What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey

Vasiloglou, Maria F.; Christodoulidis, Stergios; Reber, Emilie; Stathopoulou, Thomai; Lu, Ya; Stanga, Zeno; Mougiakakou, Stavroula (2020). What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey. Nutrients, 12(8) Molecular Diversity Preservation International MDPI https://doi.org/10.3390/nu12082214

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Accurate dietary assessment is crucial for both the prevention and treatment of nutrition-related diseases. Since mobile-based dietary assessment solutions are promising, we sought to examine the acceptability of “Nutrition and Diet” (ND) apps by Healthcare Professionals (HCP), explore their preferences on apps’ features and identify predictors of acceptance. A 23 question survey was developed by an interdisciplinary team and pilot-tested. The survey was completed by 1001 HCP from 73 countries and 6 continents. The HCP (dietitians: 833, doctors: 75, nurses: 62, other: 31/females: 847, males: 150, neither: 4) had a mean age (SD) of 34.4 (10.2) years and mean job experience in years (SD): 7.7 (8.2). There were 45.5% who have recommended ND apps to their clients/patients. Of those who have not yet recommended an app, 22.5% do not know of their existence. Important criteria for selecting an app were ease of use (87.1%), apps being free of charge (72.6%) and validated (69%). Significant barriers were the use of inaccurate food composition database (52%), lack of local food composition database support (48.2%) and tech-savviness (43.3%). Although the adoption of smartphones is growing and mobile health research is advancing, there is room for improvement in the recommendation of ND apps by HCP.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Health and Nutrition

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Vasiloglou, Maria; Christodoulidis, Stergios; Reber, Emilie; Stathopoulou, Thomai; Lu, Ya; Stanga-Nodari, Zeno and Mougiakakou, Stavroula

Subjects:

600 Technology
600 Technology > 610 Medicine & health

ISSN:

2072-6643

Publisher:

Molecular Diversity Preservation International MDPI

Language:

English

Submitter:

Stavroula Mougiakakou

Date Deposited:

10 Aug 2020 14:49

Last Modified:

16 Aug 2020 02:51

Publisher DOI:

https://doi.org/10.3390/nu12082214

PubMed ID:

32722339

BORIS DOI:

10.7892/boris.145663

URI:

https://boris.unibe.ch/id/eprint/145663

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