SmartCHANGE Webinar - Putting Health Tools into practice: Designing feasibility studies at an international scale

Putting Health Tools into practice: Designing feasibility studies at an international scale Agenda Time - CET Topic Speaker(s) 11:00 -11:10 Welcome & Webinar Overview Diego Dylan Domenici | TRUST-IT 11:10 -11:25 SmartCHANGE applications ( mApp and WebApp) Harm op den Akker | ConnectedCare Valentina Di Giacomo | Engineering 11:25 -12:20 Study Snapshots: Ljubljana Jyväskylä Amsterdam Porto Taipei Gregor Jurak | ULJ Tuija Tammelin & Heikki Laaksonen | JAMK Claudia Dictus & Mariëtte Hoogsteder | VUMC José Carlos Ribeiro | UPORTO Sherali Bomrah | TMU 12:20 -12:30 Q&A Session Previous speakers 12:30 Closing Diego Dylan Domenici | TRUST-IT 2Webinar: Putting Health Tools into practice –11/11/2025 Housekeeping Feel free to say hi and write any questions in the chat! This webinar is recorded. The recording will be posted on YouTube and shared, alongside the slides, on our website and social media To stay informed on this and more updates, you can find our upcoming events and our social media channels on our website smart-change.eu 3Webinar: Putting Health Tools into practice –11/11/2025 About the project SmartCHANGE is a 4-year long H.E. RIA project (May 2023-May 2027) Research topic is “Trustworthy AI tools to predict the risk of chronic NCDs and/or their progression”, together with a cluster of other projects SmartCHANGE is developing a “health ecosystem” through the interaction between two applications (one for families of children/youth, one for HCPs) Currently, the project is deploying a multi-pilot site testing of the system, pairing it alongside a variety of different health infrastructures in different national and social contexts. These are the 5 Feasibility Studies. 4Webinar: Putting Health Tools into practice –11/11/2025 Presented by: Harm op den Akker (ConnectedCare) Designed by: Lotte van der Jagt (CCARE), the SmartChange Consortium, and many many stakeholders… The Goal: Stimulating and engaging families, children and adolescents throughout their personalized journey towards a healthy lifestyle. What is important for this app: Personalized and clear goals Gamified experience Changing content over time Holistic approach with autonomy Educational component Data Integration 🌱 Collects and aggregates data from the HappyPlant app and other potential sources. Guided consultations 🩺 Provides step-by-step guidance for preventive consultations —from data review to discussion and action planning —supporting consistency and efficiency in daily practice. Risk Prediction Integration 🔍 Identify emerging lifestyle risk patterns with clear explanations to support trust and understanding. Preventive Guidance 🩺 Supports practitioners in suggesting preventive actions aligned with behaviour change principles. Monitoring Over Time 📈 Visualisation wellbeing trends and progress toward preventive goals Thank you Feasibility study in Slovenia Gregor Jurak Univerza v Ljubljani Feasibility study in Slovenia Experimental group: Sv. Ana in Renče Control group: Žalec 23 21 ? Health Care Professionals and Teachers Sv. Ana Renče Žalec Paediatrician ● ● Kinesiologist ● ● Nutritionist ● Psychologist ● Nurse ● ● ● Teacher ● ● ● ● ● N=14 What is artificial intelligence? Use of AI in My SLOfit Use of AI in SmartCHANGE Napovedovalni modeli na veliki množic podatkov Sprememba katerega vedenja prinaša največje zdravstvene koristi My SLOfit •trajno hranjenje SLOfit podatkov •možnost deljenja vpogleda v svoje SLOfit podatke Garmin Vivosmart 5 and HappyPlant app 10 steps to monitor child lifestyle with HappyPlant 10 steps to monitor child lifestyle with HappyPlant HappyPlant Personal Data Protection Treatment Child's personal data that we collect during our study: Sociodemographic data: name, surname, date of birth, gender, parents' names and emails (collected personally by the school's teacher) Body height and mass (obtained with a questionnaire in HappyPlant mobile app. and with measurements taken at meetings with the healthcare team –data recorded in SmartChange web app.) Physical activity, sleeping habits, sitting habits (automatically obtained by a wearable Garmin device) Eating habits, mindfulness (obtained with questionnaires in HappyPlant app. on multiple occasions) Physical fitness (imported data from external SLOfit app.) Other sociodemographic data: parents’ education, family's socioeconomic status (obtained with a questionnaire in HappyPlant app.) Pseudonymization: replacement of personal identifiers (e.g., child’s name and surname) with a fictitious number Data storage: a server located in Slovenia Access to collected personal data Teachers at the schools (access to data from Garmin device) Healthcare team (all data, including those calculated by AI) Authorized researcher at Faculty of Sport University of Ljubljana (all data, including those calculated by AI) Why did we choose 11 & 14 year olds to participate in Finland? Move! a national monitoring and feedback system for all Finnish 5th and 8th grade pupils’ to measure their fitness/ physical functional capacity 20 m shuttle run, push-ups, curl-ups, 5-leap, throwing-catching, flexibility –during Physical Education lessons Main purpose is to encourage pupils to take responsibility for their own physical fitness, and to promote an active lifestyle. Move! results will be taken in expanded health checks conducted by school nurses (guardians involved) Potential use of SmartCHANGE applications in this context in future… Recruitment process Recruitment process involved multiple phases, to first recruit the school nurses before we could start recruitment of children and adolescents at the schools Children and adolescents were recruited a) from events held in classroom and b) directly by school nurses Collaboration with local welfare district to support school nurses’ opportunity/willingness to join the study and improve children & adolescents' adherence to study visits during the school day. Children and adolescents received the HappyPlant application well during the recruitments, 11-year-olds were keener to participate than 14-year-olds. Next steps: Starting the feasibility study Starting events at each participating schools Deliver the Garmins for the participants and ensure everyone has Garmin and HappyPlant running correctly Provide instructions and information for participants and their parents Children and adolescents begin to use the Garmin and the HappyPlant application and attend the initial meeting with the school nurse Opportunities and local topics related to feasibility study Opportunity to assist school nurse in their work evaluating children health Incorporating the device measured lifestyle data into the process Finnish legislation was changed recently to restrict mobile phone use in the schools for children and adolescents Some schools also restrict the use of Smartwatches - Permission from schools to use activity trackers during school days was granted for the feasibility study New guidelines are in process from Finnish institute for Health and Welfare which addresses the 0-13 years old children digital device use Recommends that younger than 11-year-olds should not have their own digital device Thank you! Netherlan ds Feasibility Study plan Claudia Dictus, Mariëtte Hoogsteder, Teatske Altenburg Realist Ripple Effect Mapping (RREM) of the Happy Plant App Webinar November 11th 2025 •1 Evaluation team formation and piloting 2 Recruitment and app use 3 RREM workshops Phase 1 Evaluation team formation and piloting 6-10 adolescents who were involved in co-design (age 14-16) Pilot testing of the app Planning recruitment incentives for participants Learning through participation to carry out RREM Webinar November 11th 2025 Phase 2 Recruitment and app use 20-50 adolescents aged 11-14 recruited with evaluation team App use for minimum of 2 weeks Weekly evaluation of continued use Phase 3 RREM RREM workshops co-facilitated by evaluation team (visual mapping, detecting CMO’s / context mechanisms outcomes) Final analysis of findings together with evaluation team Webinar November 11th 2025 Purpose of the Feasibility Study Main goal: test the feasibility, usability, and acceptability of SmartCHANGE tools in real-world settings. Why Portugal: family-based healthcare context with paediatricians, early lifestyle intervention, and strong clinical infrastructure. Study design: non-randomised trial with experimental and control groups. Study Context in Portugal Target group: families with at least one child aged 6–10 years. Participants: ~100 families (50 experimental, 50 control). Setting: CUF Hospital. Recruitment: via paediatric consultations and family doctors. Recruitment and Procedures Families invited during regular check-ups. Information brochures and consent forms will be distributed during a general meeting at the Faculty. Follow-up via phone/email if no reply within 15 days. Children wear Garmin Vivosmart 5 for physical activity monitoring. The SmartCHANGE Tools Web App (for professionals): Shows risk profiles and key behavioural factors. AI-driven risk prediction (low/medium/high). Enables professionals to define and adjust goals. Mobile App (HappyPlant): Used by parents/children. Gamified plant growth linked to healthy goals. Focus on fun, achievable, family-oriented activities. Role of Healthcare Professionals Professionals interpret AI-generated risks. Define intervention areas (e.g., physical activity, diet). Set SMART goals with families. Monitor progress and adjust objectives through the app. ⚠️The app does not autonomously prescribe interventions. All behavioural goals must be validated by a healthcare professional. Outcomes Feasibility: recruitment, adherence, technical functioning. Usability: satisfaction and engagement (families + professionals). Explainability: understanding and trust in AI predictions. Clinical: changes in behaviour, BMI, activity levels, etc. Expected Impact Promote early health literacy and prevention. Strengthen collaboration between families and healthcare providers. Support clinical decision-making with explainable AI. Provide model for scalability to other EU countries. Ethical & Data Considerations Compliance with GDPR and local ethics committees. Informed consent from parents, assent from children. Anonymised or pseudonymised data stored securely in UPorto servers Thank you Funded by EU, Project: 101080965 INTERVENTION COMPONENTS WEBINAR:Putting Health Tools into practice: Designing feasibility studies at an international scale Happy plant Concept User Enrollment Flow Garmin Vivosmart 5 Progress So FAR Local ethical clearance obtained for conducting the SmartCHANGE feasibility study Conducted multiple coordination meeting over last 6 to 8 months with pediatricians and nursing staff Server requirements finalized and system readiness confirmed for SmartCHANGE web platform Preliminary testing of app usability, data linkage, and wearable-device setup finished. Personal Data Protection and Privacy Measures Child’s Personal Data Collected: Sociodemographic data, Physical measurements data,Behavioural data and Lifestyle data. Data Pseudonymisation Personal identifiers (e.g., name, contact details) will be replaced with coded study IDs. Data Storage & Security All study data are securely stored on TMU’s encrypted local server. ANTICIPATED CHALLENGES AND STRATEGIC ADAPTATIONS Health care Practitioners led implementation Anticipated Challenges Maintaining engagement and adherence over 6 months. Ensuring privacy and responsible app use in school environments. Aligning digital autonomy with parental oversight norms. Adaptations Gamified weekly missions and progress badges . Age-appropriate consent and parental communication materials. Youth-friendly content localization with input from adolescent focus groups THANKS Next steps Sign up for our newsletter at https://smart-change.eu/newsletter to receive major updates every few months Follow us on whichever social media works best for you and most importantly… Stay Healthy! 6Webinar: Putting Health Tools into practice –11/11/2025