients were unable to accurately recall ED visits in the previous 12 months compared with EDIE, with almost one-quarter of patients demonstrating high levels of disagreement. The improved accuracy and ease of use when compared with self-report make EDIE an important tool for both clinical and pragmatic trial longitudinal outcome assessments. Orchestrated investigative and policy efforts could further examine the benefits of introducing EDIE and other information exchanges into routine acute care clinical workflows.

Level of evidence

II/III.

Trial registration number

ClinicalTrials.gov NCT02274688.

Post-Traumatic Stress Disorder in Adult and Pediatric Trauma Populations: A Literature Review

Each year, traumatic injuries affect 2.6 million adults in the United States leading to significant health problems. Although many sequelae stem directly from physical manifestations of one's sustained injuries, mental health may also be affected in the form of post-traumatic stress disorder (PTSD). PTSD can lead to decreased physical recovery, social functioning, and quality of life. Several screening tools such as the Injured Trauma Survivor Screen, PTSD CheckList, Primary Care PTSD, and Clinician-Administered PTSD Scale for DSM-5 have been used for initial PTSD screening of the trauma patient. Early screening is important as it serves as the first step in delivering the appropriate mental health care to those in need. Factors that increase the likelihood of developing PTSD include younger age, nonwhite ethnicity, and lower socioeconomic status. Current data on male or female predominance of PTSD in trauma populations is inconsistent. Cognitive behavioral therapy, hypnosis, and psychoeducation have been used to treat symptoms of PTSD. This review discusses the impact PTSD has on the trauma patient and the need for universal screening in this susceptible population. Ultimately, trauma centers should implement such universal screening protocols as to avoid absence, or undertreatment of PTSD, both of which having longstanding consequences.

Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice

BACKGROUND

The impact of precision psychiatry for clinical practice has not been systematically appraised. This study aims to provide a comprehensive review of validated prediction models to estimate the individual risk of being affected with a condition (diagnostic), developing outcomes (prognostic), or responding to treatments (predictive) in mental disorders.

METHODS

PRISMA/RIGHT/CHARMS-compliant systematic review of the Web of Science, Cochrane Central Register of Reviews, and Ovid/PsycINFO databases from inception until July 21, 2019 (PROSPERO CRD42019155713) to identify diagnostic/prognostic/predictive prediction studies that reported individualized estimates in psychiatry and that were internally or externally validated or implemented. Random effect meta-regression analyses addressed the impact of several factors on the accuracy of prediction models.

FINDINGS

Literature search identified 584 prediction modeling studies, of which 89 were included. 10.4% of the total studies included prediction models internally validated (n = 61), 4.6% models externally validated (n = 27), and 0.2% (n = 1) models considered for implementation. Across validated prediction modeling studies (n = 88), 18.2% were diagnostic, 68.2% prognostic, and 13.6% predictive. The most frequently investigated condition was psychosis (36.4%), and the most frequently employed predictors clinical (69.5%). Unimodal compared to multimodal models (β = .29, P = .03) and diagnostic compared to prognostic (β = .84, p < .0001) and predictive (β = .87, P = .002) models were associated with increased accuracy.

INTERPRETATION

To date, several validated prediction models are available to support the diagnosis and prognosis of psychiatric conditions, in particular, psychosis, or to predict treatment response. Advancements of knowledge are limited by the lack of implementation research in real-world clinical practice. A new generation of implementation research is required to address this translational gap.

An open trial of the RECONNECT exercise program for NSW Police Officers with posttraumatic stress disorder or psychological injury

OBJECTIVE

Posttraumatic stress disorder (PTSD) and psychological injuries are debilitating health problems facing police officers. There is increasing interest in the role of exercise as an intervention. We aimed to determine the preliminary effectiveness of the RECONNECT exercise program for NSW Police Officers experiencing PTSD or psychological injury.

METHODS

An open trial was conducted between 2016 and 2017 across three NSW sites. RECONNECT consisted of twice weekly, supervised exercise sessions for three months. Outcomes were assessed at baseline, week 6 and week 12 (intervention completion) and included PTSD symptoms, depression, anxiety and stress, insomnia severity and alcohol use. Data were analysed using linear mixed models.

RESULTS

In total, n = 60 Officers were consecutively referred to the program (35% female, mean age 42.0 ± 8.9 years). The majority had a clinical diagnosis of PTSD (n = 48, 80%). A clinically significant reduction in PTSD (Cohen's d = 0.96), depression (d = 0.71), anxiety (d = 0.55) and stress (d = 0.69) symptoms was found from baseline to week 12. Drop-out and lost to follow-up was high. Higher baseline PTSD severity was associated with an increased likelihood to complete postintervention assessment.

CONCLUSIONS

RECONNECT appears to be effective in reducing symptoms of PTSD. Exercise may be an effective component of PTSD treatment.

Identification of risk for posttraumatic stress disorder symptom clusters early after trauma

The current study examined how the injured trauma survivor screen (ITSS), a hospital-administered screener of posttraumatic stress disorder (PTSD) and depression, differentially predicted PTSD symptom cluster severity. Participants from a Level 1 trauma center (n = 220) completed the ITSS while inpatient and PTSD symptoms were assessed one-month post discharge. Perceived life threat and intentionality of injury were key predictors of avoidance, re-experiencing, and hyperarousal symptom clusters. However, negative alterations in mood and cognition cluster seemed best predicted by mood and cognitive risk factors. Therefore, the ITSS provides utility in differentially predicting symptom clusters and treatment planning after traumatic injury.

Investigation of optimal dose of early intervention to prevent posttraumatic stress disorder: A multiarm randomized trial of one and three sessions of modified prolonged exposure

BACKGROUND

Posttraumatic stress disorder (PTSD) is linked to a specific event, providing the opportunity to intervene in the immediate aftermath of trauma to prevent the development of this disorder. A previous trial demonstrated that trauma survivors who received three sessions of modified prolonged exposure therapy demonstrated decreased PTSD and depression prospectively compared to assessment only. The present study investigated the optimal dosing of this early intervention to test one versus three sessions of exposure therapy in the immediate aftermath of trauma.

METHODS

Participants (n = 95) recruited from a Level 1 Trauma Center were randomly assigned in a 1.5:1.5:1 ratio in a parallel-group design to the three conditions: one-session exposure therapy, three-session exposure therapy, and assessment only. Follow-up assessments were conducted by study assessors blind to study condition.

RESULTS

Mixed-effects model results found no significant differences in PTSD or depression symptoms between the control condition and those who received one or three exposure therapy sessions across 1-12-month follow-up assessment. Results indicate that the intervention did not interfere with natural recovery. Receiver operating characteristic curve analyses on the screening measure used for study inclusion (Predicting PTSD Questionnaire; PPQ) in the larger sample from which the treatment sample was drawn (n = 481) found that the PPQ was a poor predictor of likely PTSD at all follow-up time points (Area under the curve's = 0.55-0.62).

CONCLUSIONS

This likely impacted study results as many participants demonstrated natural recovery. Recommendations for future early intervention research are reviewed, including strategies to identify more accurately those at risk for PTSD and oversampling more severe trauma types.

A comparative effectiveness trial of an information technology enhanced peer-integrated collaborative care intervention versus enhanced usual care for US trauma care systems: Clinical study protocol

Annually approximately 2-3 million Americans are so severely injured that they require inpatient hospitalization. The study team, which includes patients, clinical researchers, front-line provider and policy maker stakeholders, has been working together for over a decade to develop interventions that target improvements for US trauma care systems nationally. This pragmatic randomized trial compares a multidisciplinary team collaborative care intervention that integrates front-line trauma center staff with peer interventionists, versus trauma team notification of patient emotional distress with mental health consultation as enhanced usual care. The peer-integrated collaborative care intervention will be supported by a novel emergency department exchange health information technology platform. A total of 424 patients will be randomized to peer-integrated collaborative care (n = 212) and surgical team notification (n = 212) conditions. The study hypothesizes that patient's randomized to peer integrated collaborative care intervention will demonstrate significant reductions in emergency department health service utilization, severity of patient concerns, post traumatic stress disorder symptoms, and physical limitations when compared to surgical team notification. These four primary outcomes will be followed-up at 1- 3-, 6-, 9- and 12-months after injury for all patients. The Rapid Assessment Procedure Informed Clinical Ethnography (RAPICE) method will be used to assess implementation processes. Data from the primary outcome analysis and implementation process assessment will be used to inform an end-of-study policy summit with the American College of Surgeons Committee on Trauma. The policy summit will facilitate acute care practice changes related to patient-centered care transitions over the course of a single 5-year funding cycle. Trial registration: (Clinicaltrials.govNCT03569878).

A Pragmatic Approach to Psychometric Comparisons between the DSM-IV and DSM-5 Posttraumatic Stress Disorder (PTSD) Checklists in Acutely Injured Trauma Patients

Objective: Prior investigations suggest the relative equivalence of the DSM-IV and DSM-5 versions of the Posttraumatic Stress Disorders (PTSD) Checklist, yet no investigations have assessed the psychometric properties of the scales in pragmatic trials of acutely injured trauma survivors. Method: DSM-IV and DSM-5 versions of the PTSD Checklist were included in follow-up interviews of physically injured patients enrolled longitudinally in a pragmatic clinical trial; pragmatic trials aim to efficiently implement research procedures to inform healthcare system policy changes. Psychometric comparisons of the DSM-IV, DSM-5, and a 20-item blended version of the scale included evaluations of internal consistency, correlational assessments, evaluation of item level agreements, and estimation of DSM-5 cutoffs that optimize electronic health record screening protocols. Results: 128 patients were included in the pragmatic psychometric study. Cronbach's alphas for the 3 versions of the PTSD Checklist ranged from 0.93 to 0.95. Correlations between the 3 scales ranged from 0.79 to 0.99. All 3 measures demonstrated excellent convergent and discriminant properties. Item level agreement ranged from 70-80%. For the DSM-5 and blended versions of the scale, a score of 30 and 24, respectively, best approximated the DSM-IV cutoff of ≥35 that had previously optimized PTSD detection in conjunction with EHR screening. Conclusions: Among injured trauma survivors, the psychometric performance of the DSM-IV PTSD Checklist with the addition of the 4 new DSM-5 PTSD Checklist items is nearly equivalent to the DSM-5 PTSD Checklist. The investigation also suggests that pragmatic psychometric methods can catalyze the rapid translation of research findings into real-world practice settings.

Experiences and Insights from the Early US COVID-19 Epicenter: A Rapid Assessment Procedure Informed Clinical Ethnography Case Series

OBJECTIVE

The Coronavirus disease (COVID-19) outbreak has evolved into a pandemic crisis, with King County in Washington State emerging as the early US epicenter. A literature review revealed few reports providing front-line clinical and research teams guidance related to multilevel, rapidly evolving COVID-19 directives.

METHOD

The Rapid Assessment Procedure Informed Clinical Ethnography (RAPICE) method was used to develop a clinical case series and conduct participant observation during an ongoing comparative effectiveness trial of peer-integrated, patient-centered interventions after traumatic injury. Participants were patients enrolled in the intervention arm of the ongoing trial, as well as front-line clinicians, patient peer interventionists, and clinical research team members implementing the trial. All participants were exposed to the Washington State COVID-19 outbreak.

RESULTS

Primary and secondary COVID-19 prevention strategies were feasibly integrated into ongoing care coordination and behavioral interventions for at-risk patients. Beyond the compilation of case studies, as an iterative method, RAPICE data collection naturalistically evolved to include observations of intervention team activity occurring within the larger pandemic epicenter context. A daily clinical research team huddle that flexibly accommodated virtual participation was also feasibly implemented.

CONCLUSIONS

Primary and secondary COVID-19 prevention strategies can be feasibly integrated into ongoing clinical interventions during the pandemic. Routine, proactive clinical and research team communication that transparently addresses ethical tensions and health-sustaining activities may promote well-being for providers grappling with rapidly evolving pandemic directives. Proactive assessments of individual provider vulnerabilities for severe COVID-19 related respiratory illness may also be a crucial element of the health care system pandemic responses.

Early Screening for Posttraumatic Stress Disorder and Depression Among Injured Emergency Department Patients: A Feasibility Study

BACKGROUND

Despite the risk of developing posttraumatic stress disorder (PTSD) and associated comorbidities after physical injury, few emergency departments (EDs) in the United States screen for the presence of psychological symptoms and conditions. Barriers to systematic screening could be overcome by using a tool that is both comprehensive and brief. This study aimed to determine 1) the feasibility of screening for posttraumatic sequelae among adults with minor injury in the ED and 2) the relationship between ED screening and later psychological symptoms and poor quality of life (QOL) at 6 weeks postinjury.

METHODS

In the EDs of two Level I trauma centers, we enrolled injured patients (n = 149) who reported serious injury and/or life threat in the past 24 hours. Subjects completed the Posttraumatic Adjustment Scale (PAS) to screen for PTSD and depression in the ED, and 6 weeks later they completed assessments for symptoms of PTSD, depression, and trauma-specific QOL (T-QoL).

RESULTS

Our retained sample at 6 weeks was 84 adults (51.2% male; mean ± SD age = 33 ± 11.88 years); 38% screened positive for PTSD, and 76% screened positive for depression in the ED. Controlling for age, hospital admission, and ED pain score, regression analyses revealed that a positive ED screen for both PTSD and depression was significantly associated with 6 weeks PTSD (p = 0.027, 95% confidence interval [CI] = 0.92 to 15.14) and depressive symptoms (p = 0.001, 95% CI = 2.20 to 7.74), respectively. Further, a positive ED screen for depression (p = 0.043, 95% CI = -16.66 to -0.27) and PTSD (p = 0.015, 95% CI = -20.35 to -2.24) was significantly associated with lower T-QoL.

CONCLUSIONS

These results suggest that it is feasible to identify patients at risk for postinjury sequelae in the ED; screening for mental health risk may identify patients in need of early intervention and further monitoring.

Pain, Anxiety, and Depression in the First Two Years Following Transport-Related Major Trauma: A Population-Based, Prospective Registry Cohort Study

Objectives

This study aimed to characterize the population prevalence of pain and mental health problems postinjury and to identify risk factors that could improve service delivery to optimize recovery of at-risk patients.

Methods

This population-based registry cohort study included 5,350 adult survivors of transport-related major trauma injuries from the Victorian State Trauma Registry. Outcome profiles were generated separately for pain and mental health outcomes using the “pain or discomfort” and “anxiety or depression” items of the EuroQol Five Dimensions Three-Level questionnaire at six, 12, and 24 months postinjury. Profiles were “resilient” (no problems at every follow-up), “recovered” (problems at six- and/or 12-month follow-up that later resolved), “worsening” (problems at 12 and/or 24 months after no problems at six and/or 12 months), and “persistent” (problems at every follow-up).

Results

Most participants had persistent (pain/discomfort, N = 2,171, 39.7%; anxiety/depression, N = 1,428, 26.2%) and resilient profiles (pain/discomfort, N = 1,220, 22.3%; anxiety/depression, N = 2,055, 37.7%), followed by recovered (pain/discomfort, N = 1,116, 20.4%; anxiety/depression, N = 1,025, 18.8%) and worsening profiles (pain/discomfort, N = 956, 17.5%; anxiety/depression, N = 948, 17.4%). Adjusted multinomial logistic regressions showed increased risk of problems (persistent, worsening, or resolved) vs no problems (resilient) in relation to female sex, middle age, neighborhood disadvantage, pre-injury unemployment, pre-injury disability, and spinal cord injury. People living in rural areas, motorcyclists, pedal cyclists, and people with head, chest, and abdominal injuries had lower risk of problems.

Discussion

Targeted interventions delivered to people with the risk factors identified may help to attenuate the severity and impact of pain and mental health problems after transport injury.

Screening and treating hospitalized trauma survivors for posttraumatic stress disorder and depression

Traumatic injury affects over 2.6 million U.S. adults annually and elevates risk for a number of negative health consequences. This includes substantial psychological harm, the most prominent being posttraumatic stress disorder (PTSD), with approximately 21% of traumatic injury survivors developing the disorder within the first year after injury. Posttraumatic stress disorder is associated with deficits in physical recovery, social functioning, and quality of life. Depression is diagnosed in approximately 6% in the year after injury and is also a predictor of poor quality of life. The American College of Surgeons Committee on Trauma suggests screening for and treatment of PTSD and depression, reflecting a growing awareness of the critical need to address patients' mental health needs after trauma. While some trauma centers have implemented screening and treatment or referral for treatment programs, the majority are evaluating how to best address this recommendation, and no standard approach for screening and treatment currently exists. Further, guidelines are not yet available with respect to resources that may be used to effectively screen and treat these disorders in trauma survivors, as well as who is going to bear the costs. The purpose of this review is: (1) to evaluate the current state of the literature regarding evidence-based screens for PTSD and depression in the hospitalized trauma patient and (2) summarize the literature to date regarding the treatments that have empirical support in treating PTSD and depression acutely after injury. This review also includes structural and funding information regarding existing postinjury mental health programs. Screening of injured patients and timely intervention to prevent or treat PTSD and depression could substantially improve health outcomes and improve quality of life for this high-risk population. LEVEL OF EVIDENCE: Review, level IV.

Racial Disparities in Outpatient Mental Health Service Use Among Children Hospitalized for Traumatic Brain Injury

OBJECTIVE

To examine racial differences in mental health service utilization after hospitalization for traumatic brain injury (TBI) among children with Medicaid insurance.

DESIGN AND MAIN MEASURES

Retrospective analysis of the MarketScan Multi-State Medicaid database from 2007 to 2012 was performed. Outpatient mental health service utilization (psychiatric and psychological individual and group services) was compared at TBI hospitalization, from discharge to 3 months and from 4 to 12 months after discharge, between children of non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic, and "Other" racial groups. Multivariable mixed-effects Poisson regression models with robust standard errors were utilized.

RESULTS

A total of 5674 children (aged <21 years) were included in the study. There were no differences by race/ethnicity in mental health service utilization during hospitalization. At 3 months postdischarge, NHB children and children in the "Other" racial category were significantly less likely to receive outpatient mental health services than NHW children (NHB relative risk [RR] = 0.84; 95% confidence interval [CI], 0.72-0.98; Other RR = 0.72; 95% CI, 0.57-0.90). At 12 months, all racial minority children were significantly less likely to receive outpatient mental health services than NHW children (NHB RR = 0.84; 95% CI, 0.75-0.94; Hispanic RR = 0.72; 95% CI, 0.55-0.94; Other RR = 0.71; 95% CI, 0.60-0.84).

CONCLUSIONS

Racial disparities in utilization of outpatient mental health services exist for minority children hospitalized for TBI and insured by Medicaid. Future research should focus on improving transitions of care from inpatient to outpatient services for these children.

Test Accuracy of the Screening Tool for Early Predictors of Post-traumatic Stress Disorder for Post-injury Mental Health in a Managed-Medicaid Population

OBJECTIVE

To determine the Screening Tool for Early Predictors of Post-Traumatic Stress Disorder (STEPP) test accuracy in identifying children with new mental health diagnoses and psychotropic medications prescribed within 12 months after unintentional injuries in a managed-Medicaid population.

STUDY DESIGN

We conducted a secondary analysis of a retrospective cohort that investigated mental health diagnoses and psychotropic medications pre- and post-injury in children ≤18 years of age treated at a pediatric trauma center from 2005 to 2015 (n = 2208). For this study, we analyzed children with STEPP scores from their injury admission (n = 85). For children without previous mental health diagnoses or psychotropic prescriptions, we calculated the sensitivity, specificity, and positive and negative predictive values for the child and parent STEPP.

RESULTS

Of 78 children without previous diagnoses, 12 had post-injury mental health diagnoses. Of 68 children without previous psychotropic medication use, 10 had psychotropic medications prescribed. The child STEPP sensitivity was 8.3% for mental health diagnoses (95% CI 0.2, 38.5) and 10% for psychotropic medications (95% CI 0.3, 44.5). The child STEPP specificity was 77.3% for mental health diagnoses (95% CI 65.3, 86.7) and 75.9% for psychotropic medication (95% CI 62.8, 86.1).

CONCLUSIONS

We found that the STEPP performed poorly in identifying children who received new mental health diagnoses and new psychotropic medications following injury.

Identification of biopSychoSocial factors predictive of post-traUmatic stress disorder in patients admitted to the Emergency department after a trauma (ISSUE): protocol for a multicenter prospective study

BACKGROUND

Traumatic exposure is a frequent issue in patients visiting emergency departments (EDs). Some patients will subsequently develop post-traumatic stress disorder (PTSD) while other will not. The problem is under-diagnosed in EDs and no standardized management is provided to prevent PTSD. Most studies focused on a particular group of trauma whereas we need a global approach to further develop interventions for detecting and treating patients at high risk. We aim to assess the prevalence of traumatic exposure and situation at high risk of further PTSD and identify pre and peri-traumatic biopsychosocial factors predisposing individuals to PTSD in the general context of EDs.

METHODS

This comprehensive multicenter study will have two steps. The first step will be a cross-sectional study on moderate and high risk of PTSD prevalence among EDs visitors with a recent history of trauma. All patients aged 18-70 years, presenting with a recent history of trauma (< 1 month) in one of the six EDs in the Auvergne-Rhône-Alpes region (≈1/10° of the French population) will be included over a 1-month period and approximately 1500 subjects are expected in this cross-sectional step. The risk of PTSD will be assessed using the Impact of Event Scale Revised (IES-R). Self-administered questionnaires will be used to measure acute stress (IES-R), and a number of potential bio-psycho-social risk factors. Demographic and physical health-related data will be collected from medical file. Second step will be a prospective cohort study within a sub-sample of 400 patients enrolled in step 1, randomly selected with stratification on sex, age, ED, and IES-R score. At 3 months, PTSD will be defined by a ≥ 33 score at PTSD Check List for DSM-5 (PCL-5) through a telephone interview. We will evaluate definite PTSD biopsychosocial predictive factors using a multivariate logistic regression model and describe evolution of PTSD at 3 months.

DISCUSSION

This is the first study to assess PTSD predictors prospectively with a biopsychosocial approach within a cohort representative of EDs visitors. The results will inform the development of dedicated interventions to decrease the risk of subsequent PTSD.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT03615014 ; ISSUE protocol 2nd version was approved on 07/08/2018.

Six-month follow-up of the injured trauma survivor screen: Clinical implications and future directions

BACKGROUND

The injured trauma survivor screen (ITSS) has been shown to predict posttraumatic stress disorder (PTSD) and depression risk at 1 month after traumatic injury. This study explored the ability of the ITSS to predict chronic distress after injury, as well as the impact of combining the ITSS with an additional screening measure.

METHODS

Patients were enrolled following admission to a Level I trauma center. Baseline measurements were collected during initial hospitalization, and follow-up measures were collected an average of 6.5 months after injury. Receiver operating characteristic (ROC) curve analyses were run to determine predictive accuracy, controlling for participants who had mental health intervention and for those who experienced additional potentially psychologically traumatic events since their injury event.

RESULTS

Utilizing a cut score of 2, the ITSS PTSD scale had a sensitivity of 85.42%, specificity of 67.35%, negative predictive value (NPV) of 91.9% and positive predictive value (PPV) of 51.4%. The combined PTSD risk group (risk positive on the baseline ITSS and the PTSD checklist for the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition) had a sensitivity of 72.92%, specificity of 81.63%, NPV of 88.2%, and PPV of 61.6%. Also using a cut score of 2, the ITSS Depression Scale had a sensitivity of 72.50%, specificity of 70.29%, NPV of 91.1%, and PPV of 37.9%.

CONCLUSION

The nine-item ITSS, which takes approximately 5 minutes to administer, is a stable screening tool for predicting those most at risk for PTSD and/or depression 6 months after admission to a Level I trauma center following traumatic injury. The combined PTSD risk group data provide evidence that symptom evaluation by a psychologist can improve specificity. These results further inform the recommendation of the American College of Surgeons Committee on Trauma regarding PTSD and depression screening in trauma centers.

LEVEL OF EVIDENCE

Prognostic study, level III.

Intrusive memories of trauma: A target for research bridging cognitive science and its clinical application

Intrusive memories of a traumatic event can be distressing and disruptive, and comprise a core clinical feature of post-traumatic stress disorder (PTSD). Intrusive memories involve mental imagery-based impressions that intrude into mind involuntarily, and are emotional. Here we consider how recent advances in cognitive science have fueled our understanding of the development and possible treatment of intrusive memories of trauma. We conducted a systematic literature search in PubMed, selecting articles published from 2008 to 2018 that used the terms "trauma" AND ("intrusive memories" OR "involuntary memories") in their abstract or title. First, we discuss studies that investigated internal (neural, hormonal, psychophysiological, and cognitive) processes that contribute to intrusive memory development. Second, we discuss studies that targeted these processes using behavioural/pharmacological interventions to reduce intrusive memories. Third, we consider possible clinical implications of this work and highlight some emerging research avenues for treatment and prevention, supplemented by new data to examine some unanswered questions. In conclusion, we raise the possibility that intrusive memories comprise an alternative, possibly more focused, target in translational research endeavours, rather than only targeting overall symptoms of disorders such as PTSD. If so, relatively simple approaches could help to address the need for easy-to-deliver, widely-scalable trauma interventions.

Detecting PTSD in a traumatically injured population: The diagnostic utility of the PTSD Checklist for DSM-5

BACKGROUND

The posttraumatic stress disorder (PTSD) Checklist for DSM-5 (PCL-5) is among few validated measures of PTSD severity in line with the DSM-5. Validation efforts among veteran samples have recommended cut scores of 33 and 38 to indicate PTSD; cut scores vary across populations depending on factors such as trauma type. The purpose of this study was to evaluate the diagnostic utility of and identify optimal cut scores for the PCL-5 in relation to the gold standard Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) among traumatically injured individuals 6 months after discharge from a level I trauma center.

METHODS

A total of 251 participants completed the PCL-5 and CAPS-5 6 months after discharge from a level I trauma center following traumatic injury. Receiver operating characteristic curve analyses detailed diagnostic accuracy of the PCL-5 and identified the optimal cut score via Youden's J index. Cut scores were also broken down by intentional versus nonintentional injury.

RESULTS

The PCL-5 produces satisfactory diagnostic accuracy, with adequate sensitivity and specificity, in a traumatically injured population. Estimates indicate the optimal cut score as >30; the optimal cut score for intentional injuries was >34 and >22 for nonintentional injuries.

CONCLUSIONS

This investigation provides support for the PCL-5 in detection of PTSD among injured individuals 6 months after discharge from a level I trauma center. PCL-5 specificity and sensitivity suggest clinicians working with this population can feel confident in using this measure over more onerous structured interviews (e.g., CAPS-5). This study signifies a move toward ensuring those experiencing mental health difficulties after traumatic injury are identified and connected to resources.

Early risk factors for depression, anxiety and post-traumatic distress after hospital admission for unintentional injury: Multicentre cohort study

OBJECTIVE

To quantify psychological morbidity and identify baseline factors associated with depression, anxiety and post-traumatic distress symptoms up to 12 months post-injury.

METHODS

Multicentre cohort study of 668 adults, aged 16 to 70, admitted to 4 UK NHS hospital trusts. Data on injury, socio-demographic characteristics and health status was collected at recruitment. Depression, anxiety and post-traumatic distress were measured at 1, 2, 4 and 12 months post-injury. Multilevel linear regression assessed associations between patient and injury characteristics and psychological outcomes over 12 months follow-up.

RESULTS

Depression, anxiety and post-traumatic distress scores were highest 1 month post-injury, and remained above baseline at 2, 4 and 12 months post-injury. Moderate or severe injuries, previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age (45-64 years), greater deprivation and lower pre-injury quality of life (QoL) were associated with higher depression scores post-injury. Previous psychiatric diagnoses, higher pre-injury depression and anxiety scores, middle age, greater deprivation and lower pre-injury QoL were associated with higher anxiety scores post-injury. Traffic injuries or injuries from being struck by objects, multiple injures (≥3), being female, previous psychiatric diagnoses, higher pre-injury anxiety scores and greater deprivation were associated with higher post-traumatic distress scores post-injury.

CONCLUSION

A range of risk factors, identifiable shortly after injury, are associated with psychological morbidity occurring up to 12 months post-injury in a general trauma population. Further research is required to explore the utility of these, and other risk factors in predicting psychological morbidity on an individual patient basis.

e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD)

Background: New technologies may profoundly change our way of understanding psychiatric disorders including posttraumatic stress disorder (PTSD). Imaging and biomarkers, along with technological and medical informatics developments, might provide an answer regarding at-risk patient's identification. Recent advances in the concept of 'digital phenotype', which refers to the capture of characteristics of a psychiatric disorder by computerized measurement tools, is one paradigmatic example. Objective: The impact of the new technologies on health professionals practice in PTSD care remains to be determined. The recent evolutions could disrupt the clinical practices and practitioners in their beliefs, ethics and representations, going as far as questioning their professional culture. In the present paper, we conducted an extensive search to highlight the articles which reflect the potential of these new technologies. Method: We conducted an overview by querying PubMed database with the terms [PTSD] [Posttraumatic stress disorder] AND [Computer] OR [Computerized] OR [Mobile] OR [Automatic] OR [Automated] OR [Machine learning] OR [Sensor] OR [Heart rate variability] OR [HRV] OR [actigraphy] OR [actimetry] OR [digital] OR [motion] OR [temperature] OR [virtual reality]. Results: We summarized the synthesized literature in two categories: prediction and assessment (including diagnostic, screening and monitoring). Two independent reviewers screened, extracted data and quality appraised the sources. Results were synthesized narratively. Conclusions: This overview shows that many studies are underway allowing researchers to start building a PTSD digital phenotype using passive data obtained by biometric sensors. Active data obtained from Ecological Momentary Assessment (EMA) could allow clinicians to assess PTSD patients. The place of connected objects, Artificial Intelligence and remote monitoring of patients with psychiatric pathology remains to be defined. These tools must be explained and adapted to the different profiles of physicians and patients. The involvement of patients, caregivers and health professionals is essential to the design and evaluation of these new tools.

Patient-Centered Care Transitions After Injury Hospitalization: A Comparative Effectiveness Trial

OBJECTIVE

The investigation aimed to compare two approaches to the delivery of care for hospitalized injury survivors, a patient-centered care transition intervention versus enhanced usual care.

METHOD

This pragmatic comparative effectiveness trial randomized 171 acutely injured trauma survivors with three or more early postinjury concerns and high levels of emotional distress to intervention (I; n = 85) and enhanced usual care control (C; n = 86) conditions. The care transition intervention components included care management that elicited and targeted improvement in patients' postinjury concerns, 24/7 study team cell phone accessibility, and stepped-up care. Posttraumatic concerns, symptomatic distress, functional status, and statewide emergency department (ED) service utilization were assessed at baseline and over the course of the 12 months after injury. Regression analyses assessed intervention and control group outcome differences over time.

RESULTS

Over 80% patient follow-up was attained at each time point. Intervention patients demonstrated clinically and statistically significant reductions in the percentage of any severe postinjury concerns expressed when compared to controls longitudinally (Wald chi-square = 11.29, p = 0.01) and at the six-month study time point (C = 74%, I = 53%; Fisher's exact test, p = 0.02). Comparisons of ED utilization data yielded clinically significant cross-sectional differences (one or more three- to six-month ED visits; C = 30.2%, I = 16.5%, [relative risk (95% confidence interval] C versus I = 2.00 (1.09, 3.70), p = 0.03) that did not achieve longitudinal statistical significance (F (3, 507) = 2.24, p = 0.08). The intervention did not significantly impact symptomatic or functional outcomes.

CONCLUSIONS

Orchestrated investigative and policy efforts should continue to evaluate patient-centered care transition interventions to inform American College of Surgeons' clinical guidelines for U.S. trauma care systems.

Psychiatric comorbidities in adult survivors of major trauma: findings from the Midland Trauma Registry

ABSTRACT INTRODUCTION Information for primary care providers about the outcomes of adult survivors of major medical trauma in the first year of recovery is not widely available. In particular, risks of impairment across multiple domains of functioning are poorly understood. AIM To determine the extent to which adults’ experience impaired health-related quality of life (QoL), symptoms of post-traumatic stress disorder, depression, chronic pain and harmful alcohol use during the year following major trauma, and to identify factors associated with outcomes. METHODS Adults (aged ≥16 years) admitted to Waikato Hospital following major trauma sustained in Waikato District between 1 June 2010 and 1 July 2011 were sent a questionnaire in their first year of recovery. They were asked about their QoL, mental health, experiences of pain, post-traumatic stress disorder symptoms and use of alcohol. RESULTS Sixty-five questionnaires were completed (40% response rate). In the year following major trauma, trauma survivors met criteria for post-traumatic stress disorder (45%), harmful alcohol use (26%), moderate to severe chronic pain (23%) and depression (18%). Reports of poor health-related QoL were common, ranging from self-care difficulties (31%) to pain and discomfort (72%). Younger age, previous psychiatric illness, substance use, intensive care unit admission and length of hospitalisation were associated with symptoms. Thirty-seven adults (57%) reported symptoms in at least two domains. DISCUSSION A significant proportion of adults experience adverse psychosocial outcomes in the first year following major trauma. Screening and management of potentially comorbid psychosocial needs could improve care and outcomes for survivors.