Evidence map›Paper›PMID 36973779›Full record

ArticleBMC medical education2023

Multiple mini-interviews is a predictor of students' academic achievements in early undergraduate medical years: a retrospective study.

Faiza Alam, Ya Chee Lim, Li Ling Chaw, Fazean Idris, Kenneth Yuh Yen Kok

Open access · goldFull text read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Faiza AlamPAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, Bandar Seri Begawan, BE1410, Negara Brunei Darussalam. faiza.alam@ubd.edu.bn.
Ya Chee LimPAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, Bandar Seri Begawan, BE1410, Negara Brunei Darussalam.
Li Ling ChawPAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, Bandar Seri Begawan, BE1410, Negara Brunei Darussalam.
Fazean IdrisPAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, Bandar Seri Begawan, BE1410, Negara Brunei Darussalam.
Kenneth Yuh Yen KokPAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, Bandar Seri Begawan, BE1410, Negara Brunei Darussalam.
Universiti Brunei Darussalam · BN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study determined Multiple Mini-Interview (MMI) effectiveness in evaluating specific skill sets based on medical students' performances during the undergraduate years and compared the academic performances of medical students who appeared for onsite/online MMI.

methodsA retrospective study of 140 undergraduate medical students between 2016 and 2020 included data on age, gender, pre-university results, MMI scores, and examination results. Appropriate non-parametric tests were applied to compare the students' MMI and academic performances.

resultsNinety-eight students from cohorts 12 to 15 had an overall MMI score of 69.0(IQR: 65.0-73.2)/100 and an overall Cumulative Grade Point Average(GPA) of 3.64 (3.42-3.78)/5.0. Spearman's correlation revealed a significantly positive relationship between MMI and cGPA (rho = 0.23) and GPA from the first 2 semesters (GPA1 rho = 0.25, GPA2 rho = 0.27). This observation was similar to that for station A in the first year (cGPA rho = 0.28, GPA1 rho = 0.34, GPA2 rho = 0.24), and in station B (GPA4 rho = 0.25) and D (GPA3 rho = 0.28, GPA4 rho = 0.24) in the second year. Of twenty-nine cohort16 students, 17(58.6%) underwent online and 12(41.4%) offline modes of MMI assessment, respectively. The overall median MMI score was 66.6(IQR: 58.6-71.6)/100, and the overall median cGPA was 3.45 (3.23-3.58)/5.0. When comparing the median marks of cohort16 groups, the online group scored significantly higher marks for station D than the offline group (p = 0.040).

conclusionCorrespondence between MMI scores and cGPA predicted MMI scoring during student selection and entry process might ensure the success of their academic performance in medical school.

Indexed as

Academic PerformanceAcademic SuccessStudents, MedicalHumansRetrospective StudiesSchool Admission CriteriaSchools, MedicalAcademic performancesMedical studentsMultiple mini-interviewOnlineOnsite

Identifiers

PMID36973779
PMCPMC10044430
OpenAlexW4361018522

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read2
measurements read3
Read underepoch 390

Registered trials

None linked

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.