Evidence map›Paper›PMID 38020854›Full record

ArticleTrauma surgery & acute care open2023

Implementation of an emerging hospital-based violence intervention program: a multimethod study.

Christopher S Schenck, James Dodington, Lucero Paredes, Marcie Gawel, Antwan Nedd, Pepe Vega, Kathleen M O'Neill

Open access · goldAbstract read
In one paragraph

Article in Trauma surgery & acute care open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Christopher S SchenckDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-9659-2033
James DodingtonCenter for Injury & Violence Prevention, Yale New Haven Hospital, New Haven, Connecticut, USA.
Lucero ParedesDepartment of Surgery, Maine Medical Center, Portland, Maine, USA.
Marcie GawelCenter for Injury & Violence Prevention, Yale New Haven Hospital, New Haven, Connecticut, USA.
Antwan NeddCenter for Injury & Violence Prevention, Yale New Haven Hospital, New Haven, Connecticut, USA.
Pepe VegaCenter for Injury & Violence Prevention, Yale New Haven Hospital, New Haven, Connecticut, USA.
Kathleen M O'NeillDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Yale New Haven Hospital · USYale University · USMaine Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individuals who experience assaultive firearm injury are at elevated risk for violent reinjury and multiple negative physical and psychological health outcomes. Hospital-based violence intervention programs (HVIPs) may improve patient outcomes through intensive, community-based case management. Methods: We conducted a multimethod evaluation of an emerging HVIP at a large trauma center using the Results: Of the 319 HVIP-eligible individuals who presented with non-fatal assaultive firearm injury, 39 individuals (12%) were enrolled in the HVIP. Inpatient admission was independently associated with HVIP enrollment (OR 2.6, 95% CI 1.3 to 5.2; p=0.01). Facilitators of Conclusions: Credible messengers facilitate engagement with potential participants, whereas concerns around police involvement is an important barrier. Inpatient admission provides an opportunity to engage patients and may facilitate recruitment. HVIPs may benefit from increased program intensity. Level of evidence: IV.

Indexed as

wounds, gunshot

Identifiers

PMID38020854
PMCPMC10660964
OpenAlexW4388871609

What OpenQuestion holds

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LicenceCC BY-NC
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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.