• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Projects
  • Research Data
  • Organizations
  • Researchers
  • Statistics
  • More
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey
 

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

Options
  • Details
  • Files
BORIS DOI
10.7892/boris.145663
Publisher DOI
10.3390/nu12082214
PubMed ID
32722339
Description
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.
Date of Publication
2020-07-24
Publication Type
Article
Subject(s)
600 - Technology::610 - Medicine & health
600 - Technology
Language(s)
en
Contributor(s)
Vasiloglou, Maria
ARTORG Center - Artificial Intelligence in Health and Nutrition
Christodoulidis, Stergios
ARTORG Center - Artificial Intelligence in Health and Nutrition
Reber, Emilie
Universitätsklinik für Diabetologie, Endokrinologie, Ernährungsmedizin & Metabolismus (UDEM)
Stathopoulou, Thomai
ARTORG Center - Artificial Intelligence in Health and Nutrition
Lu, Ya
ARTORG Center - Artificial Intelligence in Health and Nutrition
Stanga, Zeno
Universitätsklinik für Diabetologie, Endokrinologie, Ernährungsmedizin & Metabolismus (UDEM)
Mougiakakou, Stavroula
ARTORG Center - Artificial Intelligence in Health and Nutrition
Universitäres Notfallzentrum
Additional Credits
ARTORG Center - Artificial Intelligence in Health and Nutrition
Universitätsklinik für Diabetologie, Endokrinologie, Ernährungsmedizin & Metabolismus (UDEM)
Series
Nutrients
Publisher
MDPI
ISSN
2072-6643
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: ae9592 [15.12. 16:43]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo