A Systems Science Approach to Understanding Polytrauma and Blast-Related Injury: Bayesian Network Model of Data From a Survey of the Florida National Guard.

We sought to further define the epidemiology of the complex, multiple injuries collectively known as polytrauma/blast-related injury (PT/BRI). Using a systems science approach, we performed Bayesian network modeling to find the most accurate representation of the complex system of PT/BRI and identify key variables for understanding the subsequent effects of blast exposure in a sample of Florida National Guard members (1,443 deployed to Operation Enduring Freedom/Operation Iraqi Freedom and 1,655 not deployed) who completed an online survey during the period from 2009 to 2010. We found that postdeployment symptoms reported as present at the time of the survey were largely independent of deployment per se. Blast exposure, not mild traumatic brain injury (TBI), acted as the primary military deployment-related driver of PT/BRI symptoms. Blast exposure was indirectly linked to mild TBI via other deployment-related traumas and was a significant risk for a high level of posttraumatic stress disorder (PTSD) arousal symptoms. PTSD arousal symptoms and tinnitus were directly dependent upon blast exposure, with both acting as bridge symptoms to other postdeployment mental health and physical symptoms, respectively. Neurobehavioral or postconcussion-like symptoms had no significant dependence relationship with mild TBI, but they were synergistic with blast exposure in influencing PTSD arousal symptoms. A replication of this analysis using a larger PT/BRI database is warranted.

The structure of postconcussion symptoms on the Neurobehavioral Symptom Inventory: a comparison of alternative models.

OBJECTIVE: To evaluate and compare the existing Neurobehavioral Symptom Inventory factor structure models to determine which model provides the best overall fit for postconcussion symptoms and determine which model is useful across different samples (eg, with and without mild traumatic brain injury [TBI] history). SETTING: N/A. PARTICIPANTS: A Florida National Guard sample (N = 3098) and a national Department of Veterans Affairs sample (N = 48,175). DESIGN: Retrospective structural equation modeling was used to compare 16 alternative factor structure models. First, these 16 possible models were examined separately in both samples. Then, to determine whether the same factor structures applied across subsamples within these samples, the models were compared for those deployed and those not deployed in the Florida National Guard sample and between those with TBI confirmed on clinical evaluation and those who were determined not to have sustained a TBI within the Department of Veterans Affairs sample. MAIN MEASURES: Neurobehavioral Symptom Inventory. RESULTS: A 4-factor model--vestibular, somatic, cognitive, and affective--had the best overall fit, after elimination of 2 items (ie, hearing problems and appetite disturbance), and was most applicable across samples. CONCLUSIONS: These findings extend the findings of Meterko et al to other samples. Because findings were consistent across sample and subsamples, the current findings are applicable to both Department of Veteran Affairs and Department of Defense postdeployment medical evaluation settings.

Screening for postdeployment conditions: development and cross-validation of an embedded validity scale in the neurobehavioral symptom inventory.

OBJECTIVE: To develop and cross-validate internal validity scales for the Neurobehavioral Symptom Inventory (NSI). PARTICIPANTS: Four existing data sets were used: (1) outpatient clinical traumatic brain injury (TBI)/neurorehabilitation database from a military site (n = 403), (2) National Department of Veterans Affairs TBI evaluation database (n = 48 175), (3) Florida National Guard nonclinical TBI survey database (n = 3098), and (4) a cross-validation outpatient clinical TBI/neurorehabilitation database combined across 2 military medical centers (n = 206). RESEARCH DESIGN: Secondary analysis of existing cohort data to develop (study 1) and cross-validate (study 2) internal validity scales for the NSI. MAIN MEASURES: The NSI, Mild Brain Injury Atypical Symptoms, and Personality Assessment Inventory scores. RESULTS: Study 1: Three NSI validity scales were developed, composed of 5 unusual items (Negative Impression Management [NIM5]), 6 low-frequency items (LOW6), and the combination of 10 nonoverlapping items (Validity-10). Cut scores maximizing sensitivity and specificity on these measures were determined, using a Mild Brain Injury Atypical Symptoms score of 8 or more as the criterion for invalidity. Study 2: The same validity scale cut scores again resulted in the highest classification accuracy and optimal balance between sensitivity and specificity in the cross-validation sample, using a Personality Assessment Inventory Negative Impression Management scale with a T score of 75 or higher as the criterion for invalidity. CONCLUSIONS: The NSI is widely used in the Department of Defense and Veterans Affairs as a symptom-severity assessment following TBI, but is subject to symptom overreporting or exaggeration. This study developed embedded NSI validity scales to facilitate the detection of invalid response styles. The NSI Validity-10 scale appears to hold considerable promise for validity assessment when the NSI is used as a population-screening tool.

Effectiveness of care models for chronic disease management: A scoping review of systematic reviews.

OBJECTIVE: To conduct a scoping review of models of care for chronic disease management to identify potentially effective components for management of chronic traumatic brain injury (TBI). METHODS: Information sources: Systematic searches of three databases (Ovid MEDLINE, Embase, and Cochrane Database of Systematic Reviews) from January 2010 to May 2021. ELIGIBILITY CRITERIA: Systematic reviews and meta-analyses reporting on the effectiveness of the Chronic Care Model (CCM), collaborative/integrated care, and other chronic disease management models. DATA: Target diseases, model components used (n = 11), and six outcomes (disease-specific, generic health-related quality of life and functioning, adherence, health knowledge, patient satisfaction, and cost/health care use). SYNTHESIS: Narrative synthesis, including proportion of reviews documenting outcome benefits. RESULTS: More than half (55%) of the 186 eligible reviews focused on collaborative/integrated care models, with 25% focusing on CCM and 20% focusing on other chronic disease management models. The most common health conditions were diabetes (n = 22), depression (n = 16), heart disease (n = 12), aging (n = 11), and kidney disease (n = 8). Other single medical conditions were the focus of 22 reviews, multiple medical conditions of 59 reviews, and other or mixed mental health/behavioral conditions of 20 reviews. Some type of quality rating for individual studies was conducted in 126 (68%) of the reviews. Of reviews that assessed particular outcomes, 80% reported disease-specific benefits, and 57% to 72% reported benefits for the other five types of outcomes. Outcomes did not differ by the model category, number or type of components, or target disease. CONCLUSIONS: Although there is a paucity of evidence for TBI per se, care model components proven effective for other chronic diseases may be adaptable for chronic TBI care.

Health outcomes associated with military deployment: mild traumatic brain injury, blast, trauma, and combat associations in the Florida National Guard.

OBJECTIVES: To determine the association between specific military deployment experiences and immediate and longer-term physical and mental health effects, as well as examine the effects of multiple deployment-related traumatic brain injuries (TBIs) on health outcomes. DESIGN: Online survey of cross-sectional cohort. Odds ratios were calculated to assess the association between deployment-related factors (ie, physical injuries, exposure to potentially traumatic deployment experiences, combat, blast exposure, and mild TBI) and current health status, controlling for potential confounders, demographics, and predeployment experiences. SETTING: Nonclinical. PARTICIPANTS: Members (N=3098) of the Florida National Guard (1443 deployed, 1655 not deployed). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Presence of current psychiatric diagnoses and health outcomes, including postconcussive and non-postconcussive symptoms. RESULTS: Surveys were completed an average of 31.8 months (SD=24.4, range=0-95) after deployment. Strong, statistically significant associations were found between self-reported military deployment-related factors and current adverse health status. Deployment-related mild TBI was associated with depression, anxiety, posttraumatic stress disorder (PTSD), and postconcussive symptoms collectively and individually. Statistically significant increases in the frequency of depression, anxiety, PTSD, and a postconcussive symptom complex were seen comparing single to multiple TBIs. However, a predeployment TBI did not increase the likelihood of sustaining another TBI in a blast exposure. Associations between blast exposure and abdominal pain, pain on deep breathing, shortness of breath, hearing loss, and tinnitus suggested residual barotrauma. Combat exposures with and without physical injury were each associated not only with PTSD but also with numerous postconcussive and non-postconcussive symptoms. The experience of seeing others wounded or killed or experiencing the death of a buddy or leader was associated with indigestion and headaches but not with depression, anxiety, or PTSD. CONCLUSIONS: Complex relationships exist between multiple deployment-related factors and numerous overlapping and co-occurring current adverse physical and psychological health outcomes. Various deployment-related experiences increased the risk for postdeployment adverse mental and physical health outcomes, individually and in combination. These findings suggest that an integrated physical and mental health care approach would be beneficial to postdeployment care.

Characterizing wandering behaviors in persons with traumatic brain injury residing in veterans health administration nursing homes.

OBJECTIVE: To examine the prevalence and correlates of wandering in persons with traumatic brain injury (TBI) in nursing homes (NHs). DESIGN: Using a cross-sectional design, logistic regression modeling was used to analyze a national database. SETTING: One hundred thirty-four NH facilities operated by the Veterans Health Administration. PARTICIPANTS: NH residents (N=625) with TBI as well as a sample (n=164) drawn from a larger dataset of NH residents without TBI using 1:K matching on age. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Wandering. RESULTS: Wanderers with and without TBI did not differ significantly overall. The prevalence of wandering among patients with TBI was 14%, compared with 6.5% of the general nursing home population. The results of the multivariate logistic regression suggested that wandering was associated with poor memory, poor decision making, behavior problems, independence in locomotion and ambulation, and dependence in activities of daily living related to basic hygiene. CONCLUSIONS: Wandering is relatively common in NH residents with TBI. As expected, it is associated with cognitive, social, and physical impairments. Further research with a larger sample should examine those with comorbid dementia and/or psychiatric diagnoses.

Rehabilitation of traumatic brain injury in active duty military personnel and veterans: Defense and Veterans Brain Injury Center randomized controlled trial of two rehabilitation approaches.

OBJECTIVES: To determine the relative efficacy of 2 different acute traumatic brain injury (TBI) rehabilitation approaches: cognitive didactic versus functional-experiential, and secondarily to determine relative efficacy for different patient subpopulations. DESIGN: Randomized, controlled, intent-to-treat trial comparing 2 alternative TBI treatment approaches. SETTING: Four Veterans Administration acute inpatient TBI rehabilitation programs. PARTICIPANTS: Adult veterans or active duty military service members (N=360) with moderate to severe TBI. INTERVENTIONS: One and a half to 2.5 hours of protocol-specific cognitive-didactic versus functional-experiential rehabilitation therapy integrated into interdisciplinary acute Commission for Accreditation of Rehabilitation Facilities-accredited inpatient TBI rehabilitation programs with another 2 to 2.5 hours daily of occupational and physical therapy. Duration of protocol treatment varied from 20 to 60 days depending on the clinical needs and progress of each participant. MAIN OUTCOME MEASURES: The 2 primary outcome measures were functional independence in living and return to work and/or school assessed by independent evaluators at 1-year follow-up. Secondary outcome measures consisted of the FIM, Disability Rating Scale score, and items from the Present State Exam, Apathy Evaluation Scale, and Neurobehavioral Rating Scale. RESULTS: The cognitive-didactic and functional-experiential treatments did not result in overall group differences in the broad 1-year primary outcomes. However, analysis of secondary outcomes found differentially better immediate posttreatment cognitive function (mean+/-SD cognitive FIM) in participants randomized to cognitive-didactic treatment (27.3+/-6.2) than to functional treatment (25.6+/-6.0, t332=2.56, P=.01). Exploratory subgroup analyses found that younger participants in the cognitive arm had a higher rate of returning to work or school than younger patients in the functional arm, whereas participants older than 30 years and those with more years of education in the functional arm had higher rates of independent living status at 1 year posttreatment than similar patients in the cognitive arm. CONCLUSIONS: Results from this large multicenter randomized controlled trial comparing cognitive-didactic and functional-experiential approaches to brain injury rehabilitation indicated improved but similar long-term global functional outcome. Participants in the cognitive treatment arm achieved better short-term functional cognitive performance than patients in the functional treatment arm. The current increase in war-related brain injuries provides added urgency for rigorous study of rehabilitation treatments. (http://ClinicalTrials.gov ID# NCT00540020.).

Mechanism-of-injury approach to evaluating patients with blast-related polytrauma.

Civilians and military personnel alike are increasingly being exposed to explosives in war zones and other regions of political conflict and, consequently, they are suffering associated blast-related polytrauma (multiple complex injuries). Although acute, emergency-based medical care for patients with blast-related trauma has been well described, postacute clinical management--which is of greatest interest to primary care physicians and rehabilitation specialists--has not been well discussed or researched. The authors offer a description of the common injuries seen in patients with blast-related polytrauma, as well as a conceptual model of a potential evaluation and treatment strategy in the postacute setting. Although medical evaluation of a patient typically proceeds in a sequential manner based on primary symptoms, the authors advocate a parallel approach to patient evaluation based on mechanism (cause) of injury. Such an approach relies on knowledge of the typical physical and psychological sequelae associated with a particular mechanism of injury to guide patient assessment and treatment. The authors highlight the mechanism-of-injury approach used with patients who have blast-related polytrauma at the Veterans Health Administration's (VHA) Veterans Affairs Medical Center in Tampa, Fla, site of one of the VHA's four Polytrauma Rehabilitation Centers.

Suicidal Ideation among Florida National Guard Members: Combat Deployment and Non-Deployment Risk and Protective Factors.

This study examined relationships among risk/protective factors and suicidal ideation (SI) in deployed and non-deployed National Guard members, particularly examining for possible differential effects of deployment on SI. A total of 3,098 Florida National Guard members completed an anonymous online survey that assessed variables associated with SI including demographics, current psychiatric diagnoses, and pre-, during, and post-deployment experiences. Those deployed had significantly higher rates of SI (5.5%) than those not deployed (3.0%; p < .001). In multivariate analyses, among those not deployed, SI was significantly associated with major depressive disorder (p < .001), posttraumatic stress disorder (PTSD) (p < .001), prior psychological trauma (p < .01), and heavy/hazardous alcohol consumption (p < .05). In contrast, in the deployed, only PTSD (p < .001) and deployment-related mild traumatic brain injury (p < .05) were independently associated with SI. Risk and protective factors differed by deployment status in National Guard members suggesting the possible need for cohort-specific treatment targets to minimize SI.

Normative Data for the Neurobehavioral Symptom Inventory (NSI) and post-concussion symptom profiles among TBI, PTSD, and nonclinical samples.

The Neurobehavioral Symptom Inventory (NSI) is a self-report measure of symptoms commonly associated with Post-Concussion Syndrome (PCS) that may emerge after mild traumatic brain injury (mTBI). Despite frequent clinical use, no NSI norms have been developed. Thus, the main objective of this study was to establish NSI normative data using the four NSI factors (i.e., vestibular, somatic, cognitive, and affective) identified by Vanderploeg, Silva, et al. ( 2014 ) among nonclinical epidemiological samples of deployed and non-deployed Florida National Guard members as well as a reference sample of Guard members with combat-related mTBI. In addition, NSI subscale profile patterns were compared across four distinct subgroups (i.e., non-deployed-nonclinical, deployed-nonclinical, deployed-mTBI, and deployed-PTSD). The deployed-nonclinical group endorsed greater PCS symptom severity than the non-deployed group, and the mTBI group uniformly endorsed more symptoms than both nonclinical groups. However, the PTSD group endorsed higher symptom severity relative to the other three subgroups. As such, this highlights the non-specificity of PCS symptoms and suggests that PTSD is associated with higher symptom endorsement than mTBI.

Utility of mechanism-of-injury-based assessment and treatment: Blast Injury Program case illustration.

While medicine typically proceeds in a sequential fashion based on primary symptoms, sometimes relying on a parallel, mechanism-of-injury-based approach is advantageous, particularly when the mechanism of injury is associated with a variety of known sequelae. A mechanism-of-injury-based approach relies on knowledge of the typical sequelae associated with that mechanism of injury to guide assessment and treatment. Thus, it represents an active, rather than passive, case-finding approach. This article describes an example of a mechanism-of-injury-based program, namely, a Blast Injury Program at the James A. Haley Veterans Hospital in Tampa, Florida. Case examples illustrate the utility of this approach with regard to more comprehensive assessment and treatment, as well as the possibility for secondary prevention.