Introduction: Medical schools employ various tools to select suitable medical students (MS). This study investigated whether MS who were admitted through multiple mini-interviews (MMI) and MS who were admitted through Taiwan's Joint College Entrance Written Test (JCEWT) differed in their characteristics.
Methods And Subjects: First-year MS from seven medical schools completed a semi-structured questionnaire that inquired into their channel of admission (MMI or JCEWT), gender, location (metropolitan or rural), high school type (public or private), parents' socioeconomic status (SES), and motivations to study medicine.
Results: In total, 513 MS participated, 493 (96%) returned valid questionnaires, and 397 were enrolled in the study, (MMI group: 205 MS; JCEWT group: 192 MS). Irrespective of channel of admission, most MS came from metropolitan areas (80%-86%), belonged to high-SES families (73%-76%), and had mixed motivations (51%-96%). Female applicants, private school leavers, and those who were less motivated by the physician's SES were more likely to be selected through the MMI channel than the JCEWT channel.
Conclusion: Irrespective of the channels of entry, MS had similar demographics and motivations for studying medicine. MS selected through MMI had different characteristics than those selected through a JCEWT.
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http://dx.doi.org/10.1080/0142159X.2021.1902965 | DOI Listing |
Med J Malaysia
January 2025
National University of Malaysia, Faculty of Medicine, Department of Medicine, Kuala Lumpur, Malaysia.
Introduction: Stroke is a major cause of morbidity and mortality worldwide. While electroencephalography (EEG) offers valuable data on post-stroke brain activity, qualitative EEG assessments may be misinterpreted. Therefore, we examined the potential of quantitative EEG (qEEG) to identify key band frequencies that could serve as potential electrophysiological biomarkers in stroke patients.
View Article and Find Full Text PDFBMJ Open
December 2024
Institute for Cardio-Metabolic Medicine, University Hospital Coventry & Warwickshire NHS Trust, University of Warwick Medical School and Coventry University, Coventry, UK
Objective: To estimate the resource use of patients with obstructive hypertrophic cardiomyopathy (HCM), stratified by New York Heart Association (NYHA) class, in the English and Northern Irish healthcare systems via expert elicitation.
Design: Modified Delphi framework methodology.
Setting: UK HCM secondary care centres (n=24).
Front Cardiovasc Med
December 2024
Department of Critical Care Medicine, Cheeloo College of Medicine, Qilu Hospital (Qingdao), Shandong University, Qingdao, Shandong, China.
Introduction: Cardiac arrest during pregnancy is receiving increasing attention. However, there are few reports on cardiac arrest in nonpregnant women caused by abnormal uterine bleeding (AUB). We report a case in which extracorporeal cardiopulmonary resuscitation (ECPR) was used in a patient with cardiac arrest caused by AUB and coronary vasospasm.
View Article and Find Full Text PDFWorld J Cardiol
December 2024
Department of Cardiovascular Medicine, Affiliated Hospital of Inner Mongolia University for Nationalities, Tongliao 028000, Inner Mongolia Autonomous Region, China.
Background: Ventricular arrhythmia is a common type of arrhythmia observed in clinical practice. It is primarily characterized by premature ventricular contractions, ventricular tachycardia, and ventricular fibrillation. Abnormal formation or transmission of cardiac electrical impulses in patients affects cardiac ejection function.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Neurosurgery, The Huadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.
Aim: This study aimed to evaluate the association between serum calcium level and the risk of acute kidney injury (AKI) in patients with subarachnoid hemorrhage (SAH).
Methods: In this retrospective cohort study, data on adults from the Medical Information Mart for Intensive Care (MIMIC-III and MIMIC-IV) databases, spanning from 2008 to 2019, were extracted. In the logistic regression models, confounding variables, including age, white blood cell (WBC), systolic blood pressure (SBP), heart rate, blood urea nitrogen (BUN), glucose, international normalized ratio (INR), and the Charlson Comorbidity Index (CCI), were finally adjusted by stepwise regression.
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