Megan Reynolds

Perceived injustice after traumatic injury: Associations with pain, psychological distress, and quality of life outcomes 12 months after injury.

OBJECTIVE There is growing recognition that individuals who experience traumatic injuries perceive themselves as victims of injustice and that elevated levels of perceived injustice are associated with problematic physical and psychological outcomes. To date, research regarding injustice perception and injury outcomes has been restricted to a small number of musculoskeletal pain conditions. No research to date has examined the potential impact of perceived injustice among individuals admitted for trauma care. METHOD As part of this cross-sectional study, individuals (n = 155) admitted to a Level-1 trauma center completed measures of perceived injustice, pain, depression, posttraumatic stress, and health related (physical and mental/emotional) quality of life (HRQoL) outcomes 12 months after trauma admission. RESULTS Bivariate analyses revealed significant associations between perceived injustice and demographic variables (education, income, race, and age) as well as injury-related variables (type of injury and length of hospital stay). Perceived injustice was correlated with greater pain intensity, depression, and PTSD symptoms, as well as poorer physical and mental HRQoL. Controlling for relevant demographic and injury-related variables, perceived injustice accounted for unique variance in pain intensity, depression severity, the presence and intensity of PTSD symptoms, mental HRQoL, and was marginally significant for physical HRQoL. CONCLUSIONS This is the first study to examine perceived injustice in a trauma sample. Results support the presence of injustice perception in this group and its associations with pain and quality of life outcomes. Additional research is suggested to explore the impact of perceived injustice on recovery outcomes among individuals who have sustained traumatic injury.

Posttraumatic stress disorder following traumatic injury at 6 months: associations with alcohol use and depression.

BACKGROUND Posttraumatic stress disorder (PTSD) is progressively recognized as a psychological morbidity in injured patients. Participants in a longitudinal study were identified as PTSD positive or PTSD negative at 6 months following injury. Risky alcohol use, depression, demographic, and injury-related variables were explored. METHODS This prospective cohort included patients 18 years or older, admitted to our Level I trauma center. Outcome measures included PTSD Checklist—Civilian Version (PCL-C), Alcohol Use Disorders Identification Test (AUDIT-C), and Patient Health Questionnaire (PHQ-8). Demographic and injury variables were collected. RESULTS A total of 211 participants enrolled in the study, and 118 participants completed measures at both baseline and 6 months. Of the participants, 25.4% (n = 30) screened positive for PTSD at 6 months. The entire sample showed a decline in risky alcohol use at 6 months (p = 0.0043). All PTSD-positive participants at 6 months were also positive for depression (p < 0.0001). For the entire sample, there was a 10% increase in depression from baseline to 6 months (p = 0.03). However, for those participants who were PTSD positive at 6 months, there was a 53% increase in depression from baseline (p = 0.0002) as compared with the group at 6 months without PTSD. Statistically significant differences were found between PTSD-positive and PTSD-negative participants regarding age (40.1 [15.9] vs. 50.9 [18.2], p = 0.0047), male (77% vs. 50%, p = 0.0109), penetrating injury (30% vs. 4%, p < 0.0001), PTSD history (17% vs. 4%, p = 0.0246), or other psychiatric condition (63% vs. 19%, p ⩽ 0.001). CONCLUSION PTSD was not associated with risky alcohol use at 6 months. Surprisingly, risky alcohol use declined in both groups. Incidence of PTSD (25.4%, n = 30) and risky alcohol use (25%, n = 29) were equal at 6 months. Although the American College of Surgeons’ Committee on Trauma requires brief screening and intervention for risky alcohol use owing to societal impact, reinjury rates, and cost effectiveness, our study suggests that screening for psychological conditions may be equally important. LEVEL OF EVIDENCE Prognostic study, level III.

Psychological factors predicting outcome after traumatic injury: the role of resilience.

BACKGROUND Increasingly, studies have examined the psychological impact on individuals who survive a traumatic physical injury. The primary aim of this study was to determine the stability of resilience and its association with depressive symptoms. METHODS This study included 110 adults admitted to a Level I trauma center. Resilience and depression were measured at baseline and 12 months. Injury-related variables included Glasgow Coma Scale, Injury Severity Score, etiology of injury, and type of injury. RESULTS Analysis revealed that resilience remained stable over 12 months regardless of injury severity, etiology, or type. Negative correlations were found between baseline resilience and 12-month depression (P < .01), as well as Glasgow Coma Scale and depression (P = .001). CONCLUSIONS Injured individuals with low resilience are more likely to be depressed at 12 months. Assessing resilience at the time of injury may be useful in identifying those at risk for depression 1 year later.

Predictors of PTSD symptoms in adults admitted to a Level I trauma center: a prospective analysis

Trauma centers are an ideal point of intervention in efforts to prevent posttraumatic stress disorder (PTSD). In order to assist in the development of prevention efforts, this study sought to identify early predictors of PTSD symptoms among adults admitted to a Level I trauma center using a novel analytic strategy (Fournier et al., 2009). Upon admission, participants (N=327) were screened for PTSD symptoms and provided information on potential predictor variables. Their PTSD symptoms were assessed again 3 months later (N=227). Participants were classified as symptomatic (positive PTSD screen) or asymptomatic (negative PTSD screen) at the follow-up assessment. Multinomial logistic regression showed that age, depression, number of premorbid psychiatric disorders, gunshot wound, auto vs. pedestrian injury, and alcohol use predicted who had PTSD symptoms at FU with 76.3% accuracy. However, when controlling for PTSD severity at baseline, only age, number of premorbid psychiatric disorders, and gunshot wounds predicted PTSD symptoms at FU but with 78.5% accuracy. These findings suggest that psychological prevention efforts in trauma centers may be best directed toward adults who are young, have premorbid psychiatric disorders, and those admitted with gunshot wounds.

Mild traumatic brain injury increases risk for the development of posttraumatic stress disorder.

BACKGROUND Traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) occur in individuals who sustain physical injury and share a significant overlap in symptoms. PTSD rates in the civilian injury population range from 20% to 40%. The current study examined the presence of PTSD symptoms at multiple time points (3 months and 6 months after injury) among individuals with and without TBI after admission to a Level I trauma center. METHODS This prospective cohort study included patients 18 years and older admitted to a Level I trauma center for 24 hours or greater. Demographic and injury-related data were gathered in addition to assessments of PTSD during initial hospitalization after injury, as well as 3 months and 6 months later. The Primary Care PTSD Screen and PTSD Checklist–Civilian version were used to determine probable PTSD. International Classification of Diseases, 9th Rev. codes were used to determine mild TBI (MTBI). RESULTS A total of 494 patients were enrolled at baseline, 311 (63%) completed 3-month follow-up, and 231 (47%) completed 6-month follow-up at the time of analysis. Preinjury PTSD was reported by 7% of the participants. At 3 months, patients with MTBI evidenced a probable PTSD rate of 18%, compared with a rate of 9% for patients with no MTBI (p = 0.04), although this relationship became a nonsignificant trend (p = 0.06) when demographics were included. At 6 months, patients with MTBI evidenced a probable PTSD rate of 26%, compared with a rate of 15% for patients with no MTBI (p = 0.04), and this relationship remained significant when demographics were included. Preinjury history of TBI did not predict PTSD, but incidence of TBI for the injury in which they were hospitalized did predict PTSD. CONCLUSION TBI at time of injury demonstrated a nonsignificant trend toward higher rates of PTSD at 3 months and significantly predicted PTSD at 6 months after injury. This important finding may help clinicians identify patients at high risk for PTSD after injury and target these patients for screening, intervention, and referral for treatment. LEVEL OF EVIDENCE Prognostic study, level III.

Trauma patient readmissions: Why do they come back for more?

BACKGROUND Hospital readmissions are a frequent challenge. Speculation exists that rates of readmission following traumatic injury will be publicly disclosed. The primary aim of this study was to characterize and model 1-year readmission patterns to multiple institutions among patients originally admitted to a single, urban Level I trauma center. Additional analyses within the superutilizers subgroup identified predictors of 30-day readmissions as well as patient loyalty for readmission to their index hospital. We hypothesized that hospital readmission among trauma patients would be associated with socioeconomic, demographic, and clinical features and superutilizers would be identifiable during initial hospitalization. METHODS Data were retrospectively gathered for 2,411 unique trauma patients admitted to a Level I American College of Surgeons–certified trauma center over 1 year, with readmissions identified 1 year after index admission. A regional hospital database was queried for readmissions. Outcomes of all readmission encounters were analyzed using a binary logistic regression model including demographic, diagnoses, Injury Severity Score (ISS), procedures, Elixhauser comorbidities, insurance, and disposition data. Subset analysis of superutilizers was also performed to examine patterns among superutilizers. RESULTS A total of 434 patients (21%) were readmitted during the study period, accounting for 720 readmission encounters. Sixty-three patients accounting for 269 encounters were identified as superutilizers (3+ readmissions). A total of 136 patients (6%) were readmitted within 30 days of initial discharge. Fifty-seven percent of readmissions returned to the originating hospital. CONCLUSION Complications including comorbid disease (diabetes and congestive heart failure), septicemia, weight loss, and trauma recidivism distinguish the superutilizer trauma patient. Having Medicaid funding increased the odds of readmission by 274%. It is imperative that interventions be developed and targeted toward those at high risk of superutilization of health care resources to curb spending. These results strongly support continuation of longitudinal readmission research in trauma patients conducted in multicenter settings. LEVEL OF EVIDENCE Epidemiologic study, level III.

Identifying predictors of resilience at inpatient and 3-month post-spinal cord injury

Objectives: To identify (1) changes in psychosocial factors, (2) relationships between psychosocial factors, and (3) significant predictors of resilience in adults with spinal cord injury (SCI) during inpatient rehabilitation and at 3-month post-discharge. Design: Cross sectional with convenience sample based on inclusion/exclusion criteria. Setting: Inpatient rehabilitation hospital and community-based follow-up. Participants: Individuals with a SCI. Interventions: Not applicable. Outcome measures: Demographic, resilience, self-efficacy for managing a chronic health issue, depression, social roles/activity limitations, and pain. Results: The final sample consisted of 44 respondents (16 women and 28 men). Results of repeated measure analyses of variance indicated no significant changes in variables between inpatient and 3-month follow-up. Bivariate correlations revealed associations between resilience and self-efficacy at inpatient (r = 0.54, P < 0.001), and resilience and depression (r = −0.69, P < 0.001) and self-efficacy (r = 0.67, P < 0.001) at 3-month follow-up. Hierarchical regression analyses a significant model predicting resilience at inpatient stay (R = 0.61; adjusted R2 = 0.24, P = 0.023), and at 3-month follow-up (R = 0.83; adjusted R2 = 0.49, P = 0.022). Self-efficacy was the strongest predictor at inpatient stay (β = 0.46, P  =  0.006) and depression was strongest at 3-month follow-up (β = −0.80, P = 0.007). Conclusion: Results suggest that although resilience appears to be stable from inpatient to 3-month follow-up, different factors are stronger predictors of resilience across time. Based on current results, an assessment of self-efficacy during inpatient rehabilitation and an identification of depression at 3-month follow-up may be important factors to help identify those at risk of health issues overtime.

Posttraumatic Stress Symptoms Among Spinal Cord Injury Patients in Trauma: A Brief Report

Background: Attention has recently focused on posttraumatic stress disorder (PTSD) among individuals with traumatic spinal cord injury (SCI). Purpose: To examine characteristics of individuals with and without symptoms of PTSD following acute SCI. Methods: Data were collected on 23 patients (age, 34.5 ± 14.4 years) at a Level I trauma center (14.35 ± 18.48 days following injury). Results: There were 52.2% (n = 12) who experienced symptoms of PTSD post injury, with a significant association in patients with a history of psychological disorders (p = .0094). Conclusion: Findings suggest that patients with SCI who present with PTSD symptoms in the acute trauma care settting should be provided with specific cognitive behavioral interventions.

Prospective Evaluation of Posttraumatic Stress Disorder in Injured Patients With and Without Orthopaedic Injury.

Objectives: The study purposes were to prospectively evaluate occurrence of posttraumatic stress (PTS) symptoms at hospital admission and 6 months later in patients with orthopaedic injury; to explore differences in PTS symptoms in those with and without orthopaedic injury; and to determine whether PTS symptoms are influenced by orthopaedic injury type. Design: Prospective, longitudinal observational study. Setting: Level 1 Trauma Center. Patients/Participants: Two hundred fifty-nine participants admitted for at least 24 hours. Main Outcome Measurements: The Primary Care Posttraumatic Stress Disorder (PTSD) Screen (PC-PTSD) measured PTSD symptoms during hospitalization. The PTSD Checklist–Civilian Version (PCL-C) measured PTS symptoms at 6 months. Results: In orthopaedic patients, 28% had PTS at 6 months, compared with 34% of nonorthopaedic patients. Odds ratios (ORs) were calculated to determine the influence of pain, physical and mental function, depression, and work status. At 6 months, if the pain score was 5 or higher, the odds of PTS symptoms increased to 8.38 (3.55, 19.8) (P < 0.0001). Those scoring below average in physical function were significantly more likely to have PTS symptoms [OR = 7.60 (2.99, 19.32), P < 0.0001]. The same held true for mental functioning and PTS [OR = 11.4 (4.16, 30.9), P < 0.0001]. Participants who screened positive for depression had a 38.9 (14.5, 104) greater odds (P < 0.0001). Participants who did not return to work after injury at 6 months were significantly more likely to have PTS [OR = 16.5 (1.87, 146), P = 0.012]. Conclusions: PTSD is common in patients after injury, including those with orthopaedic trauma. At 6 months, pain of 5 or greater, poor physical and mental function, depression, and/or not returning to work seem to be predictive of PTSD. Orthopaedic surgeons should identify and refer for PTSD treatment given the high incidence postinjury. Level of Evidence: Prognostic Level I. See Instructions for Authors for a complete description of levels of evidence.

Modifying an evidence-based lifestyle programme for individuals with traumatic brain injury

ABSTRACT Objective: Individuals with traumatic brain injury (TBI) are at a risk of obesity-related chronic diseases; yet, no evidence-based strategies exist to support weight management in this population. The purpose of this study was to use participatory action research to modify the Diabetes Prevention Program Group Lifestyle Balance (DPP-GLB) programme for overweight/obese people with TBI. The DPP-GLB programme provides education and self-management skills for individuals to reach their lifestyle goals through healthy eating and physical activity. Methods: A committee of 10 stakeholders including clinicians, patients and caregivers reviewed and modified the DPP-GLB for overweight/obese individuals with TBI. Stakeholders suggested modifications to the content, layout, format, language, behaviour-changing strategies and delivery approaches. The group also provided input on research applications of the modified DPP-GLB including recruitment strategies, study design and patient-centred outcome measures. Results: Strategies for successful implementation in this population focused on determining (1) eligibility criteria for programme inclusion and (2) adaptations to the DPP-GLB curriculum including caregiver involvement, TBI-specific physical activity and nutrition recommendations and tracking and presentation of the content. Conclusions: If it is shown to be effective in this population, the modified DPP-GLB for TBI will provide a model for implementation in a variety of community settings.