Evaluation of a Sarcopenia Prediction Model and Development and Effectiveness of a Nursing Guidance Mobile App
NCT ID: NCT05363033
Last Updated: 2022-05-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
120 participants
OBSERVATIONAL
2019-07-01
2022-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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one group
Using a one-group pretest-posttest design
sarcopenia nursing guidance mobile application was developed
The application enhanced participants' sarcopenia-related knowledge and awareness regarding self-care
Interventions
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sarcopenia nursing guidance mobile application was developed
The application enhanced participants' sarcopenia-related knowledge and awareness regarding self-care
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
20 Years
80 Years
ALL
Yes
Sponsors
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National Taipei University of Nursing and Health Sciences
OTHER
Responsible Party
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Pei-Hung Liao
Assistant Professor
Locations
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Cheng Hsin General Hospital
Taipei County, , Taiwan
Countries
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References
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Liao PH, Huang YJ, Ho CS, Chu W. Application of machine learning and its effects on the development of a nursing guidance mobile app for sarcopenia. BMC Nurs. 2023 Oct 9;22(1):369. doi: 10.1186/s12912-023-01545-w.
Other Identifiers
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108A-06
Identifier Type: -
Identifier Source: org_study_id
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