Objective
Advances in cancer diagnosis and treatment have been groundbreaking, and we are now considering some cancers as chronic disease rather than fatal illness. This moves the point of focus in the fight against cancer from sustaining life towards maximizing functional capacity and quality of life (QOL). A critical element in this shift has been the rise of active rehabilitation in the management of cancer. In the past 10-15 years we have seen the emergence of significant evidence for the clinical effectiveness of active rehabilitation in cancer care, both in maximizing functional capacity and QOL, and preventing secondary recurrence. However, many barriers to implementation of active rehabilitation in cancer care exist due to its profound physical and psychological implications.
Technology advances such as gamification based on biofeedback, and neuromuscular electrical stimulation, can help address some of these barriers but much must be done before we can effectively marry the technological capability to the unmet clinical need. In particular we need to understand specific challenges and patient journeys associated with cancer care and how we can help patients to leverage psychological tools to better engage in their own care. We then need to optimize technological tools to meet patients’ rehabilitation needs, and finally, to understand how to bring resultant solutions to market where they can have maximal impact on quality of care. This can only be done by a multidisciplinary programme of research involving close collaboration between researchers in academic, clinical and industry settings.
CATCH is a deep collaboration across academic, business and clinical sectors. Students will benefit from intersectoral secondments, interdisciplinary communication skills, public engagement and outreach while working on a programme of interrelated core research projects addressing gaps in the knowledge and evidence base for technology enabled cancer rehabilitation mentioned above.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health scienceshealth scienceshealth care serviceseHealth
- social sciencessociologygovernance
- medical and health sciencesclinical medicinephysiotherapy
- social sciencessociologyanthropology
- medical and health sciencesclinical medicineoncology
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback.
You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Funding Scheme
MSCA-ITN-EID - European Industrial DoctoratesCoordinator
4 Dublin
Ireland