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Identifying young Aboriginal and Torres Strait Islander children in linked administrative data: A comparison of methods

McNamara, B J; Jones, Jocelyn; Shepherd, Carrington; Gubhaju, Lina; Joshy, Grace; McAullay, Daniel; Preen, David B; Jorm, Louisa; Eades, Sandra

Description

Objective To quantify differences between three validated algorithms in ascertaining Aboriginal and Torres Strait Islander children in linked administrative data. Methods Linked administrative health data for children born in WA from 2000-2013, were used to examine the cohorts identified by three methods: A) the Indigenous Status Flag (ISF, derived by the WA Data Linkage Branch using a multistage-median approach) for the children alone; B) the ISF of the children, their parents and...[Show more]

dc.contributor.authorMcNamara, B J
dc.contributor.authorJones, Jocelyn
dc.contributor.authorShepherd, Carrington
dc.contributor.authorGubhaju, Lina
dc.contributor.authorJoshy, Grace
dc.contributor.authorMcAullay, Daniel
dc.contributor.authorPreen, David B
dc.contributor.authorJorm, Louisa
dc.contributor.authorEades, Sandra
dc.date.accessioned2020-10-09T02:20:28Z
dc.date.available2020-10-09T02:20:28Z
dc.identifier.issn2399-4908
dc.identifier.urihttp://hdl.handle.net/1885/212398
dc.description.abstractObjective To quantify differences between three validated algorithms in ascertaining Aboriginal and Torres Strait Islander children in linked administrative data. Methods Linked administrative health data for children born in WA from 2000-2013, were used to examine the cohorts identified by three methods: A) the Indigenous Status Flag (ISF, derived by the WA Data Linkage Branch using a multistage-median approach) for the children alone; B) the ISF of the children, their parents and grandparents; and C) Indigenous status of the child, mother or father on either of the child's perinatal records (Midwives or birth registration), to determine differing characteristics of each cohort. Results Method B established a larger cohort (33,697) than Method C (33,510) and Method A (27,482), with all methods identifying a core group of 26,993 children (80-98%). Compared with children identified by Method A, additional children identified by Methods B or C, were from less-disadvantaged and more urban areas, and had better perinatal outcomes (e.g. lower proportions of small-for-gestational age, 10% vs 16%). Differences in demographics and health outcomes between Methods C and B were minimal. Conclusions Demographic and perinatal health characteristics differ by Indigenous identification method. Using perinatal records or the ISF of parents and grandparents (in addition to the ISF of the child) appear to be more inclusive methods for identifying young Indigenous children in administrative datasets.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherSwansea University, UK
dc.rights© The Authors.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.en
dc.sourceInternational Journal of Population Data Science
dc.subjectAboriginal health
dc.subjectidentification
dc.subjectdata linkage
dc.subjectIndigenous
dc.subjectchild
dc.subjectmethodology
dc.titleIdentifying young Aboriginal and Torres Strait Islander children in linked administrative data: A comparison of methods
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume5
dc.date.issued2020
local.identifier.absfor111701 - Aboriginal and Torres Strait Islander Health
local.identifier.ariespublicationU1070655xPUB219
local.publisher.urlhttps://ijpds.org/
local.type.statusPublished Version
local.contributor.affiliationMcNamara, B J, University of Melbourne
local.contributor.affiliationJones, Jocelyn, The University of Western Australia
local.contributor.affiliationShepherd, Carrington, Telethon Kids Institute
local.contributor.affiliationGubhaju, Lina, University of Melbourne
local.contributor.affiliationJoshy, Grace, College of Health and Medicine, ANU
local.contributor.affiliationMcAullay, Daniel, University of Western Australia
local.contributor.affiliationPreen, David B, University of Western Australia
local.contributor.affiliationJorm, Louisa, NSW Health
local.contributor.affiliationEades, Sandra, University of Melbourne
local.bibliographicCitation.issue11
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage13
local.identifier.doi10.23889/ijpds.v5i1.1100
local.identifier.absseo920501 - Child Health
dc.date.updated2020-07-05T08:17:43Z
dcterms.accessRightsOpen Access
dc.provenanceThe Authors. Open Access under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/deed.en)
dc.rights.licenseCC BY 4.0
CollectionsANU Research Publications

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