Skip to content
naulon
Not checkedNot checked for notices yet.

The “Healthy Meals” web app for the assessment of nutritional content and food allergens in restaurant meals: Development, evaluation and validation

Floriana Mandracchia, Lucia Tarro, Elisabet Llauradó and 2 more

Digital Health · 2022

doi:10.1177/20552076221081690 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Objective The 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. Methods App 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. Results Users 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. Conclusions The 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.

Abstract licence: CC BY-NC

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.