Evidence map›Paper›PMID 40575496›Full record

ArticleJournal of education and health promotion2025

The development and effectiveness of ability based model intervention on emotional intelligence in final year medical students: A randomized control trial.

Nan N Than, Htoo H K Soe, Adinegara B L Abas, Krishna G Rampal, Jarina Begum, Rafidah Bahari

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper 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

6 authors.

Nan N ThanCentre for Research and Graduate Studies, University of Cyberjaya, Cyberjaya, Malaysia.
Htoo H K SoeDepartment of Community Medicine, Manipal University College Malaysia, Melaka, Malaysia.
Adinegara B L AbasDepartment of Community Medicine, Manipal University College Malaysia, Melaka, Malaysia.
Krishna G RampalCentre for Research and Graduate Studies, University of Cyberjaya, Cyberjaya, Malaysia.
Jarina BegumDepartment of Community Medicine, Manipal Tata Medical College, Jamshedpur, Jharkhand, India.
Rafidah BahariFaculty of Medical Sciences, Newcastle University Medicine Malaysia, Iskandar Puteri, Johor Darul Ta'zim, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTeaching and assessment of emotional intelligence (EI) is not a part of the current curriculum and is learned by the students only by wilful and passive observation. Emotional intelligence (EI) is a cognitive ability required to monitor one's capability of effectively controlling one's own emotions and other's feelings and discriminate among them, to use this information to guide one's thinking and actions. This randomized control study investigates the development and effectiveness of an ability-based model intervention aimed at enhancing emotional intelligence (EI) and determining EI's correlation with academic achievement in final-year medical students. MATERIALS AND

methodsEighty-four final-year medical students were randomly assigned in two groups. The validated ability-based EI training module was introduced to the intervention group and involved in four-hour teaching sessions using a facilitated teaching format. The study employed validated measures Schutte Self-Report Emotional Intelligence Test (SSEIT) for Malaysian students to assess emotional intelligence domains before and after the intervention. Portfolio defense total marks were used as an academic achievement.

resultsThere was an improvement in emotional intelligence among the intervention group, with mean (131.06) and mean difference (95%CI), 1.07 (.327 -1.815),

conclusionThis research underscores the potential efficacy of an ability-based model intervention in fostering emotional intelligence development among medical students. The implications of improved emotional intelligence in undergraduate medical students are discussed, emphasizing the relevance of incorporating targeted interventions into medical education for the holistic preparation of future inclusion in the medical curriculum.

Indexed as

Ability-based EI teaching moduleacademic achievementmedical educationSSEIT score

Identifiers

PMID40575496
PMCPMC12200001

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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.