Evaluation of a Sarcopenia Prediction Model and Development and Effectiveness of a Nursing Guidance Mobile App

National Taipei University of Nursing and Health Sciences120 enrolled

Overview

We evaluated a model for the prediction of high-risk populations for sarcopenia in home settings, developed a sarcopenia nursing guidance mobile application, and assessed the effectiveness of this application in influencing sarcopenia-related knowledge and self-care behavior among participants.

Study Type

OBSERVATIONAL

Enrollment

120

Conditions

Prediction of High-risk Populations for Sarcopenia

Interventions

sarcopenia nursing guidance mobile application was developedDEVICE

The application enhanced participants' sarcopenia-related knowledge and awareness regarding self-care

Eligibility

Sex: ALLMin age: 20 YearsMax age: 80 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion criteria were being a member of the public, aged ≥20 years and \<80 years, and having experience using mobile devices or smartphones. Exclusion criteria were not belonging to a high-risk population for sarcopenia and/or being unable to use the application platform.

Locations (1)

Cheng Hsin General Hospital

Taipei County, Taiwan

Outcomes

Primary Outcomes

changes in sarcopenia-related knowledge and awareness regarding self-care

In this study, the mobile app significantly improved sarcopenia-related knowledge and awareness regarding self-care among the participants

Time frame: 2019~2022

Data from ClinicalTrials.gov

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