Using the behaviour change wheel framework to develop a rule-based chatbot to support varenicline adherence for smoking cessation
This study demonstrates a structured, theory-informed approach to chatbot development for medication adherence. By integrating evidence-based behaviour change principles with practical considerations, ChatV offers a model for designing rule-based conversational agents in healthcare.
Authors
- Osnat C. Melamed (ORCID: https://orcid.org/0000-0002-9663-2226)
- Kamna Mehra (ORCID: https://orcid.org/0000-0001-9856-213X)
- Peter Selby (ORCID: https://orcid.org/0000-0001-5401-2996)
- Nadia Minian (ORCID: https://orcid.org/0000-0001-8179-3628)
- Victor M. Tang (ORCID: https://orcid.org/0000-0001-5365-9683)
- Matt Ratto (ORCID: https://orcid.org/0000-0002-3554-4513)
- Scott Veldhuizen (ORCID: https://orcid.org/0000-0003-3969-2756)
- Laurie Zawertailo (ORCID: https://orcid.org/0000-0002-4547-1565)
- Ryan Ting‐A‐Kee (ORCID: https://orcid.org/0009-0005-2131-7052)
- Jonathan Rose (ORCID: https://orcid.org/0000-0002-3551-2175)
Institutions
- Centre for Addiction and Mental Health (CA)
- University of Toronto (CA)
- Public Health Ontario (CA)
- Schwartz/Reisman Emergency Medicine Institute (CA)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251380324
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00