Publications by authors named "Dengyi Zhou"

Background: To evaluate the efficacy of SIMBA as an educational intervention for both HCPs and people with either PCOS or adrenal conditions and to study the change in knowledge of people with PCOS or adrenal conditions about the conditions and expectations from the HCPs involved in their  care following SIMBA-PPI sessions.

Methods: Two SIMBA-PPI sessions (SIMBA-PPI Polycystic ovary syndrome (SIMBA-PCOS) and SIMBA-PPI Adrenal conditions (SIMBA-Adrenal conditions)) were conducted in September 2021 and March 2022. In both sessions, HCPs interacted with moderators on patient management through WhatsApp.

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Objectives: To compare the acceptance, strengths and limitations of Simulation via Instant Messaging-Birmingham Advance (SIMBA) in low/middle-income countries (LMICs) and high-income countries (HICs), on healthcare professionals' professional development and learning.

Design: Cross-sectional study.

Setting: Online (either mobile or computer/ laptop or both).

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Article Synopsis
  • SIMBA (Simulation via Instant Messaging-Birmingham Advance) utilizes platforms like WhatsApp and Zoom to provide essential simulation-based learning for healthcare professionals during the COVID-19 pandemic, focusing on thyroid and pituitary cases.
  • The study involved 116 participants and found significant increases in self-reported confidence and clinical knowledge both immediately after the sessions and maintained during a follow-up period of 6-12 weeks.
  • Results indicate that SIMBA enhances learning retention, but further research is needed to assess the long-term impact on actual clinical practices.
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Simulation-based learning (SBL) is well-established in medical education and has gained popularity, particularly during the COVID-19 pandemic when in-person teaching is infeasible. SBL replicates real-life scenarios and provides a fully immersive yet safe learning environment to develop clinical competency. Simulation via Instant Messaging - Birmingham Advance (SIMBA) is an exemplar of SBL, which we previously showed to be effective in endocrinology and diabetes.

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Objectives: To assess the rates of SARS-CoV-2 positivity in babies born to mothers with SARS-CoV-2 infection, the timing of mother-to-child transmission and perinatal outcomes, and factors associated with SARS-CoV-2 status in offspring.

Design: Living systematic review and meta-analysis.

Data Sources: Major databases between 1 December 2019 and 3 August 2021.

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Background: Simulation via Instant Messaging- Birmingham Advance (SIMBA) delivers simulation-based learning (SBL) through WhatsApp® and Zoom® based on Kolb's experiential learning theory. This study describes how Kolb's theory was implemented in practice during SIMBA adrenal session.

Methods: SIMBA adrenal session was conducted for healthcare professionals and replicated Kolb's 4-stage cycle: (a) concrete experience-online simulation of real-life clinical scenarios, (b) reflective observation-discussion and Q&A following simulation, (c) abstract conceptualisation-post-session MCQs, and (d) active experimentation-intentions to implement the acquired knowledge in future practice.

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Introduction: We explored the clinical and biochemical differences in demographics, presentation and management of diabetic ketoacidosis (DKA) in adults with type 1 and type 2 diabetes.

Research Design And Methods: This observational study included all episodes of DKA from April 2014 to September 2020 in a UK tertiary care hospital. Data were collected on diabetes type, demographics, biochemical and clinical features at presentation, and DKA management.

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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.

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Objective: COVID-19 in people with diabetes is associated with a disproportionately worse prognosis. DKA is an acute complication of diabetes with a mortality rate of approximately 0.67%.

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Introduction: Rapid, robust and continually updated evidence synthesis is required to inform management of COVID-19 in pregnant and postpartum women and to keep pace with the emerging evidence during the pandemic.

Methods And Analysis: We plan to undertake a living systematic review to assess the prevalence, clinical manifestations, risk factors, rates of maternal and perinatal complications, potential for mother-to-child transmission, accuracy of diagnostic tests and effectiveness of treatment for COVID-19 in pregnant and postpartum women (including after miscarriage or abortion). We will search Medline, Embase, WHO COVID-19 database, preprint servers, the China National Knowledge Infrastructure system and Wanfang databases from 1 December 2019.

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Objective: To determine the clinical manifestations, risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed coronavirus disease 2019 (covid-19).

Design: Living systematic review and meta-analysis.

Data Sources: Medline, Embase, Cochrane database, WHO COVID-19 database, China National Knowledge Infrastructure (CNKI), and Wanfang databases from 1 December 2019 to 6 October 2020, along with preprint servers, social media, and reference lists.

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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.

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Introduction: Currently, the American Joint Commission on Cancer (AJCC) staging system is used for prognostication for oesophageal cancer. However, several prognostically important factors have been reported but not incorporated. This meta-analysis aimed to characterize the impact of preoperative, operative, and oncological factors on the prognosis of patients undergoing curative resection for oesophageal cancer.

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