1 The Mental Health Services-Census Data Integration project combined data from the 2011 Census of Population and Housing with a subset of data from the Medical Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS). De-identified transaction information from the MBS and PBS was transformed to person-level information. Probabilistic linkage techniques were used to combine this information with person-records from the Census to create the Mental Health Services-Census Integrated Dataset, 2011.
2 The data were produced using the following data sources:
- 2011 Census of Population and Housing. The 2011 Census measured the number and key characteristics of people who were in Australia on Census night 9 August 2011. For information about the 2011 Census please refer to Census 2011 Reference and Information and Census Data Quality on the ABS website.
- Medicare Benefits Schedule data. The Department of Human Services collects data on the activity of all persons making claims through the Medicare Benefits Scheme and provides this information to the Department of Health. Information collected includes the type of service provided (MBS item number) and the benefit paid by Medicare for the service. The item numbers and benefits paid by Medicare are based on the Medicare Benefits Schedule which is a listing of the Medicare medications subsidised by the Australian Government. The Mental Health Services-Census Integrated Dataset includes those MBS subsidised mental health-related medications as defined in Appendix 1;
- Pharmaceutical Benefits Scheme data. The Department of Human Services provides data on prescriptions funded through the Pharmaceutical Benefits Scheme to the Department of Health. The PBS lists all of the medicines available to be dispensed to patients at a Government-subsidised price. The Government is advised by the Pharmaceutical Benefits Advisory Committee (PBAC) regarding which drugs should be listed on the PBS Scheme. The Mental Health Services-Census Integrated Dataset includes those PBS subsidised mental health-related medications as defined in Appendix 2.
3 The scope of the data is restricted to persons who responded to the 2011 Census of Population and Housing and who accessed subsidised mental health-related items listed on the MBS or PBS datasets in 2011. Data excludes:
- persons whose Census record indicated that they were an overseas visitor on Census night;
- persons who were out of the country on Census night; and
- persons who were not enumerated in the 2011 Census.
4 Data also excludes:
- Persons who received medications provided by hospital doctors to public patients in public hospitals, or medications that qualify for a benefit under the Department of Veterans' Affairs National Treatment Account;
- The Repatriation Pharmaceutical Benefits Scheme which is subsidised by the Department of Veterans’ Affairs;
- Persons who were supplied medications or accessed medications only through programs that do not use the Medicare processing system; for example, Aboriginal and Torres Strait Islander Health Programmes;
- Persons accessing private prescription drugs, over the counter drugs, and drugs that cost less than the co-payment.
5 These exclusions are discussed further in the Data Quality section.
6 At the completion of the linkage process:
- 1,072,284 person-records (69.6%) of the 1,540,836 person-records on the MBS dataset were linked to the 2011 Census;
- 1,669,278 person-records (70.9%) of the 2,354,118 person-records on the PBS dataset were linked to the 2011 Census; and
- 2,279,863 person-records (70.6%) of the 3,226,815 person-records on the combined MBS/PBS dataset were linked to the 2011 Census.
Overview of data integration
7 Statistical data integration involves combining information from different administrative and/or statistical sources to provide new datasets for statistical and research purposes (Endnote 5).
8 Data linking is a key part of statistical data integration and involves the technical process of combining records from different source datasets using variables that are shared between the sources. Data linkage is typically performed on records that represent individual persons, rather than aggregates. Two common methods used to link records are deterministic and probabilistic linkage. Deterministic linkage links person-records on exact matches using a unique identifier (such as a social security number or a created unique identifier such as a linkage key). Probabilistic linkage links person-records on close matches based on the relative likelihood that two records refer to the same person, using a number of linking variables (such as date of birth, sex, geographic area).
9 For further information on data integration see Glossary and the National Statistical Service website – Data Integration.
10 The Department of Health provided the ABS with de-identified MBS and de-identified PBS data extracts, while the Department of Human Services extracted and provided the associated de-identified demographic data extract on behalf of the Department of Health. This data was de-identified in that it did not include name, address, Medicare Number or Pharmaceutical Benefits number. ABS then transformed this administrative data from transaction-level to person-level.
11 Data from the 2011 Census, and the transformed MBS and PBS data, were brought together using probabilistic linkage. The variables used to link the MBS and PBS data to the Census were date of birth, sex and Mesh Block. The method involved linking without the use of name and address; this information was destroyed at the end of the 2011 Census processing cycle.
12 The process also placed importance on accuracy and uniqueness. Only records that matched exactly on the linkage variables and were unique matches were retained. In this linkage project, a unique match was defined as instances where a record on the MBS or PBS file had only one matching record on the Census, and that same Census record does not match to any other record on the MBS or PBS file.
13 Before records between datasets are compared, the contents of the linking variables of each dataset need to be as consistent as possible to facilitate comparison. This process is known as standardisation. The standardisation procedure for the Mental Health Services-Census Data Integration project included coding imputed and invalid values on the data to a common missing value. These variables included date of birth, age, sex, Mesh Block, Statistical Area Level 1 (SA1) and postcode.
14 The table below lists the variables used to link in each pass. Each record pair required exact matching of all variables used in the pass in order for a link to be created.
|Date of birth
15 The linkage rates that were achieved for the MBS and PBS datasets were in line with expected results, and were relatively consistent across most sub-populations - the exceptions were Northern Territory, Remote, Very Remote, and younger adults, which had lower linkage rates.
16 False links can occur during the linkage process because, even when a record pair matches on all linking fields, the records may not actually belong to the same individual. While the methodology is designed to ensure that the majority of links are true some false links will be present within the dataset.
17 There are three main reasons why records from the MBS and PBS datasets were not linked to a 2011 Census record:
- records belonging to the same individual were present in the MBS or PBS dataset and the 2011 Census but these records failed to be linked because they contained missing or inconsistent information in one or more of the datasets.
- there was no 2011 Census record corresponding to an MBS or PBS record because the person was not counted in the Census.
- there were more than one Census records that agreed on the same linkage variables – only unique matches were retained.
18 Some groups of records were more likely to link, or conversely less likely to link, than other groups of records. This resulted in over representation of some groups and under representation of others. Records are more difficult to link when a person has poorly reported, poorly coded, missing or non-applicable values for linking variables. The non-random distribution of links has the potential to cause bias.
19 To compensate for differences in propensity to link, the data were weighted to represent the original MBS and PBS datasets.
20 Weighting is the process of adjusting a sample to infer results for the relevant population. To do this, a 'weight' is allocated to each sample unit - in this case, persons. The weight can be considered an indication of how many people in the relevant population are represented by each person in the sample.
21 For this project, estimates were created by weighting the linked records to represent the original MBS and PBS datasets, using: age group, sex, State/Territory, Remoteness Area, SEIFA, and broad groups for medications and medications. For a relatively small number of records some of these variables were imputed for weighting purposes.
22 All data collections are subject to sampling and non-sampling error. Non-sampling error may occur in any data collection. Possible sources of non-sampling error include errors in reporting or recording of information, occasional errors in coding and processing data, and errors introduced by the linkage process (discussed above).
23 A small number of geographies (State and Remoteness Area) were imputed, and a very small number of unusual records were removed prior to linkage.
Medicare Benefits Schedule data
24 The Department of Human Services collects data on the activity of all persons making claims through the Medicare Benefits Scheme and provides this information to the Department of Health. Information collected includes the type of service provided (MBS item number) and the benefit paid by Medicare for the service. The item numbers and benefits paid by Medicare are based on the Medicare Benefits Schedule which is a listing of the Medicare medications subsidised by the Australian Government.
25 PBS data includes Medicare-subsidised mental health-related medications provided by psychiatrists, general practitioners (GPs), psychologists and other allied health professionals—including mental health nurses, occupational therapists, some social workers, and Aboriginal health workers. These medications are defined in the Medicare Benefits Schedule (See Appendix 1).
26 Medicare data covers medications that are provided out-of-hospital (e.g. in doctors' consulting rooms) as well as in-hospital medications provided to private patients whether they are treated in a private or public hospital. The figures do not include medications provided to public patients in public hospitals or medications that qualify for a benefit under the Department of Veterans Affairs National Treatment Account. The states and territories are the custodians of public hospital data (Endnote 6).
Pharmaceutical Benefits Scheme data
27 The Department of Human Services provides data on prescriptions funded through the Pharmaceutical Benefits Scheme (PBS) to the Department of Health. The PBS lists all of the medicines available to be dispensed to patients at a Government-subsidised price. The Government is advised by the Pharmaceutical Benefits Advisory Committee (PBAC) regarding which drugs should be listed on the PBS Scheme.
28 PBS data include subsidised prescription medications from the following groups: Antipsychotics, Anxiolytics, Hypnotics and Sedatives, Antidepressants, and Psychostimulants, agents used for ADHD and nootropics (see Appendix 2).
29 The data refer only to prescriptions scripted by registered medical practitioners who are approved to work within the PBS and to paid medications processed from claims presented by approved pharmacists who comply with certain conditions. They exclude adjustments made against pharmacists’ claims, any manually paid claims or any benefits paid as a result of retrospective entitlement or refund of patient contributions (Endnote 7).
30 The PBS data exclude non-subsidised medications, such as private and over-the-counter medications. Under co-payment prescriptions (where the patient co-payment covers the total costs of the prescribed medication) data are available from mid-2012; and therefore not available for 2011 (Endnote 7).
31 Data does not include the Repatriation Pharmaceutical Benefits Scheme (RPBS) which is subsidised by the Department of Veterans’ Affairs (Endnote 8).
32 Whilst data on medication dosage was obtained, it has not been considered in analyses in this publication.
Census of population and housing
33 The 2011 Census measured the number and key characteristics of people who were in Australia on Census night 9 August 2011. For information about the 2011 Census please refer to Census 2011 Reference and Information and Census Data Quality on the ABS website.
34 In this publication, only persons who were at home on Census night in their usual place of residence are included in analysis. The definition of usual residence refers to the address at which a person lives or intends to live for six months or more. Data are self-reported and in some cases, the address that is reported may be that which respondents consider their 'usual address' rather than necessarily meeting the technical definition.
35 People who were elsewhere in Australia on Census night (that is, enumerated in a dwelling other than their place of usual residence) are not included in analysis, as Census variables such as household composition, family composition, tenure and landlord type are not available for these people.
36 The Mesh Block information used in the linkage process may not be aligned between the PBS and PBS files, and the Census, for a range of reasons, including:
- Differences arising because MBS and PBS mesh block are based on postal address whereas the Census mesh block was based on the usual residential address;
- Persons may have changed their address but not updated their Medicare records.
37 Medicare claims data used in this dataset are based on the Mesh Block of the enrolment address of the patient. As clients may receive medications in locations other than where they live, these data do not necessarily reflect the location in which medications were received (Endnote 9). The data therefore reflects geographic information about the patient, rather than where they received each service – for example, the data does not show GP medications by state, but rather the GP medications provided to patients in each state.
38 People living in Remote and Very Remote areas of Australia are under-represented in the data. This may be for a number of reasons including:
- GPs are less likely to charge Medicare in Remote areas (Endnote 10).
- Non-metropolitan hospitals are more likely to admit patients, and people in Remote areas are more likely to attend hospital accident and emergency departments for primary care medical consultations than people from Major Cities (Endnote 10). People accessing these hospital medications may be public inpatients and therefore not in scope. States and Territories are the custodians for this data and it is not included in the dataset.
- In 2010-11, despite there being more GPs in Remote areas, there were about half the GP medications provided per person in Very Remote areas as in Major Cities (Endnote 11).
- The Aboriginal Health Medications Program is funded by the PBS however person-level data is not in the PBS processing system. Data from Remote and Very Remote areas, and the data from the Northern Territory are most affected (Endnote 7).
- Section 100 of the National Health Act, 1953 allows for the Minister to make special arrangements for the supply of medications to people living in isolated areas. These medications do not appear in the PBS data.
39 The Census also undercounts the number of people living in some areas of Australia more than others. In 2011, the Northern Territory recorded the highest net undercount rate of all states and territories (6.9%) and showed the largest difference in the net undercount rate between its greater capital city and rest of state region (3.7% and 10.9% respectively) (Endnote 12).
40 Estimates presented in this publication have been rounded. Proportions are based on unrounded estimates. Calculations using rounded estimates may differ from those published.
41 The ABS acknowledges the continuing support provided by the National Mental Health Commission and the Department of Health for this project. The provision of data by the Department of Health and the Department of Human Services as well as funding from the National Mental Health Commission was essential to enable this important work to be undertaken. The enhancement of mental health statistics through data linkage by the ABS would not be possible without their cooperation and support.
42 The ABS also acknowledges the importance of the information provided freely by individuals in the course of the 2011 Census. Census information provided by individuals to the ABS is treated in the strictest confidence as is required by the Census and Statistics Act (1905). MBS and PBS information provided by the Department of Health and the Department of Human Services to the ABS is treated in the strictest confidence as is required by the National Health Act (1953) and the Health Insurance Act (1973).
- Australian Bureau of Statistics, 2006-2011, Outcomes from Vocational Education and Training in Schools, Experimental Estimates, Australia, (ABS cat. no. 4260.0, 2011), http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/4260.0Explanatory%20Notes312006-2011?OpenDocument, last accessed 18/03/2016.
- Department of Human Services, 2014, Medicare Item Reports, https://www.humanservices.gov.au/individuals/medicare, last accessed 18/03/2016.
- Australian Institute of Health and Welfare, 2014, 'Medicare-subsidised mental health-related prescriptions', https://www.aihw.gov.au/, last accessed 18/03/2016.
- Department of Veterans' Affairs, 2014 'Repatriation Pharmaceutical Benefits Scheme', http://www.dva.gov.au/service_providers/doctors/Pages/rpbs.aspx, last accessed 18/03/2016.
- Productivity Commission, 2014, 'Data quality information — Mental health management, chapter 12', Report on Government Medications 2014, http://www.pc.gov.au/, last accessed 18/03/2016.
- Australian Institute of Health and Welfare, 2005, 'Rural, regional and remote health Information framework and indicators', http://www.aihw.gov.au/WorkArea/DownloadAsset.aspx?id=6442459707, last accessed 18/03/2016.
- Australian Institute of Health and Welfare, Jun 2014, Australia's health 2014, Chapter 5 'Health behaviours and other risks to health: Health in regional and remote areas', http://www.aihw.gov.au/, last accessed 18/03/2016.
- Australian Bureau of Statistics, 2012, 'Estimates of Undercount' Census of Population and Housing - Details of Undercount, 2011 (cat. no. 2940.0), http://www.abs.gov.au/ausstats/abs@.nsf/Products/2940.0~2011~Main+Features~Estimates+of+net+undercount?OpenDocument, last accessed 18/03/2016.