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How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors
Testing digital behavior change interventions to increase farmer enrollment in the soil passport eco-scheme: null results from a large-scale randomized controlled trial in Flanders
Does socioeconomic position moderate the associations between the content and delivery features of digital behaviour change interventions for smoking cessation and intervention effectiveness? A systematic review and meta-analysis
Improving retrospective intervention descriptions: Lessons learned from research on type 2 diabetes programmes in the United Kingdom and the Republic of Ireland
Assessing multidimensional fidelity in a pilot optimization trial: A process evaluation of four intervention components supporting medication adherence in women with breast cancer
Developing a checklist to assess fidelity of training and treatment delivery of 11 for Health, a football‐based health education intervention for youth
‘A journey of self‐discovery and transformation’: A theoretical and comprehensive evaluation of the Queen's nursing institute Scotland community development programme
Applying the Non-adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework to evaluate automated evidence synthesis in health behaviour change
Using the behaviour change intervention ontology to examine the inclusion, delivery and experience of behaviour change techniques in a youth health promotion programme
Identifying behaviour change techniques, technical features and implementation options for a virtual reality intervention to motivate adult smokers to quit: A focus group study with healthcare and virtual reality experts
Behavioral change interventions, theories, and techniques to reduce physical inactivity and sedentary behavior in the general population: a scoping review
Identifying behaviour change techniques in 287 randomized controlled trials of audit and feedback interventions targeting practice change among healthcare professionals
Identifying and characterising digital behaviour change interventions to improve fruit and vegetable intake in low-socioeconomic status primary school children: a systematic review
Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project
Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project
Towards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis
Annotating datasets in behavioural and social sciences to promote interoperability: development of the Schema for Ontology-based Dataset Annotation (SODA) version 1.0
Use of an ontology-based framework for annotating reports of randomised trials of interventions aimed at reducing excessive driving speed: a feasibility study
A transparent process for creating behavioural systems maps to inform population simulation models which aim to explain and predict public health policy effects: the case of smoking cessation in England
Identifying behaviour change techniques in 287 randomized controlled trials of audit and feedback interventions targeting practice change among healthcare professionals
Stakeholder Consensus on an Interdisciplinary Terminology to Enable the Development and Uptake of Medication Adherence Technologies Across Health Systems: Web-Based Real-Time Delphi Study
Developing an Evidence- and Theory-Informed Mother-Daughter mHealth Intervention Prototype Targeting Physical Activity in Preteen Girls of Low Socioeconomic Position: Multiphase Co-Design Study
Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour Change Project
RENOVAC - Recours et non-recours à la vaccination : Analyse du comportement et développement d’interventions.
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