Abstract
BackgroundStatistical time series derived from administrative data sets form key indicators in measuring progress in addressing disadvantage in Aboriginal and Torres Strait Islander populations in Australia. However, inconsistencies in the reporting of Indigenous status can cause difficulties in producing reliable indicators. External data sources, such as survey data, provide a means of assessing the consistency of administrative data and may be used to adjust statistics based on administrative data sources.MethodsWe used record linkage between a large-scale survey (the Western Australian Aboriginal Child Health Survey), and two administrative data sources (the Western Australia (WA) Register of Births and the WA Midwives’ Notification System) to compare the degree of consistency in determining Indigenous status of children between the two sources. We then used a logistic regression model predicting probability of consistency between the two sources to estimate the probability of each record on the two administrative data sources being identified as being of Aboriginal and/or Torres Strait Islander origin in a survey. By summing these probabilities we produced model-adjusted time series of neonatal outcomes for Aboriginal and/or Torres Strait Islander births.ResultsCompared to survey data, information based only on the two administrative data sources identified substantially fewer Aboriginal and/or Torres Strait Islander births. However, these births were not randomly distributed. Births of children identified as being of Aboriginal and/or Torres Strait Islander origin in the survey only were more likely to be living in urban areas, in less disadvantaged areas, and to have only one parent who identifies as being of Aboriginal and/or Torres Strait Islander origin, particularly the father. They were also more likely to have better health and wellbeing outcomes. Applying an adjustment model based on the linked survey data increased the estimated number of Aboriginal and/or Torres Strait Islander births in WA by around 25%, however this increase was accompanied by lower overall proportions of low birth weight and low gestational age babies.ConclusionsRecord linkage of survey data to administrative data sets is useful to validate the quality of recording of demographic information in administrative data sources, and such information can be used to adjust for differential identification in administrative data.
Highlights
Introduction to variance estimationNew York: Springer; 2006. 18
While all children in the survey were identified as being of Aboriginal and/or Torres Strait Islander origin, 15% of birth mothers did not identify as being of Aboriginal and/or Torres Strait Islander origin in the Western Australian Aboriginal Child Health Survey (WAACHS), presumably cases where the father was of Aboriginal and/or Torres Strait Islander origin
Of these 13,700 children, 8,990 had a mother recorded as being of Aboriginal and/or Torres Strait Islander origin, and an additional 1,590 had a father recorded as being of Aboriginal and/or Torres Strait Islander origin, so in total 77% of WAACHS children had one or both parents recorded as being of Aboriginal and/or Torres Strait Islander origin on the Western Australia (WA) Register of Births
Summary
Introduction to variance estimationNew York: Springer; 2006. 18. Pfeffermann D, Skinner CJ, Holmes DJ, Goldstein H, Rasbash J: Weighting for unequal selection probabilities in multi-level models. Statistical time series derived from administrative data sets form key indicators in measuring progress in addressing disadvantage in Aboriginal and Torres Strait Islander populations in Australia. Administrative data can be useful for measuring outcomes in small population sub-groups where data collection activities would be very expensive given the high costs involved in screening or searching for the sub-population of interest Such a case is the development of indicators of wellbeing among Aboriginal and Torres Strait Islander populations in Australia. Under the framework of the National Indigenous Reform Agreement ratified in 2008, the Council of Australian Governments (COAG) has established key targets and a reporting framework for measuring progress against these targets for Closing the Gap in Indigenous Disadvantage [1] Many of these indicators are sourced from administrative data sets.
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