ABSTRACT
INTRODUCTION: The Department of Defense Medical Examination Review Board (DoDMERB) plays a pivotal role in the assessment of medical fitness for aspiring military officers. A crucial component of this process is the screening audiogram, designed to evaluate hearing capabilities. However, recent observations of high disqualification rates following screening audiograms led to concerns about their accuracy. MATERIALS AND METHODS: This quality improvement project, conducted between 2017 and 2019, aimed to assess the concordance between screening audiograms and reference-standard audiometry, as well as to investigate the relationship between disqualification status and hearing thresholds at different frequencies. A sample of 134 candidates, drawn from various locations across the United States, was analyzed. RESULTS: Results revealed that the screening audiogram mean thresholds were twice that of the reference-standard audiogram, particularly in the lower frequencies. Additionally, we found that 84% of candidates were incorrectly disqualified by the screening exam when followed up by the reference-standard. Overall, Bland-Altman analysis revealed significant disagreement between these two tests. This discrepancy prompted a fundamental policy shift in 2020, where candidates who fail screening audiograms now automatically undergo reference-standard audiometry before any disqualification decision. This policy change reflects the commitment of DoDMERB to refining the medical screening process. It reduces the burden on candidates, provides a more comprehensive assessment, and ensures that qualified individuals are not erroneously disqualified.In addition to policy changes, this quality improvement project explored potential courses of action to enhance the screening audiogram process. Among these, improving contract specifications for testing facilities to minimize ambient noise emerged as the most practical and cost-effective approach. CONCLUSION: In conclusion, the project underscores the importance of refining medical screening processes to accurately assess candidates' qualifications while retaining the utility of screening audiograms. These efforts not only benefit aspiring military officers but also contribute to maintaining the high standards required for military service.
ABSTRACT
This research follows the Updated Guidelines for Evaluating Public Health Surveillance Systems, Recommendations from the Guidelines Working Group, published by the Centers for Disease Control and Prevention nearly a decade ago. Since then, models have been developed and complex systems have evolved with a breadth of disparate data to detect or forecast chemical, biological, and radiological events that have a significant impact on the One Health landscape. How the attributes identified in 2001 relate to the new range of event-based biosurveillance technologies is unclear. This article frames the continuum of event-based biosurveillance systems (that fuse media reports from the internet), models (ie, computational that forecast disease occurrence), and constructs (ie, descriptive analytical reports) through an operational lens (ie, aspects and attributes associated with operational considerations in the development, testing, and validation of the event-based biosurveillance methods and models and their use in an operational environment). A workshop was held in 2010 to scientifically identify, develop, and vet a set of attributes for event-based biosurveillance. Subject matter experts were invited from 7 federal government agencies and 6 different academic institutions pursuing research in biosurveillance event detection. We describe 8 attribute families for the characterization of event-based biosurveillance: event, readiness, operational aspects, geographic coverage, population coverage, input data, output, and cost. Ultimately, the analyses provide a framework from which the broad scope, complexity, and relevant issues germane to event-based biosurveillance useful in an operational environment can be characterized.
