Evidence map›Paper›PMID 39934793›Full record

ArticleBMC medical education2025

Effectiveness of a hybrid, obesity-specific counselling programme in improving medical students' self-efficacy and motivational interviewing skills for paediatric obesity counselling.

Wang Chin Eileen Ng, Rachana Koura, Khairunisa Binte Khaider, Chu Shan Elaine Chew, Courtney Davis

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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.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wang Chin Eileen NgMOH Holdings, 1 North Buona Vista Link, #09-01 Elementum, Singapore, 139691, Singapore. ng.wang.ce@mohh.com.sg.
Rachana KouraAdolescent Medicine Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Rd, Singapore, 229899, Singapore.
Khairunisa Binte KhaiderAdolescent Medicine Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Rd, Singapore, 229899, Singapore.
Chu Shan Elaine Chew *Adolescent Medicine Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Rd, Singapore, 229899, Singapore.
Courtney Davis *Adolescent Medicine Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Rd, Singapore, 229899, Singapore.

Funding

AMEI Education Grant 2109
6 · The paper itself

Abstract

backgroundThere remain significant barriers to healthcare providers counselling children with obesity and their families on lifestyle modifications to improve health outcomes. Obesity-specific counselling training aims to overcome some of these barriers by equipping healthcare workers with the knowledge and confidence to initiate behaviour change talk with patients. However, to the best of our knowledge, there is currently no obesity-specific counselling training in all medical schools in Singapore. To address this gap, an obesity-specific hybrid training programme was developed for medical students in Singapore, which encompassed e-learning materials on paediatric obesity and motivational interviewing techniques as well as simulated patient exercises. We aim to evaluate the impact of the programme on medical students' self-efficacy for obesity counselling and motivational interviewing skills, as well as establish participants' acceptability of the module.

methodsThe medical students' self-efficacy for patient-centered obesity counselling before and after reviewing the online materials was measured using the Perceived Competence for Obesity Counselling (PCOC), while their motivational interviewing skills were evaluated using the Behaviour Change Counselling Index (BECCI) based on feedback from trained facilitators.

resultsThere was significant improvement in the medical students' self-efficacy for obesity counselling and motivational interviewing skills after participating in the online module, as measured on the PCOC and BECCI respectively. The training programme was also well-received among participants, with mean scores of more than 4 out of 5 on all items on the evaluation form.

conclusionOur findings support the introduction of such short obesity-specific counselling workshops in medical school curricula as they can be effective in preparing medical students to manage childhood obesity, and potentially other chronic conditions in children and adults, as junior physicians.

Indexed as

CounselingEducation, Medical, UndergraduateMotivational InterviewingPediatric ObesitySelf EfficacyStudents, MedicalChildClinical CompetenceCurriculumFemaleHumansMaleSingaporeBehavioural changeCounsellingMedical studentsMotivational interviewingPaediatric obesity

Identifiers

PMID39934793
PMCPMC11817560

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LicenceCC BY-NC-ND
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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.