Publications by authors named "I Lichtwark"

Article Synopsis
  • The study aimed to evaluate the effectiveness of different selection tools used by medical schools to predict student success in completing their training and passing key exams.
  • Data from 3,378 students across five Australian and New Zealand medical schools were analyzed, focusing on scores from prior academic achievement, the UMAT test, and selection interviews.
  • Results indicated that prior academic achievement had the strongest predictive value for successful outcomes, while a non-compensatory selection algorithm may offer benefits in some institutions.
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Introduction: The impact of medical student psychological distress on academic performance has not been systematically examined. This study provided an opportunity to closely examine the potential impacts of workplace and study related stress factors on student's psychological distress and their academic performance during their first clinical year.

Methods: This one-year prospective cohort study was performed at a tertiary hospital based medical school in Melbourne, Australia.

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Background: Simulation-based programs are increasingly being used to teach obstetrics and gynaecology examinations, but it is difficult to establish student learning acquired through them. Assessment may test student learning but its role in learning itself is rarely recognised. We undertook this study to assess medical and midwifery student learning through a simulation program using a pre-test and post-test design and also to evaluate use of assessment as a method of learning.

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An undersupply of generalists doctors in rural communities globally led to widening participation (WP) initiatives to increase the proportion of rural origin medical students. In 2002 the Australian Government mandated that 25% of commencing Australian medical students be of rural origin. Meeting this target has largely been achieved through reduced standards of entry for rural relative to urban applicants.

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