ArticleJAMA network open2026
Navigating Law Enforcement Presence in Emergency Departments.
Article in JAMA network open, 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.
- When immigration policy meets the bedside: operationalizing care and compliance.Trauma surgery & acute care open · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Law enforcement presence is widespread in emergency departments (EDs), but unregulated law enforcement exposure can be associated with poor health outcomes for survivors of violence (SOVs). Current literature has not explored the effective management of law enforcement presence in emergency medical settings that would support SOVs while allowing the priorities of other ED stakeholders (clinicians, staff, and law enforcement) to be met. Objective: To identify mutually beneficial strategies to manage and mitigate the unintended harms associated with law enforcement presence in the ED. Design, Setting, and Participants: This qualitative study was conducted between September 2020 and September 2023 in an urban level I trauma center. Trained researchers conducted semistructured interviews with hospital-based violence intervention program (HVIP) representatives and SOVs as well as focus groups with law enforcement officers (LEOs). Eligible participants included SOVs (survivors and affected family members), HVIP representatives (staff and clinicians) who had interacted with law enforcement in the ED, and LEOs (patrol officers, detectives, and captains) who had directly interacted with SOVs in the ED. Data analysis was conducted between July 2022 and October 2023. Main Outcomes and Measures: Multistakeholder perspectives on their experiences, needs, and priorities in the ED and recommendations for potential effective strategies to manage law enforcement in the ED. Mixed interviews and focus groups were used to tailor methods to the stakeholder groups and triangulate across stakeholders. A qualitative thematic analysis was used to synthesize data and develop themes. Transcripts were coded using codebooks, which were developed using study protocols and iteratively revised after rounds of independent coding. Results: In this study, 21 SOVs and 23 HVIP representatives were interviewed, and 16 LEOs participated in focus groups. Stakeholder consensus emerged on 3 main themes: triaging interactions with law enforcement, formalizing hospital staff and law enforcement training, and integrating SOV advocates in the ED. Conclusions and Relevance: This qualitative study identified 3 strategies, informed by the perspectives of multiple stakeholders, to manage law enforcement presence in the ED. Optimization of hospital environments through these 3 strategies may support SOV rights and recovery, mitigate adverse interactions between law enforcement and SOVs, and improve information sharing and job effectiveness for different stakeholders in the ED.
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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.