Australian Institute of Health and Welfare (2022) People with disability in Australia, AIHW, Australian Government, accessed 01 December 2022.
Australian Institute of Health and Welfare. (2022). People with disability in Australia. Retrieved from https://www.aihw.gov.au/reports/disability/people-with-disability-in-australia
People with disability in Australia. Australian Institute of Health and Welfare, 05 July 2022, https://www.aihw.gov.au/reports/disability/people-with-disability-in-australia
Australian Institute of Health and Welfare. People with disability in Australia [Internet]. Canberra: Australian Institute of Health and Welfare, 2022 [cited 2022 Dec. 1]. Available from: https://www.aihw.gov.au/reports/disability/people-with-disability-in-australia
Australian Institute of Health and Welfare (AIHW) 2022, People with disability in Australia, viewed 1 December 2022, https://www.aihw.gov.au/reports/disability/people-with-disability-in-australia
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A useful framework for improving data is presented in Figure DATA.1. It involves making improvements in 3 key areas:
Source: Adapted from Diagram 8 in ABS 2013.
Key to this is that data gaps or issues do not prohibit reporting on what is available. Instead, data limitations are acknowledged and data agencies work together to continually improve data availability and quality.
Bringing together information from multiple data sources helps support a person-centred, whole-of-system view of the experiences of people with disability in Australia within a coherent reporting framework. This provides a more comprehensive picture than is possible by relying on any one data source.
Examples of national reporting and associated frameworks that draw on multiple sources to understand the experiences of people with disability are:
Such national reports complement the large body of research on the experiences of people with disability in Australia and reporting at state and territory levels. However, it is through the sharing of existing data sources, particularly for data linkage, that much greater gains in understanding will become possible.
Many data collections exist across the different agencies and sectors that collect information about people with disability, including by the:
Despite this, gaps exist, as do some inconsistencies in defining disability within different sources of data, often reflecting the differing roles for the respective data collections and agencies.
Some options that could improve the quality and comparability of existing data sources include:
These options come with issues to consider, including privacy, the role of service providers and cost. Given these issues, there is a growing view that data sharing and linkage, combined with accommodating different definitions of disability and adopting more consistent definitions and disability flags where sensible, may be the most practical way forward.
Disability is generally defined in a data set based on the purpose and type of data collected. This means that definitions differ between population surveys and across administrative data collections.
Variations in definition and scope can be managed, at least in part, by careful analysis and reporting. However, strategies to improve the consistency of definition and coverage between sources of data should also be considered. Classification frameworks, such as the World Health Organization’s International Classification of Functioning, Disability and Health (ICF), are useful in this process. Such frameworks help to understand differences in definition between data sources and can be used to improve consistency.
The inclusion of a flag in data sources enables key interest groups, such as people with disability, to be identified. This can reduce the need to develop new data collections.
An example of a flag related to the identification of people with disability within mainstream data collections is the AIHW’s standardised disability flag. This flag is derived from a standard set of questions assessing a person’s level of functioning and need for support in everyday activities. These questions are based on the ICF, and are broadly consistent with the Short Disability Module questions the ABS uses in a number of its surveys. Versions of the flag have been implemented in the AIHW’s Specialist Homelessness Services Collection, the National Social Housing Survey, and National Prisoner Health Data Collection, and are being implemented within other AIHW collections.
The AIHW is also developing a flag for use in data collections to indicate whether a person is receiving National Disability Insurance Scheme (NDIS) support. This flag could be used to look at the use of mainstream and other services by NDIS participants. If used together with the standardised disability flag, it could potentially also be used to look at whether there are differences in the use of mainstream services between NDIS participants and other people with disability.
A wider implementation of such flags, coupled with regular supply of these data for national collation and reporting, would improve the ability to report more comprehensively on people with disability. For example, the addition to, or improvement of, disability flags in existing national child protection, out-of-home care and youth justice data collections would improve visibility of children with disability in these systems.
Data gaps can be addressed by:
Existing data sources could be improved to better capture the diversity and intersectionality in the disability population. For example, key data gaps exist for people with disability who:
Challenges exist in collecting data on population subgroups, including data quality and coverage. It can be difficult, for example, to obtain a large representative sample of some populations in national surveys and data become less reliable and robust as sample size decreases.
Aboriginal and Torres Strait Islander peoples
Improving estimates of Aboriginal and Torres Strait Islander people living with disability is crucial as Indigenous Australians often have higher rates of disability and generally poorer outcomes than non-Indigenous Australians.
While data on Indigenous status are collected in national ABS surveys, data quality and reliability are compromised by identification of disability, sample size and/or geographical constraints (ABS 2019b). The Survey of Disability, Ageing and Carers (SDAC), for example, is the key source of disability prevalence data but it does not collect data from people living in very remote areas or from discrete Indigenous communities (ABS 2019a). As a result, information about Indigenous Australians living with disability who are aged or who are carers are instead usually sourced from the:
However, these surveys do not as comprehensively identify disability compared with the more expansive set of questions used in the SDAC.
The marginalisation of LGBTIQ+ people in general can make them vulnerable. Those who also have disability may be especially at risk. This community includes individuals who identify as lesbian, gay, bisexual, transgender, intersex, queer or otherwise diverse in gender, sex or sexuality.
LGBTIQ+ people can face harassment and discrimination based on their identity. There is very limited data about the intersection of LGBTIQ+ and disability in regular data collections, including in national surveys.
People who have suffered abuse
The evidence base related to the abuse of, or by, people with disability (including domestic and sexual violence) needs to be improved, including by:
While some data are available for this subgroup, these data have limitations. For example:
People who have experienced discrimination
While the ABS SDAC collects data on discrimination against people with disability, it does not collect data on the experience of other forms of discrimination for people without disability. This means comparisons can be made only within the disability population and not between people with and without disability. Some information on this comparison is available from the ABS General Social Survey, which uses the ABS Short Disability Module to identify disability and includes questions on other forms of discrimination (such as age and sex). However, this module does not identify disability as well as the SDAC, and the resulting overestimate of disability means that the differences between those with and without disability are understated (ABS 2018a).
Limited data also exist on the direct effects of discrimination on people with disability. ABS SDAC data point to lower employment, lower income, lower social participation and poorer health outcomes for people with disability overall, and especially for those who have experienced discrimination because of their disability. However, these outcomes cannot be directly linked to an experience of discrimination.
People who are homeless
Population surveys with comprehensive measures of disability, such as the SDAC, do not include a measure of homelessness. Also, the ABS Census of Population and Housing, which includes a measure of homelessness, does not capture disability as well as the SDAC and does not capture disability at all for people enumerated using the Special Short Form. This shortened version of the Census form is often used to gather information from rough sleepers (in 2016, 53% of rough sleepers were enumerated using the form) (ABS 2018b).
Improvements could also be made to the AIHW’s Specialist Homeless Services Collection, which provides data about people who have sought assistance from a homelessness agency. This collection has included a version of the AIHW’s standardised disability flag since 2013–14, but response rates, particularly in the early years, are an issue. Reporting relies on the assumption that clients whose disability status is not known have the same rate of disability as others.
Another key area in which existing data could be improved relates to the disability workforce. While some information is collected from National Disability Services member organisations and through the ABS’ Labour Force Survey, there are opportunities to improve national information in this area.
Safely sharing data for statistical purposes, including for data linkage, could lead to major improvements in understanding the experience of people with disability in Australia.
Data sharing in this context refers to the sharing of data between one or more parties to better realise the economic and social benefits of increased data use, while maintaining public trust and confidence (PM&C 2018).
Many government agencies and organisations have arrangements in place to share and release non-sensitive data under existing frameworks and authorities. However, in some circumstances, pathways are not available to agencies wanting to share or release the data they hold (PM&C 2018; PC 2017a). This is improving over time, with the development of data-sharing agreements and processes within and between levels of government in Australia. For example, in 2020 the Office of the National Data Custodian released a draft Data Sharing Agreement Template designed to help government agencies produce agreements to confidently share data in a way that is safe, timely and transparent. The template is based on the National Data Commissioner’s Best Practice Guide to Applying the Data Sharing Principles (ONDC 2020).
Some data collected on people with disability are not widely available for use or sharing. These include, but are not limited to, data collected by non-government organisations but not collated for national analysis.
Improving the ability to access these data would assist in expanding the evidence base, particularly in understanding other services people with disability use.
Data linkage (also called data matching, data integration or record matching) combines information from multiple data sources while preserving privacy. This tells a much more powerful story than is possible from individual data sources in isolation. It can also improve understanding of a range of issues.
Some benefits of data sharing, however, cannot be realised without data linkage. At present, for example, it is difficult to understand how different specialist disability support systems interact, such as how the NDIS interacts with other specialist disability services. It is also difficult to understand how these specialist disability services interact with mainstream supports.
Data linkage can be used in many ways to improve the evidence base about people with disability. Some examples using existing data include linking:
While data linkage is a powerful tool, challenges remain before its benefits can be fully realised. The lack of consistent linkage information across administrative systems in Australia, and complexities in data sharing and access arrangements, mean that linking data from various sources is often complex, time consuming and costly. There are also issues associated with working with linked data that add to the complexity, timeliness and cost, such as extensive data cleaning often being required before linkage (for example, as a result of different data ‘rules’ being applied to seemingly similar data items in different sources), and the careful work required to ensure protection of privacy.
Between April 2020 and December 2021, the New South Wales, Victorian, South Australian, Queensland and Australian Capital Territory governments worked together with the Department of the Prime Minister and Cabinet, the Department of Social Services, the NDIA, the AIHW and the ABS to pilot test the development of a National Disability Data Asset (NDDA). The pilot brought together data from a range of domains relevant to people with disability, their families and carers, such as health and wellbeing; learning and skills; the justice system, safety and rights; personal and community support; inclusion and accessibility; and economic security. The pilot phase, which concluded on 31 December 2021, demonstrated value for government, academic and community use, including options for information sharing, research, and wider public reporting. In December 2021, the Australian Government announced funding of $40 million to further develop the NDDA. Decisions from governments are being sought about further work to establish an enduring NDDA, and (if agreed) how the next phase of development will progress.
New data collections may need to be developed. One example is the collation of transport data, specifically data about the accessibility of transport and services for people with disability. Another is information about mainstream services of critical importance to some people with disabilities (for example, speech therapy and other allied health services).
Another example relates to specialist disability services provided outside the NDIS. While a large scheme, the NDIS will not provide all specialist disability supports to all people with disability. The AIHW’s Disability Services National Minimum Data Set (DS NMDS) filled part of this gap but, post 2018–19, the last year of collection under the DS NMDS, no national data will be available on services outside the NDIS, other than open employment services. Such data are vital for examining the interactions between the NDIS and other services (PC 2017b, 2019).
As part of Australia’s Disability Strategy, the Australian and state and territory governments agreed to develop a comprehensive data plan to ensure data needed to measure outcomes for people with disability are collected, shared and progressively improved over the life of the Strategy, and to identify where data need to be linked between systems to improve understanding of the impact of the Strategy.
ABS (Australian Bureau of Statistics) (2013) Bridging the data gaps for family, domestic and sexual violence 2013, ABS cat no. 4529.0.00.002, ABS, accessed 18 November 2021.
ABS (2018a) ABS sources of disability information, 2012–2016, ABS cat no. 4431.0.55.002, ABS, accessed 18 November 2021.
ABS (2018b) Census of Population and Housing: estimating homelessness, 2016, ABS cat no. 2049.0, ABS, accessed 17 November 2021.
ABS (2018c) Experiences of violence and personal safety of people with disability, 2016, ABS cat. no. 4431.0.55.003, ABS, accessed 18 November 2021.
ABS (2019a) Disability, ageing and carers, Australia: summary of findings, 2018, ABS cat no. 4430.0, ABS, accessed 17 November 2021.
ABS (2019b) Sources of data for Aboriginal and Torres Strait Islander peoples with disability, 2012–2016, ABS cat no. 4431.0.55.004, ABS, accessed 17 November 2021.
Fortune N, Badland H, Clifton S, Emerson E, Rachele J, Stancliffe RJ, Zhou Q and Llewellyn G (2020) The Disability and Wellbeing Monitoring Framework and Indicators, technical report, Centre of Research Excellence in Disability and Health, Melbourne.
ONDC (Office of the National Data Commissioner) (2020) Draft Data Sharing Agreement Template, ONDC, accessed 18 November 2021.
PC (Productivity Commission) (2017a) Data availability and use, inquiry report, Productivity Commission.
PC (2017b) National Disability Insurance Scheme (NDIS) costs – study report, Productivity Commission.
PC (2019) Review of the National Disability Agreement – study report, Productivity Commission.
PM&C (Department of the Prime Minister and Cabinet) (2018) New Australian Government Data Sharing and Release Legislation: issues paper for consultation, PM&C, Australian Government.
SCRGSP (Steering Committee for the Review of Government Service Provision) (2021). Report on government services 2021, Productivity Commission.
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