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'Let me recommend… ': use of digital nudges or recommender systems for overweight and obesity prevention-a scoping review protocol.
Forberger, Sarah; Reisch, Lucia A; van Gorp, Peter; Stahl, Christoph; Christianson, Lara; Halimi, Jihan; De Santis, Karina Karolina; Malisoux, Laurent; de-Magistris, Tiziana; Bohn, Torsten.
Affiliation
  • Forberger S; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany forberger@leibniz-bips.de.
  • Reisch LA; Department of Health Science, University of York, York, UK.
  • van Gorp P; Cambridge Judge Business School, University of Cambridge, Cambridge, UK.
  • Stahl C; Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Christianson L; Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg.
  • Halimi J; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
  • De Santis KK; Instituto Agroalimentario de Aragón, IA2 (CITA-Universidad de Zaragoza), Zaragoza, Spain.
  • Malisoux L; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
  • de-Magistris T; Luxembourg Institute of Health, Strassen, Luxembourg.
  • Bohn T; Instituto Agroalimentario de Aragón, IA2 (CITA-Universidad de Zaragoza), Zaragoza, Spain.
BMJ Open ; 14(7): e080644, 2024 Jul 31.
Article in En | MEDLINE | ID: mdl-39089719
ABSTRACT

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. ETHICS AND DISSEMINATION No ethical approval is required for the scoping review, as data will be obtained from publicly available sources. The results of this scoping review will be published in a peer-reviewed journal, presented at conferences and used to inform the co-creation process and intervention adaptation in the context of a HealthyW8 project (www.healthyw8.eu).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Overweight / Obesity Limits: Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Overweight / Obesity Limits: Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country: Country of publication: