The DietCoach study aims to investigate the requirements of a digital dietary counseling platform, and evaluate the dietitian acceptance and usability of the DietCoach platform, which was developed based on the collected requirements. Additionally, the study examines how different levels of patient food purchase data availability affect these factors. The DietCoach platform automatically tracks historic and up-to-date patient food purchase data on loyalty cards and provides nutritional analysis, assisting dietitians in the dietary counseling process. The key research questions (RQ) are: 1. What are the requirements of a digital dietary counseling system based on food purchase data? 2. What is acceptance and usability of the DietCoach platform evaluated by dietitians? 3. How does the availability of patient food purchase data influence the acceptance and perceived usability of the DietCoach platform by dietitians? Dietitians from several cantonal hospitals in the German-speaking area of Switzerland are invited to participate in the study. To answer RQ1, we conduct a workshop and a survey with dietitians to derive key requirements on dietary counseling systems. To answer RQ2 and RQ3, we use a cross-sectional, mixed-methods, between-subjects study design. Researchers will evaluate and compare the acceptance and usability of DietCoach in 3 different conditions (3 patients that had different, i.e., high, medium and low, food purchase data availability). Each participant is assigned to the data of one patient. Participants are required to: 1. use the DietCoach platform to provide at least one dietary recommendation to patient food purchase data in two separate sessions. 2. provide quantitative and qualitative feedback about the acceptance and usability of the DietCoach platform.
The DietCoach study aims to investigate the requirements of a digital dietary counseling platform, and evaluate the dietitian acceptance and usability of the DietCoach platform, which was developed based on the collected requirements. Additionally, the study examines how different levels of patient food purchase data availability affect these factors. The DietCoach platform automatically tracks historic and up-to-date patient food purchases on loyalty cards and provides nutritional analysis. Dietitians from several cantonal hospitals in the German-speaking area of Switzerland are invited to participate. To collect the key requirements of a digital dietary counseling platform based on food purchase data, we conduct a workshop and a survey, using guiding questions designed based on our research over the last years. To understand the acceptance and usability of DietCoach and how food purchase data availability influences these factors, we use a cross-sectional, mixed-methods, between-subjects study design. Each participant is assigned to the data of one patient. Participants need to: 1. use the DietCoach platform to provide at least one dietary recommendation to patient food purchase data in two separate sessions. 2. provide quantitative and qualitative feedback about the acceptance and usability of the DietCoach platform. The DietCoach usability study includes three conditions (data from three patients), defined by High, Medium, and Low levels of patient food purchase data availability. Data availability is determined by the number of baskets/items (from the major Swiss retail chain) per person in a patient household. Participants are randomly assigned to the data of one patient. In both the initial and follow-up sessions, participants need to provide at least one dietary recommendation based on the patient's health status and food purchase data over 8 weeks. The food purchase data in the follow-up session covers the 8 weeks immediately following those considered in the initial session. After completing the assigned tasks on the platform, participants are asked to complete a survey assessing their acceptance of and the usability of the DietCoach platform.
Study Type
OBSERVATIONAL
Enrollment
30
Participants are invited to give at least one dietary recommendation to a patient\'s food purchase data using the DietCoach platform.
University of St.Gallen
Sankt Gallen, St.Gallen, Switzerland
RECRUITINGKey requirements of a digital dietary counseling system based on food purchase data
The key requirements for a digital dietary counseling system based on food purchase data will be identified through the dietitian workshop and the dietitian survey. They primarily focus on: 1. food purchase data availability: number of baskets/items per person in a patient household, and the duration of data availability. 2. use cases: percentage of participants identifying critical use cases (e.g., recommending alternative food products). 3. product information: most important product information (e.g., energy, sugar) identified by dietitians for a dietary counseling system. All outcomes will be quantified using a 5-point Likert scale (from 1 very low importance to 5 very high importance), according to participant responses. Participants are additionally allowed to add more suggestions/recommendation/comments using free text.
Time frame: Immediately after the DietCoach intervention
Acceptance of the DietCoach platform
Evaluated by the modified Unified Theory of Acceptance and Use of Technology (UTAUT2) constructs. The constructs include performance expectancy, effort expectancy, facilitating conditions, hedonic motivation and behavioral intention. The construct levels can be indicated by the average score on a 7-point Likert scale.
Time frame: Immediately after the DietCoach intervention
Usability of the DietCoach platform
Measured by the average System Usability Scale (SUS) score, ranging from 0 to 100. The higher the SUS score, the better the usability
Time frame: Immediately after the DietCoach intervention
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.