Evidence map›Paper›PMID 26200817›Full record

SynthesisThe Cochrane database of systematic reviews2015

Screening women for intimate partner violence in healthcare settings.

Lorna O'Doherty, Kelsey Hegarty, Jean Ramsay, Leslie L Davidson, Gene Feder, Angela Taft

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 14 pooled it
38.2field-weighted citation impact, top 1% 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

148 citing papers in PubMed, 14 syntheses or guidelines pooled it, 445 citations in OpenAlex.

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  8. A Mixed-Methods Systematic Review: Infidelity, Romantic Jealousy and Intimate Partner Violence against Women.International journal of environmental research and public health · 2020
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  9. Psychological therapies for women who experience intimate partner violence.The Cochrane database of systematic reviews · 2020
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88 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 3 countries.

Lorna O'DohertyCentre for Research in Psychology, Behaviour and Achievement, Coventry University, Priory Street, Coventry, UK, CV1 5FB.
Kelsey Hegarty
Jean Ramsay
Leslie L Davidson
Gene Feder
Angela Taft
Columbia University · USCoventry University · GBLa Trobe University · AUQueen Mary University of London · GBUniversity of Bristol · GBUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntimate partner violence (IPV) damages individuals, their children, communities, and the wider economic and social fabric of society. Some governments and professional organisations recommend screening all women for IPV rather than asking only women with symptoms (case-finding). Here, we examine the evidence for whether screening benefits women and has no deleterious effects.

objectivesTo assess the effectiveness of screening for IPV conducted within healthcare settings on identification, referral, re-exposure to violence, and health outcomes for women, and to determine if screening causes any harm. SEARCH

methodsOn 17 February 2015, we searched CENTRAL, Ovid MEDLINE, Embase, CINAHL, six other databases, and two trial registers. We also searched the reference lists of included articles and the websites of relevant organisations. SELECTION CRITERIA: Randomised or quasi-randomised controlled trials assessing the effectiveness of IPV screening where healthcare professionals either directly screened women face-to-face or were informed of the results of screening questionnaires, as compared with usual care (which could include screening that did not involve a healthcare professional). DATA COLLECTION AND ANALYSIS: Two authors independently assessed the risk of bias in the trials and undertook data extraction. For binary outcomes, we calculated a standardised estimation of the odds ratio (OR). For continuous data, either a mean difference (MD) or standardised mean difference (SMD) was calculated. All are presented with a 95% confidence interval (CI). MAIN

resultsWe included 13 trials that recruited 14,959 women from diverse healthcare settings (antenatal clinics, women's health clinics, emergency departments, primary care) predominantly located in high-income countries and urban settings. The majority of studies minimised selection bias; performance bias was the greatest threat to validity. The overall quality of the body of evidence was low to moderate, mainly due to heterogeneity, risk of bias, and imprecision.We excluded five of 13 studies from the primary analysis as they either did not report identification data, or the way in which they did was not consistent with clinical identification by healthcare providers. In the remaining eight studies (n = 10,074), screening increased clinical identification of victims/survivors (OR 2.95, 95% CI 1.79 to 4.87, moderate quality evidence).Subgroup analyses suggested increases in identification in antenatal care (OR 4.53, 95% CI 1.82 to 11.27, two studies, n = 663, moderate quality evidence); maternal health services (OR 2.36, 95% CI 1.14 to 4.87, one study, n = 829, moderate quality evidence); and emergency departments (OR 2.72, 95% CI 1.03 to 7.19, three studies, n = 2608, moderate quality evidence); but not in hospital-based primary care (OR 1.53, 95% CI 0.79 to 2.94, one study, n = 293, moderate quality evidence).Only two studies (n = 1298) measured referrals to domestic violence support services following clinical identification. We detected no evidence of an effect on referrals (OR 2.24, 95% CI 0.64 to 7.86, low quality evidence).Four of 13 studies (n = 2765) investigated prevalence (excluded from main analysis as rates were not clinically recorded); detection of IPV did not differ between face-to-face screening and computer/written-based assessment (OR 1.12, 95% CI 0.53 to 2.36, moderate quality evidence).Only two studies measured women's experience of violence (three to 18 months after screening) and found no evidence that screening decreased IPV.Only one study reported on women's health with no differences observable at 18 months.Although no study reported adverse effects from screening interventions, harm outcomes were only measured immediately afterwards and only one study reported outcomes at three months.There was insufficient evidence on which to judge whether screening increases uptake of specialist services, and no studies included an economic evaluation. AUTHORS'

conclusionsThe evidence shows that screening increases the identification of women experiencing IPV in healthcare settings. Overall, however, rates were low relative to best estimates of prevalence of IPV in women seeking healthcare. Pregnant women in antenatal settings may be more likely to disclose IPV when screened, however, rigorous research is needed to confirm this. There was no evidence of an effect for other outcomes (referral, re-exposure to violence, health measures, lack of harm arising from screening). Thus, while screening increases identification, there is insufficient evidence to justify screening in healthcare settings. Furthermore, there remains a need for studies comparing universal screening to case-finding (with or without advocacy or therapeutic interventions) for women's long-term wellbeing in order to inform IPV identification policies in healthcare settings.

Indexed as

Efficiency, OrganizationalMass ScreeningEmergency Service, HospitalFemaleHumansMaternal Health ServicesPregnancyPregnant PeoplePrenatal CareRandomized Controlled Trials as TopicSpouse AbuseSurveys and Questionnaires

Identifiers

PMID26200817
PMCPMC6599831
OpenAlexW1983241173

What OpenQuestion holds

Textmetadata
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.