Evidence map›Paper›PMID 32131828›Full record

ArticleBMC medicine2020

Improving the healthcare response to domestic violence and abuse in UK primary care: interrupted time series evaluation of a system-level training and support programme.

Alex Hardip Sohal, Gene Feder, Kambiz Boomla, Anna Dowrick, Richard Hooper, Annie Howell, Medina Johnson, Natalia Lewis, Clare Robinson, Sandra Eldridge and 1 more

Abstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  5. Violence against women and girls: how can general practice respond?The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
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  17. How the RCGP Research Paper of the Year 2020 reflects our mottoThe British journal of general practice : the journal of the Royal College of General Practitioners · 2021
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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

11 authors.

Alex Hardip SohalInstitute of Population Health Sciences, Queen Mary University of London, London, UK. ahsohal@yahoo.co.uk.ORCID 0000-0002-6178-3155
Gene FederCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Kambiz BoomlaInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Anna DowrickInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Richard HooperInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Annie HowellIRISi, Bristol, England.
Medina JohnsonIRISi, Bristol, England.
Natalia LewisInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Clare RobinsonInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Sandra EldridgeInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Chris GriffithsInstitute of Population Health Sciences, Queen Mary University of London, London, UK.

Funding

National Institute for Health Research CLAHRC North Thames
6 · The paper itself

Abstract

backgroundIt is unknown whether interventions known to improve the healthcare response to domestic violence and abuse (DVA)-a global health concern-are effective outside of a trial.

methodsAn observational interrupted time series study in general practice. All registered women aged 16 and above were eligible for inclusion. In four implementation boroughs' general practices, there was face-to-face, practice-based, clinically relevant DVA training, a prompt in the electronic medical record, reminding clinicians to consider DVA, a simple referral pathway to a named advocate, ensuring direct access for women to specialist services, overseen by a national, health-focused DVA organisation, fostering best practice. The fifth comparator borough had only a session delivered by a local DVA specialist agency at community venues conveying information to clinicians. The primary outcome was the daily number of referrals received by DVA workers per 1000 women registered in a general practice, from 205 general practices, in all five northeast London boroughs. The secondary outcome was recorded new DVA cases in the electronic medical record in two boroughs. Data was analysed using an interrupted time series with a mixed effects Poisson regression model.

resultsIn the 144 general practices in the four implementation boroughs, there was a significant increase in referrals received by DVA workers-global incidence rate ratio of 30.24 (95% CI 20.55 to 44.77, p < 0.001). There was no increase in the 61 general practices in the other comparator borough (incidence rate ratio of 0.95, 95% CI 0.13 to 6.84, p = 0.959). New DVA cases recorded significantly increased with an incident rate ratio of 1.27 (95% CI 1.09 to 1.48, p < 0.002) in the implementation borough but not in the comparator borough (incidence rate ratio of 1.05, 95% CI 0.82 to 1.34, p = 0.699).

conclusionsImplementing integrated referral routes, training and system-level support, guided by a national health-focused DVA organisation, outside of a trial setting, was effective and sustainable at scale, over four years (2012 to 2017) increasing referrals to DVA workers and new DVA cases recorded in electronic medical records.

Indexed as

AdolescentAdultDomestic ViolenceFemaleHumansInterrupted Time Series AnalysisPrimary Health CareUnited KingdomYoung AdultComplexDomestic violence abuseEvaluationImplementationImprovementInterrupted time-seriesObservational

Identifiers

PMID32131828
PMCPMC7057596

What OpenQuestion holds

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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.