Evidence map›Paper›PMID 36928257›Full record

ArticleJMIR research protocols2023

Violence Against Paramedics: Protocol for Evaluating 2 Years of Reports Through a Novel, Point-of-Event Reporting Process.

Justin Mausz, Elizabeth A Donnelly

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Sexist, Racist, and Homophobic Violence against Paramedics in a Single Canadian Site.International journal of environmental research and public health · 2024
    Article
  5. Article
  6. Article
  7. Prevalence and Characteristics of Violence against Paramedics in a Single Canadian Site.International journal of environmental research and public health · 2023
    Article
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

2 authors at 1 institution in 1 country.

Justin Mausz *Peel Regional Paramedic Services, Brampton, ON, Canada.ORCID https://orcid.org/0000-0001-6955-5387
Elizabeth A Donnelly *School of Social Work, The University of Windsor, Windsor, ON, Canada.ORCID https://orcid.org/0000-0001-9942-3203
University of Windsor · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence against paramedics has been described as a serious public health problem with the potential for significant physical and psychological harm, but the organizational culture within the profession encourages paramedics to consider violence as just "part of the job." Therefore, most incidents of violence are never formally documented. This limits the ability of researchers and policy makers to develop strategies that mitigate the risk and enhance paramedic safety.

objectiveFollowing the development and implementation of a novel, point-of-event violence reporting process in February 2021, our objectives are to (1) estimate the prevalence of violence and generate a descriptive profile for incidents of reported violence; (2) identify potentially high-risk service calls based on characteristics of calls that are generally known to the responding paramedics at the point of dispatch; and (3) explore underpinning themes, including intolerance based on gender, race, and sexual orientation, that contribute to incidents of violence.

methodsOur work is situated in a single paramedic service in Ontario, Canada. Using a convergent parallel mixed methods approach, we will retrospectively review 2 years of quantitative and qualitative data gathered from the External Violence Incident Report (EVIR) system from February 1 2021 through February 28, 2023. The EVIR is a point-of-event reporting mechanism embedded in the electronic patient care record (ePCR) developed through an extensive stakeholder engagement process. When completing an ePCR, paramedics are prompted to file an EVIR if they experienced violence on the call. Our methods include using descriptive statistics to estimate the prevalence of violence and describe the characteristics of reported incidents (Objective 1), logistic regression modeling to identify high-risk service calls (Objective 2), and qualitative content analysis of incident report narratives to identify underpinning themes that contribute to violence (Objective 3).

resultsAs of January 1, 2023, 377 paramedics-approximately 1 in 5 active-duty paramedics in the service-have filed a total of 975 violence reports. Early analysis suggests 40% of reports involved a physical assault on the reporting paramedic. Our team is continuing to collect data with more fulsome analyses beginning in March 2023. Our findings will provide much-needed epidemiological data on the prevalence of violence against paramedics in a single paramedic service, its contributing themes, and potential risk factors.

conclusionsOur findings will contribute to a growing body of literature demonstrating that violence against paramedics is a complex problem that requires a nuanced understanding of its scope, risk factors, and contributing circumstances. Collectively, our research will inform larger, multisite prospective studies already in the planning stage and inform organizational strategies to mitigate the risk of harm from violence. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37636.

Indexed as

abuseemergencyemergency medical servicesepidemiologicalepidemiologyharmimplementationmixed methodsoccupational healthparamedicpoint-of-event: developmentreportingsafetyviolenceworkworkplace violence

Identifiers

PMID36928257
PMCPMC10131719
OpenAlexW4312972761

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.