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Título : | ‘Let me recommend… ’: use of digital nudges or recommender systems for overweight and obesity prevention—a scoping review protocol |
Autor : | Forberger, Sarah Reisch, Lucia A van Gorp, Peter Stahl, Christoph Christianson, Lara Halimi, Jihan De Santis, Karina Karolina Malisoux, Laurent Magistris, Tiziana de Bohn, Torsten |
Fecha de publicación : | 2024 |
Citación : | Forberger, S., Reisch, L. A., Van Gorp, P., Stahl, C., Christianson, L., Halimi, J., De Santis, K. K., Malisoux, L., de-Magistris, T., & Bohn, T. (2024). ‘Let me recommend… ’: Use of digital nudges or recommender systems for overweight and obesity prevention—a scoping review protocol. BMJ Open, 14(7), e080644. https://doi.org/10.1136/bmjopen-2023-080644 |
Resumen : | Introduction: Recommender systems, digital tools providing recommendations, and digital nudges increasingly affect our lives. The combination of digital nudges and recommender systems is very attractive for its application in preventing overweight and obesity. However, linking recommender systems with personalised digital nudges has a potential yet to be fully exploited. Therefore, this study aims to conduct a scoping review to identify which digital nudges or recommender systems or their combinations have been used in obesity prevention and to map these systems according to the target population, health behaviour, system classification (eg, mechanisms for developing recommendations, delivery channels, personalisation, interconnection, used combination), and system implementation. Methods and analysis The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guideline was used to inform protocol development. The eligibility criteria are based on the PCC framework (Population: any human; Concept: recommender systems or digital nudges; Context: obesity prevention). MEDLINE, PsycINFO, Web of Science, CINHAL, Scopus, ACM Digital Library and IEEE Xplore were searched until September 2023. Primary studies with any design published in peer-reviewed academic journals and peer-reviewed conference papers will be included. Data will be extracted into a pre-developed extraction sheet. Results will be synthesised descriptively and narratively. |
URI : | http://hdl.handle.net/10532/7210 |
Documento relativo: | https://doi.org/10.1136/bmjopen-2023-080644 |
ISSN : | 20446055 |
Licencia: | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Aparece en las colecciones: | [DOCIART] Artículos científicos, técnicos y divulgativos |
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