Evidence map›Paper›PMID 29042342›Full record

ArticleJournal of medical Internet research2017

Reduction in Fall Rate in Dementia Managed Care Through Video Incident Review: Pilot Study.

Eleonore Bayen, Julien Jacquemot, George Netscher, Pulkit Agrawal, Lynn Tabb Noyce, Alexandre Bayen

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Eleonore Bayen *Pitie-Salpetriere Hospital - Assistance Publique Hôpitaux de Paris (APHP) & University Pierre et Marie Curie, Department of Neuro-Rehabilitation, Global Brain Health Institute, Memory and Aging Center, University of California, San Francisco, Paris, France.ORCID 0000-0002-0286-5521
Julien Jacquemot *SafelyYou Inc. at SkyDeck (Chief Technology Officer), Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States.ORCID 0000-0002-5829-2857
George NetscherSafelyYou Inc. at SkyDeck (Chief Technology Officer), Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States.ORCID 0000-0002-9279-1027
Pulkit AgrawalSafelyYou Inc. at SkyDeck (Chief Architect), Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States.ORCID 0000-0001-8463-9917
Lynn Tabb NoyceKentfield Hospital, Kentfield, CA, United States.ORCID 0000-0003-0652-3147
Alexandre BayenCenter for Information Technology Research in the Interest of Society and SafelyYou Inc. at SkyDeck (Chief Scientist), Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States.ORCID 0000-0002-6697-222X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls of individuals with dementia are frequent, dangerous, and costly. Early detection and access to the history of a fall is crucial for efficient care and secondary prevention in cognitively impaired individuals. However, most falls remain unwitnessed events. Furthermore, understanding why and how a fall occurred is a challenge. Video capture and secure transmission of real-world falls thus stands as a promising assistive tool.

objectiveThe objective of this study was to analyze how continuous video monitoring and review of falls of individuals with dementia can support better quality of care.

methodsA pilot observational study (July-September 2016) was carried out in a Californian memory care facility. Falls were video-captured (24×7), thanks to 43 wall-mounted cameras (deployed in all common areas and in 10 out of 40 private bedrooms of consenting residents and families). Video review was provided to facility staff, thanks to a customized mobile device app. The outcome measures were the count of residents' falls happening in the video-covered areas, the acceptability of video recording, the analysis of video review, and video replay possibilities for care practice.

resultsOver 3 months, 16 falls were video-captured. A drop in fall rate was observed in the last month of the study. Acceptability was good. Video review enabled screening for the severity of falls and fall-related injuries. Video replay enabled identifying cognitive-behavioral deficiencies and environmental circumstances contributing to the fall. This allowed for secondary prevention in high-risk multi-faller individuals and for updated facility care policies regarding a safer living environment for all residents.

conclusionsVideo monitoring offers high potential to support conventional care in memory care facilities.

Indexed as

Accidental FallsAgedDementiaFemaleHumansManaged Care ProgramsMobile ApplicationsPilot ProjectsVideo RecordingAlzheimer diseasedeep learningdementiafallmobile appvideo monitoringvideo review

Identifiers

PMID29042342
PMCPMC5663952

What OpenQuestion holds

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LicenceCC BY
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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.