Virtual learning environment (‘Ivy Street’) for palliative medicine education: student and facilitator evaluation

Clabburn, Oliver; Groves, Karen; Jack, Barbara

doi:10.1136/bmjspcare-2019-002159

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…The effect of simulation on students' motivation has been evaluated by other researchers. Their results mostly confirmed the increase in learning motivation which complies with our results [28,29,[34][35][36][37]. Although, in some studies, the motivation variable did not show any significant increase among learners [38,39].…”

Section: Discussionsupporting

confidence: 90%

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A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

Khorasani

Nour²,

Pisheh³

et al. 2022

JAMMR

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Theory: The technological revolution has profoundly changed our lives. Learning has also been affected by the significant advances in technology, leading human society to a place where distance learning would become inevitable. One of the many tools facilitating distance learning is virtual laboratories that use simulations for educational purposes and turn theoretical knowledge into practical skills. Virtual laboratories can break down the barriers of time and place for skill acquisition among learners. They offer access to laboratories or clinical equipment at a lower cost. Hypotheses: This study aimed to set up a digital ecosystem (VirtuLab) where instructors can create customized interactive simulators for medical students. We hypothesized that VirtuLab can motivate students and help them improve technical skills through steps. Methods: To compare the traditional teaching method (physical testing and working with real-life devices) and the virtual method (using a simulator), we initially created a graphic, virtual environment with the help of computer software and programming languages. We defined a simulated device that can help medical students (interns and externs) learn four different defibrillator applications (AED MODE, CARDIOVERSION, DC SHOCK, and PACEMAKER) virtually. After completing the virtual experiment, participants were invited to provide feedback for better performance. Then, using a questionnaire, users' opinions and scores were collected, and statistical comparisons were performed to determine the effectiveness of the virtual laboratory. Results: Our findings showed that the time spent on each step, the total number of clicks, and the number of mistakes (failed clicks) had decreased significantly from the initial steps to the last one. The feedback obtained from the learners showed that VirtuLab has made the educational content understandable and tangible for 93% of them. Also, 87% of participants expressed their satisfaction with the simulator and found it motivating. Conclusion: The times recorded by users during the steps indicated that with the help of a virtual simulator, learners' time and mistakes were significantly reduced through steps. With VirtuLab, it was possible to repeatedly learn and test different options without additional cost and improve practical skills in a series of steps. Besides, it was an appealing environment to up motivation, confidence, and effective learning in users.

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Section: Discussionsupporting

confidence: 90%

“…In 2020, Clabburn et al [35] introduced a VLE called Ivy Street to instruct healthcare professionals about palliative techniques and end-of-life care. They proposed that Ivy Street can lead to increased engagement and motivation in healthcare professionals and students.…”

Section: Discussionmentioning

confidence: 99%

A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

Khorasani

Nour²,

Pisheh³

et al. 2022

JAMMR

View full text Add to dashboard Cite

show abstract

“…We recognize the potential of VR to support palliative care education [ 73 , 74 ]; however, the consensus group did not identify this as a current priority. Following our study, we recognized that the COVID-19 pandemic has accelerated the use of web-based learning environments for medical education [ 75 ], particularly with the potential to use VR for communication skills training [ 73 ]. Consequently, it is possible that VR for education would be rated higher as a priority if this study were repeated.…”

Section: Discussionmentioning

confidence: 99%

Identification of Digital Health Priorities for Palliative Care Research: Modified Delphi Study

Nwosu¹,

McGlinchey²,

Sanders³

et al. 2022

JMIR Aging

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Background Developments in digital health have the potential to transform the delivery of health and social care to help citizens manage their health. Currently, there is a lack of consensus about digital health research priorities in palliative care and a lack of theories about how these technologies might improve care outcomes. Therefore, it is important for health care leaders to identify innovations to ensure that an increasingly frail population has appropriate access to palliative care services. Consequently, it is important to articulate research priorities as the first step in determining how finite resources should be allocated to a field saturated with rapidly developing innovation. Objective The aim of this study is to identify research priority areas for digital health in palliative care. Methods We selected digital health trends, most relevant to palliative care, from a list of emerging trends reported by a leading institute of quantitative futurists. We conducted 2 rounds of the Delphi questionnaire, followed by a consensus meeting and public engagement workshop to establish a final consensus on research priorities for digital technology in palliative care. We used the views of public representatives to gain their perspectives on the agreed priorities. Results A total of 103 experts (representing 11 countries) participated in the first Delphi round. Of the 103 experts, 55 (53.3%) participated in the second round. The final consensus meetings were attended by 10.7% (11/103) of the experts. We identified 16 priority areas, which involved many applications of technologies, including care for patients and caregivers, self-management and reporting of diseases, education and training, communication, care coordination, and research methodology. We summarized the priority areas into eight topics: big data, mobile devices, telehealth and telemedicine, virtual reality, artificial intelligence, smart home, biotechnology, and digital legacy. Conclusions The priorities identified in this study represent a wide range of important emerging areas in the fields of digital health, personalized medicine, and data science. Human-centered design and robust governance systems should be considered in future research. It is important that the risks of using these technologies in palliative care are properly addressed to ensure that these tools are used meaningfully, wisely, and safely and do not cause unintentional harm.

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“…[68][69][70][71] We recognise the potential of VR to support palliative care education; 72 73 however, the Consensus group did not identify this as a current priority. Following our study, we recognize that COVID19 pandemic has accelerated the use of virtual learning environments for medical education, 74 particularly with the potential to use VR for communication skills training. 72 Consequently, it is possible that VR for education would rate higher as a palliative care digital health priority if this study were repeated.…”

Section: Virtual Realitymentioning

confidence: 89%

Technology in Palliative Care (TIP): the identification of digital priorities for palliative care research using a modified Delphi method

Nwosu

McGlinchey

Sanders

et al. 2021

Preprint

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Background Developments in digital health (describing technologies which use computing platforms, connectivity, software, and sensors for health care and related purposes) has the potential to transform the delivery of health and social care to help citizens manage their own health. Currently, we lack consensus about digital health research priorities in palliative care and lack theories about how these technologies might improve care outcomes. Global palliative care need is expected to increase due to the consequences of an ageing population; therefore, it is important for healthcare leaders to identify innovations to ensure that an increasingly frail population have appropriate access to palliative care services. Consequently, it is important to articulate research priorities as the first step to determine how we should allocate finite research resources to a field saturated with rapidly developing innovations. Aims To identify research priority areas for digital health in palliative care. Methods We selected the digital health trends, most relevant to palliative care, from a list of emerging trends reported by the Future Today Institute. We conducted a modified Delphi process and consensus meeting with palliative care experts to identify research priorities. We used the views of public representatives to gain their perspectives of the agreed priorities. Results One hundred and three experts (representing 11 countries) participated in the 1st Delphi round. Fifty-five participated in the 2nd round (53% of 1st round). Eleven experts attended the final consensus meeting. We identified 16 priorities areas, which were summarised into eight themes. These themes were: big data, mobile devices, telehealth and telemedicine, virtual reality, artificial intelligence, the smart home, biotechnology and digital legacy. Conclusions The identified priorities in this paper represent a wide range of important emerging areas in field of digital health, personalised medicine, and data science. Human-centred design and robust governance systems should be considered in future research. It is important that the barriers and risks of using these technologies in palliative care are properly addressed to ensure that these tools are used meaningfully, wisely and safely and that do not cause unintentional harm.

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Virtual learning environment (‘Ivy Street’) for palliative medicine education: student and facilitator evaluation

Cited by 6 publications

References 9 publications

A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

Identification of Digital Health Priorities for Palliative Care Research: Modified Delphi Study

Technology in Palliative Care (TIP): the identification of digital priorities for palliative care research using a modified Delphi method

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