Purpose: This study explores the mental health and well-being, overall job satisfaction, likelihood to leave position, and perceptions of job satisfiers and stressors and dissatisfiers in a national sample of program and institutional coordinators in graduate medical education (GME).
Method: Between August and September 2022, 11,887 program and institutional coordinators and managers with email addresses listed in the Accreditation Council for Graduate Medical Education database were emailed a survey link. The survey queried mental health using the Patient Health Questionnaire 8 depression scale, Generalized Anxiety Disorder 7, and a 2-item burnout scale derived from the Maslach Burnout Inventory; overall satisfaction with work; likelihood to leave work; and drivers of satisfaction and dissatisfaction.
Aim: The EarLy Surveillance for Autoimmune (ELSA) study aims to explore the feasibility and acceptability of UK paediatric general population screening for type 1 diabetes.
Methods: We aim to screen 20,000 children aged 3-13 years for islet-specific autoantibodies through dried blood spot sample collection at home, hospital or community settings. Children with two or more autoantibodies are offered metabolic staging via oral glucose challenge testing.
Virtual interviews play a crucial role in the ranking process. National Resident Matching Program (NRMP) data shows a median number of 23.5 interviews per applicant.
View Article and Find Full Text PDFObjectives: Long cardiopulmonary bypass times are associated with adverse postoperative outcomes and increased healthcare resource use. It is likely that this effect is pronounced in smaller patients. Previous studies have been criticized for not taking into consideration that prolonged bypass times are often due to higher complexity.
View Article and Find Full Text PDFPolygenic indices (PGI)-the new recommended label for polygenic scores (PGS) in social science-are genetic summary scales often used to represent an individual's liability for a disease, trait, or behavior based on the additive effects of measured genetic variants. Enthusiasm for linking genetic data with social outcomes and the inclusion of premade PGIs in social science datasets have facilitated increased uptake of PGIs in social science research-a trend that will likely continue. Yet, most social scientists lack the expertise to interpret and evaluate PGIs in social science research.
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