Actively Recruiting
A Multi-domain and Multi-component Falls Intervention Program for Community- Dwelling Older Adults: SAFE-TECH
Led by Duke-NUS Graduate Medical School · Updated on 2024-09-19
400
Participants Needed
1
Research Sites
104 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Background: Falls and fall-related injuries among older adults are a significant health problem that results in injuries, prolonged hospitalisation, reduced mobility, and poorer quality of life. Previous falls prevention programs have demonstrated the effectiveness of multi-component falls prevention interventions in improving functional outcomes and reducing falls compared to usual care. A previous trial of a tailored multi-component falls intervention program for older adults recruited from the emergency department (SAFE) found that there is significant heterogeneity in terms of falls risk factors in high falls risk older adults. Thus, the effectiveness of SAFE in participants with poorer cognitive function or had more comorbidities were less effective and less cost-effective. Therefore, the aim of this trial is to demonstrate the effectiveness of a technology-enhanced, multi-domain and multi-component falls prevention intervention in reducing number of fallers and injurious fallers among older adults with elevated fall risk. Hypothesis: Using novel wearable technologies to a) identify older adults who are at high risk of falls and more likely to benefit from a multi-component intervention and b) tailor the exercise and educational components by giving individualized biofeedback will improve the effectiveness of an enhanced multi-domain, multi-component falls intervention program for community dwelling older adults. Methodology: This study is a randomized controlled trial aimed at demonstrating the effectiveness of a technology-enhanced, multi-domain and multi-component falls prevention intervention (SAFE-TECH) in community- dwelling older adults with elevated fall risk compared with usual care. Participants in both arms are selected based on questionnaire based and wearable sensor based predictions of their falls risk. Participants in the intervention arm will receive a 12-week active falls intervention program consisting of exercise and educational components, with detailed biofeedback of their functional status.
CONDITIONS
Official Title
A Multi-domain and Multi-component Falls Intervention Program for Community- Dwelling Older Adults: SAFE-TECH
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged 60 to 95 years
- Able to walk independently or with a walking aid
- No significant cognitive impairment with an Abbreviated Mental Score-Singapore of 6 or higher
You will not qualify if you...
- Recent (past 6 months) major health problems including congestive heart failure, myocardial infarction, stroke, concussion or head injury
- End stage kidney failure requiring dialysis
- Severe asthma or chronic lung disease with symptoms at rest or mild activity
- Lower limb fractures in the past 6 months
- Blindness or deafness, even with aids
- Current chest discomfort, breathlessness, dizziness, or profuse sweating
- Amputation of lower limbs except toes, or toe amputation within last 30 days
- Living in a long-term care institution
- Currently enrolled in another randomized clinical or controlled trial involving physical exercise
- Unwilling or unable to complete baseline gait assessment or walk at least 3 minutes during the 5-minute test
AI-Screening
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Trial Site Locations
Total: 1 location
1
Centre for Ageing Research & Education
Singapore, Singapore, 169857
Actively Recruiting
Research Team
J
Jing Wen Goh
CONTACT
K
Kok Yang Tan
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
2
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