Evidence map›Paper›PMID 37415519›Full record

ArticleViolence against women2023

"If Not Me, Then Who?": Exploring the Challenges Experienced by Front-Line Clinicians Screening for, and Communicating About, Domestic Violence in the Emergency Department.

Sally Sargeant, Kathleen Baird, Amy Sweeny, Thomas Torpie

Open access · hybridAbstract read
In one paragraph

Article in Violence against women, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Sally SargeantFaculty of Health, Southern Cross University, Gold Coast, Australia.ORCID 0000-0003-0924-774X
Kathleen BairdSchool of Nursing and Midwifery, Griffith University, Gold Coast, Australia.
Amy SweenyEmergency Department, Gold Coast Hospital and Health Service, Queensland, Australia.
Thomas TorpieEmergency Department, Gold Coast Hospital and Health Service, Queensland, Australia.
Gold Coast Hospital · AUGriffith University · AUSouthern Cross University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening for domestic violence in healthcare settings increases detection. The emergency department (ED) is one setting where victims frequently attend with injuries and illnesses sustained from violence. However, screening rates remain suboptimal. There is little research about how formal screening occurs, or how less structured interactions are negotiated within the ED context. This article explores this important, but non-mandatory procedure within the context of clinician-patient interactions in Australia. A descriptive qualitative study was undertaken with 21 clinicians across seven EDs in Australia. Thematic analysis was undertaken by two researchers. Results indicate a lack of confidence around DV screening, and tensions in clinicians initiating conversation while managing their own emotional stressors. No participants expressed knowledge of formal screening processes in their workplaces. Successful DV screening programs must provide clinicians with the tools to minimize perceived discomfort in initiating and sustaining conversations while accepting patient preferences regarding disclosure.

Indexed as

Domestic ViolenceAustraliaEmergency Service, HospitalEmotionsHumansQualitative Researchdomestic violenceemergency departmentpatient communicationscreening

Identifiers

PMID37415519
PMCPMC10496418
OpenAlexW4383483173

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.