A treatment tool to optimise patient wellbeing
Tenovus (link) is a charity that’s committed to bringing people equal access to the best treatment and support.
They conduct and fund research that aims to improve cancer outcomes and experiences. The charity also continues to develop healthy lifestyle programmes that raise awareness of cancer and prevention.
Their ongoing research continues to evolve the practical advice, emotional support and treatment options available to both cancer patients and their loved ones.
Tenovus recently partnered with University of Wales Trinity Saint David’s KESS-funded PhD studentship to develop a tool that will allow the charity to measure, analyse and tailor treatment options for optimal patient wellbeing.
That’s where we came in.
We were tasked with combining the partnership’s extensive research with the latest technology to design and deliver a psychological evaluation tool that would provide insights into the effectiveness of cancer treatments.
The tool needed to record and measure the patient’s quality of life, anxiety levels, depression, and health status. It also needed to be easy to access and simple to use.
We designed, developed and implemented an intuitive online visualisation tool that measures multiple aspects of a patient’s wellbeing – from physical and social to emotional and physical quality of life.
The tool lets patients fill in one or multiple questionnaires based around treatment and wellbeing.
Once the results are submitted, they’re then fed into algorithms that use psychological techniques to offer data and insights on the patient’s wellbeing before, during, and after receiving cancer treatment.
This provides Tenovus with a statistical overall outlook on both the treatment outcomes and quality of life of cancer patients throughout each stage of treatment.
The results highlight the psychological state of the patient, and can help Tenovus identify anxiety and depression cases, borderline cases, and non-cases.
It also helps determine which treatments are most effective, which treatments leave less psychological strain on patients, and also offers an insights into how treatments affect different age groups and genders.