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Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test

Unhealthy diets are a critical global concern while dietary measure methods are time consuming and expensive. There is limited evidence that phone-based interventions can improve nutrition data collection and dietary quality, especially for adolescents in developing countries. We developed an artifi...

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Autores principales: Braga, Bianca C., Arrieta, Alejandra, Bannerman, Boateng, Doyle, Frank, Folson, Gloria, Gangupantulu, Rohit, Hoang, Nga Thu, Huynh, Phuong Nam, Koch, Bastien, McCloskey, Peter, Tran, Lan Mai, Tran, Trang Huyen T., Truong, Duong Thuy T., Nguyen, Phuong H., Hughes, David, Gelli, Aulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763447/
https://www.ncbi.nlm.nih.gov/pubmed/36561922
http://dx.doi.org/10.3389/fdgth.2022.961604
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author Braga, Bianca C.
Arrieta, Alejandra
Bannerman, Boateng
Doyle, Frank
Folson, Gloria
Gangupantulu, Rohit
Hoang, Nga Thu
Huynh, Phuong Nam
Koch, Bastien
McCloskey, Peter
Tran, Lan Mai
Tran, Trang Huyen T.
Truong, Duong Thuy T.
Nguyen, Phuong H.
Hughes, David
Gelli, Aulo
author_facet Braga, Bianca C.
Arrieta, Alejandra
Bannerman, Boateng
Doyle, Frank
Folson, Gloria
Gangupantulu, Rohit
Hoang, Nga Thu
Huynh, Phuong Nam
Koch, Bastien
McCloskey, Peter
Tran, Lan Mai
Tran, Trang Huyen T.
Truong, Duong Thuy T.
Nguyen, Phuong H.
Hughes, David
Gelli, Aulo
author_sort Braga, Bianca C.
collection PubMed
description Unhealthy diets are a critical global concern while dietary measure methods are time consuming and expensive. There is limited evidence that phone-based interventions can improve nutrition data collection and dietary quality, especially for adolescents in developing countries. We developed an artificial-intelligence-based phone application called Food Recognition Assistance and Nudging Insights (FRANI) to address these problems. FRANI can recognize foods in images, track food consumption, display statistics and use gamified nudges to give positive feedback on healthy food choice. This study protocol describes the design of new pilot studies aimed at measuring the feasibility (acceptability, adherence, and usability) of FRANI and its effects on the quality of food choice of adolescents in Ghana and Vietnam. In each country, 36 adolescents (12–18 years) will be randomly allocated into two groups: The intervention group with the full version of FRANI and the control group with the functionality limited to image recognition and dietary assessment. Participants in both groups will have their food choices tracked for four weeks. The control groups will then switch to the full version of FRANI and both groups will be tracked for a further 2 weeks to assess acceptability, adherence, and usability. Analysis of outcomes will be by intent to treat and differences in outcomes between intervention and control group will use Poisson and odds ratio regression models, accounting for repeated measures at individual levels. If deemed feasible, acceptable and usable, FRANI will address gaps in the literature and advance the nutrition field by potentially improving the quality of food choices of adolescent girls in developing countries. This pilot study will also provide insights on the design of a large randomized controlled trial. The functioning and dissemination of FRANI can be an important step towards highly scalable nutrition data collection and healthier food choices for a population at risk of malnutrition. The study protocol and the methods and materials were approved by the Institutional Review Board (IRB) of the IFPRI on April 29th, 2020 (registration number #00007490), the Thai Nguyen National Hospital on April 14th, 2020 (protocol code 274/ĐĐĐ-BVTWTN) and the University of Ghana on August 10th, 2020 (Federalwide Assurance FWA 00001824; NMIMR-IRB CPN 078–19/20). The study protocol was registered in the International Standard Randomized Controlled Trial Number (ISRCTN 10681553; https://doi.org/10.1186/ISRCTN10681553) on November 12, 2021.
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spelling pubmed-97634472022-12-21 Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test Braga, Bianca C. Arrieta, Alejandra Bannerman, Boateng Doyle, Frank Folson, Gloria Gangupantulu, Rohit Hoang, Nga Thu Huynh, Phuong Nam Koch, Bastien McCloskey, Peter Tran, Lan Mai Tran, Trang Huyen T. Truong, Duong Thuy T. Nguyen, Phuong H. Hughes, David Gelli, Aulo Front Digit Health Digital Health Unhealthy diets are a critical global concern while dietary measure methods are time consuming and expensive. There is limited evidence that phone-based interventions can improve nutrition data collection and dietary quality, especially for adolescents in developing countries. We developed an artificial-intelligence-based phone application called Food Recognition Assistance and Nudging Insights (FRANI) to address these problems. FRANI can recognize foods in images, track food consumption, display statistics and use gamified nudges to give positive feedback on healthy food choice. This study protocol describes the design of new pilot studies aimed at measuring the feasibility (acceptability, adherence, and usability) of FRANI and its effects on the quality of food choice of adolescents in Ghana and Vietnam. In each country, 36 adolescents (12–18 years) will be randomly allocated into two groups: The intervention group with the full version of FRANI and the control group with the functionality limited to image recognition and dietary assessment. Participants in both groups will have their food choices tracked for four weeks. The control groups will then switch to the full version of FRANI and both groups will be tracked for a further 2 weeks to assess acceptability, adherence, and usability. Analysis of outcomes will be by intent to treat and differences in outcomes between intervention and control group will use Poisson and odds ratio regression models, accounting for repeated measures at individual levels. If deemed feasible, acceptable and usable, FRANI will address gaps in the literature and advance the nutrition field by potentially improving the quality of food choices of adolescent girls in developing countries. This pilot study will also provide insights on the design of a large randomized controlled trial. The functioning and dissemination of FRANI can be an important step towards highly scalable nutrition data collection and healthier food choices for a population at risk of malnutrition. The study protocol and the methods and materials were approved by the Institutional Review Board (IRB) of the IFPRI on April 29th, 2020 (registration number #00007490), the Thai Nguyen National Hospital on April 14th, 2020 (protocol code 274/ĐĐĐ-BVTWTN) and the University of Ghana on August 10th, 2020 (Federalwide Assurance FWA 00001824; NMIMR-IRB CPN 078–19/20). The study protocol was registered in the International Standard Randomized Controlled Trial Number (ISRCTN 10681553; https://doi.org/10.1186/ISRCTN10681553) on November 12, 2021. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763447/ /pubmed/36561922 http://dx.doi.org/10.3389/fdgth.2022.961604 Text en © 2022 Braga, Arrieta, Bannerman, Doyle, Folson, Gangupantulu, Hoang, Huynh, Koch, McCloskey, Tran, Tran, Truong, Nguyen, Hughes and Gelli. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Braga, Bianca C.
Arrieta, Alejandra
Bannerman, Boateng
Doyle, Frank
Folson, Gloria
Gangupantulu, Rohit
Hoang, Nga Thu
Huynh, Phuong Nam
Koch, Bastien
McCloskey, Peter
Tran, Lan Mai
Tran, Trang Huyen T.
Truong, Duong Thuy T.
Nguyen, Phuong H.
Hughes, David
Gelli, Aulo
Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
title Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
title_full Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
title_fullStr Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
title_full_unstemmed Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
title_short Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
title_sort measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in ghana and vietnam: protocol of a randomized controlled pilot test
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763447/
https://www.ncbi.nlm.nih.gov/pubmed/36561922
http://dx.doi.org/10.3389/fdgth.2022.961604
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