Cargando…

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

BACKGROUND: Despite the highly selective admission processes utilised by medical schools, a significant cohort of medical students still face academic difficulties and are at a higher risk of delayed graduation or outright dismissal. METHODS: This study used survival analysis to identify the non-aca...

Descripción completa

Detalles Bibliográficos
Autores principales: Malau-Aduli, Bunmi S., O’Connor, Teresa, Ray, Robin A., Kerlen, Yolanda, Bellingan, Michelle, Teague, Peta-Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745748/
https://www.ncbi.nlm.nih.gov/pubmed/29282058
http://dx.doi.org/10.1186/s12909-017-1095-9
_version_ 1783288966517096448
author Malau-Aduli, Bunmi S.
O’Connor, Teresa
Ray, Robin A.
Kerlen, Yolanda
Bellingan, Michelle
Teague, Peta-Ann
author_facet Malau-Aduli, Bunmi S.
O’Connor, Teresa
Ray, Robin A.
Kerlen, Yolanda
Bellingan, Michelle
Teague, Peta-Ann
author_sort Malau-Aduli, Bunmi S.
collection PubMed
description BACKGROUND: Despite the highly selective admission processes utilised by medical schools, a significant cohort of medical students still face academic difficulties and are at a higher risk of delayed graduation or outright dismissal. METHODS: This study used survival analysis to identify the non-academic and academic risk factors (and their relative risks) associated with academic difficulty at a regionally located medical school. Retrospective non-academic and academic entry data for all medical students who were enrolled at the time of the study (2009–2014) were collated and analysed. Non-academic variables included age at commencement of studies, gender, Indigenous status, origin, first in family to go to University (FIF), non-English speaking background (NESB), socio-economic status (SES) and rurality expressed as Australian Standard Geographical Classification-Remoteness Area (ASGC-RA). Academic variables included tertiary entrance exam score expressed as overall position (OP) and interview score. In addition, post-entry mid- and end-of-year summative assessment data in the first and second years of study were collated. RESULTS: The results of the survival analysis indicated that FIF, Indigenous and very remote backgrounds, as well as low post-entry Year 1 (final) and Year 2 (mid-year and final) examination scores were strong risk factors associated with academic difficulty. A high proportion of the FIF students who experienced academic difficulty eventually failed and exited the medical program. Further exploratory research will be required to identify the specific needs of this group of students in order to develop appropriate and targeted academic support programs for them. CONCLUSIONS: This study has highlighted the need for medical schools to be proactive in establishing support interventions/strategies earlier rather than later, for students experiencing academic difficulty because, the earlier such students can be flagged, the more likely they are able to obtain positive academic outcomes.
format Online
Article
Text
id pubmed-5745748
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-57457482018-01-03 Risk factors associated with academic difficulty in an Australian regionally located medical school Malau-Aduli, Bunmi S. O’Connor, Teresa Ray, Robin A. Kerlen, Yolanda Bellingan, Michelle Teague, Peta-Ann BMC Med Educ Research Article BACKGROUND: Despite the highly selective admission processes utilised by medical schools, a significant cohort of medical students still face academic difficulties and are at a higher risk of delayed graduation or outright dismissal. METHODS: This study used survival analysis to identify the non-academic and academic risk factors (and their relative risks) associated with academic difficulty at a regionally located medical school. Retrospective non-academic and academic entry data for all medical students who were enrolled at the time of the study (2009–2014) were collated and analysed. Non-academic variables included age at commencement of studies, gender, Indigenous status, origin, first in family to go to University (FIF), non-English speaking background (NESB), socio-economic status (SES) and rurality expressed as Australian Standard Geographical Classification-Remoteness Area (ASGC-RA). Academic variables included tertiary entrance exam score expressed as overall position (OP) and interview score. In addition, post-entry mid- and end-of-year summative assessment data in the first and second years of study were collated. RESULTS: The results of the survival analysis indicated that FIF, Indigenous and very remote backgrounds, as well as low post-entry Year 1 (final) and Year 2 (mid-year and final) examination scores were strong risk factors associated with academic difficulty. A high proportion of the FIF students who experienced academic difficulty eventually failed and exited the medical program. Further exploratory research will be required to identify the specific needs of this group of students in order to develop appropriate and targeted academic support programs for them. CONCLUSIONS: This study has highlighted the need for medical schools to be proactive in establishing support interventions/strategies earlier rather than later, for students experiencing academic difficulty because, the earlier such students can be flagged, the more likely they are able to obtain positive academic outcomes. BioMed Central 2017-12-28 /pmc/articles/PMC5745748/ /pubmed/29282058 http://dx.doi.org/10.1186/s12909-017-1095-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Malau-Aduli, Bunmi S.
O’Connor, Teresa
Ray, Robin A.
Kerlen, Yolanda
Bellingan, Michelle
Teague, Peta-Ann
Risk factors associated with academic difficulty in an Australian regionally located medical school
title Risk factors associated with academic difficulty in an Australian regionally located medical school
title_full Risk factors associated with academic difficulty in an Australian regionally located medical school
title_fullStr Risk factors associated with academic difficulty in an Australian regionally located medical school
title_full_unstemmed Risk factors associated with academic difficulty in an Australian regionally located medical school
title_short Risk factors associated with academic difficulty in an Australian regionally located medical school
title_sort risk factors associated with academic difficulty in an australian regionally located medical school
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745748/
https://www.ncbi.nlm.nih.gov/pubmed/29282058
http://dx.doi.org/10.1186/s12909-017-1095-9
work_keys_str_mv AT malauadulibunmis riskfactorsassociatedwithacademicdifficultyinanaustralianregionallylocatedmedicalschool
AT oconnorteresa riskfactorsassociatedwithacademicdifficultyinanaustralianregionallylocatedmedicalschool
AT rayrobina riskfactorsassociatedwithacademicdifficultyinanaustralianregionallylocatedmedicalschool
AT kerlenyolanda riskfactorsassociatedwithacademicdifficultyinanaustralianregionallylocatedmedicalschool
AT bellinganmichelle riskfactorsassociatedwithacademicdifficultyinanaustralianregionallylocatedmedicalschool
AT teaguepetaann riskfactorsassociatedwithacademicdifficultyinanaustralianregionallylocatedmedicalschool