Military medicine
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The U.S. Army Telemedicine and Advanced Technology Research Center Advanced Medical Technology Initiative (AMTI) demonstrate key emerging technologies related to military medicine. AMTI invites researchers to submit proposals for short-term funding opportunities that support this goal. AMTI proposal selection is guided by a time-intensive peer review process, where proposals are rated on innovation, military relevance, metrics for success, and return on investment. Utilizing machine learning (ML) could assist in proposal evaluations by learning relationships between proposal performance and proposal features. This research explores the viability of artificial intelligence/ML for predicting proposal ratings given content-based proposal features. Although not meant to replace experts, a model-based approach to evaluating proposal quality could work alongside experts to provide a fast, minimally biased estimate of proposal performance. This article presents initial stages of a project aiming to use ML to prioritize research proposals. ⋯ This research was the first stage of a larger project to explore the use of ML to predict proposal ratings for the purpose of providing automated support to proposal reviewers and to reveal the preferences and values of AMTI proposal reviewers and other decision-makers. The result of this work will provide practical insights regarding the review process for the AMTI program. This will facilitate reduction in bias for AMTI innovators and a streamlined and subjective process for AMTI administrators, which benefits the military health system overall.
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Randomized Controlled Trial Multicenter Study
Standardizing Attention Process Training-III for a Multisite Clinical Trial of Neuromodulation.
The Control Network Neuromodulation to Enhance Cognitive Training in Complex Traumatic Brain Injury (CONNECT-TBI) study is an ongoing randomized, double-blinded, sham-controlled multisite clinical trial to determine the enhancing effects of noninvasive neuromodulation when paired with cognitive training in military participants (Veterans and active duty) with mild TBI. Attention Process Training-III (APT-III) was selected for its strong evidence base, manualized procedures, and computerized program. However, many aspects of APT-III that make it ideal for personalization make it less ideal for reliable implementation across participants, clinicians/technicians, and sites. The purpose of this feature article is to highlight APT-III procedures that require additional standardization for reliable administration across participants and sites. ⋯ We have highlighted some of the major gray areas of APT-III administration so that fellow researchers can understand the need to take similar steps in clinical trials using APT-III. We provide examples of our standardization process and resultant rules and materials. Our algorithm, based on prior studies using the APT-III and our own iterative adjustments, allows for adjustment of the difficulty and speed of the training tasks (but within certain parameters) in order to achieve the best balance between individualization and consistency across participants and sites. We provide an example of a workflow and reporting process for future studies.
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Military exposures may present a cumulative load and increased individual susceptibility to negative health outcomes. Currently, there are no comprehensive and validated environmental exposure assessment tools covering the full spectrum of occupational and environmental exposures for Veterans. The Veterans Affairs (VA) War Related Illness and Injury Study Center in Washington, DC, developed the Veteran Military Occupational and Environmental Exposure Assessment Tool (VMOAT) to establish a structured, comprehensive self-report tool that captures military and non-military occupational and environmental exposures. The VMOAT is clinically insightful, modular, and flexible for adding novel exposures, meeting the needs of modern evolving threats and exposures in both clinical and research settings. This manuscript reviews the ongoing development and validation plans for the VMOAT. ⋯ VMOAT development supports the 2022 Promise to Address Comprehensive Toxics Act and fits into the existing VA exposure assessment approach as a standardized, comprehensive self-reported exposure assessment tool. It can be utilized as a stand-alone instrument or supplemented by clinician interviews in research or specialty evaluation programs. The collected VMOAT self-report information on military occupational and environmental exposures will allow direct evaluation with objective measures of exposure and health outcomes. These data outcomes have a high potential to guide the DoD and VA environmental exposure risk mitigation and risk communication efforts.
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Hearing loss among military personnel is a well-known challenge, reported as the second most common VA service-connected disability. Although most hearing loss occurs gradually, a subset occurs suddenly and significantly impacts quality of life and military readiness and is considered as a medical emergency. This study aims to evaluate the incidence of sudden hearing loss among different subpopulations within the military system to better identify at-risk groups. ⋯ Sudden hearing loss appears to occur more frequently in military personnel than in the civilian population. The increased incidence in senior officers is likely driven by increased age, though further evaluation into the discrepancies between reported incidence of hearing loss among enlisted service members and officers is warranted. Although military occupational specialty did not demonstrate any significant difference in incidence, for thus far unknown reasons those in the Air Force demonstrated increased rates of sudden hearing loss. Although other potentially at-risk groups were identified, focused efforts to better understand contributing factors to elevated incidence in senior officers and Air Force personnel will help to better mitigate the incidence and effects of sudden hearing loss.