Telenutrition Adoption Among Saudi Registered Dietitians: Experiences, Barriers, and Readiness for Digital Implementation

Saudi RDs show strong confidence, active use, and readiness to engage with flexible, part-time telenutrition models. These findings provide foundational evidence to support the development of user-centered, nationally digital platforms tailored to the needs of RDs in Saudi Arabia.

Authors

Institutions

Publication Details

Journal
Telemedicine Journal and e-Health
Published
2025-11-13
DOI
https://doi.org/10.1177/15305627251393841
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Telenutrition Adoption Among Saudi Registered Dietitians: Experiences, Barriers, and Readiness for Digital Implementation

Noura Eid, Eram Albajri, Ghazi E. Alrashidi
Telemedicine Journal and e-Health
Mobile Health and mHealth Applications
article

Telenutrition Adoption Among Saudi Registered Dietitians: Experiences, Barriers, and Readiness for Digital Implementation

Noura Eid, Eram Albajri, Ghazi E. Alrashidi
article en

Abstract

Saudi RDs show strong confidence, active use, and readiness to engage with flexible, part-time telenutrition models. These findings provide foundational evidence to support the development of user-centered, nationally digital platforms tailored to the needs of RDs in Saudi Arabia.

Telemedicine Journal and e-HealthVol. 32(2)
King Abdulaziz University (SA)
Openalex Percentile: Top 48%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.