Evidence map›Paper›PMID 40809412›Full record

ArticleFrontiers in medicine2025

Burnout in healthcare education programs and English as a Medium of Instruction: the dark side of the language of instruction.

Munassir Alhamami

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers 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

1 author.

Munassir AlhamamiDepartment of English, Faculty of Languages and Translation, King Khalid University, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current research findings show that students in healthcare education programs face high levels of burnout. When English is used as the Medium of Instruction (EMI), non-native speakers experience added linguistic strain, increasing their stress, cognitive overload, and emotional exhaustion. Purpose: This study explores the relationship between EMI and student burnout in undergraduate healthcare education programs in Saudi universities. It examines how EMI affects students' emotional well-being, academic engagement, and sense of efficacy. Methods: A mixed-methods approach was used. Quantitative data were collected from 213 students using a burnout scale measuring four constructs: exhaustion, cynicism, academic efficacy, and disengagement. Qualitative data were gathered from open-ended responses, with thematic analysis guided by Maslach's burnout framework. Results: Quantitative results showed high levels of exhaustion and disengagement, while cynicism and reduced efficacy were at moderate levels. Strong correlations were found between burnout dimensions, particularly between exhaustion, cynicism, and disengagement. Qualitative findings revealed that EMI caused emotional exhaustion due to linguistic overload, academic detachment from repeated failure, and reduced self-confidence in students' academic skills. Many students expressed frustration, identity loss, and a desire to withdraw from their programs due to the use of EMI. Conclusion: The findings indicate that EMI can contribute significantly to student burnout in healthcare education. Without adequate language support and institutional adjustments, EMI may negatively affect students' mental health, academic performance, and motivation. The study calls for more inclusive EMI practices that address students' linguistic needs while protecting their well-being and academic success.

Indexed as

academic stressburnoutEnglish as a Medium of Instruction (EMI)healthcare educationlanguage barriersSaudi Arabiastudent engagement

Identifiers

PMID40809412
PMCPMC12343542

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.