Evidence map›Paper›PMID 37330493›Full record

ArticleBMC medical education2023

Assessing predictors of students' academic performance in Ethiopian new medical schools: a concurrent mixed-method study.

Hafte Teklay Gebru, Daniëlle Verstegen

Open access · goldAbstract read
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Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
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

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Hafte Teklay GebruDepartment of Biomedical Sciences, College of Health Sciences, Aksum University, P.O.Box: 298, Axum, Ethiopia. haftishkind@gmail.com.
Daniëlle VerstegenSchool of Health Professions Education, Maastricht University, Maastricht, the Netherlands.
Aksum University · ETMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 2012 the Ethiopian Federal Ministry of Health and Education implemented a new medical curriculum in 13 institutions. The new curriculum introduced some questions on its admission policy: students can join with different educational backgrounds. Students' performance on qualifying exams and grade point average are lower than desired. Therefore, the aim of the study was to investigate what factors predict the academic performance of students in the New Medical Education Initiative in Ethiopia.

methodsA concurrent mixed method of survey and qualitative was used; for the survey, a structured self-administered questionnaire was distributed to students of four randomly selected medical schools from December 2018 to January 2019. The questionnaire includes questions about socio-demographic and educational background of participants. Multiple linear regression analysis was used in order to identify the factors associated with academic performance. In-depth interviews were conducted with 15 key informants to explore qualitatively.

resultsIn the multiple linear regressions, stress was associated with lower academic performance. Students with prior education in the field of health science outperformed students with other bachelors. The cumulative grade point average of the previous bachelor degree and the score on the entrance exam to join medicine also significantly predicted performance. Although some more variables are identified from the qualitative interviews, its findings supported the survey results.

conclusionsOf the number of predictor variables analyzed in the model, only stress, prior educational degree, performance in the prior degree and entrance exam score were significantly correlated with the performance of students in their preclinical medical engagement.

Indexed as

Academic PerformanceStudents, MedicalCohort StudiesEducational MeasurementHumansSchools, MedicalStudentsAcademic PerformanceMedical educationNMEI

Identifiers

PMID37330493
PMCPMC10276416
OpenAlexW4381052510

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.