A framework for modeling health behavior protocols and their linkage to behavioral theory

Area of Science:

• Health Informatics
• Behavioral Science
• Digital Health

Background:

• Chronic, behavior-related diseases are increasing, highlighting the need for effective digital health solutions.
• Computerized behavioral protocols (CBPs) show promise for improving public health, but require a strong theoretical foundation.
• Challenges exist in designing CBPs, linking them to behavioral theory, and creating reusable intervention components.

Purpose of the Study:

• To address challenges in designing and evaluating theory-based computerized behavioral protocols (CBPs).
• To develop a knowledge modeling framework for describing CBPs and their theoretical underpinnings.
• To formally model a specific theory-based protocol, PACE-Adolescent, using this framework.

Main Methods:

• Utilized PROTEGE-2000 ontology editor to create a three-part knowledge model.
• Developed two sub-ontologies for behavioral interventions and psychological theories.
• Implemented a third component using Guideline Interchange Format (GLIF3) to describe protocol structure and link interventions to theory.

Main Results:

• Successfully modeled the PACE-Adolescent protocol using the developed knowledge framework.
• The framework formally describes protocol structure, intervention resources, and their links to psychological theory.
• Demonstrated a method for representing theory-based behavioral interventions within a structured ontology.

Conclusions:

• Knowledge modeling using ontologies can improve the design and evaluation of computerized health behavior protocols.
• This approach facilitates the creation of reusable components and explicit linkages to behavioral theories.
• Formalizing CBPs aids in developing more effective and widely adoptable digital health interventions.