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10.4997/JRCPE.2021.218

http://scihub22266oqcxt.onion/10.4997/JRCPE.2021.218
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34131679!ä!34131679

suck abstract from ncbi


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pmid34131679      J+R+Coll+Physicians+Edinb 2021 ; 51 (2): 168-172
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  • Utility of Simulation via Instant Messaging - Birmingham Advance (SIMBA) in medical education during COVID-19 pandemic #MMPMID34131679
  • Morgan G; Melson E; Davitadze M; Ooi E; Zhou D; Hanania T; Chen W; Thomas L; Allison I; Ding M; Blaggan P; Ng CY; Evans N; Warmington E; Radcliffe E; Soran V; Nirmal R; Boelaert K; Cooney R; Reddy-Kolanu V; Karavitaki N; Pathmakanthan S; Arlt W; Kempegowda P
  • J R Coll Physicians Edinb 2021[Jun]; 51 (2): 168-172 PMID34131679show ga
  • BACKGROUND: Simulation via Instant Messaging - Birmingham Advance (SIMBA) aimed to improve clinicians' confidence in managing various clinical scenarios during the COVID-19 pandemic. METHODS: Five SIMBA sessions were conducted between May and August 2020. Each session included simulation of scenarios and interactive discussion. Participants' self-reported confidence, acceptance, and relevance of the simulated cases were measured. RESULTS: Significant improvement was observed in participants' self-reported confidence (overall n = 204, p<0.001; adrenal n = 33, p<0.001; thyroid n = 37, p<0.001; pituitary n = 79, p<0.001; inflammatory bowel disease n = 17, p<0.001; acute medicine n = 38, p<0.001). Participants reported improvements in clinical competencies: patient care 52.0% (n = 106/204), professionalism 30.9% (n = 63/204), knowledge on patient management 84.8% (n = 173/204), systems-based practice 48.0% (n = 98/204), practice-based learning 69.6% (n = 142/204) and communication skills 25.5% (n = 52/204). CONCLUSION: SIMBA is a novel pedagogical virtual simulation-based learning model that improves clinicians' confidence in managing conditions across various specialties.
  • |*COVID-19[MESH]
  • |*Education, Distance[MESH]
  • |*Education, Medical[MESH]
  • |Clinical Competence[MESH]
  • |Curriculum[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |SARS-CoV-2[MESH]


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