Investigating a novel technological solution to prevent falls in older people in hospital
Not Applicable
Completed
- Conditions
- accidental fallsInjuries and Accidents - Other injuries and accidentsPublic Health - Health service research
- Registration Number
- ACTRN12617000981325
- Lead Sponsor
- The University of Adelaide
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 3252
Inclusion Criteria
Patients aged 65 years and older, admitted to the three study wards
Exclusion Criteria
Receiving palliative treatment
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Falls rate, calculated as the number of falls divided by the number of participant bed days.<br>Falls will be collected from 3 sources: health systems computerized incident reports, daily enquiry of falls from ward team leader and hand searching of patient medical notes/electronic health records. Number of participant bed days of all participants on the trial wards.[At 103 weeks after start of control period, falls rate will be calculated.]
- Secondary Outcome Measures
Name Time Method
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
What molecular mechanisms underlie fall prevention in older hospital patients using the AmbIGeM system?
How does the effectiveness of the AmbIGeM system compare to standard fall prevention protocols in geriatric care?
Are there specific biomarkers that identify older patients most likely to benefit from the AmbIGeM intervention?
What are the potential adverse events associated with implementing an ambient intelligence system for fall prevention?
What are the current technological advancements in geriatric fall prevention systems competing with the AmbIGeM approach?