Background: The Jahnigen Career Development Awards program was launched in 2002 with private funding and transformed into the Grants for Early Medical/Surgical Specialists' Transition to Aging Research (GEMSSTAR) program in 2011 through support from the National Institute on Aging and medical specialty professional societies. The Jahnigen/GEMSSTAR program has provided grants to early career physician-scientists from 10 surgical and related medical specialties to initiate and sustain research careers in the geriatric aspect of their discipline. From 2002 to 2016, there were 20 Jahnigen/GEMSSTAR recipients in emergency medicine (EM). The goal of this investigation was to examine the impact of Jahnigen/GEMSSTAR awards on careers of EM recipients and on development of academic geriatric EM.
Methods: We conducted an online survey of the 20 EM recipients from 2002 to 2016 and analyzed their academic productivity, research impact, career trajectory, and contributions to geriatric EM since receiving the award.
Results: All 20 Jahnigen/GEMSSTAR scholars completed the survey. Scholars have published a median of 33 peer-reviewed articles (interquartile range [IQR] = 10-97) since the award, with median annual publication rates of 4.5 (IQR = 1.6-7.0). All scholars had h-indices of 6 or more, with a median of 18 (IQR = 9-28). Jahnigen/GEMSSTAR scholars have served as principal investigator (PI) or co-PI on 126 grants since their award, with 90% having served as PI on at least one additional grant and 30% having received National Institutes of Health Career Development Awards. All scholars reported believing that the Jahnigen/GEMSSTAR was very helpful or helpful for career progress. Most (85%) reported ongoing contributions to geriatric EM in research, education, or administration.
Conclusions: After the Jahnigen/GEMSSTAR award, EM scholars have been highly academically productive and successful, and the award has been instrumental in their career development. Awardees have been critical to the development of geriatric EM.
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http://dx.doi.org/10.1111/acem.13396 | DOI Listing |
Am J Emerg Med
January 2025
Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.
Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.
Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.
Am J Emerg Med
January 2025
Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Emergency Department, Hospital Clínico Universitario, Gerencia Regional de Salud de Castilla y León, Valladolid, Spain.
Background: The study of the inclusion of new variables in already existing early warning scores is a growing field. The aim of this work was to determine how capnometry measurements, in the form of end-tidal CO2 (ETCO2) and the perfusion index (PI), could improve the National Early Warning Score (NEWS2).
Methods: A secondary, prospective, multicenter, cohort study was undertaken in adult patients with unselected acute diseases who needed continuous monitoring in the emergency department (ED), involving two tertiary hospitals in Spain from October 1, 2022, to June 30, 2023.
J Med Internet Res
January 2025
Institute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.
Background: Objective structured clinical examinations (OSCEs) are a widely recognized and accepted method to assess clinical competencies but are often resource-intensive.
Objective: This study aimed to evaluate the feasibility and effectiveness of a virtual reality (VR)-based station (VRS) compared with a traditional physical station (PHS) in an already established curricular OSCE.
Methods: Fifth-year medical students participated in an OSCE consisting of 10 stations.
JMIR AI
January 2025
Department of Radiology, Children's National Hospital, Washington, DC, United States.
Clin Infect Dis
January 2025
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Background: Existing risk evaluation tools underperform in predicting intensive care unit (ICU) admission for patients with the Coronavirus Disease 2019 (COVID-19). This study aimed to develop and evaluate an accurate and calculator-free clinical tool for predicting ICU admission at emergency room (ER) presentation.
Methods: Data from patients with COVID-19 in a nationwide German cohort (March 2020-January 2023) were analyzed.
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