Related Experiment Video
Updated: Oct 14, 2025

04:54
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
Published on: March 19, 2021
4.8K
Practicality and Reliability of Self Vs Administered Rapid Geriatric Assessment Mobile App
1Associate Professor Reshma A Merchant, Division of Geriatric Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, Singapore 119228, Email: reshmaa@nuhs.edu.sg, ORCID iD: 0000-0002-9032-0184.
The Journal of Nutrition, Health & Aging
|November 2, 2021
Summary
A new self-administered Rapid Geriatric Assessment (SA-RGA) app effectively identifies seniors at risk for frailty and other geriatric syndromes. This digital tool shows potential for early detection and intervention in older adults, improving health outcomes.
Area of Science:
- Geriatric Medicine
- Digital Health
- Public Health
Background:
- Geriatric syndromes like frailty, sarcopenia, and anorexia of aging significantly impact older adults' health.
- Early identification and targeted interventions are crucial for managing these conditions and improving quality of life.
- Existing assessment methods can be time-consuming or require trained personnel.
Purpose of the Study:
- To develop and cross-validate a self-administered Rapid Geriatric Assessment (SA-RGA) app.
- To compare the SA-RGA app's performance against a standard administered Rapid Geriatric Assessment (A-RGA).
- To identify older adults who may benefit from targeted interventions for geriatric syndromes.
Main Methods:
- A prospective observational study involving 123 participants aged 60 and above.
- Participants completed both the SA-RGA app and the A-RGA as a reference standard.
- The SA-RGA app screened for frailty (FRAIL), sarcopenia (SARC-F), anorexia of aging (SNAQ), and cognition, with diagnostic performance metrics calculated.
Main Results:
- The SA-RGA app demonstrated good performance in assessing weight loss, falls, chronic illness count, and fatigue.
- Participants using SA-RGA reported lower prevalence in some FRAIL scale components but higher prevalence in SARC-F strength and rising components compared to A-RGA.
- Key indicators like fatigue, multiple illnesses, weight loss, and falls showed high sensitivity, specificity, and predictive values.
Conclusions:
- The SA-RGA app is a promising tool for the early identification of older adults at risk for geriatric syndromes.
- Improvements in SA-RGA wording are suggested to enhance self-functional assessment accuracy.
- The app has the potential for integration into eHEALTH platforms globally to reduce health inequalities and build community resilience.

