Evidence map›Paper›PMID 35081161›Full record

Trial reportPloS one2022

Effects of problem-based learning modules within blended learning courses in medical statistics - A randomized controlled pilot study.

Zoran Bukumiric, Aleksandra Ilic, Mirjana Pajcin, Dragana Srebro, Sasa Milicevic, Dragan Spaic, Nenad Markovic, Aleksandar Corac

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2022. 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
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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

8 authors.

Zoran BukumiricUniversity of Belgrade, Faculty of Medicine, Belgrade, Serbia.ORCID 0000-0002-7609-4504
Aleksandra IlicFaculty of Medicine, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia.
Mirjana PajcinFaculty of Medicine, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia.
Dragana SrebroUniversity of Belgrade, Faculty of Medicine, Belgrade, Serbia.
Sasa MilicevicFaculty of Medicine, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia.
Dragan SpaicFaculty of Medicine, University of East Sarajevo, Foca, The Republic of Srpska, Bosnia and Herzegovina.
Nenad MarkovicFaculty of Medicine, University of East Sarajevo, Foca, The Republic of Srpska, Bosnia and Herzegovina.
Aleksandar CoracFaculty of Medicine, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Problem-based learning (PBL) allows students to learn medical statistics through problem solving experience. The aim of this study was to assess the efficiency of PBL modules implemented in the blended learning courses in medical statistics through knowledge outcomes and student satisfaction. The pilot study was designed as a randomized controlled trial that included 53 medical students who had completed all course activities. The students were randomized in two groups: the group with access to PBL modules within the blended learning course (hPBL group) and the group without access to PBL modules-only blended learning course (BL group). There were no significant differences between the groups concerning socio-demographic characteristics, previous academic success and modality of access to course materials. Students from hPBL group had a significantly higher problem solving score (p = 0.012; effect size 0.69) and the total medical statistics score (p = 0,046; effect size 0.57). Multivariate regression analysis with problem solving as an outcome variable showed that problem solving was associated with being in hPBL group (p = 0.010) and having higher grade point average (p = 0.037). Multivariate regression analysis with the medical statistics score as an outcome variable showed the association between a higher score on medical statistics with access to PBL modules (p = 0.045) and a higher grade point average (p = 0.021). All students in hPBL group (100.0%) considered PBL modules useful for learning medical statistics. PBL modules can be easily implemented in the existing courses within medical statistics using the Moodle platform, they have high applicability and can complement, but not replace other forms of teaching. These modules were shown to be efficient in learning, to be well accepted among students and to be a potential missing link between teaching and learning medical statistics. The authors of this study are planning to create PBL modules for advanced courses in medical statistics and to conduct this study on other universities with a more representative study sample, with the aim to overcome the limitations of the existing study and confirm its results.

Indexed as

BiostatisticsEducation, MedicalProblem-Based LearningStudents, MedicalFemaleHumansMalePilot Projects

Identifiers

PMID35081161
PMCPMC8791522

What OpenQuestion holds

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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.