ArticleDigital health
The "Healthy Meals" web app for the assessment of nutritional content and food allergens in restaurant meals: Development, evaluation and validation.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Managing Food Allergies in Dining Establishments: Challenges and Innovative Solutions.Nutrients · 2025Review
- iCardioMonitor Digital Monitoring System for People with Heart Failure: Development and Evaluation of Its Accessibility and Usability.Healthcare (Basel, Switzerland) · 2024Article
- The "Breast-4Y" web app for breast cancer prevention at young age: Development, evaluation, and validation.Internet interventions · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe development and the evaluation of the Healthy Meals web app designed for professionals from different disciplines related to food, aimed to assess the nutritional and food allergen content of restaurant meals, was described.
methodsApp evaluation concerned: (1) usability, scored on a 7-point scale by 6 restaurateurs and 10 nutritionists through the Computer System Usability Questionnaire; (2) quality, scored on a 5-point scale by 10 nutritionists through the Mobile App Rating Scale; (3) validation, by two nutritionists through differences in entered nutrient contents. Ratings reliability was assessed by the interclass correlation coefficient.
resultsUsers agreed with the web app usability (mean 5.6/7 points, SD 0.9), with moderate reliability among ratings (interclass correlation coefficient = 0.57; 95% CI, 0.18 to 0.82). The web app showed good objective quality (mean 4.0/5 points, SD 0.4), with excellent reliability among nutritionists (interclass correlation coefficient = 0.91; 95% CI, 0.85 to 0.96). For web app validation, no significant differences were observed between the two nutritionists' data, with excellent reliability (interclass correlation coefficient = 0.98; 95% CI, 0.97 to 0.99). App data entry was identified as a point to improve.
conclusionsThe Healthy Meals web app designed for professionals related to food, such as restaurateurs, demonstrated to be usable, of good quality and valid for dishes nutritional assessment and food allergen identification. Points to improve were identified, while app effectiveness should be tested in trials.
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