Clinical trials: Older Adults At Risk of Falling
Frail Elderly Syndrome
A Machine Learning Algorithm to Predict Health Clinical Situations in Primary Healthcare for Frail Older Adults.
Introduction: We developed a machine learning algorithm to predict the risk of emergency hospitalization within the new 7 to 14 days with a good predictive performance (AUC=0.85).
- Trial name
- NCT06013709
- Testing
- PRESAE CARE
- Volunteers
- 1,478 people
- Sponsor
- Presage
Hip Injuries, Fractures, Hip
Mitigation of Major Hip Injury Due to Fall With a Smart Belt
Multi-center, comparative, non-significant risk adaptive study with retrospective controls. After providing informed consent and being screened for eligibility, intervention subjects will be prescribed and provided an…
- Conditions
- Hip Injuries, Fractures, Hip, Fall Injury, Fall Risk
- Trial name
- NCT05245097
- Testing
- Tango Belt, Standard of Care (SOC)
- Where
- 10 sites in United States
- Volunteers
- 471 people
- Sponsor
- ActiveProtective Technologies, Inc
Accidental Falls, Fractures
Clinical Evaluation of a Wireless Monitoring Device to Reduce Falls in the Elderly and Others at High Risk of Falling
Falls are a public health problem of significant social and economic significance. No primary intervention devices have been shown to be effective in reducing falls and associated injuries.
- Conditions
- Accidental Falls, Fractures, Injuries
- Trial name
- NCT00249743
- Testing
- FallSaver (formerly called NOCwatch)
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- NOCwatch International