Title |
Development and validation of a questionnaire for analyzing real-life falls in long-term care captured on video
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Published in |
BMC Geriatrics, May 2013
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DOI | 10.1186/1471-2318-13-40 |
Pubmed ID | |
Authors |
Yijian Yang, Rebecca Schonnop, Fabio Feldman, Stephen N Robinovitch |
Abstract |
Falls are the number one cause of injuries in older adults, and are particularly common in long-term care (LTC). Lack of objective evidence on the mechanisms of falls in this setting is a major barrier to prevention. Video capture of real-life falls can help to address this barrier, if valid tools are available for data analysis. To address this need, we developed a 24-item fall video analysis questionnaire (FVAQ) to probe key biomechanical, behavioural, situational, and environmental aspects of the initiation, descent, and impact stages of falls. We then tested the reliability of this tool using video footage of falls collected in LTC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 2% |
Spain | 1 | <1% |
Unknown | 123 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 20 | 16% |
Student > Ph. D. Student | 19 | 15% |
Student > Bachelor | 18 | 14% |
Researcher | 13 | 10% |
Professor | 6 | 5% |
Other | 18 | 14% |
Unknown | 32 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 21% |
Nursing and Health Professions | 19 | 15% |
Engineering | 13 | 10% |
Sports and Recreations | 8 | 6% |
Agricultural and Biological Sciences | 4 | 3% |
Other | 18 | 14% |
Unknown | 38 | 30% |