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dc.contributor.authorChikwava, Fadzai
dc.contributor.authorCordier, Reinie
dc.contributor.authorFerrante, Anna
dc.contributor.authorO'Donnell, M.
dc.contributor.authorSpeyer, Renee
dc.contributor.authorParsons, Lauren
dc.date.accessioned2021-12-01T02:31:10Z
dc.date.available2021-12-01T02:31:10Z
dc.date.issued2021
dc.identifier.citationChikwava, F. and Cordier, R. and Ferrante, A. and O'Donnell, M. and Speyer, R. and Parsons, L. 2021. Research using population-based administration data integrated with longitudinal data in child protection settings: A systematic review. PLoS ONE. 16 (3 March): Article No. e0249088.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/86650
dc.identifier.doi10.1371/journal.pone.0249088
dc.description.abstract

Introduction: Over 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.

Methods: The 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)

Results: The 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.

Conclusion: We 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.

dc.languageEnglish
dc.publisherPUBLIC LIBRARY SCIENCE
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectScience & Technology
dc.subjectMultidisciplinary Sciences
dc.subjectScience & Technology - Other Topics
dc.titleResearch using population-based administration data integrated with longitudinal data in child protection settings: A systematic review
dc.typeJournal Article
dcterms.source.volume16
dcterms.source.number3 March
dcterms.source.issn1932-6203
dcterms.source.titlePLoS ONE
dc.date.updated2021-12-01T02:31:05Z
curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.departmentCurtin School of Allied Health
curtin.departmentCurtin School of Population Health
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidParsons, Lauren [0000-0002-4209-7168]
curtin.contributor.orcidCordier, Reinie [0000-0002-9906-5300]
curtin.contributor.orcidFerrante, Anna [0000-0002-9479-7908]
curtin.contributor.orcidChikwava, Fadzai [0000-0001-7751-3822]
curtin.contributor.orcidSpeyer, Renee [0000-0003-2828-8897]
curtin.contributor.researcheridFerrante, Anna [F-8215-2013]
curtin.identifier.article-numberARTN e0249088
dcterms.source.eissn1932-6203
curtin.contributor.scopusauthoridParsons, Lauren [57189757402]
curtin.contributor.scopusauthoridCordier, Reinie [35168973500]
curtin.contributor.scopusauthoridFerrante, Anna [7102395377]


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