The BETTER4U project (Preventing obesity through Biologically and bEhaviorally Tailored inTERventions for you) is funded by the European Union (EU) and involves an international consortium consisting of 28 partners across Europe, Israel, and Australia. The project started in November 2023 and will run until October 2027. The main aim of BETTER4U is to improve weight management through a tailor-made intervention, the "BETTER4ALL personalized intervention", using modern monitoring tools and artificial intelligence (AI), including machine learning (ML) practices. In the context of the BETTER4U project, the present Pilot Study aims to a) evaluate the usability, feasibility and acceptability of the BETTER4U mobile application ("BETTER4U App") and Intervention Platform that will be used to monitor and collect data from participants in the BETTER4ALL personalized intervention (randomized controlled trial; RCT) and b) collect data to evaluate and improve the BETTER4U causal AI models for the prevention of weight gain, before deploying them at large scale, as well as test and identify the optimal ways of delivering the AI-based interventions to the participants. The study will be conducted in seven sites in Cyprus, France, Greece, Poland, Portugal, Spain, and Sweden. The BETTER4All Pilot Study will be a longitudinal, correlational, observational study, including a total of n=490 participants, equally distributed among the seven sites (i.e. n=70 per site). Specifically, n=60 (± 3-5) "general population" participants (henceforth: "end-users" of the wearables and the BETTER4U App) and n=10 (± 3-5) healthcare or other types of providers (henceforth: potential "implementers" of the BETTER4U intervention) will constitute each site's sample. The study will involve the following two components: a) the administration of the wearables (smartwatches) to the "end-users" and their registration to and training on the BETTER4U App, to be used for a total duration of three weeks (21 days). During this period, their lifestyle behaviours (i.e. "BETTER4U Core Behavioural Indicators - BCBIs", such as eating occasions, physical activity, sedentary time, sleep etc.) and "living environment indicators - LEIs"; (e.g. access to parks in your area, distance from your home to your work place etc.) will be recorded daily, either in an automated way via the wearables or self-reported by the end-users through the App; and b) the registration to and training on the BETTER4U Intervention Platform of the "implementers" for a total duration of one week (7 days), during which they will be asked to test the platform's functionalities using synthetic data. The implementers will also be provided with the wearables and the App (similarly to the end-users) for one week only to allow collection of additional data that will help verify the accuracy of the algorithms in the gathered data from the wearables/monitoring tools regarding BCBIs and LEIs. Overall, the outcomes and the findings of the Pilot Study will be used to further refine, optimize, and adjust the tools for the BETTER4ALL RCT, according to the feedback received by both end-users' and implementers' perspectives.
The BETTER4All Pilot Study is a multicenter, longitudinal, observational study designed to assess the usability, feasibility, and acceptability of the BETTER4U App and BETTER4U Intervention Platform, both of which integrate real-time behavioral monitoring and artificial intelligence (AI)-driven decision support tools. Conducted in seven European countries (Cyprus, France, Greece, Poland, Portugal, Spain, and Sweden), the study includes approximately 490 adult participants split into two groups: (a) "end-users" from the general population, who will use wearable devices and the mobile App for 21 days, and (b) "implementers," healthcare professionals who will test the intervention platform for 7 days using synthetic and self-recorded data. The BETTER4U system employs Bluetooth Low Energy (BLE) smartwatches for passive data collection, including accelerometer signals, heart rate variability, sleep structure, and geolocation data. Data from the wearables and smartphone sensors are processed using AI and machine learning algorithms to derive behavioral indicators such as physical activity, eating, sleep patterns (termed BETTER4U Core Behavioral Indicators - BCBIs), and contextual environmental factors (Living Environment Indicators - LEIs). These indicators are calculated both locally and on secure servers via structured data pipelines, ensuring privacy and GDPR compliance. Data collection comprises three sources: (1) passively collected wearable/App data, (2) online questionnaires via RedCap (e.g., IPAQ, GAD-2, PHQ-2, EQ-5D-5L, PSQI, Mini-EAT), and (3) "ground truth" data logged by implementers to validate algorithmic outputs. Engagement metrics, such as app usage duration and feature interaction frequency, are also automatically recorded. Feedback on usability and feasibility is collected via validated tools, including the System Usability Scale (SUS), MAUQ, AIM, IAM, and FIM. The primary technical aim is to verify and refine the causal AI models developed in earlier project phases (WP5), ensuring the system is optimized for personalized intervention delivery in the upcoming BETTER4ALL randomized controlled trial (WP7).
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
490
Participants from the general population ("end-users") will use a smartwatch and the BETTER4U mobile app for 21 days. The app passively collects data (physical activity, sleep, eating behaviors, environment), while participants may self-report certain behaviors. The goal is to assess the usability, feasibility, and acceptability of the tools and to collect real-world behavioral data for refining AI models.
Healthcare professionals and other potential implementers will test the BETTER4U Intervention Platform and mobile app for 7 days. They will assess system usability, complete synthetic case simulations, and provide daily feedback via Google Forms. They also wear the smartwatch and use the app for data validation purposes. The goal is to evaluate platform usability and collect ground-truth data for validating AI algorithm outputs.
University of Cyprus (Ucy)
Nicosia, Cyprus
RECRUITINGUniversite Lyon 1 Claude Bernard (Ucbl)
Villeurbanne, France
RECRUITINGHarokopio University
Athens, Aticca, Greece
RECRUITINGUniwersytet Swps (Swps)
Wroclaw, Poland
RECRUITINGCentro de Estudos E Investigacao Em Dinamicas Sociais E Saude Associacao Sem Fins Lucrativos (Ceidss)
Lisbon, Portugal
RECRUITINGUniversidad de Navarra (Unav)
Pamplona, Navarre, Spain
RECRUITINGKarolinska Institutet
Huddinge, Sweden
RECRUITINGSystem Usability Scale (SUS) Score - End-Users
Usability of the BETTER4U App as reported by end-users using the validated SUS questionnaire (10 items, total score 0-100).
Time frame: Day 21 (end of participation period for end-users)
System Usability Scale (SUS) Score - Implementers
Usability of the BETTER4U App and Intervention Platform as reported by implementers using the validated SUS questionnaire. Unit of Measure: Mean SUS score (0-100).
Time frame: Day 7 (end of participation period for implementers
Acceptability of Intervention Measure (AIM) Score - End-Users
Acceptability of the BETTER4U App rated by end-users using the AIM (4 items, 5-point Likert scale). Unit of Measure: Mean AIM score (1-5)
Time frame: Day 21
AIM Score - Implementers
Acceptability of the BETTER4U Intervention Platform rated by implementers using AIM. Mean AIM score (1-5)
Time frame: Day 7
Feasibility of Intervention Measure (FIM) Score - End-Users
Feasibility of the BETTER4U App as perceived by end-users. Mean FIM score (1-5)
Time frame: Day 21
FIM Score - Implementers
Feasibility of the BETTER4U Intervention Platform as perceived by implementers. Mean FIM score (1-5).
Time frame: Day 7
Intervention Appropriateness Measure (IAM) Score - End-Users
Appropriateness of the BETTER4U App as rated by end-users. Mean IAM score (1-5).
Time frame: Day 21
IAM Score - Implementers
Appropriateness of the BETTER4U Intervention Platform as rated by implementers.Mean IAM score (1-5)
Time frame: Day 7
mHealth App Usability Questionnaire (MAUQ) Score - Implementers
Usability of the Intervention Platform among implementers, assessed with the adapted MAUQ.
Time frame: Day 7
App Usage - Number of Logins (End-Users)
App engagement as measured by the number of logins during the study. Mean number of logins per participant
Time frame: Day 21
App Usage - Time Spent per Module (End-Users)
Engagement measured by the average time (in minutes) spent per module within the BETTER4U App. Mean time (minutes) per module.
Time frame: Day 21
Thematic Analysis of Open Feedback (Qualitative)
Qualitative analysis of open-ended feedback provided by participants regarding the usability and content of the BETTER4U tools.
Time frame: Day 21 (end-users) / Day 7 (implementers)
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