ArticlePrevention science : the official journal of the Society for Prevention Research2026
Bullying, Suicide, Substance Use, and Mass Harm: Patterns of Overlapping Threats Reported to a Statewide Anonymous Technology-Facilitated Reporting System.
Article in Prevention science : the official journal of the Society for Prevention Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Technology-facilitated anonymous/confidential reporting systems (TFRS; tip lines) are used in K-12 schools statewide in 34/50 states to enhance youth safety and prevent interpersonal and self-directed harm. Leveraging discreet and digitally relevant reporting modes including Apps, websites and call-in submission options, states receive thousands of tips annually representing a variety of concerns (e.g., suicidal ideation, substance use, weapons access, bullying, potential school shootings). Though overseers of TFRS systems anecdotally note that multiple concerns are often present in a single tip, the unstructured nature and volume of the tip data have been barriers to systems understanding the prevalence and patterns of overlap, and implications of multiple concerning behaviors on severity of the threat. Using mixed methods, this research team manually coded a random sample of just over 10% of tips submitted between November 2019 and May 2023 for concerning behaviors (n = 2739; coder inter-rater reliability = 0.92) from a statewide system, then utilized descriptive, bivariate and multivariable regression models and latent class analyses to provide estimates on prevalence, patterns of overlap, and differential effects of multiple concerns reported in a tip with the tip being identified as life-threatening. One-third of tips (32%) described multiple concerning behaviors. The most common concern reported in tips were suicide (21.2%), bullying (20.2%), and aggressive behaviors (19.3%). Regardless of the risk, multiple risk factors in a tip consistently increased the odds that a tip would be classified as life-threatening and require emergency responders. Latent patterns of overlap were best represented by a 6-class solution; patterns of overlap included aggressive behaviors or bullying with identity-based violence; suicide with non-school concerns and substance use; and mass-harm events with more generalized weapon concerns (not related to mass harm events) and other aggressive behaviors. This statewide tip line is used for a variety of reasons, and a third of tips contain reference to multiple concerning behaviors that exacerbated features of risk. The patterns identified in the present analysis can be used to further tailor the implementation of these systems, including informing training materials for students to maximize the effectiveness of these tools.
Indexed as
Identifiers
What OpenQuestion holds
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.