Evidence map›Paper›PMID 35240863›Full record

ArticleChild maltreatment2023

Leveraging Administrative Data to Better Understand and Address Child Maltreatment: A Scoping Review of Data Linkage Studies.

Emma Soneson, Shruti Das, Anne-Marie Burn, Marije van Melle, Joanna K Anderson, Mina Fazel, Peter Fonagy, Tamsin Ford, Ruth Gilbert, Katie Harron and 4 more

Open access · hybridAbstract readScoping Review
In one paragraph

Article in Child maltreatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 19 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

14 authors at 5 institutions in 1 country.

Emma SonesonDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.ORCID 0000-0003-1666-3012
Shruti Das12204University of Cambridge School of Clinical Medicine, Cambridge, UK.
Anne-Marie BurnDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.ORCID 0000-0002-0637-2118
Marije van MelleDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.ORCID 0000-0003-1794-1571
Joanna K AndersonDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.
Mina FazelDepartment of Psychiatry, Warneford Hospital, 6396University of Oxford, Headington, Oxford, UK.
Peter FonagyResearch Department of Clinical, Educational and Health Psychology, 4919University College London, London, UK.ORCID 0000-0003-0229-0091
Tamsin FordDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.
Ruth GilbertGreat Ormond Street Institute of Child Health, 4919University College London, London, UK.
Katie HarronGreat Ormond Street Institute of Child Health, 4919University College London, London, UK.
Emma HowarthSchool of Psychology, 4917University of East London, London, UK.
Ayla HumphreyDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.
Peter B JonesDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.
Anna MooreDepartment of Psychiatry, 2152University of Cambridge, Cambridge, UK.
University of Cambridge · GBGreat Ormond Street Hospital · GBUniversity College London · GBUniversity of East London · GBWarneford Hospital · GB

Funding

Medical Research Council G108/625Medical Research Council MC_PC_21025Medical Research Council MR/T046430/1
6 · The paper itself

Abstract

backgroundThis scoping review aimed to overview studies that used administrative data linkage in the context of child maltreatment to improve our understanding of the value that data linkage may confer for policy, practice, and research.

methodsWe searched MEDLINE, Embase, PsycINFO, CINAHL, and ERIC electronic databases in June 2019 and May 2020 for studies that linked two or more datasets (at least one of which was administrative in nature) to study child maltreatment. We report findings with numerical and narrative summary.

resultsWe included 121 studies, mainly from the United States or Australia and published in the past decade. Data came primarily from social services and health sectors, and linkage processes and data quality were often not described in sufficient detail to align with current reporting guidelines. Most studies were descriptive in nature and research questions addressed fell under eight themes: descriptive epidemiology, risk factors, outcomes, intergenerational transmission, predictive modelling, intervention/service evaluation, multi-sector involvement, and methodological considerations/advancements.

conclusionsIncluded studies demonstrated the wide variety of ways in which data linkage can contribute to the public health response to child maltreatment. However, how research using linked data can be translated into effective service development and monitoring, or targeting of interventions, is underexplored in terms of privacy protection, ethics and governance, data quality, and evidence of effectiveness.

Indexed as

Child AbuseAustraliaChildHumansInformation Storage and RetrievalRisk FactorsSocial Workchild maltreatment, abuse, neglect, data linkage, administrative data, data analytics, policy, public health, population health

Identifiers

PMID35240863
PMCPMC9806482
OpenAlexW4214935634

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.