Articles: pandemics.
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Croatian medical journal · Feb 2024
SARS-CoV-2 infection among physicians over time in Ontario, Canada: a population-based retrospective cohort study.
To assess this risk of SARS-CoV-2 infection among Ontario physicians by specialty and in comparison with non-physician controls during the COVID-19 pandemic. ⋯ Physicians had higher rates of infection than community-matched controls during the first two waves of the pandemic in Ontario, but not from wave 3 onward. Physicians practicing in long-term care facilities and pediatricians were more likely to test positive for SARS-CoV-2 than other physicians.
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The coronavirus disease 2019 (COVID-19) pandemic disrupted U.S. Military operations and potentially compounded the risk for adverse mental health outcomes by layering unique occupational stress on top of general restrictions, fears, and concerns. The objective of the current study was to characterize the prevalence of COVID-19 concerns and information needs, demographic disparities in these outcomes, and the degree to which COVID-19 concerns and information needs were associated with heightened risk for adverse mental health outcomes among U.S. Army soldiers. ⋯ COVID-19 concerns and information needs were prevalent and showed little evidence of decrement over the course of the first 6 months of the pandemic. COVID-19 concerns were consistently associated with adverse mental health outcomes. These data highlight two targets and potential demographic subgroups such that local leadership and Army medicine and public health enterprises can be better prepared to monitor and address to maintain force health and readiness in the face of possible future biomedical threats.
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A small body of research conducted mostly among civilians has shown that adequate training and preparation can prevent or reduce the development of behavioral health problems in first responders. Several civilian studies have shown that social support is protective against behavioral health problems. However, very few studies have examined the impact of these factors on the behavioral health of military first responders. Military first responders, who serve in the aftermath of natural disasters and disease outbreaks such as the coronavirus disease 2019 (COVID-19) pandemic, are often members of the National Guard (NG). The purpose of this study was to examine the impact of mortuary affairs training/handling human remains, role preparation, equipment preparation, and unit social support provided to families on the behavioral health of New York (NY) NG personnel deployed to assist the NY Office of Chief Medical Examiner with handling the remains of COVID-19 decedents. ⋯ Our research points to the importance of emotionally and cognitively preparing service members for the specific dynamics of a deployment and the roles that that they are expected to play. Furthermore, it suggests that supporting the families of NG personnel during domestic missions can benefit the behavioral health of the NG personnel. Additional research is needed to corroborate these findings, particularly the impact of unit support provided to family members on service members' behavioral health.
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Hospital medicine, a specialty encompassing physicians and advanced practice providers in internal medicine, pediatrics, and family medicine, has been a core and rapidly growing component of civilian health care for the past two decades. More recently, hospitalists have been taking on key roles during surge and contingency planning and operations, most notably during the COVID-19 pandemic which necessitated marked changes in inpatient care across the United States. The military health system has been slower to incorporate hospitalists into clinical care and planning than civilian organizations due to its unique features. ⋯ To demonstrate this capability, we present here the experience of two operational units employing hospitalists for high acuity patient management and two civilian hospitals implementing surge operations during the 2022-2023 "tripledemic" of viral respiratory infections in the United States. Their innovations facilitated the care of higher acuity and higher volume during times when medical care requirements were limited by traditional staffing models. We end by reviewing opportunities and challenges related to expanding hospitalist use within the military health system and describing efforts that are underway to address the challenges.
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Machine learning (ML) models for predicting 72-hour unscheduled return visits (URVs) for patients with abdominal pain in the emergency department (ED) were developed in a previous study. This study refined the data to adjust previous prediction models and evaluated the model performance in future data validation during the COVID-19 era. We aimed to evaluate the practicality of the ML models and compare the URVs before and during the COVID-19 pandemic. ⋯ Among these models, the VC model showed the most favorable, balanced, and comprehensive performance. Despite the promising results, the study illuminated challenges in predictive modeling, such as the unforeseen influences of global events, such as the COVID-19 pandemic. These findings not only highlight the significant potential of machine learning in augmenting emergency care but also underline the importance of iterative refinement in response to changing real-world conditions.