Evidence map›Paper›PMID 33960952›Full record

ArticleJMIR mental health2021

The Use of Closed-Circuit Television and Video in Suicide Prevention: Narrative Review and Future Directions.

Sandersan Onie, Xun Li, Morgan Liang, Arcot Sowmya, Mark Erik Larsen

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Understanding and detecting behaviours prior to a suicide attempt: A mixed-methods study.The Australian and New Zealand journal of psychiatry · 2023
    Article
  6. Article
  7. Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022
    Article
  8. Article
  9. Article
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

5 authors at 2 institutions in 1 country.

Sandersan Onie *Black Dog Institute, University of New South Wales, Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-2147-8102
Xun LiSchool of Computer Science and Engineering, University of New South Wales, Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-1717-0669
Morgan LiangSchool of Computer Science and Engineering, University of New South Wales, Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-6215-3649
Arcot SowmyaSchool of Computer Science and Engineering, University of New South Wales, Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-9236-5063
Mark Erik LarsenBlack Dog Institute, University of New South Wales, Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-0272-2053
UNSW Sydney · AUBlack Dog Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicide is a recognized public health issue, with approximately 800,000 people dying by suicide each year. Among the different technologies used in suicide research, closed-circuit television (CCTV) and video have been used for a wide array of applications, including assessing crisis behaviors at metro stations, and using computer vision to identify a suicide attempt in progress. However, there has been no review of suicide research and interventions using CCTV and video.

objectiveThe objective of this study was to review the literature to understand how CCTV and video data have been used in understanding and preventing suicide. Furthermore, to more fully capture progress in the field, we report on an ongoing study to respond to an identified gap in the narrative review, by using a computer vision-based system to identify behaviors prior to a suicide attempt.

methodsWe conducted a search using the keywords "suicide," "cctv," and "video" on PubMed, Inspec, and Web of Science. We included any studies which used CCTV or video footage to understand or prevent suicide. If a study fell into our area of interest, we included it regardless of the quality as our goal was to understand the scope of how CCTV and video had been used rather than quantify any specific effect size, but we noted the shortcomings in their design and analyses when discussing the studies.

resultsThe review found that CCTV and video have primarily been used in 3 ways: (1) to identify risk factors for suicide (eg, inferring depression from facial expressions), (2) understanding suicide after an attempt (eg, forensic applications), and (3) as part of an intervention (eg, using computer vision and automated systems to identify if a suicide attempt is in progress). Furthermore, work in progress demonstrates how we can identify behaviors prior to an attempt at a hotspot, an important gap identified by papers in the literature.

conclusionsThus far, CCTV and video have been used in a wide array of applications, most notably in designing automated detection systems, with the field heading toward an automated detection system for early intervention. Despite many challenges, we show promising progress in developing an automated detection system for preattempt behaviors, which may allow for early intervention.

Indexed as

CCTVcomputer visionmachine learningsuicidesuicide preventionvideo

Identifiers

PMID33960952
PMCPMC8140380
OpenAlexW3158122329

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.