Health conditions

Measures

• Number of hospitalisations due to top 5 reasons among First Nations people.


• Proportion of all hospitalisations due to top 5 reasons among First Nations people.

Available by

Sex: males, females, persons

Data period

2017-18 to 2021-22

Data sources

National Hospital Morbidity Database (NHMD).

Region types

• Main structures: Australia, states and territories.


• Indigenous structures: Indigenous Regions (IREG).

Suppression

• Data have been suppressed to protect confidentiality when the number of hospitalisations is less than 5, including the use of consequential suppression to prevent back-calculation.


• Proportions have been suppressed when the denominator is less than 100 due to concerns about data volatility.

Notes

• Data were five financial years combined, based on usual residence of the patient – not on location of the hospital.


• Data at the IREG level were aggregated from SA2s by using ABS Indigenous population-weighted geographic correspondences.


• Hospitalisations were grouped into 20 categories based on principal diagnosis coded to the ICD-10-AM codes (in parenthesis).

1. Certain infectious and parasitic diseases (A00–B99).


2. Neoplasms (C00–D48).


3. Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (D50–D89).


4. Endocrine, nutritional and metabolic diseases (E00–E89).


5. Mental and behavioural disorders (F00–F99).


6. Diseases of the nervous system (G00–G99).


7. Diseases of the eye and adnexa (H00–H59).


8. Diseases of the ear and mastoid process (H60–H95).


9. Diseases of the circulatory system (I00–I99).


10. Diseases of the respiratory system (J00–J99).


11. Diseases of the digestive system (K00–K93).


12. Diseases of the skin and subcutaneous tissue (L00–L99).


13. Diseases of the musculoskeletal system and connective tissue (M00–M99).


14. Diseases of the genitourinary system (N00–N99).


15. Pregnancy, childbirth and the puerperium (O00–O99).


16. Certain conditions originating in the perinatal period (P00–P96).


17. Congenital malformations, deformations and chromosomal abnormalities (Q00–Q99).


18. Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00–R99, U060, U071, U075).


19. Injury, poisoning and certain other consequences of external causes (S00–T98).


20. Factors influencing health status and contact with health services (Z00–Z99) (except dialysis).

• Hospitalisations with the care types “newborn with unqualified days only” (7.3), “organ procurement - posthumous” (9) or “hospital boarder” (10) were excluded from the analysis.


• Hospitalisations with a principal diagnosis of dialysis (ICD-10 code Z49) were excluded from the analysis.

• Number of hospitalisations for selected chronic conditions.


• Age-standardised rate (per 1,000) of hospitalisations for selected chronic conditions.


• Crude rate (per 1,000) of hospitalisations for selected chronic conditions among First Nations people

Selected chronic condition categories

• Cancer


• Chronic kidney disease (CKD)


• Chronic obstructive pulmonary disease (COPD)


• Coronary heart disease


• Diabetes


• Mental health

Available by

• Sex: male, female, persons.


• Indigenous status: First Nations, non-Indigenous.

Data period

2017–18 to 2021–22

Data sources

• National Hospital Morbidity Database (NHMD).


• ABS Aboriginal and Torres Strait Islander population estimates and projections (series B) based on the 2016 Census.

Region types

• Main structures: Australia, states and territories, Statistical Area Level 4 (SA4), Statistical Area Level 3 (SA3).


• Indigenous structures: Indigenous Regions (IREG).

Suppression

• Data have been suppressed to protect confidentiality when the number of hospitalisation episodes is less than 5, including the use of consequential suppression to prevent back-calculation.


• Data have been suppressed due to concerns about data volatility
  
  
  
  • for crude rates when the denominator is less than 100.
  
  
  • for age-standardised rates when the total number of hospitalisations across all ages is less than 20 or when the denominator of any age-specific rates is less than 30.
  
  
  
  

Notes

• Data were five financial years combined, based on usual residence of the patient – not on location of the hospital.


• Selected chronic conditions and ICD-10-AM codes:
  
  
  
  • Cancer: principal diagnosis, C00-C97, D45-D46, Z08; ICD-10 codes at the 4-character level D471, D473-D475, Z510-Z511, Z541-Z542; ICD-10 codes at the 5-character level Z4000, Z4001.
  
  
  • Chronic kidney disease: principal diagnosis, E102, E112, E132, E142, I150, I151, N391, N392, D593, B520, E853, T824, T861, Z490, Z940, Z992, I12, I13, N11, N12, N14, N15, N16, N18, N19, N00-N08, N25-N28, Q60-Q63.
  
  
  • COPD: principal diagnosis, J40-J44.
  
  
  • Coronary heart disease: principal diagnosis, I20-I25.
  
  
  • Diabetes: principal diagnosis, E10-E11, E13-E14.
  
  
  • Mental health: principal diagnosis, F00-F99 excluding F525, F842, F985-F986, G300-G301, G308-G309, G470-G472, G478-G479, O993, R440-R443, R448, R450-R451, R454, R480, R481-R482, R488, Z004, Z032, Z046, Z093, Z133, Z502-Z503, Z543, Z619, Z631, Z638-Z639, Z658-Z659, Z714-Z715, Z760.
  
  
  
  


• Except for the Australian Capital Territory, data at the SA4 level were aggregated from Statistical Areas Level 2 (SA2s) by truncating the digits of the SA2 codes. For the Australian Capital Territory, the state and SA4 data were identical as they pertained to the same geographic boundary.


• Except for the Australian Capital Territory and Tasmania, data at the IREG level were aggregated from SA2s by using ABS Indigenous population-weighted geographic correspondences. For the Australian Capital Territory and Tasmania, the state and IREG data were identical as they pertained to the same geographic boundaries.


• For the denominator of rates, First Nations population estimates were modelled by the AIHW using ABS population estimates and projections (series B) based on the 2016 Census. Population estimates for non-Indigenous Australians were derived by subtracting First Nations population estimates from the total Australian estimated resident population.


• Age-standardised rates were calculated using five-year age groups up to 75+ and the 2001 Australian standard population.


• Age-standardised rates were presented at the national, state, IREG and SA4 levels when comparing the First Nations and non-Indigenous Australian populations, given the differences in the age structure between the two populations.


• Crude rates were presented at the SA3 level for the First Nations population only.


• Hospitalisations with the care types “newborn with unqualified days only” (7.3), “organ procurement - posthumous” (9) or “hospital boarder” (10) were excluded from the analysis.


• Hospitalisations where Indigenous status was not stated (code 9) were excluded from the analysis.


• Hospitalisations where the first five digits of SA2 codes were 10702 or 12402 were excluded from the analysis.

Measures

• Number of First Nations people by the number of long-term health conditions reported.


• Proportion (%) First Nations people by the number of long-term health conditions reported.


• Number of First Nations people by the number of select long-term health conditions reported.


• Proportion (%) First Nations people by the number of select long-term health conditions reported.

Long-term health condition categories

• one or more long-term health conditions


• without a long-term health condition.

Number long-term health conditions categories:

• None


• One


• Two


• Three or more.

Available by

Sex: males, females, persons.

Data period

2021

Data source

Australian Bureau of Statistics (ABS) Census of Population and Housing (Census) (ABS 2022).

Region types

• Main structure: Australia, states and territories, Statistical Area Level 4 (SA4), Statistical Area Level 3 (SA3).


• Indigenous structure: Indigenous Regions (IREG), Indigenous Areas (IARE), Indigenous Locations (ILOC).


• Non-ABS structures: Local Government Areas (LGA).

Suppression

• Data have been suppressed if the denominator for the percentage was less than 100, due to concerns about the reliability of percentages based on small denominators.


• Data have been suppressed if long-term health condition was not stated for >50% of the relevant population, due to relatively high exposure to potential bias.


• Data have been suppressed if long-term health condition was not stated for 25%–50% of the relevant population, due to relatively high exposure to potential bias.

Notes

• Count of long-term health condition data is derived from responses to the long-term health conditions question: ‘has the person been told by a doctor or nurse that they have any of these long-term health conditions?’.


• This was a new question for the 2021 ABS Census of Population and Housing.


• Data have been randomly adjusted by the ABS to protect confidentiality. No reliance should be placed on small numbers.

Measures

• Number of First Nations people by the long-term health condition.


• Proportion (%) First Nations people reporting long-term health condition.

Long-term health condition categories

• Lung condition


• Cancer


• kidney disease


• stroke


• dementia.

Available by

Age group: 0–14, 15–24, 25–34, 35–44, 45–54, 55–64, 65 and over.

Data period

2021

Data source

Australian Bureau of Statistics (ABS) Census of Population and Housing (Census) (ABS 2022).

Region types

• Main structure: Australia, states and territories, Statistical Area Level 4 (SA4), Statistical Area Level 3 (SA3).


• Indigenous structure: Indigenous Regions (IREG), Indigenous Areas (IARE), Indigenous Locations (ILOC).


• Non-ABS structures: Local Government Areas (LGA).

Suppression

• Data have been suppressed if the denominator for the percentage was less than 100, due to concerns about the reliability of percentages based on small denominators.


• Data have been suppressed if long-term health condition was not stated for >50% of the relevant population, due to relatively high exposure to potential bias.


• Data have been suppressed if long-term health condition was not stated for 25%–50% of the relevant population, due to relatively high exposure to potential bias.

Notes

• Count of long-term health condition data is derived from responses to the long-term health conditions question: ‘has the person been told by a doctor or nurse that they have any of these long-term health conditions?’.


• This was a new question for the 2021 ABS Census of Population and Housing.


• Data have been randomly adjusted by the ABS to protect confidentiality. No reliance should be placed on small numbers.