Evidence map›Paper›PMID 41466474›Full record

ReviewInjury epidemiology2025

Public funds, public safety: a scoping review of government spending decisions and their impact on interpersonal violence and suicide.

Julia J Lund, Julia P Schleimer, Paul M Reeping, Veronica A Pear

Abstract readReview
In one paragraph

Review in Injury epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Julia J LundDepartment of Emergency Medicine, Centers for Violence Prevention, University of California Davis, Sacramento, CA, USA. jjlund48@gmail.com.
Julia P SchleimerDepartment of Emergency Medicine, Centers for Violence Prevention, University of California Davis, Sacramento, CA, USA.
Paul M ReepingDepartment of Emergency Medicine, Centers for Violence Prevention, University of California Davis, Sacramento, CA, USA.
Veronica A PearDepartment of Emergency Medicine, Centers for Violence Prevention, University of California Davis, Sacramento, CA, USA.

Funding

ACL HHS K01CE003402NCIPC CDC HHS K01 CE003402
6 · The paper itself

Abstract

objectivesTo conduct a scoping review of research on government spending and violence.

methodsWe searched nine databases for peer-reviewed publications evaluating the association between government spending on public goods and services and (other- or self-directed) violent physical injury or death in the United States.

resultsOf 5,734 screened articles, 33 met the inclusion criteria. Over one-third of studies were published in the last ten years (n = 13). Studies most commonly evaluated spending at the state (n = 19), county (n = 5), and city (n = 5) levels. Studies examined spending on social welfare (n = 21), health (n = 12), education (n = 9), law enforcement (n = 8), and/or community development (n = 2). Outcomes were homicide/assault (n = 28) and suicide (n = 17). All studies were ecologic, 24 were serial cross-sectional, and most (n = 28) made attempts to control for confounding. Findings were mixed, but studies of social welfare, health, and education most commonly found that increased spending was significantly associated with reductions in violence.

conclusionsWhile research has varied somewhat in methodology and findings, results of this scoping review indicate that government investments in supportive services may be promising structural interventions to prevent violence and promote safety and health.

Indexed as

Government spendingSocial determinants of healthSuicide preventionViolence prevention

Identifiers

PMID41466474
PMCPMC12750604

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Registered trials

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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.