Category / Knowledge Exchange

Filming day for the DEALTS2 instructional video for dementia trainers

Try to imagine living with dementia. Now consider how it might feel caring for a person with dementia. Both concepts are challenging to imagine. However, understanding such concepts is key to improving the delivery of care.  

On 27th June 2023, the cameras were rolling live on Lansdowne Campus at Bournemouth University. Dr Michelle Heward and Director Jon Nichols (Jon Nichols Video Production) were filming a train-the-trainer video designed to support those wishing to use the Dementia Education and Learning Through Simulation 2 (DEALTS2) toolkit confidentially in their own training. The DEALTS2 programme, commissioned by Health Education England, is a training package that uses simulation-based activities to place staff into the shoes of a person with dementia. 

Social care providers including Managers, Support Workers, and Developmental Leads who deliver dementia training to staff in their care homes, day centres, and home care services across Dorset came in to receive training and were filmed for the video. There was a fantastic buzz as everyone arrived welcoming the opportunity to “refresh their dementia knowledge” and were excited to “gain new ideas to deliver dementia training”.  

Delivered wonderfully by Dr Michelle Heward, the training was enjoyed by all especially during the simulation activities. These scenario activities included cost-effective and fun tasks such as making origami swans with varying levels of challenging instructions, some deliberately frustrating! Designed to stimulate understanding of living with dementia to inform the care provided, the tasks were considered as “helpful”, “informative”, and “thought provoking and relevant to their service and carers”.  

After a reinvigorating day filming, care providers were “excited to go away and use the DEALTS2 training” and felt “confident” in delivery of the “excellent” resources. It was fantastic to hear most organisations are hoping to use the DEALTS2 resources within their own organisations in the next few months.  

Thanks to everyone who came along, agreed to be filmed, and helped produce the train-the-trainer video. Everyone did an amazing job and appeared unfazed by the camera during the demands of film production. Thanks also to Harry the boom operator and local actors Alex, Samuel, Rae, Amelia, and Nora who supported the day. The DEALTS2 train-the-trainer video was only possible with all your help. Currently in the editing process, watch this space to see how everyone got on!

For more information or to access the DEALTS2 training programme please visit: https://www.hee.nhs.uk/our-work/dementia-awareness/dementia-education-learning-through-simulation-2  

Lyndsey Bradley, BSc final year undergraduate
Research Assistant
Faculty of Health and Social Sciences 

Ageing and Dementia Research Forum – 29th June – Digital Health Coaching DIALOR

Details of the next ADRC ageing and dementia research forum are listed below. The forum is an opportunity for staff and PhD students to get together to chat about research and share experiences in a safe and supportive environment. Specific topics are discussed but there is also time for open discussion to mull over aspects of research such as project ideas and planning, ethical considerations and patient and public involvement.

Date, time, and campus Research areas
29th June 2023

15.00-15.45

BG601, Bournemouth Gateway

Lansdowne Campus

‘Digital health coaching for older people with frailty in Wessex (DIALOR) ’Rachel Christie

If you would like to discuss your research ideas at a future meeting, please email Michelle mheward@bournemouth.ac.uk

We look forward to seeing you there.

Ageing and Dementia Research Centre

Violence Against and Women and Girls: Social Justice in Action Conference – 29 June

A chance to showcase your Research

Dear all,

We are holding a conference at BU: Violence Against and Women and Girls: Social Justice in Action Conference – Event Date: 29 June at BGB, Lansdowne.

The Soroptimist International Bournemouth and Bournemouth University are facilitating a conference with the focus upon Violence Against Women and Girls. The aim of the day is to raise awareness of issues relating to violence against women and girls, bringing together diverse professionals, NGOs, charities and interested others to share knowledge, explore limitations and seek solutions to sustain social justice. This event is open to all those who are engaged in working with Violence Against Women and Girls and those who care about reducing this global injustice.

At the event in the lunch room we will be running an automated PowerPoint presentation, where we hope to showcase BU research that is relevant to the professional audience.

This is open to all BU academics and PGRs – and all you need is for your research to be relevant to the intended audience it does not have to be focused on the main conference topic.

If you would like to showcase your work to this audience, please send a PowerPoint slide to Orlanda Harvey by 26th June 2023.

Please do pass this opportunity on to colleagues across the University


June Monthly Update for (PGR) Researcher Development, Culture and Community

Desk set up with plant, light, note pad, mouse, keyboard and computer screen.

Check out the June e-newsletter.

All ‘monthly update for researcher development, culture and community’ e-newsletters are available in a dedicated content area on the Doctoral College Researcher Development Programme Brightspace unit.

If you have any questions about the e-newsletter or would like to feature content, please contact Natalie [Doctoral College Programme Manager].

BU and University of Cambridge Collaboration on Traffic Prediction

Bournemouth University (BU) has collaborated with the University of Cambridge on network wide road traffic prediction. The work, led by Dr. Wei Koong Chai in BU, address the problem of traffic prediction on large-scale road networks and propose a novel deep learning model, Virtual Dynamic Graph Convolution Neural Network and Transformer with Gate and Attention mechanisms (VDGCNeT), to comprehensively extract complex, dynamic and hidden spatial dependencies of road networks for achieving high prediction accuracy. The work advocates the use of a virtual dynamic road graph that captures the dynamic and hidden spatial dependencies of road segments in real road networks instead of purely relying on the physical road connectivity.

The team designed a novel framework based on Graph Convolution Neural Network (GCN) and Transformer to analyse dynamic and hidden spatial–temporal features. The gate mechanism is utilised for concatenating learned spatial and temporal features from Spatial and Temporal Transformers, respectively, while the Attention-based Similarity is used to update dynamic road graph.

Two real-world traffic datasets from large-scale road networks with different properties are used for training and testing the model. VDGCNeT is pitted against nine other well-known models in the literature. The results demonstrate that the proposed VDGCNeT is capable of achieving highly accurate predictions – on average 96.77% and 91.68% accuracy on PEMS-BAY and METR-LA datasets respectively. Overall, our VDGCNeT performs the best when compared against other existing models.

Reference:

G. Zheng, W. K. Chai, J. Zhang and V. Katos, “VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model,” Knowledge-based Systems, 110676, June 2023. DOI: https://doi.org/10.1016/j.knosys.2023.110676.