Using linkage between hospital and ABS mortality data to enhance reporting of deaths among Aboriginal and Torres Strait Islander peoples (original) (raw)
Related papers
Record linkage to advance Indigenous mortality statistics in Australia – sources of error and bias
Statistical Journal of the IAOS
This paper describes efforts made in Australia in the use of data linkage to enhance Indigenous mortality statistics. The extent of inadequacies of statistics sourced from death registration is discussed and the improvements made by data linkage are presented. Conceptual, methodological and data issues that may give rise to error and bias in such data linkage are discussed.
BMC Medical Informatics and Decision Making, 2012
Results: Eight papers were included, five from WA and three from New South Wales (NSW). The WA papers included a self-identified Indigenous community cohort and showed improved identification in hospital separation data after 2000. In CVD hospitalised patients (2000-05), under-identification was greater in urban residents, older people and socially more advantaged Indigenous people, with varying algorithms giving different estimates of under-count. Age-standardised myocardial infarction incidence rates (2000)(2001)(2002)(2003)(2004) increased by about 10%-15% with improved identification. Under-ascertainment of Indigenous identification overestimated secular improvements in life expectancy and mortality whereas correcting infectious disease notifications resulted in lower Indigenous/ non-Indigenous rate ratios. NSW has a history of poor Indigenous identification in administrative data systems, but the NSW papers confirmed the usefulness of data linkage for improving Indigenous identification and the potential for very different estimates of Indigenous disease indicators depending upon the algorithm used for identification.
BMC Medical Research Methodology
Background Aboriginal people are under-reported on administrative health data in Australia. Various approaches have been used or proposed to improve reporting of Aboriginal people using linked records. This cross-sectional study used self-reported Aboriginality from the NSW Patient Survey Program (PSP) as a reference standard to assess the accuracy of reporting of Aboriginal people on NSW Admitted Patient (APDC) and Emergency Department Data Collections (EDDC), and compare the accuracy of selected approaches to enhance reporting Aboriginality using linked data. Methods Ten PSP surveys were linked to five administrative health data collections, including APDC, EDDC, perinatal, and birth and death registration records. Accuracy of reporting of Aboriginality was assessed using sensitivity, specificity, and positive and negative predictive values (PPVs and NPVs) and F score for the EDDC and APDC as baseline and four enhancement approaches using linked records: “Most recent linked record...
Making Health Data Work for Maori
Policy Quarterly, 2020
This article explores the experience of health services decision makers using Mäori health data to inform decision making. It draws on selected findings from the second phase of a three-year Health Research Council-funded study and discusses how Mäori health data identification, data analysis and data interpretation processes are being used by decision makers to help to identify the most promising strategies to improve Mäori health. Data is critical to monitoring inequity and has the potential to drive health service change. However, improvement is needed at all steps in the decisionmaking process to better facilitate utilising data to leverage change in Mäori health outcomes.
The SEEDS of Indigenous population health data linkage
International Journal of Population Data Science, 2021
Introduction Globally, the ways that Indigenous data are collected, used, stored, shared, and analyzed are advancing through Indigenous data governance movements. However, these discussions do not always include the increasingly sensitive nature of linking Indigenous population health (IPH) data. During the International Population Data Linkage Network Conference in September of 2018, Indigenous people from three countries (Canada, New Zealand, and the United States) gathered and set the tone for discussions around Indigenous-driven IPH data linkage. Objectives Centering IPH data linkage and research priorities at the conference led to budding discussions from diverse Indigenous populations to share and build on current IPH data linkage themes. This paper provides a braided summary of those discussions which resulted in the SEEDS principles for use when linking IPH data. Methods During the Conference, two sessions and a keynote were Indigenous-led and hosted by international collabo...
Anonymous linkage of New Zealand mortality and Census data
Australian and New …, 2000
discretion of the Government Statistician to allow authoritative research of benefit to the public of New Zealand. The New Zealand Census-Mortality Study (NZCMS) is the first time the NZ Census has been linked to an administrative dataset for purposes apart from improving the quality of SNZ surveys. The NZCMS is a short duration cohort study of the 1991 Census night population age 0-74 years, followed up for mortality for three years. The priority goals of the NZCMS are to: • investigate socioeconomic mortality gradients in New Zealand by a wide range of socioeconomic factors (labour force status, education, income, occupational class, and asset ownership), for different age groups (0-74 years), and both sexes; and. • investigate possible variation in the relationship of personal socioeconomic factors with mortality by community variables such as deprivation, income inequality, region and social capital. A longer-term goal is to monitor changes over time in socioeconomic mortality gradients, by linking other censuses to mortality data. The objective of this paper is to describe the methods used in the record linkage, and to present the results of the record linkage in terms of the proportion of mortality records linked, likely accuracy, and bias.
SEEDS of Indigenous Population Health Data Linkage
International Journal of Population Data Science
IntroductionGlobally, the ways that Indigenous data are collected, used, stored, shared, and analyzed are advancing through Indigenous data governance movements. However, these discussions do not always include the increasingly sensitive nature of linking Indigenous population health (IPH) data. During the International Population Data Linkage Network Conference in September of 2018, Indigenous people from three countries (Canada, New Zealand, and the United States) gathered and set the tone for discussions around Indigenous-driven IPH data linkage. ObjectivesCentering IPH data linkage and research priorities at the conference led to budding discussions from diverse Indigenous populations to share and build on current IPH data linkage themes. This paper provides a braided summary of those discussions which resulted in the SEEDS principles for use when linking IPH data. MethodsDuring the Conference, two sessions and a keynote were Indigenous-led and hosted by international collaborat...
Australian and New Zealand journal of public health, 2015
Objective: To describe the practical issues that need to be overcome to conduct national data linkage projects in Australia and propose recommendations to improve efficiency. Methods: Review of the processes, documentation and applications required to conduct national data linkage in Australia. Results: The establishment of state and national data linkage centres in Australia has placed Australia at the forefront of research linking health-related administrative data collections. However, improvements are needed to reduce the clerical burden on researchers, simplify the process of obtaining ethics approval, improve data accessibility, and thus improve the efficiency of data linkage research. Conclusions: While a sound state and national data linkage infrastructure is in place, the current complexity, duplication and lack of cohesion undermines any attempts to conduct research involving national record linkage in a timely manner. Implications: Data linkage applications and Human Rese...
BMC Health Services Research, 2008
Background: Routinely collected infectious disease surveillance data provide a valuable means to monitor the health of populations. Notifiable disease surveillance systems in Australia have consistently reported high levels of completeness for the demographic data fields of age and sex, but low levels of completeness for Aboriginality data. Significant amounts of missing data associated with case notifications can introduce bias in the estimation of disease rates by population subgroups. The aim of this analysis was to evaluate the use of data linkage to improve the accuracy of estimated notification rates for sexually transmitted infections (STIs) and blood borne viruses (BBVs) in Aboriginal and non-Aboriginal groups in Western Australia.