One in three adults over 65 will suffer a fall at least once a year, and 82% are alone when this happens. Imagine someone you love falling and hitting their head or breaking their hip. Imagine they are unconscious and alone on the floor. Bleeding internally. How long would it be before someone would come and help? Would you always be there? How long would they be left on the floor waiting, wishing, someone would come?
Help often comes too late. We can’t let this continue.
Hassan Zaidi, PhD researcher, has found a way to change this. No loved ones will ever be alone and in need: help will be there
Social isolation in the care sector is a significant and growing problem which affects the mental and physical health of residents. Care homes currently address this through activity programmes for residents or arranging volunteer visits, but they are unlikely to have the time or resources to consider the personal chemistry or shared interests of the people concerned.
Our service helps care homes ensure that everybody has the chance to develop long-term meaningful relationships. We create profiles of each carer and resident and suggest matches based on shared traits and interests. This gives care workers a better chance of building a strong rapport with those in their care, and also enables residents with common interests to find each other. Over time, we believe that this system can both improve the residents’ experience and reduce staff turnover.
Nearly half of UK care workers leave their job within the first year. Blossom aims to reduce overall recruitment costs by increasing employee retention before the critical 1 year drop out period. We aim to do so by introducing accredited specialist care training and qualifications in order to allow carers to become more qualified, and have an incentive to progress and remain within the care sector. The training will run alongside a number of existing charities who can offer specialist training.
The scheme will incorporate rewards such as small pay rises on completion of said relevant courses, rewards ceremonies held by notable individuals and uniform badges to display their achievements on a day to day basis.
Team Trinity is a multidisciplinary tech team from Oxford Brookes University specialising in hardware and software solutions. The team developed a secure, affordable and adaptable device that alerts carers or family members to a potential problem their loved one is experiencing. The objective is twofold: Reduce the response time of accidents.
We will provide “peace of mind” for individuals responsible for caring for the elderly.
The device is small, portable, and non-invasive. It can be stuck to any surface using an adhesive or magnet. It also has a built-in mobile module and battery that allows it to send and receive messages or alerts without relying on a Wi-Fi network or mains power. The device works by monitoring the subject’s environment and sending alerts to registered users if a movement has, or has not, been detected for a period of time (e.g. bedroom door not open after 9 am, kettle not been used before 10 am). Moreover, it utilises a schedule-based monitoring system which can be customised using any phone via a text message, rather than a smartphone app or computer.
bEmE is a project developed with the fundamental aim to transform people’s prejudice towards the elderly by increasing care givers’ empathy. By empathy we mean being able to understand as well as share the feelings of older people. The Age Simulation Suit has different components that constrict physical movement. What we offer is a training programme where care workers are required to wear the kit while engaged in different activities, such as walking, pouring water, reading and talking. This service is especially effective for the reason that it allows people to feel the hardship of old age on their own skin. This realistic and immersive experience of helplessness, humiliation and frustration will in the long run improve the quality of service that the elderly receive from their care workers. Suit on, experience it, be empathic.
Our app-coupled-with-device system would measure sleep patterns of dementia residents in care homes. Measuring residents' quality of sleep at night (noise production, movement) will help predict aggressive behaviour during the day. Research literature will be used to understand how sleep quality causes aggressive behaviour in dementia residents and what related observations occur. Current dementia care implementation apps will be compared. Thus, our system would establish a feedback loop for carers to implement care plans to improve residents' sleep patterns and reduce aggressive behaviour, hence improving resident quality of life and staff satisfaction.
Within 3-6 months, our system would measure sleep quality of dementia residents, predict disruptive behaviour as a result of differing sleep patterns, and help carers plan care in advance to increased care requirements of dementia residents with poor-quality sleep.