ArticleBMJ public health2026
Effectiveness of surveillance technology for the prevention of suicides in public spaces: a systematic review.
Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Reduction in suicides and suicide attempts following implementation of AI-based video surveillance in the Stockholm metro system: an intervention study.BMC public health · 2026Article
- The use of smart surveillance technologies for suicide prevention in public spaces: a professional stakeholder survey from the United Kingdom.BMC public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The use of surveillance technologies (eg, security cameras, motion sensors, video analytics) has been recommended for supporting suicide prevention efforts in public spaces. We sought to identify and synthesise the current evidence on the impact of surveillance technologies deployed in such environments on suicide and related outcomes. Design: Systematic review without meta-analysis. Data sources: We conducted systematic searches between 1990 and August 2025 on the following databases: PsycINFO, MEDLINE, CINAHL, Computer Source, Ovid, SPP, Web of Science, PTSDpubs, CENTRAL, ACM DL and IEEE Explore. Our searches also extended to grey literature from relevant websites. Eligibility criteria: Studies were included if they assessed the deployment of surveillance technology at a public location on suicide-related outcomes (including suicides, suicide attempts, rescue interventions and trespass events). Data extraction and synthesis: Two reviewers independently screened studies and extracted data. Study results were synthesised using narrative and tables, and the quality of studies was assessed using the Mixed Methods Appraisal Tool. Results: The searches identified 3039 items, with 15 studies meeting the eligibility criteria. Just one study provided clear evidence of a reduction in suicides (IRR=0.37, 95% CI 0.26 to 0.54) following the installation of a 'smart' surveillance system on a bridge, but its use of tension-wire sensors also restricted ease of physical access. The presence of closed-circuit television cameras was associated with a 7% reduction in rates of suicide at local rail stations in one study (IRR=0.93, 95% CI 0.88 to 0.98), but the presence of cameras was not a significant factor in two metro station studies. Additionally, two studies observed an increase in interventions (eg, rescue responses) following the installation of smart surveillance technologies on bridges (140% and 520% increases, respectively), but saw no change in suicide rates. Three studies indicated that smart surveillance technologies with audible deterrents may reduce trespass to dangerous sites, but their relevance to suicide prevention is unclear. Conclusions: The current evidence base to support the use of surveillance technologies for preventing suicides is limited. There is a clear need for further evaluations of surveillance-based interventions, including their implementation, associated measures and impacts to inform development of effective suicide prevention initiatives.
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Registered trials
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.