Bilingual problem-solving training for caregivers of adults with dementia: A randomized, factorial-design protocol for the CaDeS trial

Objective: Caregivers of individuals with Alzheimer\u27s disease and related dementias (ADRD) often experience debilitating caregiver burden and emotional distress. To address these negative emotional consequences of caregiving, we will test and refine a strategy training intervention - Problem-Solving Training (PST) - that promotes self-efficacy and reduces caregiver burden and depressive symptoms. Previous research supports efficacy of PST; however, we do not know exactly how many PST sessions are needed or if post-training boosters are required to maintain PST benefits. Additionally, we translated and culturally-adapted PST into Descubriendo Soluciones Juntos (DSJ), our novel intervention for Spanish-speaking caregivers. Method: In this 2 × 2 factorial design randomized controlled trial, we will test remotely-delivered PST/DSJ sessions for both English- and Spanish-speaking caregivers of persons with ADRD to determine the optimal number of PST/DSJ sessions and ongoing booster sessions needed to best help caregivers navigate their current and future needs. Aims: 1) Compare the efficacy of three vs. six PST/DSJ sessions each with and without booster sessions for decreasing caregiver burden and depression and enhancing caregiver problem-solving; 2) Identify key factors associated with efficacy of PST/DSJ, including age, gender, primary language, relationship to care recipient, and uptake of the PST/DSJ strategy. Results: These results will establish guidelines needed for an evidence-based, culturally-adapted, and implementable problem-solving intervention to reduce caregiver stress and burden and improve caregiver health and well-being. Conclusion: This work promotes inclusion of diverse and underserved populations and advances therapeutic behavioral interventions that improve the lives of caregivers of individuals with chronic conditions

Caregiver Characteristics of Adults with Acute Traumatic Brain Injury in the United States and Latin America

Objectives: To compare characteristics of caregivers of adults with acute traumatic brain injury (TBI) in the U.S. and Latin America (Mexico and Colombia). Design: Secondary data analysis of two cohorts. Cohort 1: English-speaking caregivers of adults with TBI in the U.S. (n = 80). Cohort 2: Spanish-speaking caregivers of adults with TBI in Mexico or Colombia (n = 109). Results: Similarities between the U.S. and Latin American caregiver groups, respectively, were: predominantly women (81.3%, 81.7%, respectively); spouses/domestic partners (45%, 31.2%); and motor vehicle accident (41.5%, 48.6%) followed by fall etiologies (40%, 21.1%). Differences between U.S. and Latin American caregivers were: age (49.5 years, 41.5 years, p < 0.001); employment status ((X-5(2) = 59.63, p < 0.001), full-time employment (63.7%, 25.7%), homemaker (2.5%, 31.2%), and retired (17.5%, 1.8%)); violence-related etiology (2.5%, 15.6%); and severity of depressive symptoms (M = 7.9, SD = 5.8; M = 5.8, SD = 5.7; p = 0.014). Conclusions: TBI caregivers in the U.S. were older and employed full-time or retired more often than those in Latin America. Violence-related etiology was nearly five times more common in Latin America, raising concerns for potential implications of post-traumatic stress and family adjustment after injury. Although both groups likely could use mental health support, this was particularly true of the U.S. cohort, maybe due to differential demographics, mechanisms of injury, or family and community support.Data collection was supported by NIDILRR (grant numbers: Kessler 90DPTB0003; NTX-TBIMS 90DPTB0013; JFK 90DPTB0014) and Grant #R21TW009746 from the Fogarty International Center of the National Institutes of Health and in part by the Department of Veterans Affairs. Additional support for coauthors was provided by NIDILRR (grant numbers: Spaulding/Harvard TBIMS: 90DPTB0011; TIRR 90DPTB0016)

Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review.

The purpose of our scoping review was to describe the current use of mHealth technology for long-term assessment of patient-reported outcomes in community-dwelling individuals with acquired brain injury (ABI). Following PRISMA guidelines, we conducted a scoping review of literature meeting these criteria: (1) civilians or military veterans, all ages; (2) self-reported or caregiver-reported outcomes assessed via mobile device in the community (not exclusively clinic/hospital); (3) published in English; (4) published in 2015-2019. We searched Ovid MEDLINE(R) \u3c 1946 to 16 August 2019, MEDLINE InProcess, EPub, Embase, and PsycINFO databases for articles. Thirteen manuscripts representing 12 distinct studies were organized by type of ABI [traumatic brain injury (TBI) and stroke] to extract outcomes, mHealth technology used, design, and inclusion of ecological momentary assessment (EMA). Outcomes included post-concussive, depressive, and affective symptoms, fatigue, daily activities, stroke risk factors, and cognitive exertion. Overall, collecting patient-reported outcomes via mHealth was feasible and acceptable in the chronic ABI population. Studies consistently showed advantage for using EMA despite variability in EMA timing/schedules. To ensure best clinical measurement, research on post-ABI outcomes should consider EMA designs (versus single time-point assessments) that provide the best timing schedules for their respective aims and outcomes and that leverage mHealth for data collection

Acute Trauma Factor Associations With Suicidality Across the First 5 Years After Traumatic Brain Injury

AbstractObjectiveTo determine whether severity of head and extracranial injuries (ECI) is associated with suicidal ideation (SI) or suicide attempt (SA) after traumatic brain injury (TBI).DesignFactors associated with SI and SA were assessed in this inception cohort study using data collected 1, 2, and 5 years post-TBI from the National Trauma Data Bank and Traumatic Brain Injury Model Systems (TBIMS) databases.SettingLevel I trauma centers, inpatient rehabilitation centers, and the community.ParticipantsParticipants with TBI from 15 TBIMS Centers with linked National Trauma Data Bank trauma data (N=3575).InterventionsNot applicable.Main Outcome MeasuresSI was measured via the Patient Health Questionnaire 9 (question 9). SA in the last year was assessed via interview. ECI was measured by the Injury Severity Scale (nonhead) and categorized as none, mild, moderate, or severe.ResultsThere were 293 (8.2%) participants who had SI without SA and 109 (3.0%) who had SA at least once in the first 5 years postinjury. Random effects logit modeling showed a higher likelihood of SI when ECI was severe (odds ratio=2.73; 95% confidence interval, 1.55–4.82; P=.001). Drug use at time of injury was also associated with SI (odds ratio=1.69; 95% confidence interval, 1.11–2.86; P=.015). Severity of ECI was not associated with SA.ConclusionsSevere ECI carried a nearly 3-fold increase in the odds of SI after TBI, but it was not related to SA. Head injury severity and less severe ECI were not associated with SI or SA. These findings warrant additional work to identify factors associated with severe ECI that make individuals more susceptible to SI after TBI

Post-Traumatic Epilepsy Associations with Mental Health Outcomes in the First Two Years after Moderate to Severe TBI: A TBI Model Systems Analysis

Purpose Research suggests that there are reciprocal relationships between mental health (MH) disorders and epilepsy risk. However, MH relationships to post-traumatic epilepsy (PTE) have not been explored. Thus, the objective of this study was to assess associations between PTE and frequency of depression and/or anxiety in a cohort of individuals with moderate-to-severe TBI who received acute inpatient rehabilitation. Methods Multivariate regression models were developed using a recent (2010–2012) cohort (n = 867 unique participants) from the TBI Model Systems (TBIMS) National Database, a time frame during which self-reported seizures, depression [Patient Health Questionnaire (PHQ)-9], and anxiety [Generalized Anxiety Disorder (GAD-7)] follow-up measures were concurrently collected at year-1 and year-2 after injury. Results PTE did not significantly contribute to depression status in either the year-1 or year-2 cohort, nor did it contribute significantly to anxiety status in the year-1 cohort, after controlling for other known depression and anxiety predictors. However, those with PTE in year-2 had 3.34 times the odds (p = .002) of having clinically significant anxiety, even after accounting for other relevant predictors. In this model, participants who self-identified as Black were also more likely to report clinical symptoms of anxiety than those who identified as White. PTE was the only significant predictor of comorbid depression and anxiety at year-2 (Odds Ratio 2.71; p = 0.049). Conclusions Our data suggest that PTE is associated with MH outcomes 2 years after TBI, findings whose significance may reflect reciprocal, biological, psychological, and/or experiential factors contributing to and resulting from both PTE and MH status post-TBI. Future work should consider temporal and reciprocal relationships between PTE and MH as well as if/how treatment of each condition influences biosusceptibility to the other condition

Branching out: Feasibility of examining the effects of greenspace on mental health after traumatic brain injury

Aim: This pilot study’s aim was to determine the feasibility of examining the effects of an environmental variable (i.e., tree canopy coverage) on mental health after sustaining a brain injury. Methods: A secondary data analysis was conducted leveraging existing information on mental health after moderate to severe traumatic brain injury (TBI) from the TBI Model System. Mental health was measured using PHQ-9 (depression) and GAD-7 (anxiety) scores. The data were compared with data on tree canopy coverage in the state of Texas that was obtained from the Multi-Resolution Land Characteristics (MRLC) Consortium using GIS analysis. Tree canopy coverage as an indicator of neighborhood socioeconomic status was also examined using the Neighborhood SES Index. Results: Tree canopy coverage had weak and non-significant correlations with anxiety and depression scores, as well as neighborhood socioeconomic status. Data analysis was limited by small sample size. However, there is a higher percentage (18.8%) of participants who reported moderate to severe depression symptoms in areas with less than 30% tree canopy coverage, compared with 6.6% of participants who endorsed moderate to severe depression symptoms and live in areas with more than 30% tree canopy coverage (there was no difference in anxiety scores). Conclusion: Our work confirms the feasibility of measuring the effects of tree canopy coverage on mental health after brain injury and warrants further investigation into examining tree canopy coverage and depression after TBI. Future work will include nationwide analyses to potentially detect significant relationships, as well as examine differences in geographic location

Development and content validity of the behavioral assessment screening tool (BAST_β)

<p><b>Purpose:</b> Develop and establish the content validity of the Behavioral Assessment Screening Tool (BAST_β), a self-reported measure of behavioral and emotional symptoms after traumatic brain injury.</p> <p><b>Methods:</b> This was an assessment development study, including two focus groups of individuals with traumatic brain injury (<i>n</i> = 11) and their family members (<i>n</i> = 10) and an expert panel evaluation of content validity by experts in traumatic brain injury rehabilitation (<i>n</i> = 7). We developed and assessed the Content Validity Index of the BAST_β.</p> <p><b>Results:</b> The BAST_β initial items (<i>n</i> = 77) corresponded with an established conceptual model of behavioral dysregulation after traumatic brain injury. After expert panel evaluation and focus group feedback, the final BAST_β included 66 items (60 primary, 6 branching logic) rated on a three-level ordinal scale (Never, Sometimes, Always) with reference to the past two weeks, and an Environmental Context checklist including recent major life events (<i>n</i> = 23) and four open-ended questions about environmental factors. The BAST_β had a high Content Validity Index of 89.3%.</p> <p><b>Conclusion:</b> The BAST_β is a theoretically grounded, multidimensional self-reported assessment of behavioral dysregulation after traumatic brain injury, with good content validity. Future translation into mobile health modalities could improve effectiveness and efficiency of long-term symptom monitoring post-traumatic brain injury. Future work will establish and validate the factor structure, internal consistency reliabilities and other validities of the BAST.Implications for Rehabilitation</p><p>Behavioral problems after traumatic brain injury is one of the strongest contributing factors to poor mood and community integration outcomes after injury.</p><p>Behavior is complex and multidimensional, making it a challenge to measure and to monitor long term.</p><p>The Behavioral Assessment Screening Tool (BAST) is a patient-oriented outcome assessment developed in collaboration with individuals with traumatic brain injury, their care partners, and experts in the field of traumatic brain injury rehabilitation to be relevant and accessible for adults with traumatic brain injuries.</p><p>The BAST is a long-term monitoring and screening tool for community-dwelling adults with traumatic brain injuries, to improve identification and management of behavioral and emotional sequelae.</p><p></p> <p>Behavioral problems after traumatic brain injury is one of the strongest contributing factors to poor mood and community integration outcomes after injury.</p> <p>Behavior is complex and multidimensional, making it a challenge to measure and to monitor long term.</p> <p>The Behavioral Assessment Screening Tool (BAST) is a patient-oriented outcome assessment developed in collaboration with individuals with traumatic brain injury, their care partners, and experts in the field of traumatic brain injury rehabilitation to be relevant and accessible for adults with traumatic brain injuries.</p> <p>The BAST is a long-term monitoring and screening tool for community-dwelling adults with traumatic brain injuries, to improve identification and management of behavioral and emotional sequelae.</p