Developing and evaluating mobile health interventions that target movement behaviours

Purpose: This workshop aims to increase awareness and understanding of the opportunities and challenges related to mobile health (mHealth) interventions that target movement behaviours and build capacity around developing scalable and effective mHealth interventions. Participants will have the opportunity to design their own mHealth intervention.

Learning Objectives:
LO1: Apply a framework for the development of digital behaviour change interventions, which considers technical and behavioural perspectives.
LO2: Use a behaviour change intervention ontology to identify relevant technology-delivered behavioural change techniques and understand the underpinning mechanisms of action.
LO3: Understand the concept of just-in-time interventions and discuss opportunities of using real-time data from wearable and environmental sensors to trigger context-sensitive intervention prompts
LO4: Discuss the data-related challenges of technology-delivered interventions including access, collection, storing, use and management of data streams.

Target Audience: Individuals who design, development, implement, and/or evaluate technology-delivered movement behaviour interventions.

Organization and Method of Presentation:

Presentation 1: Participants will be introduced to a framework that can be used to guide the development of an mHealth intervention. Key steps in the development process will be considered, including complex intervention development frameworks, user-centred design, behaviour change theory, and agile methodology.

Presentation 2: Participants will learn how to use a behavioural change intervention ontology to identify relevant behaviour change techniques and related mechanisms of action that may lead to effective mHealth intervention design.

Presentation 3: Participants will be introduced to rules that govern triggering of various interactions within an mHealth intervention, with a focus on context-sensitive intervention prompts using data from wearable and environmental sensors.

Practical activity: Case studies will be discussed before participants design and present their own mHealth intervention.

Discussion: Group discussions will be facilitated around the opportunities and limitations of mHealth interventions in the context of movement behaviours with a focus on data considerations (from technical and scientific perspectives).