DietCoach: Development and Dietitian Evaluation of a Digital Dietary Counseling Platform
DietCoach
1 other identifier
observational
30
1 country
1
Brief Summary
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?
- 4.use the DietCoach platform to provide at least one dietary recommendation to patient food purchase data in two separate sessions.
- 5.provide quantitative and qualitative feedback about the acceptance and usability of the DietCoach platform.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Aug 2024
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 29, 2024
CompletedFirst Submitted
Initial submission to the registry
September 9, 2024
CompletedFirst Posted
Study publicly available on registry
September 25, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2024
CompletedSeptember 25, 2024
September 1, 2024
4 months
September 9, 2024
September 20, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Key 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.
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.
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
Immediately after the DietCoach intervention
Study Arms (3)
Low patient food shopping coverage
In this group, participants need to give at least one dietary recommendation to a patient whose loyalty card(s) cover(s) a low percentage of food purchases.
Medium patient food shopping coverage
In this group, participants need to give at least one dietary recommendation to a patient whose loyalty card(s) cover(s) a medium percentage of their food purchases.
High patient food shopping coverage
In this group, participants need to give to at least one dietary recommendation to a patient whose loyalty card(s) cover(s) a high percentage of food purchases.
Interventions
Participants are invited to give at least one dietary recommendation to a patient\'s food purchase data using the DietCoach platform.
Eligibility Criteria
The study aims to include all dietitians in Switzerland as potential participants. However, since recruitment will be conducted through contacting the nutritional departments of cantonal hospitals in the German-speaking area, the participant pool is expected to consist primarily of dietitians from several cantonal hospitals located in the German-speaking region of Switzerland.
You may qualify if:
- Dietitians in Switzerland
- German-speaking (the platform is in German, a main language in Switzerland)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of St.Gallenlead
- Insel Gruppe AG, University Hospital Berncollaborator
Study Sites (1)
University of St.Gallen
Sankt Gallen, St.Gallen, 9000, Switzerland
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jing Wu, M.Sc.
University of St.Gallen
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Ph.D. Candidate and Project Leader
Study Record Dates
First Submitted
September 9, 2024
First Posted
September 25, 2024
Study Start
August 29, 2024
Primary Completion
December 30, 2024
Study Completion
December 30, 2024
Last Updated
September 25, 2024
Record last verified: 2024-09
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- SAP
- Time Frame
- The data will become available in 2024/2025, published as supplementary materials to the corresponding paper to ensure the result reproducibility. It will be available until participants request to delete their data. Published aggregated results could not be withdrawn retrospectively.
We plan to publish anonymized partial food purchase data of the selected patients, and the corresponding dietary recommendations from the DietCoach study participants (dietitians) 1. The data will be published in an anonymized form. 2. Only purchase records that can be identified by our food composition database and belong to relevant food categories will be published.