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

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dc.contributor.author Chikwava, F., Cordier, R., Ferrante, A., O’Donnell, M., Speyer, R., & Parsons, L.
dc.date.accessioned 2021-04-09T15:27:43Z
dc.date.available 2021-04-09T15:27:43Z
dc.date.issued 2021
dc.identifier.citation Chikwava, F., Cordier, R., Ferrante, A., O’Donnell, M., Speyer, R., & Parsons, L. (2021). Research using population-based administration data integrated with longitudinal data in child protection settings: A systematic review. PLoS one, 16(3), e0249088. en_US
dc.identifier.uri https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249088
dc.identifier.uri http://hdl.handle.net/11212/5038
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher PLOS ONE en_US
dc.subject research en_US
dc.subject child protection en_US
dc.subject data en_US
dc.subject International Resources en_US
dc.subject Australia en_US
dc.title Research using population-based administration data integrated with longitudinal data in child protection settings: A systematic review en_US
dc.type Article en_US


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