Literature DB >> 29355068

Predicting performance of junior doctors: Association of workplace based assessment with demographic characteristics, emotional intelligence, selection scores, and undergraduate academic performance.

Sandra E Carr1, Antonio Celenza2, Annette M Mercer1, Fiona Lake2, Ian B Puddey2.   

Abstract

INTRODUCTION: Predicting workplace performance of junior doctors from before entry or during medical school is difficult and has limited available evidence. This study explored the association between selected predictor variables and workplace based performance in junior doctors during their first postgraduate year.
METHODS: Two cohorts of medical students (n = 200) from one university in Western Australia participated in the longitudinal study. Pearson correlation coefficients and multivariate analyses utilizing linear regression were used to assess the relationships between performance on the Junior Doctor Assessment Tool (JDAT) and its sub-components with demographic characteristics, selection scores for medical school entry, emotional intelligence, and undergraduate academic performance.
RESULTS: Grade Point Average (GPA) at the completion of undergraduate studies had the most significant association with better performance on the overall JDAT and each subscale. Increased age was a negative predictor for junior doctor performance on the Clinical management subscale and understanding emotion was a predictor for the JDAT Communication subscale. Secondary school performance measured by Tertiary Entry Rank on entry to medical school score predicted GPA but not junior doctor performance. DISCUSSION: The GPA as a composite measure of ability and performance in medical school is associated with junior doctor assessment scores. Using this variable to identify students at risk of difficulty could assist planning for appropriate supervision, support, and training for medical graduates transitioning to the workplace.

Mesh:

Year:  2018        PMID: 29355068     DOI: 10.1080/0142159X.2018.1426840

Source DB:  PubMed          Journal:  Med Teach        ISSN: 0142-159X            Impact factor:   3.650


  3 in total

1.  Medical student selection criteria and junior doctor workplace performance.

Authors:  Ruth M Sladek; Christine Burdeniuk; Alison Jones; Kevin Forsyth; Malcolm J Bond
Journal:  BMC Med Educ       Date:  2019-10-21       Impact factor: 2.463

2.  Does Emotional Intelligence at medical school admission predict future licensing examination performance?

Authors:  Timothy J Wood; Susan Humphrey-Murto; Geneviève Moineau; Melissa Forgie; Derek Puddester; John J Leddy
Journal:  Can Med Educ J       Date:  2020-03-16

3.  Predictors of performance on the pediatric board certification examination.

Authors:  Osamu Nomura; Hirotaka Onishi; Yoon Soo Park; Nobuaki Michihata; Tohru Kobayashi; Kazunari Kaneko; Tetsushi Yoshikawa; Akira Ishiguro
Journal:  BMC Med Educ       Date:  2021-02-22       Impact factor: 2.463

  3 in total

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