Evidence map›Paper›PMID 38372518›Full record

Trial reportLa Tunisie medicale2023

Rania Ben Rabeh, Sonia Mazigh, Nada Missaoui, Sofien Atitallah, Salem Yahayoui, Samir Boukthir

Abstract readEnglish AbstractRandomized Controlled Trial
In one paragraph

Trial report in La Tunisie medicale, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Rania Ben RabehUniversity of Tunis El Manar, Faculty of Medicine of Tunis.
Sonia MazighUniversity of Tunis El Manar, Faculty of Medicine of Tunis.
Nada MissaouiUniversity of Tunis El Manar, Faculty of Medicine of Tunis.
Sofien AtitallahUniversity of Tunis El Manar, Faculty of Medicine of Tunis.
Salem YahayouiUniversity of Tunis El Manar, Faculty of Medicine of Tunis.
Samir BoukthirUniversity of Tunis El Manar, Faculty of Medicine of Tunis.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClinical reasoning (CR) is a core skill taught by medical schools. Clinical reasoning learning sessions (CRL) during hospital internship of externals in pediatrics was recently introduced in Faculty of Medicine of Tunis.

aimTo compare a case based self-directed learning (CBSDL) tool with CRL sessions in two groups of the students assigned to pediatric internship.

methodsWe conducted a randomized trial with draw of two groups: CRL group (students who attended the CRL session) and SDL group (students who received the CBSDL tool). Main judgment criterion was the final score obtained by the student at the test of sequential management problem (SMP). A docimological analysis of SMP test was performed.

resultsThe mean final score in CRL group and SDL group was 12.03±1.44 and 14.05±1.64, respectively (p <0.001). The scores obtained at the different steps of SMP test were significantly higher in SDL group. The difficulty p and discrimination D indices of the SPM test were 0.65 and 0.21, respectively. The agreement between the two correctors was very good since the intra-class correlation coefficient was 0.977. We analyzed the reliability of the test by measuring Cronbach's α coefficient which was 0.955.

conclusionCBSDL tool has allowed students to learn hypothetico-deductive reasoning. However, this tool must be supplemented by direct supervision at hospital internship to support CR.

Indexed as

Education, Medical, UndergraduateStudents, MedicalChildClinical CompetenceHumansLearningProblem SolvingReproducibility of Results

Identifiers

PMID38372518
PMCPMC11361299

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.