Evidence map›Paper›PMID 34137723›Full record

Observational studyJournal of medical Internet research2021

Reduction of Time on the Ground Related to Real-Time Video Detection of Falls in Memory Care Facilities: Observational Study.

Eleonore Bayen, Shirley Nickels, Glen Xiong, Julien Jacquemot, Raghav Subramaniam, Pulkit Agrawal, Raheema Hemraj, Alexandre Bayen, Bruce L Miller, George Netscher

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  3. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Eleonore BayenDepartment of Neuro-rehabilitation, Hôpital Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris, Sorbonne Université, Paris, France.ORCID 0000-0002-0286-5521
Shirley NickelsSafelyYou, Inc, San Francisco, CA, United States.ORCID 0000-0002-1504-7608
Glen XiongAlzheimer's Disease Center, Department of Neurology, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0002-8258-6767
Julien JacquemotSafelyYou, Inc, San Francisco, CA, United States.ORCID 0000-0002-5829-2857
Raghav SubramaniamSafelyYou, Inc, San Francisco, CA, United States.ORCID 0000-0002-5916-3723
Pulkit AgrawalSafelyYou, Inc, San Francisco, CA, United States.ORCID 0000-0003-2522-5823
Raheema HemrajSafelyYou, Inc, San Francisco, CA, United States.ORCID 0000-0002-4283-9205
Alexandre BayenElectrical Engineering and Computer Science Department, University of California, Berkeley, CA, United States.ORCID 0000-0002-6697-222X
Bruce L MillerGlobal Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, United States.ORCID 0000-0002-2152-4220
George NetscherSafelyYou, Inc, San Francisco, CA, United States.ORCID 0000-0002-9279-1027
SafelyYou (United States) · USUniversity of California, San Francisco · USUniversity of California, Berkeley · USUniversity of California, Davis · US

Funding

Real-time video monitoring of falls in memory-care facilities for individuals with Alzheimer's and related dementiasR43AG058354 · NIA · SAFELYYOU, INC. · PI BAYEN, ALEXANDRE, NETSCHER, GEORGE · 2017 to 2017
$150k
NIA NIH HHS R43 AG058354
6 · The paper itself

Abstract

backgroundLying on the floor for a long period of time has been described as a critical determinant of prognosis following a fall. In addition to fall-related injuries due to the trauma itself, prolonged immobilization on the floor results in a wide range of comorbidities and may double the risk of death in elderly. Thus, reducing the length of Time On the Ground (TOG) in fallers seems crucial in vulnerable individuals with cognitive disorders who cannot get up independently.

objectiveThis study aimed to examine the effect of a new technology called SafelyYou Guardian (SYG) on early post-fall care including reduction of Time Until staff Assistance (TUA) and TOG.

methodsSYG uses continuous video monitoring, artificial intelligence, secure networks, and customized computer applications to detect and notify caregivers about falls in real time while providing immediate access to video footage of falls. The present observational study was conducted in 6 California memory care facilities where SYG was installed in bedrooms of consenting residents and families. Fall events were video recorded over 10 months. During the baseline installation period (November 2017 to December 2017), SYG video captures of falls were not provided on a regular basis to facility staff review. During a second period (January 2018 to April 2018), video captures were delivered to facility staff on a regular weekly basis. During the third period (May 2018 to August 2018), real-time notification (RTN) of any fall was provided to facility staff. Two digital markers (TUA, TOG) were automatically measured and compared between the baseline period (first 2 months) and the RTN period (last 4 months). The total number of falls including those happening outside of the bedroom (such as common areas and bathrooms) was separately reported by facility staff.

resultsA total of 436 falls were recorded in 66 participants suffering from Alzheimer disease or related dementias (mean age 87 years; minimum 65, maximum 104 years). Over 80% of the falls happened in bedrooms, with two-thirds occurring overnight (8 PM to 8 AM). While only 8.1% (22/272) of falls were scored as moderate or severe, fallers were not able to stand up alone in 97.6% (247/253) of the cases. Reductions of 28.3 (CI 19.6-37.1) minutes in TUA and 29.6 (CI 20.3-38.9) minutes in TOG were observed between the baseline and RTN periods. The proportion of fallers with TOG >1 hour fell from 31% (8/26; baseline) to zero events (RTN period). During the RTN period, 76.6% (108/141) of fallers received human staff assistance in less than 10 minutes, and 55.3% (78/141) of them spent less than 10 minutes on the ground.

conclusionsSYG technology is capable of reducing TOG and TUA while efficiently covering the area (bedroom) and time zone (nighttime) that are at highest risk. After 6 months of SYG monitoring, TOG was reduced by a factor of 3. The drastic reduction of TOG is likely to decrease secondary comorbid complications, improve post-fall prognosis, and reduce health care costs.

Indexed as

Artificial IntelligenceAgedAged, 80 and overHumansAlzheimer diseaseartificial intelligencedementiafallmemory care facilitiesreal-time video detectiontime on the groundvideo monitoring

Identifiers

PMID34137723
PMCPMC8277400
OpenAlexW3170686964

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.