Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis
By Olga Perski, Ann Blandford, Robert West, Susan Michie. Translational Behavioral Medicine, 2016
1,058 citations recorded by the source corpus.
Abstract“Engagement” with digital behaviour change interventions (DBCIs) is considered important for their effectiveness. Evaluating engagement is therefore a priority; however, a shared understanding of how to usefully conceptualise engagement is lacking. This review aimed to synthesise literature on engagement to identify key conceptualisations and to develop an integrative conceptual framework involving potential direct and indirect influences on engagement and relationships between engagement and intervention effectiveness. Four electronic databases (Ovid MEDLINE, PsycINFO, ISI Web of Knowledge, ScienceDirect) were searched in November 2015. We identified 117 articles that met the inclusion criteria: studies employing experimental or non-experimental designs with adult participants explicitly or implicitly referring to engagement with DBCIs, digital games or technology. Data were synthesised using principles from critical interpretive synthesis. Engagement with DBCIs is conceptualised in terms of both experiential and behavioural aspects. A conceptual framework is proposed in which engagement with a DBCI is influenced by the DBCI itself (content and delivery), the context (the setting in which the DBCI is used and the population using it) and the behaviour that the DBCI is targeting. The context and “mechanisms of action” may moderate the influence of the DBCI on engagement. Engagement, in turn, moderates the influence of the DBCI on those mechanisms of action. In the research literature, engagement with DBCIs has been conceptualised in terms of both experience and behaviour and sits within a complex system involving the DBCI, the context of use, the mechanisms of action of the DBCI and the target behaviour.
Subfields: Applied Psychology, General Health Professions, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a045bf19de7227d569f01a56785809ca0b49ac1b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- C. Short
- S. Rowland
- J. Fitzgerald
- Susan L. Williams
- C. Woods
- M. Hingle
- A. Mcgregor
- Louise Poppe
Citations in the corpus
- Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies (2018, methodology): “According to Perksi et al [4], high engagement influences behavior change through its influence on the determinants of behavior (similar to macroengagement, as described by Yardley et al).”
- What is the clinical value of mHealth for patients? (2020, background): “Apps are potentially powerful platforms for delivery of behavior change interventions because they can improve engagement with established strategies for prevention and treatment of disease through personalized goal setting, individualized dosing reminders, and gamification.(9) Apps that are linked ”