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Age: 65Years +
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ID06903832

Using Sit to Stand and Gait Speed Tests to Help Plan Discharge for Older Adults in Acute Hospitals

Led by National University Hospital, Singapore · Updated on 2025-04-30

60

Participants Needed

1

Research Sites

26 weeks

Total Duration

AI-Summary

What this Trial Is About

Older adults aged 65 years and older who are admitted to acute hospitals often face risks such as falls, infections, and worsening chronic conditions that can lead to functional decline. This research aims to explore whether two physical tests, the Sit to Stand Test and Gait Speed Test, can help physiotherapists make better discharge planning decisions for these older adults. The study is observational and focuses on improving discharge safety by using objective outcome measures rather than only clinical judgment. Participants will undergo assessments including the Sit to Stand Test and Gait Speed Test while admitted in the hospital, which are simple and quick measures of strength, balance, and mobility. These tests are studied for their usefulness in discharge planning. Additional measures such as calf circumference, hand grip strength, and muscle strength will also be taken during hospital stay. Follow-up assessments will be done two weeks after discharge to evaluate changes in daily living activities, fear of falling, and confidence in physical activity. During the study, participants will be evaluated through various physical tests and questionnaires both during hospital admission and after discharge. Researchers will track functional abilities, balance confidence, and physical activity levels to determine if discharge recommendations were appropriate. The study involves monitoring physical and functional status to better understand recovery and risks post-discharge, with the aim to support safe transitions back home for older adults. Participation lasts from hospital admission through at least two weeks post-discharge.

CONDITIONS

Brief Title

Discharge Recommendations for Older Adults Using Physical Outcome Measure

Research Team

H

Hui Ying Koh

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