The investigation of four technologies to assist in detecting mild to moderate traumatic brain injury of U.S. Military service members.

BACKGROUND: A standard, reliable, objective measure is needed for identifying individuals with mild to moderate traumatic brain injury (TBI). OBJECTIVE: The purpose of this study was to examine balance using an AMTI OR6-7 force platform (FP), neurocognition and mood using the Automated Neuropsychological Assessment Metric4 (ANAM4), blood flow comparisons using a Brain Acoustic Monitor (BAM), and voice using Voice Analysis software (VA) for screening service members for a mild to moderate TBI. METHODS: Active duty and retired service member volunteers (n = 88, 35 with a diagnosis of mild to moderate TBI and 53 who never had a TBI) completed an informed consent document, and evaluations using the four technologies. RESULTS: Development of a clinical prediction rule yielded two FP variables and one ANAM4 Mood Scale variable (vigor) as helpful in predicting the presence of a TBI. Assuming a 15% pre-test probability, these predictors yield a post-test probability of 75.7% for a positive result with any two or more measures being positive, and a post-test probability of 2.3% for a negative result with zero measures being positive. CONCLUSIONS: This study demonstrated the usefulness of a force platform and a self-reported mood scale for predicting presence of mild to moderate TBI.

If you want to know why students fail, just ask them.

One method to discover possible reasons why individuals fail academic training is to ask them. However, self-report information can be difficult to trust, especially if students are perceived as having something to lose if they are honest. The purpose of this study was to identify potential reasons students fail (or do well) in their training as reported by 4 groups: those who failed the program (F) (n=28) and a peer (F-P) (n=28); and those who passed with a grade of B or above (P) (n=101) and one of their peers (P-P) (n=32). Statistical analysis included chi-square test statistics and t tests with a P < .05. Only findings considered "external" to students are included here, including class structure and schedule, instructors and teaching, support systems, and sleep. Few differences were found between peer reports and self reports by students who passed or students who failed their program. On the positive side, both P and F students indicated they could get individual attention even with large classes, having good support systems, and bonding well with their unit. On the negative side, P and F students reported difficulty staying focused during long class hours, and F students felt teaching methods made it difficult to succeed and struggled with the fast pace of the course (P < .05). More than half of all students reported sleeping between 5 and 6 hours per night, but those who failed more often reported sleeping only 3 to 4 hours per night (P < .05). These findings highlight areas of organizational strength, as well as areas of difficulty for students, which will permit administrators to set goals and perhaps tailor their programs to reduce attrition.