The weight of words: a scoping review of depression and suicidal ideation among 911 call takers and dispatchers
Bibliographic record
Abstract
BACKGROUND: Communicators in public safety, such as 911 telecommunicators, emergency medical dispatchers, and police and fire dispatchers, frequently deal with distressing calls, traumatic narratives, and high-stakes decisions. Despite not being physically present at crisis scenes, these experts endure psychological stress on par with first responders. This scoping review examines the prevalence and determinants of depression and suicidal ideation among public safety communicators and their co-occurrence, summarizes the occupational and personal risk factors contributing to these outcomes, and evaluates proposed mitigation strategies. RESULTS: The research indicates that depression is reported at elevated rates in this workforce, ranging from 8.4% to 73%, depending on the population and the sensitivity of the instrument, based on 11 quantitative studies published between 1995 and 2025. Although less studied, suicidal ideation appears to be significantly higher in this group compared to the general population. Contributing factors include indirect trauma exposure, shift work, emotional suppression, organizational neglect, and a history of trauma. The frequent co-occurrence of depression and suicidal ideation supports the Interpersonal Theory of Suicide as a relevant explanatory framework. CONCLUSIONS: Despite accumulating evidence, research is methodologically limited due to cross-sectional designs, inconsistent screening tools, and sample homogeneity. Existing interventions, such as peer support, debriefing, and trauma-informed training, are inconsistently applied and under-evaluated. The findings highlight a pressingneed for longitudinal research, targeted interventions, and workplace reforms that take into account the unique psychological burdens associated with communicator roles. Addressing depression and suicide risk among these professionals is critical to ensuring both workforce well-being and the continued effectiveness of public safety systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.095 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.026 | 0.022 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".