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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:
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:
Full description
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:
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.
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Inclusion Criteria:
30 participants in 3 patient groups
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Central trial contact
Simon Mayer, PhD; Jing Wu, M.Sc.
Data sourced from clinicaltrials.gov
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