Simulation via Instant Messaging-Birmingham Advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology

Research output: Contribution to journalArticlepeer-review

Authors

  • Meri Davitadze
  • Manal Aftab
  • Cai Ying Ng
  • Emma Ooi
  • Parisha Blaggan
  • Wentin Chen
  • Thia Hanania
  • Lucretia Thomas
  • Dengyi Zhou
  • Joht Chandan
  • Latha Senthil
  • Sailesh Sankar
  • John Ayuk

Colleges, School and Institutes

Abstract

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.

Details

Original languageEnglish
Article number274
JournalBMC Medical Education
Volume20
Publication statusPublished - 18 Aug 2020

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