This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (958)

Published on in Vol 4, No 1 (2016): Jan-Mar

“Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials

“Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials

“Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials

Authors of this article:

Ekaterina Volkova1 Author Orcid Image ;   Nicole Li2 Author Orcid Image ;   Elizabeth Dunford2, 3 Author Orcid Image ;   Helen Eyles1, 4 Author Orcid Image ;   Michelle Crino2 Author Orcid Image ;   Jo Michie1 Author Orcid Image ;   Cliona Ni Mhurchu1 Author Orcid Image
Article Authors Cited by (21) Tweetations (8) Metrics

Journals

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  8. Vogel M, Combs S, Kessel K. mHealth and Application Technology Supporting Clinical Trials: Today’s Limitations and Future Perspective of smartRCTs. Frontiers in Oncology 2017;7 View
  9. Zhang M, Ho R. Smartphone application for multi-phasic interventional trials in psychiatry: Technical design of a smart server. Technology and Health Care 2017;25(2):373 View
  10. Volkova E, Michie J, Corrigan C, Sundborn G, Eyles H, Jiang Y, Mhurchu C. Effectiveness of recruitment to a smartphone-delivered nutrition intervention in New Zealand: analysis of a randomised controlled trial. BMJ Open 2017;7(6):e016198 View
  11. Calegari L, Barbosa J, Marodin G, Fettermann D. A conjoint analysis to consumer choice in Brazil: Defining device attributes for recognizing customized foods characteristics. Food Research International 2018;109:1 View
  12. Chen R, Santo K, Wong G, Sohn W, Spallek H, Chow C, Irving M. Mobile Apps for Dental Caries Prevention: Systematic Search and Quality Evaluation. JMIR mHealth and uHealth 2021;9(1):e19958 View
  13. Lo B, Shi J, Wong H, Abi-Jaoudé A, Johnson A, Hollenberg E, Chaim G, Cleverley K, Henderson J, Levinson A, Robb J, Sanches M, Voineskos A, Wiljer D. Considerations for evaluating digital mental health tools remotely- reflections after a randomized trial of Thought Spot. General Hospital Psychiatry 2021;70:76 View
  14. Tonkin E, Brimblecombe J, Wycherley T. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308 View
  15. Ni Mhurchu C, Volkova E, Jiang Y, Eyles H, Michie J, Neal B, Blakely T, Swinburn B, Rayner M. Effects of interpretive nutrition labels on consumer food purchases: the Starlight randomized controlled trial ,. The American Journal of Clinical Nutrition 2017;105(3):695 View
  16. Razavi R, Xue G. Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach. Journal of Medical Internet Research 2023;25:e45332 View

Books/Policy Documents

  1. Gabel A, Schiering I, Müller S, Ertas F. Privacy and Identity Management. The Smart Revolution. View
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