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
Alternative medicine
Food choice
Health Professions
Logistic regression
food choice
FOS: Health sciences
Social psychology
Health Apps
Intervention (counseling)
0302 clinical medicine
Psychological intervention
Pathology
Psychology
adolescents
Internal medicine
2. Zero hunger
Human–computer interaction
Diet Quality
R
1. No poverty
artificial intelligence
FOS: Philosophy, ethics and religion
3. Good health
FOS: Psychology
Environmental health
Randomized controlled trial
randomized controlled trials
behavior change app
General Health Professions
Protocol (science)
Quality (philosophy)
Digital Health
Medicine
Odds
Public aspects of medicine
RA1-1270
digital food environment
Mobile Health Interventions and Applications
dietary assessment method
Usability
Nursing
Epistemology
Applied psychology
03 medical and health sciences
acceptability
Health Sciences
Nudge theory
Healthy Eating Index
dietary guidelines
Global Trends in Obesity and Overweight Research
Nutrition facts label
mobile equipment
Phone
Dietary Patterns
Public Health, Environmental and Occupational Health
Linguistics
QA75.5-76.95
artificial intelligence - AI
Computer science
Role of Mediterranean Diet in Health Outcomes
Philosophy
Electronic computers. Computer science
FOS: Languages and literature
Surgery
measurement
DOI:
10.3389/fdgth.2022.961604
Publication Date:
2022-12-06T05:35:24Z
AUTHORS (16)
ABSTRACT
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.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (29)
CITATIONS (2)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....