Clinical trials: Fall Risk, open to volunteers
Hearing Loss, Dizziness
Fall Risk Assessment and Speech Intelligibility Enhancement Using In-ear Device
The purpose of this study is to develop and validate methods to use hearing aids equipped with embedded sensors and artificial intelligence to assist in the assessment of fall risk and in the implementation of interventions aimed…
- Conditions
- Hearing Loss, Dizziness, Vertigo, Fall Related Injury Risk
- Trial name
- NCT05365646
- Testing
- Hearing aids equipped with motion sensing abilities
- Where
- United States
- Volunteers
- 350 people, healthy volunteers welcome
- Sponsor
- Stanford University
Aging, Asymmetry
Fall Risk in Adults Over 65: The Relevance of Morphological and Functional Lower Limb Asymmetries.
Falls among older adults represent a major public health burden. Approximately 30% of individuals aged 65 and older experience at least one fall each year.
- Conditions
- Aging, Asymmetry, Fall Risk Factors, Fall Prevention
- Trial name
- ASY&FALL (NCT07742397)
- Where
- Italy
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
Fall Risk Assessment, Tele-assessment Reliability
''The Agreement Between Face-to-face and Tele-assessment of Fullerton Advanced Balance (FAB) Scale in Older People''
The purpose of this study is to examine the measurement consistency and reliability of the Fullerton Advanced Balance Scale (FAGBS) between the tele-assessment method and the face-to-face assessment method.
- Conditions
- Fall Risk Assessment, Tele-assessment Reliability, Geriatric Population
- Trial name
- FAB (NCT07178028)
- Where
- Turkey (Türkiye)
- Volunteers
- 52 people, healthy volunteers welcome
- Sponsor
- Istanbul University - Cerrahpasa
Falls Risk
Examining Nurses' Trust and Acceptance of FAIR, an AI-powered Falls Risk Recommender
An exploratory mixed-method study will be conducted to test acceptance and trust of an AI-powered falls risk predictor system by inpatient hospital nurses
- Trial name
- NCT07078240
- Testing
- Falls risk - Artificial Intelligence Recommender (FAIR), modified Western Health Falls Risk Assessment Tool (mWHeFRA)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Tan Tock Seng Hospital
Aged 65 Years or Older, Community Dwelling Older Adults
Validating a Multifactorial Algorithm to Predict Fall Risk in Community Dwelling Older Persons Aged 65 Years or Older
Falls in older adults have an annual incidence between 23 and 34% for persons of 65 years and older. The lack of transfer of promising research results on falls prevention to daily practice may have several explanations.
- Conditions
- Aged 65 Years or Older, Community Dwelling Older Adults, Falls Risk, Falls (Accidents) in Old Age
- Trial name
- NCT06961799
- Testing
- Multifactorial algorithm to predict fall risk
- Where
- Belgium
- Volunteers
- 228 people, healthy volunteers welcome
- Sponsor
- University Ghent
Aging, Fall Risk Factors
Use of Virtual Reality for the Assessment of Attentional and Reaction Abilities for Fall Risk Evaluation
Aging is a condition characterized by a general decline in physical and cognitive performance, however its effects on various functions are still controversial.
- Conditions
- Aging, Fall Risk Factors, Sleep
- Trial name
- NCT06940245
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio