Evidence map›Paper›PMID 35346178›Full record

ArticleBMC medical education2022

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

Sfiso Emmanuel Mabizela, Judith Bruce

Abstract read
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Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sfiso Emmanuel MabizelaCentre for Health Science Education, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. Sfiso.mabizela@wits.ac.za.
Judith BruceSchool of Therapeutic Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe National Benchmark Test (NBT) that determines academic readiness is widely used by Faculties as an additional measure to select students for the study of medicine. Despite this, many students continue to experience academic challenges that culminate in delayed graduation and sometimes academic exclusion or discontinuation of studies.

aimThis study aimed to understand academic and non-academic variables linked with academic difficulties in the first three years of medical education.

methodsThe study sample consisted of six cohorts of medical students for the period 2011 to 2016 (n = 1392). Only the first three of the six-year medical programme were selected for analysis. Survival analysis and Cox Proportional Hazard (CPH) was used to identify academic and non-academic variables associated with academic difficulties.

resultsA total of 475 students (34%) experienced academic difficulty; 221 (16%) in the first year of study, 192 (14%) in the second year and 62 (5%) in the third year of study. The results show that Intermediate Upper, Lower and Basic levels for all NBT domains, living in university residence, rurality and male gender were risk factors for academic difficulty.

conclusionIn mitigating these factors, the NBT must inform the type of support programmes to augment the students' skills and promote academic success. Additionally, existing support programmes should be evaluated to ascertain if they reach students at risk and whether participating in these programmes yield positive academic outcomes.

Indexed as

Students, MedicalBlack PeopleHumansMaleRisk FactorsSouth AfricaUniversitiesAcademic difficultiesMedical studentsNBTRisk factors

Identifiers

PMID35346178
PMCPMC8962061

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.