QUALITY DECLARATION - SUMMARY
For information on the institutional environment of the Australian Bureau of Statistics (ABS), including the legislative obligations of the ABS, financing and governance arrangements, and mechanisms for scrutiny of ABS operations, please see the ABS Institutional Environment.
Data on Patient Experience were collected as part of the 2016–17 Multipurpose Household Survey (MPHS). Respondents were asked questions about their experiences with health services in Australia. The type of information collected included their interactions with general practitioners, dentists, medical specialists and hospitals, as well as their use of pathology and imaging tests. In the MPHS, information is collected from one person selected at random in each selected household. The MPHS is a supplement to the monthly Labour Force Survey (LFS) and is designed to collect annual statistics on a small number of self-contained topics.
The scope of the LFS is restricted to persons aged 15 years and over and excludes members of the permanent defence forces; certain diplomatic personnel of overseas governments usually excluded from Census and estimated resident populations; overseas residents in Australia; and members of non-Australian defence forces (and their dependants). Refer to Labour Force, Australia (cat. no. 6202.0) for further information regarding the LFS. In addition, the 2016–17 MPHS excluded persons living in Indigenous communities and persons living in non-private dwellings such as hotels, university residences, students at boarding schools, patients in hospitals, inmates of prisons and residents of other institutions (e.g. retirement homes, homes for persons with disabilities).
The MPHS is conducted annually with enumeration undertaken over the financial year. The Patient Experience topic has been collected each year as part of the MPHS since 2009. Generally, data are released approximately five months after the end of MPHS enumeration.
The LFS, and consequently the MPHS, is primarily designed to provide estimates for the whole of Australia and, secondly, for each state and territory.
Two types of error are possible in an estimate based on a sample survey: non-sampling error and sampling error. Non-sampling error arises from inaccuracies in collecting, recording and processing the data. Every effort is made to minimise reporting error by the careful design of questionnaires, intensive training and supervision of interviewers, and efficient data processing procedures. Non-sampling error also arises because information cannot be obtained from all persons selected in the survey.
Sampling error occurs because a sample, rather than the entire population, is surveyed. One measure of the likely difference resulting from not including all dwellings in the survey is given by the standard error (SE). There are about two chances in three that a sample estimate will differ by less than one SE from the figure that would have been obtained if all dwellings had been included in the survey, and about 19 chances in 20 that the difference will be less than two SEs. Measures of the relative standard errors (RSE) of the estimates for this survey are included with this release.
Only estimates with RSEs less than 25% are considered sufficiently reliable for most purposes. Estimates with RSEs between 25% and 50% have been included and are annotated to indicate they are subject to high sample variability and should be used with caution. In addition, estimates with RSEs greater than 50% have also been included and annotated to indicate they are considered too unreliable for general use.
Another measure is the Margin of Error (MOE), which describes the distance from the population value of the estimate at a given confidence level, and is specified at a given level of confidence. Confidence levels typically used are 90%, 95% and 99%. For example, at the 95% confidence level the MOE indicates that there are about 19 chances in 20 that the estimate will differ by less than the specified MOE from the population value (the figure obtained if all dwellings had been enumerated). The MOEs in this publication are calculated at the 95% confidence level.
Estimates of proportions with an MOE greater than 10% are annotated to indicate they are subject to high sample variability and particular consideration should be given to the MOE when using these estimates. Depending on how the estimate is to be used, an MOE greater than 10% may be considered too large to inform decisions.
The ABS seeks to maximise consistency and comparability over time by minimising changes to the survey. However, sound survey practice requires ongoing development to maintain and improve the integrity of the data. Due to changes in the questionnaire, certain data items from each iteration of the Patient Experience Survey are not comparable year to year. For changes between iterations of the survey please refer to the Data Comparability section of the Explanatory Notes.
Due to differences in collection methods and question wording, health data collected in the Patient Experience Survey may not be comparable with data from other ABS health surveys, such as the Australian Health Survey, General Social Survey and Survey of Disability, Ageing and Carers.
To aid in the interpretation of the data, detailed information on concepts, definitions, terminology and other technical aspects of the survey can be found in the relevant web pages included with this release.
All tables and associated RSEs and MOEs are available in Excel spreadsheets which can be accessed from the Downloads tab.
Additional tables may also be available on request. The Downloads tab also includes a document containing a complete list of the data items available. Note that detailed data can be subject to high RSEs and MOEs, which in some cases may result in data being confidentialised.
Data from this survey will also be accessible in the TableBuilder environment, enabling users to create their own customised output as required. For further details, refer to the Microdata Entry Page on the ABS website.