Patient Experiences methodology

Survey estimates of counts of persons are obtained by summing the weights of persons with the characteristic of interest.

Weighting is the process of adjusting results from a sample survey to infer results for the total 'in-scope' population. To do this, a 'weight' is allocated to each enumerated person. The weight is a value which indicates the number of persons in the population represented by the sample person.

The first step in calculating weights for each unit is to assign an initial weight, which is the inverse of the probability of being selected in the survey. For example, if the probability of a person being selected in the survey was 1 in 600, then the person would have an initial weight of 600 (that is, they represent 600 people).

The initial weights were calibrated to align with independent estimates of the population of interest, referred to as 'benchmarks'. Weights calibrated against population benchmarks ensure that the survey estimates conform to the independently estimated distribution of the population rather than the distribution within the sample itself. Calibration to population benchmarks helps to compensate for over or under-enumeration of particular categories of persons/households which may occur due to either the random nature of sampling or non-response.

The survey was benchmarked to the Estimated Resident Population (ERP) living in private dwellings in each state and territory at December 2021. People living in Indigenous communities were excluded. These benchmarks are based on the 2021 Census.

While LFS benchmarks are revised every 5 years, to take into account the outcome of the 5-yearly rebasing of the ERP following the latest Census, the supplementary surveys and MPHS (from which the statistics in this publication are taken) are not. Small differences will therefore exist between the civilian population aged 15 years and over reflected in the LFS and other labour household surveys estimates, as well as over time. If comparisons are being made over time then proportions should be used rather than estimates of persons.

The estimates in this publication are based on information obtained from a sample survey. Any data collection may encounter factors, known as non-sampling error, which can impact on the reliability of the resulting statistics. In addition, the reliability of estimates based on sample surveys are also subject to sampling variability. That is, the estimates may differ from those that would have been produced had all persons in the population been included in the survey. This is known as sampling error.

Non-sampling error is caused by factors other than those related to sample selection. It is any factor that results in the data values not accurately reflecting the true value of the population.

It can occur at any stage throughout the survey process. Examples include:

• selected people that do not respond (e.g. refusals, non-contact) 
• questions being misunderstood
• responses being incorrectly recorded
• errors in coding or processing the survey data.

Sampling error is the expected difference that can occur between the published estimates and the value that would have been produced if the whole population had been surveyed. Sampling error is the result of random variation and can be estimated using measures of variance in the data.

One measure of sampling error is the standard error (SE). There are about two chances in three that an estimate will differ by less than one SE from the figure that would have been obtained if the whole population had been included. There are about 19 chances in 20 that an estimate will differ by less than two SEs.

This publication reports the relative standard error (RSE) for estimates of counts ('000) and the margin of error (MOE) for estimates of proportions (%).

Information recorded in this survey is 'as reported' by respondents, and may differ from that which might be obtained from other sources or via other methodologies. This factor should be considered when interpreting the data in this publication.

Information was collected on respondents' perceptions of their health status and experiences with services. Perceptions are influenced by a number of factors and can change quickly. Care should therefore be taken when analysing or interpreting the data.

The definition of 'need' (in questions where respondents were asked whether they needed to use a particular health service) was left to respondents' interpretation.

For some questions which called for personal opinions, such as self-assessed health or whether waiting times were felt to be unacceptable, responses from proxy interviews were not collected.

Country of birth data are classified according to the Standard Australian Classification of Countries (SACC), 2016. 

Education data are coded to the Australian Standard Classification of Education (ASCED), 2001. The ASCED is a national standard classification which can be applied to all sectors of the Australian education system including schools, vocational education and training and higher education. The ASCED comprises two classifications: Level of Education and Field of Education.

Australian geographic data are classified according to the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016. Remoteness areas are classified according to the Australian Statistical Geography Standard (ASGS): Volume 5 - Remoteness Structure, July 2016.

Industry data are classified according to the Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (Revision 2.0). 

Occupation data are classified according to the ANZSCO – Australian and New Zealand Standard Classification of Occupations, First Edition, Revision 1, 2009.

This survey uses the 2016 Socio-economic Indexes for Areas (SEIFA).  

SEIFA is a suite of four summary measures that have been created from 2016 Census information. Each index summarises a different aspect of the socio-economic conditions of people living in an area. The indexes provide more general measures of socio-economic status than is given by measures such as income or unemployment alone.

For each index, every geographic area in Australia is given a SEIFA number which shows how disadvantaged that area is compared with other areas in Australia.

The index used in this publication is the Index of Relative Socio-economic Disadvantage, derived from Census variables related to disadvantage such as low income, low educational attainment, unemployment, jobs in relatively unskilled occupations and dwellings without motor vehicles.

SEIFA uses a broad definition of relative socio-economic disadvantage in terms of people's access to material and social resources, and their ability to participate in society. While SEIFA represents an average of all people living in an area, it does not represent the individual situation of each person. Larger areas are more likely to have greater diversity of people and households.

For more detail and for the SEIFA 2016 Technical paper (under Downloads) go to Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia, 2016.

After hours means:

• before 8am or after 1pm on a Saturday
• any time on a Sunday or Public Holiday
• or before 8am or after 8pm on any other day.

To be placed in this category, respondents must have stated that cost was one of the reasons they delayed seeing or did not see a health professional when needed.

To be placed in this category, respondents must have stated that the main reason they delayed seeing or did not see a health professional when needed, included:

• Dislike or fear of the service
• Waiting time was too long
• Service was not available when required
• Had an upcoming appointment
• Was too busy
• Inadequate access to transport/distance too far, or
• Other reason (besides cost).

Coordination of health care has been defined as the deliberate organisation of patient care activities between two or more health professionals involved in a patient’s care to facilitate the appropriate delivery of health care services.

Includes dentists, dental hygienists and dental specialists such as periodontists, orthodontists, and oral and maxillofacial surgeons.

Full-time work is 35 hours or more per week. The number of hours can be calculated based on the number usually worked or the number actually worked during the week before interview.

GPs are doctors who have completed a basic medical degree and internship, then do additional medical training in general practice. This qualifies them to provide continuing care for everyone from babies to the elderly. They have broad knowledge and skills and are usually the first point of contact for health issues and referrals to specialists or other health professionals.

The formal acceptance by a hospital or other in-patient health care facility of a patient who is to be provided with a room and continuous nursing service. This includes respondents who have been admitted to hospital following a visit to a hospital emergency department.

Any time a person went to an emergency department for their own health, whether it was within normal GP practising hours or after hours.

This is one of four Socio-Economic Indexes for Areas (SEIFAs) compiled by the ABS following each Census of Population and Housing. This index summarises attributes such as low income, low educational attainment, unemployment, jobs in relatively unskilled occupations and dwellings without motor vehicles. The first or lowest quintile refers to the most disadvantaged areas, while the fifth or highest quintile refers to the least disadvantaged areas.

A condition that has lasted, or is likely to last, six months or more. Respondents were specifically asked whether they had any of the following conditions:

• arthritis or osteoporosis
• asthma
• cancer
• diabetes
• a heart or circulatory condition
• a mental health condition, including depression or anxiety
• a long-term injury
• any other long-term health condition.

If respondents sought clarification, interviewers were instructed to include:

• conditions currently controlled by medication
• cancer where the respondent reported having cancer without any explanation
• cancer where the respondent was undergoing treatment such as chemotherapy or radiotherapy
• mental illness where the respondent was not currently experiencing an episode.

Interviewers were instructed to exclude pregnancy, and cancer where the respondent received a false positive test result.

Medical specialists play a crucial role in the management and treatment of health conditions where they have specialist knowledge and skills. If respondents sought clarification on the definition of medical specialist, interviewers were instructed to advise that medical specialists provide services which are covered, at least in part, by Medicare (e.g. dermatologists, cardiologists, neurologists and gynaecologists).

In the data presented in this publication, populations are sometimes based on those who needed to use a service. In most cases, this population is a combination of those who used the service and those who didn't but said they needed to use the service. The definition of need was left to respondents' interpretation for this survey.

Other mental health professionals include mental health nurses, social workers, counsellors and occupational therapists.

Part-time work is less than 35 hours per week. The number of hours can be calculated based on the amount usually worked or the number actually worked during the week before interview.

Refers to voluntary coverage through a private insurer (e.g. Medibank Private, HCF and Bupa).

Depending on the type of cover purchased, private health insurance provides cover against all or part of:

• hospital theatre and accommodation costs in either a public or private hospital
• medical costs in hospital
• costs associated with a range of services not covered under Medicare, including ambulance services, private dental services, optical, chiropractic and physiotherapy.

Any public dental service that is partly or fully funded by the government, including public dental services provided at a private dental clinic.

The Australian Statistical Geography Standard (ASGS) was used to define remoteness. Remoteness Areas divide Australia into five classes of remoteness on the basis of a measure of relative access to services. The Remoteness Structure is described in detail in the Australian Statistical Geography Standard (ASGS): Volume 5 - Remoteness Structure, July 2016.

A person's impression of their own health against a five point scale from excellent through to poor.

Differences between population estimates are said to be statistically significant when it can be stated with 95% confidence that there is a real difference between the populations (see the Processing the data section for more information).

Telehealth services are appointments with a health professional over the phone, by video conferencing or through other communication technologies.