1. Intelligent Coaching Assistant for the Promotion of Healthy Habits in a Multidomain mHealth-Based Intervention for Brain Health
- Author
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Gabriele Cattaneo, Manuel Jiménez-Hernando, Patricia Sánchez-González, Alba Roca, Alvaro Pascual-Leone, David Bartrés-Faz, Josep María Tormos-Muñoz, Javier Solana-Sánchez, Joyce Gomes-Osman, Diego Moreno-Blanco, and Enrique J. Gómez
- Subjects
Decision support system ,brain health ,Health coaching ,decision support ,Health, Toxicology and Mutagenesis ,Applied psychology ,Psychological intervention ,Coaching ,Article ,Habits ,coaching ,Intervention (counseling) ,Humans ,healthy lifestyles ,mHealth ,intervention ,User profile ,business.industry ,Public Health, Environmental and Occupational Health ,Brain ,Mentoring ,Usability ,Mobile Applications ,Telemedicine ,monitoring ,Medicine ,business ,Psychology - Abstract
Brain Health is defined as the development and preservation of optimal brain integrity and neural network functioning for a given age. Recent studies have related healthy habits with better maintenance of brain health across the lifespan. As a part of the Barcelona Brain Health Initiative (BBHI), a mHealth platform has been developed with the purpose of helping people to improve and monitor their healthy habits, facilitating the delivery of health coaching strategies. A decision support system (DSS), named Intelligent Coaching Assistant (ICA), has been developed to ease the work of professional brain health coaches, helping them design and monitor adherence to multidomain interventions in a more efficient manner. Personalized recommendations are based on users’ current healthy habits, individual preferences, and motivational aspects. Taking these inputs, an initial user profile is defined, and the ICA applies an algorithm for determining the most suitable personalized intervention plan. An initial validation has been done focusing on assessing the feasibility and usability of the solution, involving 20 participants for three weeks. We conclude that this kind of technology-based intervention is feasible and implementable in real-world settings. Importantly, the personalized intervention proposal generated by the DSS is feasible and its acceptability and usability are high.
- Published
- 2021