Evidence map›Paper›PMID 32788201›Full record

SynthesisArchives of disease in childhood2021

Predictive value of indicators for identifying child maltreatment and intimate partner violence in coded electronic health records: a systematic review and meta-analysis.

Shabeer Syed, Rachel Ashwick, Marco Schlosser, Arturo Gonzalez-Izquierdo, Leah Li, Ruth Gilbert

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Archives of disease in childhood, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
1.3field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  15. Epidemiologic trends of domestic violence-related ocular injuries among pediatric patients: data from the Nationwide Emergency Department Sample 2008-2017.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2023
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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

6 authors at 4 institutions in 1 country.

Shabeer SyedUCL Great Ormond Street Institute of Child Health, Population, Policy and Practice, University College London, London, UK s.syed.16@ucl.ac.uk.ORCID 0000-0002-4349-4181
Rachel AshwickOxford Institute of Clinical Psychology Training and Research, University of Oxford, Oxford, UK.ORCID 0000-0001-9157-4947
Marco SchlosserDivision of Psychiatry, University College London, London, UK.ORCID 0000-0002-0634-0749
Arturo Gonzalez-IzquierdoInstitute of Health Informatics and Health Data Research UK, University College London, London, UK.ORCID 0000-0002-0984-5830
Leah LiUCL Great Ormond Street Institute of Child Health, Population, Policy and Practice, University College London, London, UK.ORCID 0000-0002-3603-6457
Ruth GilbertUCL Great Ormond Street Institute of Child Health, Population, Policy and Practice, University College London, London, UK.ORCID 0000-0001-9347-2709
Health Data Research UK · GBUniversity College London · GBGreat Ormond Street Hospital · GBUniversity of Oxford · GB

Funding

Department of Health 03/37/06Department of Health 04/51/01Department of Health 08/13/47Department of Health 12/167/02Medical Research Council MR/K006584/1
6 · The paper itself

Abstract

objectiveElectronic health records (EHRs) are routinely used to identify family violence, yet reliable evidence of their validity remains limited. We conducted a systematic review and meta-analysis to evaluate the positive predictive values (PPVs) of coded indicators in EHRs for identifying intimate partner violence (IPV) and child maltreatment (CM), including prenatal neglect.

methodsWe searched 18 electronic databases between January 1980 and May 2020 for studies comparing any coded indicator of IPV or CM including prenatal neglect defined as neonatal abstinence syndrome (NAS) or fetal alcohol syndrome (FAS), against an independent reference standard. We pooled PPVs for each indicator using random effects meta-analyses.

resultsWe included 88 studies (3 875 183 individuals) involving 15 indicators for identifying CM in the prenatal period and childhood (0-18 years) and five indicators for IPV among women of reproductive age (12-50 years). Based on the International Classification of Disease system, the pooled PPV was over 80% for NAS (16 studies) but lower for FAS (<40%; seven studies). For young children, primary diagnoses of CM, specific injury presentations (eg, rib fractures and retinal haemorrhages) and assaults showed a high PPV for CM (pooled PPVs: 55.9%-87.8%). Indicators of IPV in women had a high PPV, with primary diagnoses correctly identifying IPV in >85% of cases.

conclusionsCoded indicators in EHRs have a high likelihood of correctly classifying types of CM and IPV across the life course, providing a useful tool for assessment, support and monitoring of high-risk groups in health services and research.

Indexed as

AdolescentAdultChildChild AbuseChild, PreschoolDiagnosis-Related GroupsElectronic Health RecordsFemaleHumansInfantInfant, NewbornIntimate Partner ViolenceMaleMiddle AgedPredictive Value of TestsPregnancychild abusedata collectiondrug withdrawalepidemiologyhealth services research

Identifiers

PMID32788201
PMCPMC7788194
OpenAlexW3048947801

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.