Konstantia Zarkogianni, Greece
National Technical University of Athens School of Electrical and Computer EngineeringPresenter of 2 Presentations
THE ENDORSE PILOT TRIAL
- Konstantia Zarkogianni, Greece
- Maria Athanasiou, Greece
- Kostas Mitsis, Greece
- Ioannis Vasilakis, Greece
- Ioanna Kosteria, Greece
- Kostas Perakis, Greece
- Danai Vergeti, Greece
- Danai Antonopoulou, Greece
- Efi Papachristou, Greece
- Vassia Chioti, Greece
- Ioanna Tokou, Greece
- Christina Kanaka-Gantenbein, Greece
- Konstantina Nikita, Greece
Abstract
Background and Aims
Within the Greek funded project, named “ENDORSE”, an innovative integrated platform is developed harnessing the power of Artificial Intelligence, sensing and gamification technologies, facilitating self-disease management in children with Type 1 Diabetes Mellitus (T1DM) while supporting decision making in formal and informal caregivers. A two phase pilot randomized trial is foreseen to evaluate its effectiveness.
Methods
Particular use cases based on the applied insulin treatment are defined involving children 6-16 years old. Taking into consideration the current clinical methods for managing T1DM in Greece along with the necessary approvals from the national ethical committee, a clinical protocol is drafted specifying, amongst others, inclusion/exclusion criteria (e.g. diabetes duration>1 year, without celiac disease, without complications) and monitored parameters.
Results
Following a training phase, the participants receive hardware (e.g. Insulclock devices and activity trackers) and software modules to use them for 3 months during their daily habits while performing monthly screening visits to the “Agia Sofia” Children’s Hospital. In Phase 1 pilot, 30 patients are recruited. This phase represents a feasibility study to implement the technical equipment into patient care and to collect new data for improving the ENDORSE recommendation engine. In Phase 2 pilot, 70 patients are recruited and randomly assigned (2/3:1/3) into an intervention and a control group.
Conclusions
The ENDORSE pilot trial tests the feasibility of implementing advanced ICT technologies into routine clinical care of T1DM children while improving patients’ satisfaction and clinical outcomes. Acknowledgements: Supported within the framework of the ENDORSE project, which is funded by the NSRF (Grant agreement: Τ1ΕΔΚ-03695)
A COMPREHENSIVE APPROACH TO EMPOWER SELF-MANAGEMENT OF HEALTH IN CHILDHOOD OBESITY BASED ON GAMIFICATION MECHANISMS AND BIOFEEDBACK
- Konstantia Zarkogianni, Greece
- Maria Athanasiou, Greece
- Kostas Mitsis, Greece
- Evi Chatzidaki, Greece
- Nektaria Polychronaki, Greece
- Kostas Perakis, Greece
- Danai Vergeti, Greece
- Danai Antonopoulou, Greece
- Efi Papachristou, Greece
- Vassia Chioti, Greece
- Antonis Voutetakis, Greece
- Eleftherios Kalafatis, Greece
- Panagiota Pervanidou, Greece
- Christina Kanaka-Gantenbein, Greece
- Konstantina Nikita, Greece
Abstract
Background and Aims
Modern m-health technologies open new perspectives in managing childhood obesity. Within the Greek funded project, named “ENDORSE”, an innovative software ecosystem is developed incorporating Artificial Intelligence and gamification technologies capable of delivering tools and services facilitating self- management of health while engaging the active involvement of formal and informal caregivers.
Methods
ENDORSE applies a parent-child multicomponent intervention including dietary, physical activity, educational and behavioral components. It implements a goal-oriented approach which includes periodic assessment of child’s weight, behavioral lifestyle and needs in order to accordingly adjust goal settings and improve adherence. Obese children are trained and encouraged to adopt healthy diet and physical activity through their interaction with the ENDORSE serious game. Aiming at optimizing the parental role, a mobile application has been developed facilitating daily self-monitoring of goals and communication with healthcare professionals.
Results
The ENDORSE platform has the capability to leverage data from different sources (e.g. activity trackers, mobile apps) in order to create a complete user profile. Personalized, tailored messages and reminders targeting child and parents, along with recommendations for goal settings adjustment and adherence reports, are produced by the ENDORSE recommendation engine with the aim to achieve personalization and adaptation.
Conclusions
The ENDORSE platform implements modern m-health technologies into routine clinical care of obese children. Future work includes the execution of pilot trials to evaluate its effectiveness in terms of improving health outcomes and user’s acceptance. Acknowledgements: Supported within the framework of the ENDORSE project, which is funded by the NSRF (Grant agreement: Τ1ΕΔΚ-03695)