Searchable abstracts of presentations at key conferences in endocrinology

ea0090p609 | Diabetes, Obesity, Metabolism and Nutrition | ECE2023

Comparing performance of healthcare professionals from different training grades in SIMBA simulation-based training sessions

Zhou Dengyi , Pallathoor Balakrishnan Harshin , Warmington Emily , Elhariry Maiar , Ali Anisah , Ogiliev Tamzin , Malhotra Kashish , Soran Vina , Sakthivel Pavithra , Synn Cuen Pan Carina , and CoMICs Team SIMBA , Kempegowda Punith

Introduction: Simulation via Instant Messaging – Birmingham Advance (SIMBA) is a simulation-based training model shown to have increased clinicians’ confidence in managing cases in diabetes and endocrinology, as well as sustained clinical knowledge.1 Traditional simulation models have typically focussed on a specific group of healthcare professionals. We evaluated if there is a difference in performance between different training groups during SIMBA.<p...

ea0081p581 | Diabetes, Obesity, Metabolism and Nutrition | ECE2022

Comparing global rating scores from simulation-based diabetes and endocrine scenarios between healthcare professionals of high- and low- and middle-income countries

Abdi Zakee , Zhou Dengyi , Malhotra Kashish , Ali Anisah , Sheikh Jameela , Sakthivel Pavithra , Warmington Emily , Cuen Pan Carina Synn , Chen Wentin , Kaur Harjeet , Nirmal Rachel , Soran Vina , Allison Isabel , Evans Nia , Delson Dwi , Davitadze Meri , Kempegowda Punith , Simulation Simba

Background: Simulation via Instant Messaging - Birmingham Advance (SIMBA) is an online simulation learning modality designed to recreate clinical scenarios, allowing participants to increase their confidence in a safe environment without compromising patient safety. The global rating scale (GRS) is a commonly used assessment tool in medical schools to assess participant competence and skills. Following SIMBA sessions, an independent assessor anonymously scores participants&#14...

ea0086p63 | Metabolism, Obesity and Diabetes | SFEBES2022

Is SIMBA impactful in improving participants’ confidence in managing cases of obesity via simulation-based learning, irrespective of the mode of attendance or country of residence?

Abdi Zakee , Sakthivel Pavithra , Warmington Emily , Ali Anisah , Elhairy Maiar , Devi Bucktowar Anoushka , Elghobashy Mirna , Ravi Sangamithra , Zhou Dengyi , Synn Cuen Pan Carina , Hazlehurst Jonathan , Kempegowda Punith , behalf of SIMBA and CoMICs team On

Introduction: Simulation via Instant Messaging - Birmingham Advance (SIMBA) is a simulation learning modality designed to recreate real-life clinical scenarios, in a safe environment to help improve participants’ confidence in solving such cases.Objective: To study SIMBA’s effectiveness in improving confidence in managing obesity-related cases and whether the country of residence and modality of attendance influence change in confidence.<p ...

ea0086p336 | Metabolism, Obesity and Diabetes | SFEBES2022

Comparison of global rating scale scores of Simulation via Instant Messaging -Birmingham Advance (SIMBA) participants from high- and low- and middle-income countries of residence

Sakthivel Pavithra , Abdi Zakee , Zhou Dengyi , Malhotra Kashish , Ali Anisah , Sheikh Jameela , Warmington Emily , Synn Cuen Pan Carina , Chen Wentin , Kaur Harjeet , Nirmal Rachel , Soran Vina , Allison Isabel , Evans Nia , Delson Dwi , Davitadze Meri , Kempegowda Punith , team SIMBA

Introduction: Simulation via Instant Messaging -Birmingham Advance (SIMBA) is a virtual platform which simulates anonymised, real-life clinical cases to train healthcare professionals. Participants’ competence is assessed using an adapted version of the global rating scale (GRS) commonly used in medical schools.Aims: To compare GRS scores of participants according to country of residence and domains assessed as part of simulation.<p class="abste...

ea0090p459 | Reproductive and Developmental Endocrinology | ECE2023

Improved self-reported confidence levels to manage transitional endocrine cases following Simulation via Instant Messaging – Birmingham Advance (SIMBA) training

Ogiliev Tamzin , Sakthivel Pavithra , Elghobashy Mirna , Devi Bucktowar Anoushka , Radcliffe Abby , Elhariry Maiar , Ali Anisah , Ravi Sangamithra , Synn Cuen Pan Carina , Yat Ng Sung , Akpeki Celia , Zhou Dengyi , and CoMICs Team SIMBA , Kempegowda Punith

Introduction: Simulation via Instant Messaging – Birmingham Advance (SIMBA) is an online real-time simulation-based learning model which has proven to improve participants’ confidence in managing simulated cases in various conditions. Transitional endocrinology is a unique set of conditions which not only needs clinical skills but also requires excellent team working and communication skills. The aim of the study was to assess the effectiveness of the SIMBA model in ...

ea0077p7 | Adrenal and Cardiovascular | SFEBES2021

Simulation via Instant Messaging – Birmingham Advance (SIMBA): Impact of online simulation-based learning on doctors’ confidence in managing cases during the COVID-19 pandemic

Zhou Dengyi , Ali Anisah , Warmington Emily , Abdi Zakee , Nirmal Rachel , Sakthivel Pavithra , Soran Vina , Elhariry Maiar , Ooi Emma , Ying Cai , Evans Nia , Arlt Wiebke , Boelart Kristien , Karavitaki Niki , Tait Karen , Narendran Parth , Papanikolaou Nikoleta , Jayasena Channa , Davitadze Meri , Melson Eka , Kempegowda Punith

Background: SIMBA is a simulation-based learning platform designed to increase clinicians’ confidence in managing various clinical scenarios. The restriction of face-to-face learning during the COVID-19 pandemic led to switching Simulation via Instant Messaging – Birmingham Advance (SIMBA) to entirely virtual sessions.Objective: To explore SIMBA’s effectiveness to sustain medical education in endocrinology during the pandemic.<p class=...

ea0081p69 | Diabetes, Obesity, Metabolism and Nutrition | ECE2022

Evaluating a novel virtual simulation tool for clinical training to improve clinician confidence managing cases in diabetes and endocrinology

Chen Wentin , Ponniah Gobeka , Hebbar Meghnaa , Sheikh Jameela , Zhou Dengyi , Malhotra Kashish , Evans Nia , Warmington Emily , Ali Anisah , Rezai Fatema , Allison Isabel , Cuen Pan Carina Synn , Nirmal Rachel , Sakthivel Pavithra , Soran Vina , Abdi Zakee , Kaur Harjeet , Delson Dwi , Piya Simran , Melson Eka , Davitadze Meri , Kempegowda Punith , Simulation Simba

Introduction: The delivery of medical education has transformed from in-person to remote teaching, accelerated by the ongoing COVID-19 pandemic. Simulation is a useful teaching modality increasingly used to develop healthcare professionals’ knowledge and skills while protecting patients from unnecessary risks. Although simulation has traditionally occurred face-to-face, many of its principles can be adapted for remote teaching. Simulation via Instant Messaging – Birm...

ea0081p418 | Pituitary and Neuroendocrinology | ECE2022

Is there a difference in clinical skills gained between healthcare professionals of high- and low and middle-income countries with online simulation-based learning?

Ali Anisah , Malhotra Kashish , Zhou Dengyi , Ogiliev Tamzin , Synn Cuen Pan Carina , Warmington Emily , Chen Wentin , Kaur Harjeet , Sheikh Jameela , Sakthivel Pavithra , Nirmal Rachel , Soran Vina , Abdi Zakee , Allison Isabel , Piya Simran , Evans Nia , Hanania Thia , Delson Dwi , Melson Eka , Davitadze Meri , Kempegowda Punith , Simulation Simba

Background: There is a differential clinical learning opportunity for healthcare professionals in low- and middle-income countries (LMICs) compared to high-income countries (HICs). Barriers to learning include cost, time and accessibility. Simulation via Instant Messaging - Birmingham Advance (SIMBA) is a free virtual simulation-based model aimed at improving clinicians’ professional development, without compromising patient safety. The study compared the impact of SIMBA ...

ea0075o11 | Obesity, metabolism &amp; miscellaneous endocrinology | EYES2021

Simulation via Instant Messaging – Birmingham Advance (SIMBA): First steps towards standardising online simulation-based learning in clinical endocrinology

Davitadze Meri , Ooi Emma , Zhou Dengyi , Hanania Thia , Warmington Emily , Nirmal Rachel , Sakthivel Pavithra , Ali Anisah , Soran Vina , Elhariry Maiar , Abdi Zakee , Evans Nia , Ng Cai Ying , Elghobashy Mirna , Arlt Wiebke , Boelaert Kristien , Karavitaki Niki , Tait Karen , Narendran Parth , Gittoes Neil , Melson Eka , Kempegowda Punith

Background: The COVID-19 pandemic restricted face-to-face teaching leading to increased use of virtual learning platforms. Launched in 2019, Simulation via Instant Messaging – Birmingham Advance (SIMBA) delivers simulation-based learning to increase clinicians’ confidence in managing various clinical scenarios.Objective: To explore SIMBA’s effectiveness to sustain medical education in endocrinology during the pandemic.<p class="abstext...