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This study compared video-event identification of falls against an observational gold standard. Four trained researchers categorized falls using prescribed criteria and reached 100% accuracy in classification. They then independently rated 100 clips from multiple communities, yielding 82% sensitivity and 93.2% specificity, with discrepancies mainly during slow descents from beds.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-validity-of-video-fall-detection-for-assisted-living-residents-with-dementia-abstract/427877/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/the-validity-of-video-fall-detection-for-assisted-living-residents-with-dementia-abstract/427877.png","ImageObject",300,407,{"name":92,"@type":93},"Quinn Holloway","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-17","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the study’s purpose regarding video fall detection?","Question",{"text":112,"@type":113},"To evaluate whether identifying falls from recorded video events is valid for research by comparing it with an observational gold standard.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were fall ratings produced in the study?",{"text":117,"@type":113},"Four researchers were trained with prescribed criteria to categorize falls, then independently reviewed 100 video clips labeled as fall or non-fall.",{"name":119,"@type":110,"acceptedAnswer":120},"What were the key performance results and where did challenges occur?",{"text":121,"@type":113},"Sensitivity was 82% and specificity was 93.2%. Perfect agreement occurred for descent from standing, squatting, or kneeling, while challenges arose with slow descents from a bed to the floor.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},427877,1792209867,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":24},2336474466712,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","778 Innovation in Aging, 2025, Vol. 9, No. S2  \nAbstract citation ID: igaf122.2644  \nTHE VALIDITY OF VIDEO FALL DETECTION FOR ASSISTED LIVING RESIDENTS WITH DEMENTIA  \nLondon Jones1, Scott Davis2, Philip Sloane2, Elizabeth Peiffer3, Shirley Nickels3, and Sheryl Zimmerman2, 1. The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States, 2. University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States, 3. SafelyYou, San Francisco, California, United States  \nRoughly 25% of older adults fall each year, with rates almost twice as high among persons with dementia. Reducing falls in assisted living (AL) is especially important, given that AL is the residential setting housing most people with dementia. Unfortunately, many falls are unwitnessed and under reported, making it difficult to respond promptly and effectively. Video monitoring has emerged as a promising method of detecting falls, but the extent to which it can be used for research has not been evaluated. This study examined the validity of identifying a fall using recorded video events compared to an observational gold standard. A team of four researchers were trained to categorize falls using prescribed criteria, and achieved 100% accuracy.  \nInnovation in Aging, 2025, Vol. 9, No. S2 779  \nThen, they independently reviewed 100 video clips (50 ‘fall’and 50 ‘non-fall’) from a video database of “residents on the ground”and compared the ratings to the gold standard. Residents from six different AL communities and no more than four videos of the same resident were included. Overall sensitivity was 82%;  \nraters correctly rated 41 of 50 videos that contained falls.  \nSpecificity was 93.2%; 41 of 44 videos in which the raters identified a fall met the gold standard definition of a fall. When the initiation of descent was considered, perfect agreement was achieved for descent from standing, squatting or kneeling.  \nChallenges arose when individuals slowly descended from a bed to the floor. Based on these results, video capture of falls is a valid data source to examine, and potentially prevent, falls.","cbCaisphV3lobkrz","https://ap.wps.com/l/cbCaisphV3lobkrz","pdf",1386556,"English","# Study Objective\n# Methods\n## Rater Training and Criteria\n## Video Clip Review and Comparison\n# Results\n## Sensitivity and Specificity\n## Descent Timing Agreement\n# Challenges and Implications","[{\"question\":\"What was the study’s purpose regarding video fall detection?\",\"answer\":\"To evaluate whether identifying falls from recorded video events is valid for research by comparing it with an observational gold standard.\"},{\"question\":\"How were fall ratings produced in the study?\",\"answer\":\"Four researchers were trained with prescribed criteria to categorize falls, then independently reviewed 100 video clips labeled as fall or non-fall.\"},{\"question\":\"What were the key performance results and where did challenges occur?\",\"answer\":\"Sensitivity was 82% and specificity was 93.2%. Perfect agreement occurred for descent from standing, squatting, or kneeling, while challenges arose with slow descents from a bed to the floor.\"}]","The Validity of Video Fall Detection for Assisted Living Residents with Dementia - Abstract | PDF",1790645045]