Evidence map›Paper›PMID 32811488›Full record

ArticleBMC medical education2020

Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians' confidence to manage cases in diabetes and endocrinology.

Eka Melson, Meri Davitadze, Manal Aftab, Cai Ying Ng, Emma Ooi, Parisha Blaggan, Wentin Chen, Thia Hanania, Lucretia Thomas, Dengyi Zhou and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2020. 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
3.1field-weighted citation impact, top 8% of its field
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, 25 citations in OpenAlex.

  1. Article
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  3. Importance of simulation-based medical education and its application in diabetology.Pediatric endocrinology, diabetes, and metabolism · 2024
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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

17 authors at 5 institutions in 3 countries.

Eka MelsonInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Meri DavitadzeClinic "Cardio", Tbilisi, Georgia.
Manal AftabUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Cai Ying NgRCSI & UCD Malaysia Campus, George Town, Malaysia.
Emma OoiRCSI & UCD Malaysia Campus, George Town, Malaysia.
Parisha BlagganUniversity of Birmingham Medical School, Birmingham, UK.
Wentin ChenUniversity of Birmingham Medical School, Birmingham, UK.
Thia HananiaUniversity of Birmingham Medical School, Birmingham, UK.
Lucretia ThomasUniversity of Birmingham Medical School, Birmingham, UK.
Dengyi ZhouUniversity of Birmingham Medical School, Birmingham, UK.
Joht Singh ChandanInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Latha SenthilUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Wiebke ArltInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Sailesh SankarDiabetes and Endocrinology Specialist Training Committee, Health Education West Midlands, Birmingham, UK.
John AyukUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Muhammad Ali KaramatDiabetes and Endocrinology Specialist Training Committee, Health Education West Midlands, Birmingham, UK.
Punith KempegowdaInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK. p.kempegowda@bham.ac.uk.ORCID http://orcid.org/0000-0003-0954-6512
University Hospitals Birmingham NHS Foundation Trust · GBUniversity of Birmingham · GBHealth Education England · GBRCSI & UCD Malaysia Campus · MYAIDS and Clinical Immunology Research Center · GE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimulation-based learning (SBL) has been increasingly used in both undergraduate and postgraduate medical training curricula. The aim of Simulation via Instant Messaging-Birmingham Advance (SIMBA) is to create a simple virtual learning environment to improve trainees' self-reported confidence in diabetes and Endocrinology.

methodsThis study was done as part of the continuous professional development for Health Education England West Midlands speciality trainees in diabetes and Endocrinology. Standardized transcripts of anonymized real-life endocrinology (endocrine session) and diabetes cases (diabetes session) were used in the simulation model. Trainees interacted with moderators through WhatsApp® in this model. All cases were then discussed in detail by a consultant endocrinologist with reference to local, national and international guidelines. Trainee acceptance rate and improvement in their self-reported confidence levels post-simulation were assessed.

results70.8% (n = 17/24) and 75% (n = 18/24) strongly agreed the simulation session accommodated their personal learning style and the session was engaging. 66.7% (n = 16/24) strongly felt that the simulation was worth their time. In the endocrine session, there was a significant improvement in trainees' confidence in the management of craniopharyngioma (p = 0.0179) and acromegaly (p = 0.0025). There was a trend towards improved confidence levels to manage Cushing's disease and macroprolactinoma. In diabetes session, there was a significant improvement in trainees' confidence to interpret continuous glucose monitor readings (p = 0.01). There was a trend towards improvement for managing monogenic diabetes, hypoglycaemic unawareness and interpreting Libre readings. Overall, there was a significant improvement in trainees' confidence in managing cases that were discussed post-simulation.

conclusionSIMBA is an effective learning model to improve trainees' confidence to manage various diabetes and endocrine case scenarios. More sessions with a variety of other speciality case scenarios are needed to further assess SIMBA's effectiveness and application in other areas of medical training.

Indexed as

Diabetes MellitusEndocrinologyClinical CompetenceCurriculumEnglandHumans

Identifiers

PMID32811488
PMCPMC7437058
OpenAlexW3065144029

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.