Translating Behavioral Interventions Onto mHealth Platforms: Developing Text Message Interventions for Smoking and...

Area of Science:

• Digital Health
• Behavioral Science
• Health Communication

Background:

• mHealth application development often lacks targeted population input, relying on limited post-intervention feedback.
• Successful mHealth interventions require early and continuous user engagement throughout the development process.
• Existing approaches often overlook user-centric design principles, potentially limiting intervention effectiveness and adoption.

Purpose of the Study:

• To demonstrate the application of qualitative methods within an iterative development framework for mHealth behavior change interventions.
• To illustrate how user input can shape the structure, content, and delivery of mobile-delivered health interventions.
• To highlight the benefits of a participatory approach in creating impactful and user-accepted mHealth tools.

Main Methods:

• Utilized qualitative methods, including focus groups and an advisory panel, to inform intervention design.
• Employed an iterative development process, integrating user feedback at multiple stages.
• Applied an 'in vivo' method to align text message content with natural texting communication styles ('fingered speech').

Main Results:

• Formative research with target populations led to significant adjustments in intervention structure, content, and delivery.
• A participatory framework successfully guided the development of text message interventions for smoking cessation and alcohol reduction.
• The iterative, user-centered approach enhanced the alignment of intervention design with user preferences and communication norms.

Conclusions:

• Integrating qualitative methods and iterative development with user input is essential for creating effective mHealth applications.
• A blended approach, combining consumer-driven and investigator-driven aims, maximizes the likelihood of user adoption and health behavior impact.
• This methodology can lead to novel, user-centric mHealth interventions with paradigm-shifting potential in public health.