Military medicine
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Musculoskeletal injuries are one of the primary causes of Soldiers' inability to be medically ready, comprising over 80% of such causes. The electronic profile (e-Profile) is the way that musculoskeletal injuries are documented so that commanders will know the type of injury as well as the length of the time that the Soldier will need limited duty. A previous study of e-Profiles in an Army MTF Integrated Pain Management Center showed that the median length of an e-Profile was 30 days. It is in the best interest of the Army to have the Soldier out of the fight the minimum amount of time for recovery to ensure the unit readiness. The goal of this study was to utilize e-Profile data to see if a machine learning model can be developed to determine the appropriate time a Soldier needs to be on profile for a given diagnoses. ⋯ The 3 models (linear regression, decision trees, and RF) studied as part of this project did not predict the days on e-Profile with a high degree of certainty. Future research will focus on adding additional data to the e-Profile dataset in order to improve model accuracy.
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Traumatic brain injury (TBI) can impact language processing, necessitating language-tailored approaches. Telehealth may expand rural Veterans' access but has unknown feasibility for language preferences. This study explored telehealth/Veterans Video Connect satisfaction for Spanish/English TBI screening. ⋯ Patients conveyed positive experiences, but qualitative data revealed actionable targets for optimization like infrastructure and coordination improvements. Key limitations include small samples and lack of comparison to in-person care. Still, high satisfaction coupled with specific user feedback highlights telehealth's potential while directing enhancements. The results found high Veteran satisfaction with Spanish/English TBI telehealth, but mixed methods illuminated salient domains for better accommodating user needs, particularly regarding logistics and technology. Rigorously integrating experiences with metrics over expanded diverse samples and modalities can further guide refinements to enhance telehealth with a language-tailored approach.
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The condition of trauma patients and the urgent need for timely resuscitation present unique challenges to trauma teams. These difficulties are exacerbated for military trauma teams in combat environments. Consequently, there is a need for continued improvement of nontechnical skills (NTS) training for trauma teams. However, current approaches to NTS assessment rely on subjective ratings, which can introduce bias. Accordingly, objective methods of NTS evaluation are needed. Eye-tracking (ET) methods have been applied to studying communication, situation awareness, and leadership in many health care settings, and could be applied to studying physicians' NTS during trauma situations. In this study, we aimed to assess the relationship between trauma team leaders' objective gaze patterns and subjective expert NTS ratings during patient care simulations. ⋯ This study utilized a mixed methods approach to assess trauma team leaders' NTS in simulated acute care trauma simulations. Our results provide several objective insights into trauma team leaders' NTS behaviors during patient care simulations. Such objective insights provide a more comprehensive understanding of NTS behaviors and can be leveraged to guide NTS training of trauma physicians in the future. More studies are needed to apply these methods to capture NTS from a larger sample of teams in both simulated and real trauma environments.
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Suicidal ideation and attempts are considered to be graduated risks for suicide, yet they remain under studied. Suicide is among the leading causes of death in the U.S. for all individuals between the ages of 10 and 64 years. Suicide is a critical problem in the U.S. Military. The U.S. Army suicide rates surpassed civilian rates in 2008 and continue to climb steadily; with U.S. Army soldiers at more than twice the risk than U.S. civilians, and enlisted personnel at more than twice the risk of officers. Suicidal ideation and attempts are routinely reported within U.S. Army brigades using suicide-related serious incident reports (SR-SIRs). These reports could form a useful source of information for prevention planning, but to date there have been no efforts to summary these reports. This paper analyzes SR-SIRs among enlisted personnel for a 4-year period for 1 Army brigade, to test the usefulness of this information and to explore whether risk factors for attempts compared to ideation can be identified. ⋯ The study can help inform unit-specific suicide prevention and intervention strategies. Off duty hours and alcohol use are risk factors for attempts, particularly among soldiers who have sought behavioral health care. Plans to engage and support soldiers who have sought behavioral health care during off duty hours, and information regarding the risks of alcohol use, could meaningfully reduce their risk. This is the first known attempt to examine active duty U.S. Army brigade combat team SR-SIRs, and they are a potentially valuable source of health and mental health-related information.
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Auditory disabilities like tinnitus and hearing loss caused by exposure to blast overpressures are prevalent among military service members and veterans. The high-pressure fluctuations of blast waves induce hearing loss by injuring the tympanic membrane, ossicular chain, or sensory hair cells in the cochlea. The basilar membrane (BM) and organ of Corti (OC) behavior inside the cochlea during blast remain understudied. A computational finite element (FE) model of the full human ear was used by Bradshaw et al. (2023) to predict the motion of middle and inner ear tissues during blast exposure using a 3-chambered cochlea with Reissner's membrane and the BM. The inclusion of the OC in a blast transmission model would improve the model's anatomy and provide valuable insight into the inner ear response to blast exposure. ⋯ This microscale model is the first FE model of the OC to be connected to a macroscale model of the ear, forming a full multiscale ear model, and used to predict the OC's behavior under blast. Future work with this model will incorporate cochlear endolymphatic fluid, increase the number of OHC rows to 19 in total, and use the results of the model to reliably predict the sensorineural hearing loss resulting from blast exposure.