2.3 Diabetes complications
Diabetes complications accounted for 7% of all potentially preventable hospitalisations in Australia in 2017–18. Find out about variation in hospitalisation rates for diabetes complications in the Fourth Australian Atlas of Healthcare Variation 2021.
At a glance
- Complications of diabetes include stroke, heart disease, kidney disease, eye disease, foot ulcers and foot amputations. Hospitalisation for diabetes complications is common
- After standardising to remove age and sex differences between populations, the rate of hospitalisation for diabetes in 2017–18 was 12.2 times as high in the area with the highest rate than in the area with the lowest rate. The rate for Aboriginal and Torres Strait Islander people was 3.7 times as high as the rate for other Australians
- Diabetes complications and hospitalisations could be reduced by better management, and prevention, of diabetes. This may include education about self-management of diabetes, and better coordinated health care.
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_Diabetes/Histogram?:iid=1&:embed=y#1
Rates by state and territory
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Diabetes/Stateandterritory?%3Aiid=1&%3Aembed=y#1
Rates by remoteness and SES
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Diabetes/RemotenessandSES?%3Aiid=1&%3Aembed=y#1
About the data
About the data - Diabetes complications
All hospitalisations with a principal diagnosis of type 1, type 2 and unspecified diabetes are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, including hospital care in the home.
Rates are based on the number of hospitalisations for diabetes complications 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 graphs are based on the usual 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_Diabetes/Histogram?:iid=1&:embed=y#1
Rates by state and territory
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Diabetes/Stateandterritory?%3Aiid=1&%3Aembed=y#1
Rates by remoteness and SES
//viz.aihw.gov.au/t/Public/views/SOP_PPH_Diabetes/RemotenessandSES?%3Aiid=1&%3Aembed=y#1
About the data
About the data - Diabetes complications
All hospitalisations with a principal diagnosis of type 1, type 2 and unspecified diabetes are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, including hospital care in the home.
Rates are based on the number of hospitalisations for diabetes complications 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 graphs are based on the usual 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 status across years
//viz.aihw.gov.au/t/Public/views/Linegraph_Diabetes/RatesforAboriginalandTorresStraitIslanderpeopleacrossyears?%3Aiid=1&%3Aembed=y#1
About the data
About the data - Diabetes complications
All hospitalisations with a principal diagnosis of type 1, type 2 and unspecified diabetes are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, including hospital care in the home.
Rates are based on the number of hospitalisations for diabetes complications 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 graphs are based on the usual 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 status across years
//viz.aihw.gov.au/t/Public/views/Linegraph_Diabetes/RatesforAboriginalandTorresStraitIslanderpeopleacrossyears?%3Aiid=1&%3Aembed=y#1
About the data
About the data - Diabetes complications
All hospitalisations with a principal diagnosis of type 1, type 2 and unspecified diabetes are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, including hospital care in the home.
Rates are based on the number of hospitalisations for diabetes complications 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 graphs are based on the usual 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_Diabetes/Stateandterritoryratesacrossyears?%3Aiid=1&%3Aembed=y#2
Consistently high low
//viz.aihw.gov.au/t/Public/views/Linegraph_Diabetes/ConsistentlyhighandlowSA3s?%3Aiid=2&%3Aembed=y#1
About the data
About the data - Diabetes complications
All hospitalisations with a principal diagnosis of type 1, type 2 and unspecified diabetes are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, including hospital care in the home.
Rates are based on the number of hospitalisations for diabetes complications 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 graphs are based on the usual 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_Diabetes/Stateandterritoryratesacrossyears?%3Aiid=1&%3Aembed=y#2
Consistently high low
//viz.aihw.gov.au/t/Public/views/Linegraph_Diabetes/ConsistentlyhighandlowSA3s?%3Aiid=2&%3Aembed=y#1
About the data
About the data - Diabetes complications
All hospitalisations with a principal diagnosis of type 1, type 2 and unspecified diabetes are included.
Data are sourced from the National Hospital Morbidity Database, and include admitted patients in both public and private hospitals, including hospital care in the home.
Rates are based on the number of hospitalisations for diabetes complications 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 graphs are based on the usual 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 Diabetes complications:
Technical Supplement
Download the Technical Supplement:
Data
Download the data sheet for Diabetes complications:
Technical Supplement
Download the Technical Supplement: