Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth...

Area of Science:

• Digital Health
• Behavioral Science
• Mobile Health Interventions

Background:

• Few physical activity (PA) interventions dynamically adapt to individual behavior changes.
• Interventions targeting behavioral determinants are more effective and should evolve over time.
• Developing adaptive mobile health (mHealth) interventions requires structured frameworks.

Purpose of the Study:

• To apply two frameworks, Intervention Mapping and Behavioral Intervention Technology, for developing an adaptive, evidence-based smartphone intervention.
• To influence physical activity (PA) and sedentary behaviors (SB) through dynamic content delivery.
• To demonstrate a systematic approach for creating adaptable mHealth behavior change programs.

Main Methods:

• Utilized Intervention Mapping to identify PA determinants and behavior change techniques (BCTs).
• Employed Behavioral Intervention Technology to operationalize BCTs and delivery modes.
• Developed a proof-of-concept smartphone application with automated PA/SB capture, activity profiling, and dynamic content delivery.

Main Results:

• Successfully applied two complementary frameworks to guide intervention development.
• Created an adaptive intervention based on the integrated behavior change model, incorporating 33 BCTs and nine determinants.
• Demonstrated a dynamic approach to content delivery based on user activity profiles.

Conclusions:

• Two complementary frameworks effectively guide the development of adaptive mHealth behavior change interventions.
• This systematic approach facilitates the creation of personalized and dynamic digital health solutions.
• The methodology provides a roadmap for future development of sophisticated mHealth programs for behavior modification.