Notes on the data: Hospital admissions
Same-day admissions for dialysis for kidney disease
Policy context: Same-day admissions for dialysis for kidney disease account for a large proportion of same-day admissions, particularly for Indigenous Australians, who were admitted for dialysis at 12 times the rate for other Australians in 2014-15 .
- Australian Institute of Health and Welfare 2016. Admitted patient care 2014–15: Australian hospital statistics. Health services series no. 68. Cat. no. HSE 172. Canberra: AIHW.
The data presented are of the number of same-day admissions for dialysis for kidney disease, including both haemodialysis and peritoneal dialysis, International Classification of Disease (ICD-10-AM) codes Z49.1 and Z49.2. There are two main types of dialysis: peritoneal, which occurs inside the body and can be performed almost anywhere, usually in the home setting; and haemodialysis, which occurs outside the body and is most often conducted in a hospital or satellite setting. The reason for presenting these data separately from overnight admissions is that they represent many repeat visits by a relatively small number of patients, who may have multiple admissions in a week. Their inclusion with, for example, admissions of males, or of females can dramatically alter the geographic distribution of these other categories of admissions. This is particularly evident in regional and remote areas where dialysis facilities are located, and where those using them may have moved to live to be near the facility.
Confidentiality of data
Counts of less than five admissions have been suppressed.
Data are not available for private dialysis units in Tasmania, the Northern Territory or the Australian Capital Territory, to protect the confidentiality of the small number of private facilities in these jurisdictions. As a result, where data are published for public dialysis units and all dialysis units, the 'all units' data for these jurisdictions have also been confidentialised, as their publication would allow identification of the confidentialised private dialysis units. The 'all units' data in other jurisdictions have also been confidentialised where publication of public and all units data would allow identification of private hospital data confidentialised due to small cell sizes. The decision was made to confidentialise the 'all units' rather than the 'public' figure as admissions to public dialysis units comprise the majority of admissions, both overall and from the most disadvantaged areas.
There is a substantial difference between the Census counts of Aboriginal and Torres Strait Islander Australians and the estimated resident population (ERP), adjusted for net undercount as measured by the Post Enumeration Survey undertaken by the ABS (the ERP is 17.5% higher for Australia than the Census count). Given this difference, and as the ABS has not released Aboriginal ERP by age at the Indigenous Area level used in the Social Health Atlases, PHIDU has produced an estimated resident population at 2016. This is of particular importance for the calculation of rates of hospitalisation, mortality etc.
The ERP for June 2016 for Aboriginal populations is available from the ABS for Statistical Areas Level 2 (SA2, total population only): PHIDU concorded the SA2 populations to produce a 2016 ERP for each IARE (total population only). The ERP for 2016 is available by Indigenous Region (IREG), by 5-year age group. To produce estimated resident populations by age group for each IARE, PHIDU applied the proportional age distribution from the Census counts (usual resident population) in each IARE to the ERP total for the IARE.
Geography: Data available by Indigenous Area, Primary Health Networks, Indigenous Quintiles and Indigenous Remoteness Areas
Numerator: Same-day admissions for dialysis for kidney disease - (Z491 to Z492)
Denominator: Total population (ERP)
Detail of analysis: Indirectly age-standardised rate per 100,000 population; and/or indirectly age-standardised ratio, based on the Australian standard.
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2015/16 to 2017/18; and the 2016 estimated resident population (erp) calculated by PHIDU - see Data Source above.