Near Peer learning when time is limited: reflections of a junior doctor (Preprint)

2019 ◽  
Author(s):  
Edmund Elliott
Keyword(s):  
Medical Education ◽  
Communities Of Practice ◽  
Learning Outcomes ◽  
Junior Doctor ◽  
Curriculum Alignment ◽  
Student Expectations ◽  
Key Points ◽  
Supervised Autonomy ◽  
Intended Learning Outcomes ◽  
Night Shifts

UNSTRUCTURED Reflections of a junior doctor on his experience of teaching medical students during night shifts on acute medical ward cover. Student expectations were outlined during the briefing and intended learning outcomes created. A process of activated learning then ensued and after this the students were allowed a degree of supervised autonomy and independence as they conducted reviews and assessments on patients. This was fed back on positively. Key points include firstly, the importance of curriculum alignment with intended learning outcomes and secondly, an appreciation of communities of practice in medical education.

scholarly journals What is meant by “frailty” in undergraduate medical education? A national survey of UK medical schools

2021 ◽  
Vol 12 (2) ◽  
pp. 355-362
Author(s):  
Rebecca Winter ◽  
Muna Al-Jawad ◽  
Juliet Wright ◽  
Duncan Shrewsbury ◽  
Harm Van Marwijk ◽  
...  
Keyword(s):  
Medical Education ◽  
Learning Outcomes ◽  
Undergraduate Medical Education ◽  
Geriatric Medicine ◽  
Treatment Decision ◽  
Medical Schools ◽  
Educational Strategies ◽  
Treatment Decision Making ◽  
Negative Perceptions ◽  
Common Learning

Abstract Purpose All UK medical schools are required to include frailty in their curriculum. The term is open to interpretation and associated with negative perceptions. Understanding and recognising frailty is a prerequisite for consideration of frailty in the treatment decision-making process across clinical specialities. The aim of this survey was to describe how frailty has been interpreted and approached in UK undergraduate medical education and provide examples of educational strategies employed. Methods All UK medical schools were invited to complete an electronic survey. Schools described educational strategies used to teach and assess frailty and provided frailty-related learning outcomes. Learning Outcomes were grouped into categories and mapped to the domains of Outcomes for Graduates (knowledge, skills and values). Results 25/34 Medical schools (74%) participated. The interpretation of what frailty is vary widely and the diversity of teaching strategies reflect this. The most common Learning outcomes included as “Frailty” are about the concept of frailty, Comprehensive Geriatric Assessments and Roles of the MDT. Frailty teaching is predominantly opportunistic and occurred within geriatric medicine rotations in all medical schools. Assessments focus on frailty syndromes such as falls and delirium. Conclusion There is variation regarding how frailty has been interpreted and approached by medical schools. Frailty is represented in an array of teaching and assessment methods, with a lack of constructive alignment to related learning outcomes. Consensus should be agreed as to what frailty means in medical education. Further research is required to explore which frailty-specific educational strategies in undergraduate medical education enhance learning.

scholarly journals Virtual Reality Module Depicting Catheter-Associated Urinary Tract Infection as Educational Tool to Reduce Antibiotic Resistant Hospital-Acquired Bacterial Infections

2020 ◽  
Author(s):  
Yosra M Mekki ◽  
Mohamed M Mekki ◽  
Mohamed Hamammi ◽  
Susu Zughaier
Keyword(s):  
Medical Education ◽  
Virtual Reality ◽  
Antibiotic Resistance ◽  
Learning Outcomes ◽  
Health Care Providers ◽  
Resistant Bacteria ◽  
Educational Tool ◽  
Care Providers ◽  
Antibiotic Resistant ◽  
Hospital Acquired

Introduction: Virtual reality (VR) and augmented reality (AR) are used as simulation models in student-patient interactive medical education and shown to enhance learning outcomes. The rise in global burden of infectious diseases and antibiotic resistance world-wide prompt immediate action to combat this emerging threat. Catheter associated urinary infections (CAUTI) are the leading cause of hospital-acquired infections. The aim of this research is to develop a virtual reality (VR) based educational tool depicting the process of CAUTI caused by antibiotic resistant bacteria. The VR-CAUTI module is designed to provide insights to health care providers and community which help in reducing the burden of antibiotic resistant infections. Material and methods: The VRCAUTI module is designed using tools including Blender, Cinema4D and Unity to create a scientifically accurate first-person interactive movie. The users are launched inside a human bladder that needs to be drained. They can witness the insertion of a medical catheter into the bladder to drain the urine. Bacteria adhere to the catheter to establish colonization and infection. An interaction between antibiotic molecules and bacteria in the biofilm is observed later. After designing the 3D models, a highlight of the interaction between models, taken from the storyboard, is used to determine the necessary animation. Moreover, dialogue that facilitates the understanding of infections and antibiotic resistance is recorded. This is followed by the assembly of the module on Unity, and enrichments such as lights and orientation. Results and conclusion: This VRCAUTI module is the proof-of-concept for designing detailed VR based scientifically very accurate medical simulation that could be used in medical education to maximize learning outcomes. VR based modules that have the potential to transform and revolutionize learning experience and render medical education compatible with the IoT in the current 4th industrial revolution.

scholarly journals Reducing potentially avoidable tasks in a hyperacute stroke unit

2021 ◽  
Vol 10 (3) ◽  
pp. e001482
Author(s):  
Derya Tireli ◽  
Michael Broksgaard Jensen
Keyword(s):  
Stroke Unit ◽  
Junior Doctor ◽  
Night Shift ◽  
Healthcare Providers ◽  
Junior Doctors ◽  
Patient Admissions ◽  
Work Routines ◽  
Routine Tasks ◽  
Very High ◽  
Night Shifts

The workflow in a stroke unit can be very high, and this is especially noticeable during evening and night shifts, where staffing is reduced but the patient’s need for frequent and intensive care is not. The specialised and standardised settings in a stroke regime are constant and demanding for healthcare providers who, therefore, must work efficiently. Patient admissions, acute situations and routine tasks are major contributors to the burden of work during evening and night shifts for junior doctors on call. Thus, it is important to reduce the number of potentially avoidable tasks done by these junior doctors during night shifts so they have more time to perform tasks of high priority. The aim of this project was to reduce the potentially avoidable tasks occurring at night for the on-call junior doctor to only one per shift. We investigated the types of tasks that frequently occur for the on-call junior doctor during the night shift and improved our daily morning and evening rounds to reduce the number of tasks during the night shift. Using the plan–do–study–act method, we made improvements through education, knowledge sharing, checklists and feedback, and we reduced the number of potentially avoidable tasks for on-call junior doctors from a median of 11 to a median of 3 per week, demonstrating that the workload for the on-call junior doctor during the night shift can be reduced through a systematic approach to improving the work routines of doctors and nurses.

Editorial Volume Editorial Volume 15 Issue 2

2016 ◽  
Vol 15 (2) ◽  
pp. 50-50
Author(s):  
Chris Roseveare ◽  
Keyword(s):  
Medical Education ◽  
Hospital Mortality ◽  
Junior Doctor ◽  
Organizational Factors ◽  
Skills Training ◽  
Weekend Effect ◽  
Quality Data ◽  
Mortality Statistics ◽  
Acute Medicine ◽  
Care Plans

Hospital mortality has been a hot topic in the medical and popular Press over recent years. Many readers will recall ‘scandals’ around hospitals whose mortality rates appeared higher than that which would be expected. The so-called ‘weekend effect’ whereby patients admitted to hospital between Friday and Monday appear more likely to die during their hospital stay has been regularly quoted in Parliament by the Secretary of State as justification for the Government’s manifesto pledge to create a ‘7 day NHS’. A number of recent publications have illustrated the complexity of this statistic, which – at least in part – is likely to reflect illness severity as much as organizational factors. The paper by Emma Mason in this edition further supports the concept that hospital mortality statistics may be hard to influence through structural or staffing changes. Those working in the acute medicine setting will not be surprised to read that almost half of those patients who die within 48 hours of arrival in hospital had solely palliative care needs at the time of admission. Many of these patients were elderly, frail and resident in a care home environment, but many also had undergone previous admissions within the months leading up to their death; the authors comment that this could have provided an opportunity to discuss end of life care plans, potentially enabling their final admission to hospital to have been avoided. Preventing ‘avoidable’ deaths in hospital from conditions such as sepsis and acute pulmonary embolism is a key component of the job of an acute physician. However, even when death in unavoidable we must do what we can to ensure patients die in the environment of their choice. Reducing deaths in hospital should not simply focus on those whose death can be prevented. Although mortality statistics may be misleading when interpreted in isolation, good quality data can be a powerful tool to influence changes in the acute medicine setting. By the time this edition is published, the 2016 Society for Acute Medicine Benchmarking Audit (SAMBA16) will already have take n place; previous years’ data were published in this journal and we hope to see a continued rise in the numbers of participating units this year. Tom Brougham and colleagues from Bristol have illustrated how an electronic system for data collection on their AMU enabled reorganization of their junior doctor rota, reducing waiting time for patients. Their data illustrate the problem which will be familiar to many acute physicians, whereby the surge in afternoon arrivals on the AMU often coincides with shift changeovers and reductions in junior doctor and other numbers. Matching staffing to workload can have significant benefits for patient care and may enable a reduced strain on the night shift team if patients are seen in a more timely fashion. Whether this can be linked to improved patient outcomes in the future will be interesting. Finally, I would like to welcome one more addition to the editorial board. Dr Nick Murch is an acute physician in the Royal Free hospital, with an interest in medical education and simulation skills training. With an increasing number of acute medicine trainees undertaking medical education as their specialist skill, I am keen to develop the training and education section of the journal over the coming years, and look forward to Nick’s input in this regard. We will continue to welcome submissions of research relating to acute medicine education and training, which we will consider for future publication in this section of the journal.

Connecting Teacher-Made Assessments to Course Learning Outcomes Through Learning Analytics

2019 ◽  
pp. 101-125
Author(s):  
Julia Chen ◽  
Dennis Foung
Keyword(s):  
Learning Outcomes ◽  
Learning Analytics ◽  
Structural Equation ◽  
Data Driven ◽  
Equation Modeling ◽  
Curriculum Alignment ◽  
Outcome Based Education ◽  
Data Driven Approach ◽  
The Subject

This chapter explores the possibility of adopting a data-driven approach to connecting teacher-made assessments with course learning outcomes. The authors begin by describing several key concepts, such as outcome-based education, curriculum alignment, and teacher-made assessments. Then, the context of the research site and the subject in question are described and the use of structural equation modeling (SEM) in this curriculum alignment study is explained. After that, the results of these SEM analyses are presented, and the various models derived from the analyses are discussed. In particular, the authors highlight how a data-driven curriculum model can benefit from input by curriculum leaders and how SEM provides insights into course development and enhancement. The chapter concludes with recommendations for curriculum leaders and front-line teachers to improve the quality of teacher-made assessments.

Intelligent Agent-Based e-Learning System for Adaptive Learning

2012 ◽  
pp. 145-158
Author(s):  
Hokyin Lai ◽  
Minhong Wang ◽  
Huaiqing Wang
Keyword(s):  
Individual Differences ◽  
Learning Outcomes ◽  
Adaptive Learning ◽  
Main Idea ◽  
Learning Approaches ◽  
E Learning ◽  
Treatment Interaction ◽  
Multi Agent ◽  
The Individual ◽  
Intended Learning Outcomes

Adaptive learning approaches support learners to achieve the intended learning outcomes through a personalized way. Previous studies mistakenly treat adaptive e-Learning as personalizing the presentation style of the learning materials, which is not completely correct. The main idea of adaptive learning is to personalize the earning content in a way that can cope with individual differences in aptitude. In this study, an adaptive learning model is designed based on the Aptitude-Treatment Interaction theory and Constructive Alignment Model. The model aims at improving students’ learning outcomes through enhancing their intrinsic motivation to learn. This model is operationalized with a multi-agent framework and is validated under a controlled laboratory setting. The result is quite promising. The individual differences of students, especially in the experimental group, have been narrowed significantly. Students who have difficulties in learning show significant improvement after the test. However, the longitudinal effect of this model is not tested in this study and will be studied in the future.

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