Evidence map›Paper›PMID 41039385›Full record

ArticleBMC medical education2025

Navigating challenges in healthcare education: perspectives from ethnic minority students.

Mei Fung Florence Wong, Jasvir Kaur Jessie Dhaliwal

Abstract read
In one paragraph

Article in BMC medical education, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Mei Fung Florence WongTung Wah College, Hong Kong, China. florencewong@twc.edu.hk.
Jasvir Kaur Jessie DhaliwalTung Wah College, Hong Kong, China.

Funding

Tung Wah College CRG2022/10
6 · The paper itself

Abstract

backgroundThe enrollment of ethnic minority students in healthcare professional programmes has been increasing. However, current curricula are primarily designed for students from the majority culture, potentially overlooking the unique learning challenges faced by ethnic minority students. This study aims to explore these challenges to better understand their learning experience.

methodsThis phenomenological qualitative study utilized face-to-face focus group interviews with 16 ethnic minority students enrolled in healthcare programmes at tertiary professional training institutions.

resultsFour key themes emerged (1) Language barriers resulting in heavy workload and stress, (2) Restriction in social network and interactions, (3) Stereotypes towards ethnic minorities, and (4) Obstacles related to maintaining religious faith. These themes highlight significant barriers that hinder learning engagement and social integration, adversely impacting academic and clinical performance.

conclusionThe findings highlight the imperative for institutional reforms to create an equitable learning environment. Four strategies include implementing targeted language support programmes to alleviate academic pressures, fostering peer mentorship initiatives to enhance social integration, incorporating anti-bias training to address stereotypes, and developing faith-sensitive policies and facilities. These evidence-based interventions not only support ethnic minority students' success but also cultivate cultural competence across healthcare education, ultimately strengthening the inclusivity of the profession.

Indexed as

EthnicityMinority GroupsAdultCommunication BarriersCultural CompetencyFemaleFocus GroupsHumansMaleQualitative ResearchStereotypingYoung AdultChallengesEthnic minority studentsFocus group interviewsPhenomenological studyProfessional healthcare programmes

Identifiers

PMID41039385
PMCPMC12492566

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.