Literature DB >> 18588648

Cohort study on predicting grades: is performance on early MBChB assessments predictive of later undergraduate grades?

Jennifer A Cleland1, Andrew Milne, Hazel Sinclair, Amanda J Lee.   

Abstract

OBJECTIVE: Timely intervention, based on early identification of poor performance, is likely to help weaker medical students improve their performance. We wished to identify if poor performance in degree assessments early in the medical degree predicts later undergraduate grades. If it does, this information could be used to signpost strategically placed supportive interventions for our students.
METHODS: We carried out a retrospective, observational study of anonymised databases of student assessment outcomes at the University of Aberdeen Medical School. Data were accessed for students who graduated in the years 2003-07 (n = 861). The main outcome measure was marks for summative degree assessments from the end of Year 2 to the end of Year 5.
RESULTS: After adjustment for cohort, maturity, gender, funding source, intercalation and graduate status, poor performance (fail and borderline pass) in the Year 2 first semester written examination Principles of Medicine II was found to be a significant predictor of poor performance in all subsequent written examinations (all P < 0.001). Poor performance in the Year 3 objective structured clinical examination (OSCE) was a significant predictor of poor performance in Year 4 and 5 OSCEs. Relationships between essay-based summative assessments were not significantly predictive. Male gender appeared to significantly predict poor performance. DISCUSSION: Examinations taken as early as mid-Year 2 can be used to identify medical students who would benefit from intervention and support. Strategic delivery of appropriate intervention at this time may enable poorer students to perform better in subsequent examinations. We can then monitor the impact of remedial support on subsequent performance.

Mesh:

Year:  2008        PMID: 18588648     DOI: 10.1111/j.1365-2923.2008.03037.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  9 in total

1.  Development of a 'toolkit' to identify medical students at risk of failure to thrive on the course: an exploratory retrospective case study.

Authors:  Janet Yates
Journal:  BMC Med Educ       Date:  2011-11-18       Impact factor: 2.463

2.  Risk factors associated with academic difficulty in an Australian regionally located medical school.

Authors:  Bunmi S Malau-Aduli; Teresa O'Connor; Robin A Ray; Yolanda van der Kruk; Michelle Bellingan; Peta-Ann Teague
Journal:  BMC Med Educ       Date:  2017-12-28       Impact factor: 2.463

3.  Associations between demographic factors and the academic trajectories of medical students in Japan.

Authors:  Nobutoshi Nawa; Mitsuyuki Numasawa; Mina Nakagawa; Masayo Sunaga; Takeo Fujiwara; Yujiro Tanaka; Atsuhiro Kinoshita
Journal:  PLoS One       Date:  2020-05-18       Impact factor: 3.240

4.  Guidelines: The dos, don'ts and don't knows of remediation in medical education.

Authors:  Calvin L Chou; Adina Kalet; Manuel Joao Costa; Jennifer Cleland; Kalman Winston
Journal:  Perspect Med Educ       Date:  2019-12

5.  Identifying and supporting students at risk of failing the National Medical Licensure Examination in Japan using a predictive pass rate.

Authors:  Koji Tsunekawa; Yasuyuki Suzuki; Toshiki Shioiri
Journal:  BMC Med Educ       Date:  2020-11-10       Impact factor: 2.463

6.  Investigating the risk factors for academic difficulties in the medical programme at a South African university.

Authors:  Sfiso Emmanuel Mabizela; Judith Bruce
Journal:  BMC Med Educ       Date:  2022-03-28       Impact factor: 2.463

7.  Early Pre-clerkship Clinical Skills Assessments Predict Clerkship Performance.

Authors:  Lindsay C Strowd; Hong Gao; Donna M Williams; Timothy R Peters; Jennifer Jackson
Journal:  Med Sci Educ       Date:  2022-03-01

8.  Gender differences in repeat-year experience, clinical clerkship performance, and related examinations in Japanese medical students.

Authors:  Nobuyasu Komasawa; Fumio Terasaki; Ryo Kawata; Takashi Nakano
Journal:  Medicine (Baltimore)       Date:  2022-08-19       Impact factor: 1.817

9.  Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis.

Authors:  Shona Fielding; Paul Alexander Tiffin; Rachel Greatrix; Amanda J Lee; Fiona Patterson; Sandra Nicholson; Jennifer Cleland
Journal:  BMJ Open       Date:  2018-10-08       Impact factor: 2.692

  9 in total

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