Access to admitted patient care services is affected by various factors, such as the demographics of the patient. Included is information on the patient's:
The accessibility of admitted patient care services are measured using:
The accessibility of admitted patient care services can vary depending on the demographics of the patient. This section presents information on the variation of access to these services by demographic information for 2019–20, including information on the patients’:
In the data visualisation below, you can explore information on hospitalisations for 2019–20, by age group and sex, and age group and hospital sector.
All data in these visualisations are available for download in the Data & downloads section of the MyHospitals website.
Age group and sex
Two bar graphs show the number of hospitalisations per 1,000 population in 2019–20. Data is presented by age group and sex in the top bar graph and age and public/private hospital in the bottom bar graph. National data is available. In 2019–20, the rate of hospitalisation were highest for males aged 85+ (1,814 per 1,000 population) compared hospitalisations for women aged 85+ (1,255 per 1,000 population).
Between 2015–16 and 2019–20, hospitalisations for people aged 65–74 and 75–84 increased—
However, between 2014–15 and 2018–19, hospitalisations for people aged 65–74 rose by 21.0% (or 4.9% on average each year) and, for people aged 74–84, hospitalisations rose by 18% (or 4.3% on average each year). This suggests that the latest release of data is a smaller increase in the number of hospitalisations due to the impact of COVID-19.
What other information is available?
More data about patients’ access to hospital services can be found in Admitted patient care 2019–20, tables 3.1–3.7.
More information, Appendixes and caveat information, and data tables are available in the Info & downloads section.
Definitions of the terms used in this section are available in the Glossary.
Data about population estimates are available on the Australian Bureau Statistics’ website: https://www.abs.gov.au/census.
Separation rate ratio is calculated as the separation rate for the socioeconomic status of area of residence divided by the national separation rate.
Length of stay is the number of days between admission to hospital, and separation. The Average Length of Stay (ALOS) is calculated as the total number of patient days reported for the hospital (or group of hospitals), divided by the number of hospitalisations.
The Organisation for Economic Co-operation and Development (OECD) presents comparative information on the ALOS for overnight hospitalisations as an indicator of efficiency. The comparability of international ALOS may be affected by differences in definitions of hospitals, collection periods and admission practices.
The ALOS for selected AR-DRGs is an indicator of Efficiency and sustainability under the Australian Health Performance Framework (AHPF).
In the data visualisation below, you can view the ALOS by selected medical procedures, by state and territory, and by type of hospital (peer group).
Average length of stay
This bar graph shows the average length of stay for selected AR-DRGs in 2019–20. Data is presented by public/private. National data is available. In 2019–20, heart failure and shock had the longest length of stay for private hospitals at 6.1 days and knee replacement had the longest length of stay for public hospitals at 4.0 days.
Hospitals and LHNs
This figure shows the average length of overnight stay between 2011–12 and 2016–17. Data is presented by measure (average length of overnight stay, number of hospital stays, number of overnight bed stays, and percentage of hospital stays that were overnight), procedure category and peer group. Hospital data is available.
Between 2015–16 and 2019–20:
Significant changes in ALOS over time may be related to changes in admission practices and improvements in the coverage of reporting.
More information about ALOS can be found in figures 2.2–2.3 in Admitted patient care 2019–20: How much activity was there?
The average length of stay (ALOS) is calculated as the total number of patient days reported for the hospital (or group of hospitals), divided by the number of separations. Two measures for ALOS are presented:
The ALOS for selected AR-DRGs is an indicator of Efficiency and sustainability under the Australian Health Performance Framework (AHPF). The selected AR-DRGs were chosen on the basis of:
Due to changes in the AR-DRG classification, the data presented here are not comparable with the data presented in previous years.
The numbers of public and private hospitals in Australia can vary over time, reflecting the opening or closing of hospitals, the reclassification of hospitals as non‑hospital facilities (or vice-versa) and the amalgamation of existing hospitals.
The number of hospitals reported can be affected by jurisdictional variations in administrative and/or reporting arrangements and is not necessarily a measure of the number of physical hospital buildings or campuses.
This section reports on the number of public hospitals in Australia, reported by jurisdictions in the National Public Hospital Establishments Database 2019–20 (NPHED).
Local hospital networks (LHNs) directly manage single or small groups of public hospital services and their budgets, and are directly responsible for hospital performance. They are defined as those entities recognised as LHNs by the relevant state or territory health authority.
LHNs vary greatly in location, size and in the types of hospitals that they include. LHNs may include both public and private hospitals. The information presented below relates to public hospitals only.
Information about the availability of hospital beds in relation to the population provides some information about the accessibility of hospital services. However, the available data does not take account of the extent to which hospitals provide services for patients who usually reside in other areas of the state or territory, or in other jurisdictions. The patterns of bed availability across regions may also reflect the availability of other health-care services and patterns of disease and injury.
Average available beds is a census figure that reflects the number of beds available each day, on average, over the collection period.
On average, in 2019–20:
On average, between 2018–19 and 2019–20:
More information about changes in hospital and bed numbers over time is available to download in the Hospital Resources 2019–20 data tables. Data on public hospitals can be found in tables 4.1–4.4 and A.S1. Data on average available beds can be found in tables 4.5–4.8 and 5.3.
Hospital resources is a yearly publication that provides data on the number of public hospitals in Australia, public hospital workforce and funding.
The most recent data available for private hospitals and private free-standing day hospital facilities is for 2016–17, and is drawn from the Private Health Establishments Collection (PHEC) undertaken by the Australian Bureau of Statistics (ABS).
In 2016–17, the ABS reports there were 657 private hospitals in Australia.
Between 2012–13 and 2016–17:
The most recent data available for private hospitals and private free-standing day hospital facilities is for 2016–17, based on the Australian Bureau of Statistics (ABS) in the Private Health Establishments Collection (PHEC).
The PHEC data were discontinued after the 2016–17 reference period and therefore data for 2017–18 onwards are not available.
A specialised service unit is a facility or unit dedicated to the treatment or care of patients with particular conditions or characteristics, such as an intensive care unit.
In 2019–20, the most common specialised service units offered by public hospitals were:
There were 84 Intensive care units (level III and above) and 32 Neonatal intensive care units (level III and above).
The data visualisation below provides a list of selected services provided by individual hospitals, including specialised care units, in 2019–20.
The information about services provided by a particular hospital is intended as a general guide only. There is the potential for some omissions or errors in this information and readers should contact a hospital directly for the latest advice on the services available.
A list of the types of specialised units is available in the ‘More information about the data’ section below.
Specialised services and clinics
This figure shows the number of specialised service units in 2017-18, 2018-19 and 2019–20. Data is presented by unit category. Hospital data is available.
More information about these data can be found in Hospital resources 2019–20 data tables.
Types of specialised service unit include:
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