Evidence map›Paper›PMID 26729380›Full record

Observational studyBMJ open2016

Outcomes of domestic violence screening at an acute London trust: are there missed opportunities for intervention?

Charlotte Warren-Gash, Angela Bartley, Jude Bayly, Peter Dutey-Magni, Sarah Edwards, Sara Madge, Charlotte Miller, Rachel Nicholas, Sheila Radhakrishnan, Leena Sathia and 3 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 29 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Charlotte Warren-GashPublic Health Department, Royal Free London NHS Foundation Trust, London, UK Institute of Health Informatics, University College London, London, UK.
Angela BartleyPublic Health Department, Royal Free London NHS Foundation Trust, London, UK.
Jude BaylyMaternity Department, Royal Free London NHS Foundation Trust, London, UK.
Peter Dutey-MagniPublic Health Department, Royal Free London NHS Foundation Trust, London, UK Geography & Environment-Department of Social Statistics & Demography, University of Southampton, Southampton, UK.
Sarah EdwardsMarlborough Clinic, Royal Free London NHS Foundation Trust, London, UK.
Sara MadgeIan Charleson Day Centre, Royal Free London NHS Foundation Trust, London, UK.
Charlotte MillerCommunity Gynaecology, Royal Free London NHS Foundation Trust, London, UK.
Rachel NicholasCommunity Safety, London Borough of Camden, London, UK.
Sheila RadhakrishnanCommunity Gynaecology, Royal Free London NHS Foundation Trust, London, UK.
Leena SathiaMarlborough Clinic, Royal Free London NHS Foundation Trust, London, UK.
Helen SwarbrickChild Safeguarding, Royal Free London NHS Foundation Trust, London, UK.
Dee BlaikieAdult Safeguarding, Royal Free London NHS Foundation Trust, London, UK.
Alison RodgerPublic Health Department, Royal Free London NHS Foundation Trust, London, UK Research Department of Infection & Population Health, University College London, London, UK.
Royal Free London NHS Foundation Trust · GBLondon Borough of Camden · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDomestic violence screening is advocated in some healthcare settings. Evidence that it increases referral to support agencies or improves health outcomes is limited. This study aimed to (1) investigate the proportion of hospital patients reporting domestic violence, (2) describe characteristics and previous hospital attendances of affected patients and (3) assess referrals to an in-house domestic violence advisor from Camden Safety Net.

designA series of observational studies.

settingThree outpatient clinics at the Royal Free London NHS Foundation Trust.

participants10,158 patients screened for domestic violence in community gynaecology, genitourinary medicine (GUM) and HIV medicine clinics between 1 October 2013 and 30 June 2014. Also 2253 Camden Safety Net referrals over the same period.

main outcome measures(1) Percentage reporting domestic violence by age group gender, ethnicity and clinic. (2) Rates of hospital attendances in the past 3 years for those screening positive and negative. (3) Characteristics, uptake and risk assessment results for hospital in-house domestic violence referrals compared with Camden Safety Net referrals from other sources.

resultsOf the 10,158 patients screened, 57.4% were female with a median age of 30 years. Overall, 7.1% reported ever-experiencing domestic violence, ranging from 5.7% in GUM to 29.4% in HIV services. People screening positive for domestic violence had higher rates of previous emergency department attendances (rate ratio (RR) 1.63, 95% CI 1.09 to 2.48), emergency inpatient admissions (RR 2.27, 95% CI 1.37 to 3.84) and day-case admissions (RR 2.03, 95% CI 1.23 to 3.43) than those screening negative. The 77 hospital referrals to the hospital-based domestic violence advisor during the study period were more likely to be taken up and to be classified as high risk than referrals from elsewhere.

conclusionsSelective screening for domestic violence in high-risk hospital clinic populations has the potential to identify affected patients and promote good uptake of referrals for in-house domestic violence support.

Indexed as

AdolescentAdultAgedDomestic ViolenceEmergency Service, HospitalFemaleHumansLondonMaleMass ScreeningMiddle AgedOutcome and Process Assessment, Health CareReferral and ConsultationYoung AdultEPIDEMIOLOGYPREVENTIVE MEDICINEPUBLIC HEALTH

Identifiers

PMID26729380
PMCPMC4716185
OpenAlexW2289330815

What OpenQuestion holds

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LicenceCC BY-NC
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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.