Evidence map›Paper›PMID 33760881›Full record

SynthesisPloS one2021

Research using population-based administration data integrated with longitudinal data in child protection settings: A systematic review.

Fadzai Chikwava, Reinie Cordier, Anna Ferrante, Melissa O'Donnell, Renée Speyer, Lauren Parsons

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Fadzai ChikwavaSchool of Allied Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0001-7751-3822
Reinie CordierSchool of Allied Health, Curtin University, Perth, Western Australia, Australia.
Anna FerranteSchool of Public Health, Curtin University, Perth, Western Australia, Australia.
Melissa O'DonnellTelethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.
Renée SpeyerSchool of Allied Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0003-2828-8897
Lauren ParsonsSchool of Allied Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-4209-7168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOver the past decade there has been a marked growth in the use of linked population administrative data for child protection research. This is the first systematic review of studies to report on research design and statistical methods used where population-based administrative data is integrated with longitudinal data in child protection settings.

methodsThe systematic review was conducted according to Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement. The electronic databases Medline (Ovid), PsycINFO, Embase, ERIC, and CINAHL were systematically searched in November 2019 to identify all the relevant studies. The protocol for this review was registered and published with Open Science Framework (Registration DOI: 10.17605/OSF.IO/96PX8).

resultsThe review identified 30 studies reporting on child maltreatment, mental health, drug and alcohol abuse and education. The quality of almost all studies was strong, however the studies rated poorly on the reporting of data linkage methods. The statistical analysis methods described failed to take into account mediating factors which may have an indirect effect on the outcomes of interest and there was lack of utilisation of multi-level analysis.

conclusionWe recommend reporting of data linkage processes through following recommended and standardised data linkage processes, which can be achieved through greater co-ordination among data providers and researchers.

Indexed as

Mental HealthChildChild AbuseDatabases, FactualData Interpretation, StatisticalHumansSubstance-Related Disorders

Identifiers

PMID33760881
PMCPMC7990188

What OpenQuestion holds

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LicenceCC BY
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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.