Cargando…

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

BACKGROUND: Simulation-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 confi...

Descripción completa

Detalles Bibliográficos
Autores principales: Melson, Eka, Davitadze, Meri, Aftab, Manal, Ng, Cai Ying, Ooi, Emma, Blaggan, Parisha, Chen, Wentin, Hanania, Thia, Thomas, Lucretia, Zhou, Dengyi, Chandan, Joht Singh, Senthil, Latha, Arlt, Wiebke, Sankar, Sailesh, Ayuk, John, Karamat, Muhammad Ali, Kempegowda, Punith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437058/
https://www.ncbi.nlm.nih.gov/pubmed/32811488
http://dx.doi.org/10.1186/s12909-020-02190-6
_version_ 1783572586924343296
author Melson, Eka
Davitadze, Meri
Aftab, Manal
Ng, Cai Ying
Ooi, Emma
Blaggan, Parisha
Chen, Wentin
Hanania, Thia
Thomas, Lucretia
Zhou, Dengyi
Chandan, Joht Singh
Senthil, Latha
Arlt, Wiebke
Sankar, Sailesh
Ayuk, John
Karamat, Muhammad Ali
Kempegowda, Punith
author_facet Melson, Eka
Davitadze, Meri
Aftab, Manal
Ng, Cai Ying
Ooi, Emma
Blaggan, Parisha
Chen, Wentin
Hanania, Thia
Thomas, Lucretia
Zhou, Dengyi
Chandan, Joht Singh
Senthil, Latha
Arlt, Wiebke
Sankar, Sailesh
Ayuk, John
Karamat, Muhammad Ali
Kempegowda, Punith
author_sort Melson, Eka
collection PubMed
description BACKGROUND: Simulation-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. METHODS: This 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. RESULTS: 70.8% (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. CONCLUSION: SIMBA 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.
format Online
Article
Text
id pubmed-7437058
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74370582020-08-20 Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology Melson, Eka Davitadze, Meri Aftab, Manal Ng, Cai Ying Ooi, Emma Blaggan, Parisha Chen, Wentin Hanania, Thia Thomas, Lucretia Zhou, Dengyi Chandan, Joht Singh Senthil, Latha Arlt, Wiebke Sankar, Sailesh Ayuk, John Karamat, Muhammad Ali Kempegowda, Punith BMC Med Educ Research Article BACKGROUND: Simulation-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. METHODS: This 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. RESULTS: 70.8% (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. CONCLUSION: SIMBA 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. BioMed Central 2020-08-18 /pmc/articles/PMC7437058/ /pubmed/32811488 http://dx.doi.org/10.1186/s12909-020-02190-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Melson, Eka
Davitadze, Meri
Aftab, Manal
Ng, Cai Ying
Ooi, Emma
Blaggan, Parisha
Chen, Wentin
Hanania, Thia
Thomas, Lucretia
Zhou, Dengyi
Chandan, Joht Singh
Senthil, Latha
Arlt, Wiebke
Sankar, Sailesh
Ayuk, John
Karamat, Muhammad Ali
Kempegowda, Punith
Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
title Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
title_full Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
title_fullStr Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
title_full_unstemmed Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
title_short Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
title_sort simulation via instant messaging-birmingham advance (simba) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437058/
https://www.ncbi.nlm.nih.gov/pubmed/32811488
http://dx.doi.org/10.1186/s12909-020-02190-6
work_keys_str_mv AT melsoneka simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT davitadzemeri simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT aftabmanal simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT ngcaiying simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT ooiemma simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT blagganparisha simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT chenwentin simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT hananiathia simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT thomaslucretia simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT zhoudengyi simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT chandanjohtsingh simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT senthillatha simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT arltwiebke simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT sankarsailesh simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT ayukjohn simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT karamatmuhammadali simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology
AT kempegowdapunith simulationviainstantmessagingbirminghamadvancesimbamodelhelpedimprovecliniciansconfidencetomanagecasesindiabetesandendocrinology