Background: Indo-US Masters in Emergency Medicine (MEM) certification courses are rigorous three-year emergency medicine (EM) training courses that operate as a partnership between affiliate hospitals or universities in the United States with established EM training programs and local partner sites in India. Throughout their 15 years of operation, these global training partnerships have contributed to the EM workforce in India. Our objective in this study was to describe Indo-US MEM program graduates, their work environments, and their contribution to the growth of academic EM and to the coronavirus disease 2019 (COVID-19) response.
Methods: An electronic survey was created by US and Indian MEM course stakeholders and distributed to 714 US-affiliated MEM program graduates. The survey questions investigated where graduates were working, their work environments and involvement in teaching and research, and their involvement in the COVID-19 response. We consolidated the results into three domains: work environment and clinical contribution; academic contribution; and contribution to the COVID-19 response.
Results: The survey response rate was 46.9% (335 responses). Most graduates reported working within India (210, 62.7%) and in an emergency department (ED) setting (304, 91.0%). The most common reason for practicing outside of India was difficulty with formal MEM certificate recognition within India (97, 79.5%). Over half of graduates reported dedicating over 25% of their work hours to teaching others about EM (223, 66.6%), about half reported presenting research projects at conferences on the regional, national, or international level (168, 50.5%), and almost all graduates were engaged in treating COVID-19 patients during the pandemic (333, 99.4%). Most graduates agreed or strongly agreed that they were satisfied with their overall MEM training (296, 88.4%) and confident in their ability to practice EM (306, 91.6%).
Conclusion: Indo-US MEM graduates have made a notable contribution to EM in India through clinical service delivery, teaching, and research, even more essential in the context of the COVID-19 pandemic. The roles of these graduates should be acknowledged and can contribute further to expand EM specialty and systems development across India.
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http://dx.doi.org/10.5811/westjem.59912 | DOI Listing |
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January 2025
Graduate School of Medicine, Mie University, Tsu, Japan.
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December 2024
Center for Quantum Information, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea and Division of Quantum Information Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Korea.
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December 2024
CERN, Geneva, Switzerland.
High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Initiative for the Theoretical Sciences and CUNY-Princeton Center for the Physics of Biological Function, The Graduate Center, CUNY, New York, New York 10016, USA.
The random-energy model (REM), a solvable spin-glass model, has impacted an incredibly diverse set of problems, from protein folding to combinatorial optimization, to many-body localization. Here, we explore a new connection to secret sharing. We derive an analytic expression for the mutual information between any two disjoint thermodynamic subsystems of the REM.
View Article and Find Full Text PDFPLoS One
January 2025
Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei City, Taiwan.
Background And Objective: Relevant research has provided valuable insights into risk factors for bicycle crashes at intersections. However, few studies have focused explicitly on three common types of bicycle crashes on road segments: overtaking, rear-end, and door crashes. This study aims to identify risk factors for overtaking, rear-end, and door crashes that occur on road segments.
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