Integrating Taxonomies Into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework

Published in JMIR Research Protocols, 2019

Abstract:
Digital health interventions (DHIs) have been emerging in the last decade. Due to their interdisciplinary nature, DHIs are guided and influenced by theories (eg, behavioral theories, behavior change technologies, and persuasive technology) from different research communities. However, DHIs are always coded using various taxonomies and reported in insufficient perspectives. This inconsistency and incomprehensiveness will cause difficulty in conducting systematic reviews and sharing contributions among communities. Therefore, based on existing related work, we propose a holistic framework that embeds behavioral theories, behavior change technique taxonomy, and persuasive system design principles. Including four development steps, two toolboxes, and one workflow, our framework aims to guide DHI developers to design, evaluate, and report their work in a formative and comprehensive way.

Recommended citation:
Yunlong Wang, Ahmed Fadhil, Jan-Philipp Lange, Harald Reiterer: Integrating Taxonomies into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework. JMIR Res Protoc 2019;8(1):e8055. DOI:10.2196/resprot.8055.