As part of the implementation of the research project “Innovative Digital System for Hypoglycemia Prediction and Diabetes Self-Management Using Artificial Intelligence Technologies” (DiabForeAI), a survey was conducted through questionnaires with the aim of capturing and gaining a deeper understanding of the needs and requirements of both people living with diabetes mellitus and treating physicians, so that a useful tool can be designed that will significantly improve the lives of thousands of people.
It is worth noting that DiabForeAI falls under the “Research – Innovate” Action (Intervention III: Utilization of Research Results) and concerns the expansion of the forDiabetes application, which is a useful tool for people with diabetes.
The questionnaire collected a total of 102 responses, and the data obtained will be used for the design and development of the new DiabForeAI platform. Indicative findings from the survey are presented below.
The responses show that the sample covers a wide range, with a slight predominance of male participants (almost 55%). The majority of respondents have type 1 diabetes (61%), followed by type 2 diabetes (28.5%), with smaller percentages for LADA and gestational diabetes.
In addition, the questionnaire explored users’ readiness to adopt the new solution and participate in a pilot evaluation. A total of 43% state they are absolutely certain they will use the new DiabForeAI application, while 26.5% consider it likely that they will use it.
Finally, particular emphasis is placed on needs such as personalization (77% consider it extremely important), practical support for day-to-day self-management (prediction of hypoglycemic episodes, automatic glucose logging, etc.), as well as safety enhancing features, such as an SOS button.
The survey results serve as a key guide for the next stages of the DiabForeAI project, contributing to the design of a digital solution based on real user needs. The involvement of patients and health professionals is crucial for the successful implementation and evaluation of the platform.
The project “Innovative Digital System for Hypoglycemia Prediction and Diabetes Self-Management Using Artificial Intelligence Technologies” is being implemented under the “Research – Innovate” Action and co-funded by Greece and the European Union (European Regional Development Fund – ERDF) through the NSRF 2021-2027. This action falls under Priority 1, “Strengthening Research and Innovation,” and is carried out by the Special Management and Implementation Service for Research and Innovation Actions (SYDKE).