A Reference Architecture for Data-Driven and Adaptive Internet-Delivered Psychological Treatment Systems: Software...

Area of Science:

• Digital Health
• Psychotherapy Research
• Software Architecture

Background:

• Internet-delivered psychological treatment (IDPT) systems are widely used but suffer from high dropout rates and low adherence due to inflexible, non-personalized treatment architectures.
• Current IDPT systems lack adaptiveness and interoperability, hindering the reuse of materials and leading to fragmented development efforts.
• A need exists for standardized, adaptable frameworks to improve the effectiveness and user engagement of digital mental health interventions.

Purpose of the Study:

• To design, develop, and evaluate a reference architecture (RA) for adaptive IDPT systems.
• The RA aims to facilitate the creation of IDPT systems that are adaptive, interoperable, and reusable.
• To address the limitations of current IDPT systems, specifically their lack of adaptiveness and interoperability.

Main Methods:

• Investigated existing IDPT systems and identified key gaps in adaptiveness and interoperability.
• Employed model-driven engineering and Domain-Driven Design to create the RA.
• Developed an open-source prototype based on the RA and evaluated it using case studies and software architecture analysis.

Main Results:

• An RA was developed, supporting flexible user modeling and adaptive treatment delivery.
• An open-source software prototype based on the RA was created to enhance development productivity and interoperability.
• The RA facilitates reuse of treatment materials and improves communication among stakeholders.

Conclusions:

• The proposed RA is flexible and adaptable, tailoring interventions to individual patient needs, preferences, and context.
• The RA can be extended by developers and researchers for various healthcare interventions.
• This work provides a foundation for more effective and personalized digital mental health solutions.