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

May 2, 2022 updated by: Pei-Hung Liao, National Taipei University of Nursing and Health Sciences
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 Overview

Study Type

Observational

Enrollment (Anticipated)

120

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taipei county, Taiwan, 112
        • Cheng Hsin General Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years to 76 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

We adopted the convenient sampling method to recruit 120 participants-those who visited the hospital regularly and their accompanying family members

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Only
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
one group
Using a one-group pretest-posttest design
The application enhanced participants' sarcopenia-related knowledge and awareness regarding self-care

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
changes in sarcopenia-related knowledge and awareness regarding self-care
Time Frame: 2019~2022
In this study, the mobile app significantly improved sarcopenia-related knowledge and awareness regarding self-care among the participants
2019~2022

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2019

Primary Completion (Anticipated)

December 1, 2022

Study Completion (Anticipated)

December 1, 2022

Study Registration Dates

First Submitted

May 2, 2022

First Submitted That Met QC Criteria

May 2, 2022

First Posted (Actual)

May 5, 2022

Study Record Updates

Last Update Posted (Actual)

May 5, 2022

Last Update Submitted That Met QC Criteria

May 2, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Prediction of High-risk Populations for Sarcopenia

Clinical Trials on sarcopenia nursing guidance mobile application was developed

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