ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2026
Characteristics Associated With Community Violence Prevention Programs in US Hospitals: A Cross-Sectional Survey Analysis.
Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Characteristics Associated With Community Violence Prevention Programs in US Hospitals: A Cross-Sectional Survey Analysis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 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
Abstract
backgroundViolence is a social determinant of health, and hospitals are well-positioned to promote patient well-being by addressing its root causes. Understanding factors associated with hospital engagement in community violence prevention can guide intervention development and capacity building.
objectiveTo examine hospital and county-level factors associated with the presence of community violence prevention programs (CVPPs) in U.S. hospitals.
methodsThis cross-sectional study linked data from the 2022 American Hospital Association Annual Survey with county-level socioeconomic and demographic data from the US Census Bureau and all-cause homicide rates from the US Centers for Disease Control and Prevention. The sample included general medical and surgical hospitals with Medicare identification numbers. Survey-adjusted logistic regression assessed associations between hospital CVPP presence and all-cause homicide. Our response variable was whether or not the hospital had a CVPP, and our explanatory variable was county-level all-cause homicide rates. We adjusted for hospital characteristics and county-level socio-demographics.
resultsOf 4,374 hospitals, 990 (22.6%) reported having CVPPs. Compared to those without CVPPs, hospitals with CVPPs were more likely to be nonprofit (85.0% vs. 62.9%), large (> 500 beds; 16.9% vs. 4.7%), have more annual ED visits (51,873.9 vs. 26,224.5), and be urban (81.1% vs. 51.8%) (all p < 0.001). They also more frequently offered outpatient psychiatric (86.1% vs. 46.9%), substance use (74.4% vs. 23.2%), and pain management (93.1% vs. 65.2%) services. In adjusted models, homicide rates were not associated with CVPP presence (aOR = 1.01, 95% CI [0.99, 1.04]). CVPP presence was independently associated with nonprofit ownership, larger size, trauma designation, and lower social deprivation in urban counties.
conclusionsHospital and community characteristics, rather than homicide rates, predict CVPP presence. CVPPs are concentrated in larger, urban, well-resourced hospitals rather than in areas with the highest homicide rates, highlighting potential misalignment between program placement and community need.
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.