Medicine and Health Sciences Commons^™

Assessment Of Work-Integrated Learning: Comparison Of The Usage Of A Grading Rubric By Supervising Radiographers And Teachers, Andrew Kilgour, Peter W. Kilgour, Tania Gerzina, Beverly J. Christian

Peter Kilgour

Introduction

Professional work-integrated learning (WIL) that integrates the academic experience with off-campus professional experience placements is an integral part of many tertiary courses. Issues with the reliability and validity of assessment grades in these placements suggest that there is a need to strengthen the level of academic rigour of placements in these programmes. This study aims to compare the attitudes to the usage of assessment rubrics of radiographers supervising medical imaging students and teachers supervising pre-service teachers.

Methods

WIL placement assessment practices in two programmes, pre-service teacher training (Avondale College of Higher Education, NSW) and medical diagnostic radiography (Faculty of …

Measuring Your Research Impact: Citation And Altmetrics Tools, Amanda Izenstark, Julia Lovett, Andrée Rathemacher

Julia Lovett

Slides from a presentation, "Measuring Your Research Impact: Citation and Altmetrics Tools," offered at the Association of Rhode Island Health Sciences Libraries (ARIHSL) Business Meeting on March 16, 2016. The meeting took place at the Miriam Hospital in Providence, Rhode Island.

Predicting Medical Student Success On Licensure Exams, Charles A. Gullo, Michael J. Mccarthy, Joseph I. Shapiro, Bobby L. Miller

Michael McCarthy

Many schools seek to predict performance on national exams required for medical school graduation using prematriculation and medical school performance data. The need for targeted intervention strategies for at-risk students has led much of this interest. Assumptions that preadmission data and high stakes in-house medical exams correlate strongly with national standardized exam performance needs to be examined. Looking at prematriculation data for predicting USMLE Step 1 performance, we found that MCAT exam totals and math-science GPA had the best prediction from a set of prematriculation values (adjusted R 2 = 11.7 %) for step 1. The addition of scores from …

Predicting Medical Student Success On Licensure Exams, Charles A. Gullo, Michael J. Mccarthy, Joseph I. Shapiro, Bobby L. Miller

Joseph I Shapiro MD

Many schools seek to predict performance on national exams required for medical school graduation using prematriculation and medical school performance data. The need for targeted intervention strategies for at-risk students has led much of this interest. Assumptions that preadmission data and high stakes in-house medical exams correlate strongly with national standardized exam performance needs to be examined. Looking at prematriculation data for predicting USMLE Step 1 performance, we found that MCAT exam totals and math-science GPA had the best prediction from a set of prematriculation values (adjusted R 2 = 11.7 %) for step 1. The addition of scores from …

Predicting Medical Student Success On Licensure Exams, Charles A. Gullo, Michael J. Mccarthy, Joseph I. Shapiro, Bobby L. Miller

Charles Gullo

Many schools seek to predict performance on national exams required for medical school graduation using prematriculation and medical school performance data. The need for targeted intervention strategies for at-risk students has led much of this interest. Assumptions that preadmission data and high stakes in-house medical exams correlate strongly with national standardized exam performance needs to be examined. Looking at prematriculation data for predicting USMLE Step 1 performance, we found that MCAT exam totals and math-science GPA had the best prediction from a set of prematriculation values (adjusted R 2 = 11.7 %) for step 1. The addition of scores from …

Predicting Medical Student Success On Licensure Exams, Charles A. Gullo, Michael J. Mccarthy, Joseph I. Shapiro, Bobby L. Miller

Bobby L. Miller

Many schools seek to predict performance on national exams required for medical school graduation using prematriculation and medical school performance data. The need for targeted intervention strategies for at-risk students has led much of this interest. Assumptions that preadmission data and high stakes in-house medical exams correlate strongly with national standardized exam performance needs to be examined. Looking at prematriculation data for predicting USMLE Step 1 performance, we found that MCAT exam totals and math-science GPA had the best prediction from a set of prematriculation values (adjusted R 2 = 11.7 %) for step 1. The addition of scores from …

We Don't Miter The Corners On The Sheets On The Bed: Understanding The Preceptor Role In Nursing Enculturation, Susan Strouse, Emily Haan

Susan Strouse, PhD, RN

Designing Osce Scoring Instrument With Built-In Validity Features Based On A Comprehensive Measurement Framework: Principles & Guidelines, Elina Tor, Carole Steketee, Donna Mak, Jane Courtney, Heidi Waldron, Chris Skinner

Elina Tor

Using A Peer Supervision And Mentoring Model In The Supervision Of Final Year Medical Students Placements In The Solomon Islands, Janie D. Smith

Janie Smith

Makira Island in the Solomon Islands has a population of over 41,000 people, which in 2013 was serviced by one doctor, who worked in the hospital and travelled to remote sites, supported by highly-skilled nursing staff. The capital Kira Kira is a very impoverished community with no formal governance structure, poor infrastructure and a large variety of public health issues that lead to fascinating medicine. In 2013 Bond University’s School of Medicine in Australia commenced 5th year medical student placements at Kira Kira Hospital, with 33 students participating. At times there was little if no direct medical supervision of the …