Technical solution for data collection, data safety and data privacy legislation: experiences from the SWEET study.

Area of Science:

• Pediatric Endocrinology
• Diabetes Mellitus Research
• Public Health Surveillance

Background:

• Benchmarking data is crucial for the SWEET study to understand pediatric diabetes across European Union (EU) member states.
• Collecting comprehensive data on disease occurrence, treatment, and outcomes in children is essential for effective diabetes management.
• Establishing secure data collection methods that address legal and privacy concerns is vital for the creation of SWEET Centers of Reference (CoR).

Purpose of the Study:

• To outline the rationale behind the data collection strategy in the SWEET study.
• To detail the technical procedures implemented for data collection within the SWEET study.
• To describe the secure data management system developed for the SWEET initiative.

Main Methods:

• Data collection focuses on selected patient information from SWEET Centers of Reference (CoR).
• A modular data collection and management system was developed for the SWEET project.
• The system incorporates components for data collection, online data interchange, and a database for statistical analysis.

Main Results:

• A secure and appropriate data management system has been successfully created.
• The system facilitates the collection of essential data on pediatric diabetes across Europe.
• This infrastructure supports the benchmarking and evaluation of diabetes treatment regimens.

Conclusions:

• The SWEET study and its Centers of Reference (CoR) aim to provide continuous evaluation of diabetes treatment for European children.
• An appropriate and secure data management system is fundamental to achieving the study's objectives.
• This system ensures updated and reliable data for improving pediatric diabetes care across the EU.