Evidence map›Paper›PMID 37308305›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2023

Adapting domestic abuse training to remote delivery during the COVID-19 pandemic: a qualitative study of views from general practice and support services.

Elizabeth Emsley, Eszter Szilassy, Anna Dowrick, Sharon Dixon, Anna De Simoni, Lucy Downes, Medina Johnson, Gene Feder, Chris Griffiths, Jasmina Panovska-Griffiths and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 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
1.4field-weighted citation impact, top 20% 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, 5 citations in OpenAlex.

  1. Trial
  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

12 authors at 8 institutions in 3 countries.

Elizabeth EmsleyBristol Medical School, University of Bristol, Bristol.ORCID 0009-0005-2060-1545
Eszter SzilassyBristol Medical School, University of Bristol, Bristol.ORCID 0000-0002-6267-0531
Anna DowrickNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.ORCID 0000-0002-2937-6728
Sharon DixonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.ORCID 0000-0002-7469-6093
Anna De SimoniWolfson Institute of Population Health, Queen Mary University of London, London.ORCID 0000-0001-6955-0885
Lucy DownesIdentification and Referral to Improve Safety network director.
Medina JohnsonIdentification and Referral to Improve Safety interventions, Bristol.
Gene FederBristol Medical School, University of Bristol, Bristol.ORCID 0000-0002-7890-3926
Chris GriffithsWolfson Institute of Population Health, Queen Mary University of London, London.ORCID 0000-0001-7935-8694
Jasmina Panovska-GriffithsPandemic Sciences Institute and Big Data Institute, University of Oxford, Oxford.ORCID 0000-0002-7720-1121
Estela Capelas BarbosaSchool of Policy and Global Affairs, City, University of London, London.ORCID 0000-0001-8282-131X
Vari WilemanSchool of Mental Health and Psychological Sciences, Institute of Psychiatry and Neuroscience, King's College London, London.ORCID 0000-0002-9673-8047
Queen Mary University of London · GBUniversity of Bristol · GBUniversity of Oxford · GBCity, University of London · GBKing's College London · GBMIDI (United States) · USOpen Data Institute · GBUnited Nations · US

Funding

Medical Research Council MR/T045302/1Medical Research Council MR/V041533/1Medical Research Council MR/V049879/1
6 · The paper itself

Abstract

backgroundIdentifying and responding to patients affected by domestic violence and abuse (DVA) is vital in primary care. There may have been a rise in the reporting of DVA cases during the COVID-19 pandemic and associated lockdown measures. Concurrently general practice adopted remote working that extended to training and education. IRIS (Identification and Referral to Improve Safety) is an example of an evidence-based UK healthcare training support and referral programme, focusing on DVA. IRIS transitioned to remote delivery during the pandemic.

aimTo understand the adaptations and impact of remote DVA training in IRIS-trained general practices by exploring perspectives of those delivering and receiving training. DESIGN AND

settingQualitative interviews and observation of remote training of general practice teams in England were undertaken.

methodSemi-structured interviews were conducted with 21 participants (three practice managers, three reception and administrative staff, eight general practice clinicians, and seven specialist DVA staff), alongside observation of eight remote training sessions. Analysis was conducted using a framework approach.

resultsRemote DVA training in UK general practice widened access to learners. However, it may have reduced learner engagement compared with face-to-face training and may challenge safeguarding of remote learners who are domestic abuse survivors. DVA training is integral to the partnership between general practice and specialist DVA services, and reduced engagement risks weakening this partnership.

conclusionThe authors recommend a hybrid DVA training model for general practice, including remote information delivery alongside a structured face-to-face element. This has broader relevance for other specialist services providing training and education in primary care.

Indexed as

COVID-19Domestic ViolenceGeneral PracticeCommunicable Disease ControlHumansPandemicsCOVID-19domestic violencegeneral practicequalitative researchSARS-CoV-2training activities

Identifiers

PMID37308305
PMCPMC10285687
OpenAlexW4367680788

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.