2.2 Heart failure
Heart failure accounts for a large number of hospitalisations in Australia. Find out about variation in heart failure hospitalisation rates in the Fourth Australian Atlas of Healthcare Variation 2021.
At a glance
- Chronic heart failure is a condition that occurs when the heart becomes weaker or less effective. Causes include high blood pressure or a past heart attack
- After standardising to remove age and sex differences between populations, the rate of hospitalisations for heart failure in 2017–18 was 5.8 times as high in the area with the highest rate compared with the area with the lowest rate
- In 2017–18, the rate of heart failure among Aboriginal and Torres Strait Islander people was 2.3 times as high as that for other Australians
- Hospital care is appropriate for severe heart failure, but well-coordinated care in the community can keep people with heart failure well enough to reduce their need for hospitalisation.
Interactive maps, graphs and data
Data show variation in rates by geographic location of patient residence. To use the interactive maps and graphs:
- Hover or click on maps and graphs for details of data points
- Use the dropdown boxes at the bottom of graphs to select states and territories, SA3s or PHNs
Learn more about using the interactive Atlas or how to interpret the data.
Map of rates across Australia
Rates by local area
//viz.aihw.gov.au/t/Public/views/Histogram_Heartfailure/Histogram?%3Aiid=1&%3Aembed=y#1
Rates by state and territory
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Heart_Failure/Stateandterritory?:iid=1&:embed=y#1
Rates by remoteness and SES
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Heart_Failure/RemotenessandSES?:iid=1&:embed=y#1
About the data
About the data - Heart Failure
All hospitalisations with a principal diagnosis of heart failure (with reduced or preserved ejection fraction) are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, as well as hospital care in the home.
Rates are based on the number of hospitalisations for heart failure per 100,000 people of all ages in 2017–18.
Because a record is included for each hospitalisation for the condition, rather than for each patient, patients hospitalised for the condition more than once in the financial year will be counted more than once.
The analysis and maps are based on the residential address of the patient and not the location of the hospital.
Rates are age and sex standardised to allow comparisons between populations with different age and sex structures.
Data quality issues – for example, the extent of identification of Aboriginal and Torres Strait Islander status in datasets – could influence variations seen.
About the Atlas and how to interpret the data visualisations
This document outlines how to interpret the data correctly and explains the limitations of the data prior to using the Atlas:
Map of rates across Australia
Rates by local area
//viz.aihw.gov.au/t/Public/views/Histogram_Heartfailure/Histogram?%3Aiid=1&%3Aembed=y#1
Rates by state and territory
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Heart_Failure/Stateandterritory?:iid=1&:embed=y#1
Rates by remoteness and SES
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Heart_Failure/RemotenessandSES?:iid=1&:embed=y#1
About the data
About the data - Heart Failure
All hospitalisations with a principal diagnosis of heart failure (with reduced or preserved ejection fraction) are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, as well as hospital care in the home.
Rates are based on the number of hospitalisations for heart failure per 100,000 people of all ages in 2017–18.
Because a record is included for each hospitalisation for the condition, rather than for each patient, patients hospitalised for the condition more than once in the financial year will be counted more than once.
The analysis and maps are based on the residential address of the patient and not the location of the hospital.
Rates are age and sex standardised to allow comparisons between populations with different age and sex structures.
Data quality issues – for example, the extent of identification of Aboriginal and Torres Strait Islander status in datasets – could influence variations seen.
About the Atlas and how to interpret the data visualisations
This document outlines how to interpret the data correctly and explains the limitations of the data prior to using the Atlas:
Rates by Aboriginal and Torres Strait Islander status
Rates by Aboriginal and Torres Strait Islander people across years
//viz.aihw.gov.au/t/Public/views/Linegraph_Heartfailure/RatesforAboriginalandTorresStraitIslanderpeopleacrossyears?%3Aiid=1&%3Aembed=y#1
About the data
About the data - Heart Failure
All hospitalisations with a principal diagnosis of heart failure (with reduced or preserved ejection fraction) are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, as well as hospital care in the home.
Rates are based on the number of hospitalisations for heart failure per 100,000 people of all ages in 2017–18.
Because a record is included for each hospitalisation for the condition, rather than for each patient, patients hospitalised for the condition more than once in the financial year will be counted more than once.
The analysis and maps are based on the residential address of the patient and not the location of the hospital.
Rates are age and sex standardised to allow comparisons between populations with different age and sex structures.
Data quality issues – for example, the extent of identification of Aboriginal and Torres Strait Islander status in datasets – could influence variations seen.
About the Atlas and how to interpret the data visualisations
This document outlines how to interpret the data correctly and explains the limitations of the data prior to using the Atlas:
Rates by Aboriginal and Torres Strait Islander status
Rates by Aboriginal and Torres Strait Islander people across years
//viz.aihw.gov.au/t/Public/views/Linegraph_Heartfailure/RatesforAboriginalandTorresStraitIslanderpeopleacrossyears?%3Aiid=1&%3Aembed=y#1
About the data
About the data - Heart Failure
All hospitalisations with a principal diagnosis of heart failure (with reduced or preserved ejection fraction) are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, as well as hospital care in the home.
Rates are based on the number of hospitalisations for heart failure per 100,000 people of all ages in 2017–18.
Because a record is included for each hospitalisation for the condition, rather than for each patient, patients hospitalised for the condition more than once in the financial year will be counted more than once.
The analysis and maps are based on the residential address of the patient and not the location of the hospital.
Rates are age and sex standardised to allow comparisons between populations with different age and sex structures.
Data quality issues – for example, the extent of identification of Aboriginal and Torres Strait Islander status in datasets – could influence variations seen.
About the Atlas and how to interpret the data visualisations
This document outlines how to interpret the data correctly and explains the limitations of the data prior to using the Atlas:
National overview
State and Territory Rates across years
//viz.aihw.gov.au/t/Public/views/Linegraph_Heartfailure/Stateandterritoryratesacrossyears?%3Aiid=1&%3Aembed=y#1
Consistently high and low
//viz.aihw.gov.au/t/Public/views/Linegraph_Heartfailure/ConsistentlyhighandlowSA3s?%3Aiid=2&%3Aembed=y#2
About the data
About the data - Heart Failure
All hospitalisations with a principal diagnosis of heart failure (with reduced or preserved ejection fraction) are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, as well as hospital care in the home.
Rates are based on the number of hospitalisations for heart failure per 100,000 people of all ages in 2017–18.
Because a record is included for each hospitalisation for the condition, rather than for each patient, patients hospitalised for the condition more than once in the financial year will be counted more than once.
The analysis and maps are based on the residential address of the patient and not the location of the hospital.
Rates are age and sex standardised to allow comparisons between populations with different age and sex structures.
Data quality issues – for example, the extent of identification of Aboriginal and Torres Strait Islander status in datasets – could influence variations seen.
About the Atlas and how to interpret the data visualisations
This document outlines how to interpret the data correctly and explains the limitations of the data prior to using the Atlas:
National overview
State and Territory Rates across years
//viz.aihw.gov.au/t/Public/views/Linegraph_Heartfailure/Stateandterritoryratesacrossyears?%3Aiid=1&%3Aembed=y#1
Consistently high and low
//viz.aihw.gov.au/t/Public/views/Linegraph_Heartfailure/ConsistentlyhighandlowSA3s?%3Aiid=2&%3Aembed=y#2
About the data
About the data - Heart Failure
All hospitalisations with a principal diagnosis of heart failure (with reduced or preserved ejection fraction) are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, as well as hospital care in the home.
Rates are based on the number of hospitalisations for heart failure per 100,000 people of all ages in 2017–18.
Because a record is included for each hospitalisation for the condition, rather than for each patient, patients hospitalised for the condition more than once in the financial year will be counted more than once.
The analysis and maps are based on the residential address of the patient and not the location of the hospital.
Rates are age and sex standardised to allow comparisons between populations with different age and sex structures.
Data quality issues – for example, the extent of identification of Aboriginal and Torres Strait Islander status in datasets – could influence variations seen.
About the Atlas and how to interpret the data visualisations
This document outlines how to interpret the data correctly and explains the limitations of the data prior to using the Atlas:
Data
Download the data sheet for heart failure:
Technical Supplement
Download the Technical Supplement:
Data
Download the data sheet for heart failure:
Technical Supplement
Download the Technical Supplement: