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3 Intensive Clinical Treatment and Rehabilitation for Veterans with Traumatic Brain Injury and Psychological Health Problems
- Charles E Gaudet, Grant L Iverson, Emily J Lubin, Lauren H Brenner, Ross Zafonte, Mary A Iaccarino
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 115-116
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Objective:
Some active-duty military service members and veterans experience combinations of persistent traumatic stress, depression, suicidal ideation, anger, aggressive behavior, substance misuse, sleep disturbance, complicated grief, moral injury, headaches and migraines, chronic bodily pain, and cognitive weakness or deficits. The purpose of this study is to describe the clinical outcomes of active-duty service members and veterans who have completed the traumatic brain injury (TBI) and brain health track of a two-week intensive clinical treatment and rehabilitation program.
Participants and Methods:The sample included 141 participants, with a history of TBI, in the Intensive Clinical Program (ICP). The ICP is a multidisciplinary, two-week treatment and rehabilitation program for active duty service members and veterans with complex psychological, cognitive, and physical health concerns. The program is comprised of daily individual therapy, group psychotherapy, psychoeducation, skills-building groups, and complementary and alternative medicine treatments. Participants in the ICP completed the following measures prior to initiating treatment and immediately following completion of treatment: Neurobehavioral Symptom Inventory (NSI), Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5), Patient Health Questionnaire-9 (PHQ-9), Self-Efficacy for Symptom Management Scale (SE-SMS), and Patient-Reported Outcomes Measurement Information System (PROMIS)-Satisfaction with Participation in Social Roles and Activities-Short Form 8a, version 1.0 (PROMIS-S). Wilcoxon signed ranks tests were used to examine differences in scores on self-report measures from pretreatment to posttreatment for the full sample and within three subgroups stratified by age (in years: 20-34; 35-45; and 46-66). For the NSI, changes in the proportion of participants endorsing moderate or worse levels of individual symptoms from pretreatment to posttreatment were assessed using McNemar’s tests. Alpha levels were set at p<0.05 for all analyses.
Results:Participants reported statistically significant improvements across all of the administered measures (NSI, PCL-5, PHQ-9, PROMIS-S, and SE-SMS) upon conclusion of treatment. Effect sizes ranged from medium to large (d=0.34-1.04) for the full sample. Effect sizes were largely consistent across age subgroups (20-34: d=0.32-1.05; 35-45: d=0.55-0.96; 46-66: d=0.28-1.05). The magnitude of change on the SE-SMS appeared to be less with increasing age (20-34: d=1.05; 35-45: d=0.69; 46-66: d=0.28). Individual item analyses for the NSI revealed statistically significant reductions in the proportion of participants endorsing moderate or greater severity from pretreatment to posttreatment for 18 of 22 symptoms.
Conclusions:Active duty service members and veterans participating in the two-week TBI and brain health intensive clinical program reported considerable symptom reduction at the conclusion of the program. Further research is indicated to assess the durability of symptom reduction.
Improving the prospective prediction of a near-term suicide attempt in veterans at risk for suicide, using a go/no-go task
- Catherine E. Myers, Chintan V. Dave, Michael Callahan, Megan S. Chesin, John G. Keilp, Kevin D. Beck, Lisa A. Brenner, Marianne S. Goodman, Erin A. Hazlett, Alexander B. Niculescu, Lauren St. Hill, Anna Kline, Barbara H. Stanley, Alejandro Interian
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- Journal:
- Psychological Medicine / Volume 53 / Issue 9 / July 2023
- Published online by Cambridge University Press:
- 28 July 2022, pp. 4245-4254
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Background
Neurocognitive testing may advance the goal of predicting near-term suicide risk. The current study examined whether performance on a Go/No-go (GNG) task, and computational modeling to extract latent cognitive variables, could enhance prediction of suicide attempts within next 90 days, among individuals at high-risk for suicide.
Method136 Veterans at high-risk for suicide previously completed a computer-based GNG task requiring rapid responding (Go) to target stimuli, while withholding responses (No-go) to infrequent foil stimuli; behavioral variables included false alarms to foils (failure to inhibit) and missed responses to targets. We conducted a secondary analysis of these data, with outcomes defined as actual suicide attempt (ASA), other suicide-related event (OtherSE) such as interrupted/aborted attempt or preparatory behavior, or neither (noSE), within 90-days after GNG testing, to examine whether GNG variables could improve ASA prediction over standard clinical variables. A computational model (linear ballistic accumulator, LBA) was also applied, to elucidate cognitive mechanisms underlying group differences.
ResultsOn GNG, increased miss rate selectively predicted ASA, while increased false alarm rate predicted OtherSE (without ASA) within the 90-day follow-up window. In LBA modeling, ASA (but not OtherSE) was associated with decreases in decisional efficiency to targets, suggesting differences in the evidence accumulation process were specifically associated with upcoming ASA.
ConclusionsThese findings suggest that GNG may improve prediction of near-term suicide risk, with distinct behavioral patterns in those who will attempt suicide within the next 90 days. Computational modeling suggests qualitative differences in cognition in individuals at near-term risk of suicide attempt.