Hospitalisations by cause, Aboriginality, age and year

Non-Aboriginal, Factors influencing health: other
4734.2 (4718.7, 4749.8)Non-Aboriginal, Factors influencing health: dialysis
3984.3 (3970.5, 3998.2)Non-Aboriginal, Injury & poisoning
4213 (4198.4, 4227.8)Non-Aboriginal, Symptoms, signs & abnormal findings
2236.8 (2226.1, 2247.6)Non-Aboriginal, Maternal, neonatal & congenital causes
2655 (2642.7, 2667.3)Non-Aboriginal, Genitourinary diseases
1624.3 (1615.1, 1633.6)Non-Aboriginal, Musculoskeletal & connective tissue diseases
1597.6 (1588.6, 1606.7)Non-Aboriginal, Skin & subcutaneous tissue diseases
496.9 (491.8, 502.1)Non-Aboriginal, Digestive system diseases
3380.5 (3367.2, 3393.8)Non-Aboriginal, Respiratory diseases
1553.8 (1544.7, 1562.9)Non-Aboriginal, Cardiovascular diseases
1742.3 (1733.1, 1751.5)Non-Aboriginal, Nervous system & sense organ disorders
2207.2 (2196.7, 2217.7)Non-Aboriginal, Mental and behavioural disorders
1478 (1469.1, 1487)Non-Aboriginal, Endocrine diseases
375.5 (371, 379.9)Non-Aboriginal, Blood & immune system diseases
353.7 (349.5, 358)Non-Aboriginal, Other neoplasms
693.1 (687.2, 699)Non-Aboriginal, Malignant neoplasms= cancers
1196.3 (1188.7, 1204)Non-Aboriginal, Certain infectious and parasitic diseases
499.3 (494.1, 504.4)Aboriginal, Factors influencing health: other
2989.4 (2879.5, 3101.6)Aboriginal, Factors influencing health: dialysis
21563.6 (21241.1, 21889.5)Aboriginal, Injury & poisoning
6827.7 (6651.6, 7006.6)Aboriginal, Symptoms, signs & abnormal findings
3992.5 (3858.3, 4129.7)Aboriginal, Maternal, neonatal & congenital causes
3799.5 (3711.7, 3888.8)Aboriginal, Genitourinary diseases
1896.7 (1801.6, 1994.9)Aboriginal, Musculoskeletal & connective tissue diseases
1590.5 (1503.8, 1680.4)Aboriginal, Skin & subcutaneous tissue diseases
875.1 (817.5, 935.2)Aboriginal, Digestive system diseases
3871.6 (3743, 4002.9)Aboriginal, Respiratory diseases
3923.8 (3785.2, 4065.4)Aboriginal, Cardiovascular diseases
3155 (3016.2, 3297.8)Aboriginal, Nervous system & sense organ disorders
2239.2 (2129.8, 2351.8)Aboriginal, Mental and behavioural disorders
2751 (2659.2, 2844.9)Aboriginal, Endocrine diseases
805.8 (746.3, 868.2)Aboriginal, Blood & immune system diseases
483.5 (431.4, 539.4)Aboriginal, Other neoplasms
478.2 (433.4, 525.9)Aboriginal, Malignant neoplasms= cancers
1056.1 (977.3, 1138.8)Aboriginal, Certain infectious and parasitic diseases
859.4 (800.8, 920.4)
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Supporting Text

NSW Admitted Patient Data Collection and ABS population estimates (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of Health.

neon.= neonatal. Hospital separations are classified using ICD-10-AM classification and distributed according to ICD-10-AM chapters. Chapters on diseases of the nervous system, eye and ear and chapters on conditions relating to pregnancy, perinatal period and congenital diseases are combined into one category in the analysis. ICD10-AM chapter Factors influencing health has been divided into two categories: Dialysis and Other factors influencing health in the analysis. To avoid double counting, all hospitalisations for injury or poisoning were extracted first (using external cause codes) and then other causes counted on the basis of principal diagnosis. Consequently, numbers for some non-injury categories may be lower here than when reported alone elsewhere. Only NSW residents are included. Figures are based on where a person resides, not where they are treated. Numbers for the two latest years include an estimate of the small number of hospitalisations of NSW residents in interstate public hospitals, data for which were unavailable at the time of production. LL/UL 95%CI = lower and upper limits of the 95% confidence interval for the point estimate.

In 2011-12, hospitalisations in Aboriginal people accounted for 2.7% of all hospitalisations in NSW and the age-adjusted hospitalisation rates in Aboriginal people (59,941 per 100,000 in males and 67,361 per 100,000 in females) were around 1.8 times the rates in the male and female non-Aboriginal population (34,447 per 100,000 in males and 36,050 per 100,000 in females). 

In the period 1993-94 to 2011-12, hospital separation rate in Aboriginal people increased by 136.5%, compared with around 27% in non-Aboriginal people. The steep increase in hospital separation rates in Aboriginal people partly reflects improvements in the recording of Aboriginality in hospital data over this period. It may also reflect better access to health services.

Select the rows below to view more detail on a method

Methods: Injury and poisoning

Records based on place of residence

Most of the analyses are based on the place of residence of the person, rather than the place they were treated, or, in the case of an injury, the place the injury occurred. It should be noted that the injury that led to a person's hospitalisation might not have occurred in the area in which the person resided. For example, metropolitan residents may be injured in motor vehicle crashes while travelling in regional or remote areas. The location where injury was sustained is not routinely recorded in hospitalisation statistics.

‘External cause’ as the basis for injury count

The International Statistical Classification of Diseases and Related Health Problems (ICD-10) (NCCH 2006) groups injury according to the body region which is affected by injury (head, neck chest etc) and the type of injury (superficial, fracture, amputation etc). Relevant codes are ICD-10: S00 to T98. Another way of categorising injury is by the circumstances of injury or the activity being undertaken when injured (transport accidents, assaults, intentional self-harm etc). This group is covered by ICD-10 codes U50-Y98 called ‘external causes’ (NCCH 2006).

In HSNSW hospitalisations and deaths due to injury are classified by the external cause of injury. This is because this classification is the most important in prevention planning.

Rules for excluding records in analysis of hospitalisation for injury

In HSNSW injury hospitalisation data exclude records ending with transfer or "statistical discharge", in order to reduce multiple counting of hospitalisation episodes relating to the same injury incident.

The analysis of hospitalisation for fall injury exclude records based on the source of referral eg where a patient may be transferred from another hospital.  

Injury in primary diagnosis and external cause of injury

The majority of injury and poisoning hospitalisations have a principal diagnosis of injury and poisoning, but there is also a substantial number of hospitalisations where injury or poisoning is in an additional diagnosis (about 20%-30% of total records with injury and poisoning anywhere on record). ‘Rehabilitation’ is the most common principal diagnosis for these hospitalisations. Some of these hospitalisations are linked to a prior episode of hospitalisation with an injury in principal diagnosis, that has not been counted, due to the methods used to minimise multiple-counting of hospitalisations following one injury event, as explained in 'Rules for excluding records in analysis of hospitalisation for injury'.

Consequently, it is important to note whether an analysis included any hospitalisation records with external cause of injury or only those records that had injury and poisoning as the principal diagnosis.

Injury-related deaths

Injury deaths may be reported following a method which takes account of multiple causes of death (Henley G et al. 2007). The multiple causes of death method includes a death as an injury death if:

• the underlying cause of death was coded to ICD-10 V01–Y36, Y85–Y8, or Y89, or

• there is any cause of death coded to ICD-10 S00–T75 or T79 (AIHW Cat. no. AUS 122 2010) (see above for the categories of codes).

The resulting count is called injury-related deaths and has been adopted in the Australia’s health 2010 report by the AIHW (AIHW Cat. no. AUS 122 2010).

The difference in count depending on the method applied could be as high as 25% in the same year (8,000 injury deaths in Australia in 2005 according to a straightforward method and 10,000 using the multiple causes of death). 

In this report a straightforward method of counting injury death has been used and the resulting count is based solely on the underlying cause of death coded to ICD-10 V01–Y36, Y85–Y8, or Y89 and the corresponding ICD-9 codes.


Australian Institute of Health and Welfare. Australia’s health 2010. Australia’s health series no. 12. Cat. no. AUS 122. Canberra: AIHW, 2010. Available at

Henley G, Kreisfeld R, Harrison J. Injury deaths, Australia 2003-04.. Canberra: 2007. Available at

National Centre for Classification in Health. The International statistical classification of diseases and related health problems, 10th Revision, Australian Modification (ICD-10-AM). Australian Coding Standards. Sydney: NCCH, 2006.


Methods: Hospitalisation

1. Hospital statistics in NSW

All NSW public hospitals, public psychiatric hospitals, public multi-purpose services, private hospitals and private day procedure centres in NSW report data on patients admitted for care to the NSW Ministry of Health. Patient separations from developmental disability institutions and private nursing homes are not included. These reported data, from about 400 different facilities in NSW, are called the NSW Admitted Patient Data Collection (APDC).

The collection also includes data relating to NSW residents hospitalised interstate (see below in Imputation for more details) and in Commonwealth Department of Veterans’ Affairs facilities.

Each reporting facility has its own Patient Administration System (PAS), there are five types of these in NSW: HNMA Millenium (administered by Cerner), WinPAS, iPM (I-Soft), HOSPAS (legacy system being phased out and replaced with other systems) and ISCOS, which is the Inpatient Statistics Collection On-line System used by private hospitals.  Data from the PAS systems are loaded into the Health Information Exchange (HIE) in a standard format. The HIE is the data warehouse for the whole NSW health system maintained by the NSW Ministry of Health which is accessed by authorised staff across the health system and in the NSW Ministry of Health. Data from the HIE are extracted and loaded onto the Secure Analytics for Population Health Research and Intelligence (SAPHaRI) warehouse, administered by the Centre for Epidemiology and Evidence and used for this report.

2. Hospitalisation rate definition

A hospitalisation rate is an estimate of the proportion of a population that was hospitalised during a specified period. It is expressed in this report as the number of hospitalisations per 100,000 population per year (person-years). Age and sex standardisation (also called ‘adjustment’) adjusts for differences in the age and sex structure of populations and is performed to make rates comparable between different sub-populations in the same geographic area; in the same population over time; or between different geographic areas at the same time (for example between different States and Territories or different Local Health Districts). This assists in interpreting variations in patterns of hospitalisations between groups and over time after controlling for factors such as age, which are commonly associated with increased disease rates. 

Hospitalisation rates in this report are standardised to the 2001 Australian standard population. 

3. The Admitted Patient Data Collection and this report

The Admitted Patient Data Collection (APDC) is a census of all inpatients treated in NSW and includes data on NSW residents treated in other states.  The APDC was, up to 2002, known as the Inpatient Statistics Collection. The APDC contains approximately 70 variables and is based on a financial year cycle beginning on 1 July and ending on 30 June of the following year.

The APDC data used in this report are the SAPHaRI (Secure Analytics for Population Health Research and Intelligence) data warehouse, maintained by the Centre for Epidemiology and Evidence. The APDC data is extracted from the Health Information Exchange (HIE) and undergoes a quality assurance and standardisation process before being loaded onto SAPHaRI in a SAS dataset format. 

Further information on the APDC and SAPHaRI is available in this report in Methods tab under The Admitted Patient Data Collection title.

4. Use of selected variables of APDC in this report

4.1 Principal diagnosis and additional diagnoses coded to the ICD-9-CM and ICD-10-AM

Each hospital episode in the APDC is described by a principal diagnosis and additional diagnoses, which are coded using the International Statistical Classification of Diseases and Related Health Problems:  ICD-9-CM (up to June 1998) and ICD-10-AM (from July 1998 onwards). Please refer to a separate Methods section on Principal and additional diagnoses for a detailed discussion (this section accompanies selected indicators that include principal and additional diagnoses, for example diabetes hospitalisations).

In this report the count of hospitalisations for a condition is based mainly on principal diagnosis. If an indicator contains analysis of data in additional diagnosis fields as well ('comorbidities'), this is clearly stated in the title of an indicator and in the Notes. The Notes specify how many additional diagnosis fields were included in the analysis. Another exception is the topic of injury and poisoning where the count is based on ‘external cause of injury’. See Methods for injury and poisoning indicators.

The number of additional diagnoses that are included in the hospital records is restricted to conditions which fulfil several requirements, including direct relevance to the treatment and management of the principal diagnosis. This ensures that only the most resource intensive or clinically relevant conditions are listed for that hospitalisation rather than all comorbidities that a patient may have. Data on additional hospital diagnoses cannot therefore be used to estimate the prevalence of a condition in the community.

4.2 Procedures coded to Australian Classification of Health Interventions

Procedures performed in Australian hospitals are coded in medical records using the Australian Classification of Health Interventions (ACHI) published by the National Centre for Classification in Health.  This classification is based on the Commonwealth Medicare Benefit Schedule and relates to anatomy rather than surgical specialty.

Up to 30 June 1998, the ICD-9-CM Procedure Classification was used in Australia. This was based on WHO Surgical procedures (edition 5) and was not revised and carried beyond 1998 by the WHO due to the rapid advancements in the field of procedures  (National Coding Centre 1996).

On 1 July 1998, both the ACHI and the ICD-10-AM were introduced in NSW. They are revised every two years.  The ICD-10 is the WHO classification but the AM suffix stands for Australian Modification, which adds detail necessary to describe practice in Australian hospitals. The ICD-10-AM is fully compatible with ICD-10 (NCCH 2006).

Up to the fourth edition of ICD-10-AM in 2004, the ACHI was published as a part of the ICD manuals (volume 3 and 4), from the fifth edition in 2006 the titles of the ACHI publication emphasise that this is a classification independent from the ICD.

Both ICD-9-CM Procedure Classification (up to and including 1997-98) and Australian Classification of Health Interventions (from 1998-99 onwards) are used in this report.

4.3 Episode of care based count of hospitalisations

The count of hospitalisations in this report is based on an episode of care from 1 July 1998 (ISC EOC datasets on SAPHaRI). A patient can have several episodes of care during one hospital stay, that is, between the formal admission and the formal discharge (separation) from hospital.    

The episode of care is defined by a service category. An episode of care starts when the hospital stay starts or when the service category changes. There are ten service categories: acute care, rehabilitation care, palliative care, maintenance care, newborn care, other care, geriatric evaluation and management, psychogeriatric care, organ procurement-posthumous and hospital boarder. 

A new episode of care starts also when a patient is on leave from hospital: more than 4 days away in any hospital and more than 10 days away in psychiatric hospitals.

4.4 Overnight and day-only hospital stays are included

Both overnight and day-only hospitalisations are included in this report, unlike in the national reporting on hospital statistics (AIHW Health services series no. 40. Cat. no. HSE 107 2011), where day-only hospitalisations are not included.

The only exceptions are the count and rate of hospitalisation for falls in elderly (persons aged 65 years and over) in NSW, where day-only hospitalisations are excluded from the key indicator reports in NSW. NSW performance reporting of hospitalisations for falls in elderly in NSW includes overnight (and longer) hospitalisations. However, in this report, an analysis of day-only hospitalisations and the total of overnight and day-only hospitalisations are also included in the relevant indicator for comparison and completeness.

4.5 Full census of hospitalisations from 1993-94 and sampling factor prior to 1993-94

In 1993-94 the APDC (then known as the Inpatient Statistics Collection) was a fully enumerated survey (that is a census) for the first time. Datasets containing financial years earlier than 1993-94 are based on estimates from a sample of all inpatient data in some hospitals, partiularly in rural areas, and their use in analysis requires the inclusion of a sampling factor weighting variable. 

4.6 Separation date determines the year of hospitalisation

The main record file of the hospital stay for a patient is created or completed on separation from hospital when all relevant documentation is made available to hospital medical record departments. Consequently, the main reason for hospitalisation (principal diagnosis) completed at separation, may be different from the admitting diagnosis. The hospitalisation is counted in the year when the separation took place even if the hospitalisation period occurred predominantly in the previous financial year. For example a patient discharged on 1 July after a 4 week hospital stay would be counted as hospitalised in the new financial year.

4.7 Imputation of interstate hospitalisations in the last year of data

At the time when the NSW Ministry of Health completes the Admitted Patient Data Collection for the previous financial year, data on hospitalisations of NSW residents in other states are usually not available and so interstate hospitalisations for the latest year is always ‘imputed’ from the previous three years in this report. This imputation process estimates the number of hospitalisations occurring in other states for each diagnosis in previous years and adds these numbers to the latest year of data. When the actual data become available, the number and rates for the affected year are re-calculated. 

4.8 Summary of major changes in the hospital data on SAPHaRI

1988-89:           Hospital data included from the Inpatients Statistics Collection (ISC) counted on the basis of a "period of stay" in hospital (ie multiple episodes of care).  ICD-9-CM used and sampling from some hospitals (requiring a sampling factor for weighting numbers in these hospitals). 

1993-94:             Admitted Patient Data Collection (APDC) is a fully enumerated census of hospitalisations.

1998-99 onwards:             APDC starts to be counted as episodes of care. ICD-10-AM replaces ICD-9-CM; and Australian Classification of Health Interventions replaces ICD-9-CM Procedure Classification. 

Imputation for interstate hospitalisations: The latest year of data (number and rates) are ‘imputed’ for missing interstate hospitalisations for NSW residents. The actual number of interstate hospitalisations is included when available. 

5. Differences between figures published by the AIHW and the NSW Ministry of Health and other institutions

5.1 Differences in publication schedules

The APDC dataset is continuously updated because it is not uncommon to receive additional records or additional information on records already supplied well after the close of a financial year. Consequently data on hospitalisations in NSW from different sources, such as this report and the AIHW report, will always differ slightly due to different publication schedules.

5.2 Imputation of interstate hospitalisations in the latest year of data

In this report imputation methods are used to estimate the number of hospitalisations of NSW residents occurring elsewhere in Australia in the latest year due to a lag in receiving this information (see above). Over some periods of time two last years of data need to be imputed. Refer to Notes in the indicator for confirmation how many years are imputed at the time. Estimates may vary slightly from the estimates in other releases of this report or other reports because of the imputation. The actual number of interstate hospitalisations is included when relevant. 

5.3 Definition of hospitalisation

Both overnight and day-only hospitalisations are included in this report, unlike in the national reporting on hospital statistics, where only overnight hospitalisations are included (AIHW Health services series no. 40. Cat. no. HSE 107 2011).

5.4 Different projected populations

For the calculation of rates, the NSW Ministry of Health uses population projections based on the NSW Health Population Projection Series, prepared by the Statewide Services Development Branch of the NSW Ministry of Health in collaboration with the NSW Department of Planning. Refer to Methods in Population-Demography topic for further information on projected populations and other issues mentioned here. The rates in this report are expressed as a number per 100,000 population.

Rates published by the Australian Institute of Health and Welfare may be expressed differently (per 1,000 or 10,000 population) and use different projected population estimates for NSW. The population estimates, which are not projected, are likely to be the same, as these are based on the estimated residential populations published by the ABS.

6. Other datasets holding data on activity in hospitals

The APDC datasets contain information on inpatient hospital activity. Emergency department data and Outpatient activity data are also available to report on hospital activity.

7. References

Australian Institute of Health and Welfare. Australian hospital statistics 2009–10. Health services series no. 40. Cat. no. HSE 107. Canberra: AIHW, 2011. Available at (Cited on April 2011).

National Centre for Classification in Health. The International statistical classification of diseases and related health problems, 10th Revision, Australian Modification (ICD-10-AM). Australian Coding Standards. Sydney: NCCH, 2006.

National Coding Centre. The Australian version of the International Classification of Diseases, 9th revision, clinical modification (ICD-9-CM). Sydney: University of Sydney, 1996.


Select the rows below to view more detail on a code

Codes: Hospitalisation by category

The International Statistical Classification of Diseases and Related Health Problems

National Centre for Classification in Health, Australia; CM - Clinical Modification; AM - Australian Modification

DescriptionICD-9 & ICD-9-CMICD-10 & ICD-10-AMComments
Blood and immune diseases Not used in this report D50-D89 All records are included, NSW residents only, all ages.
Cardiovascular diseases Not used in this report I00-I99 All records are included, NSW residents only, all ages.
Dialysis Not used in this report Z49 All records are included, NSW residents only, all ages.
Digestive system diseases Not used in this report K00-K93 All records are included, NSW residents only, all ages.
Endocrine diseases Not used in this report E00-E89 All records are included, NSW residents only, all ages.
Genitourinary diseases Not used in this report N00-N99 All records are included, NSW residents only, all ages.
Infectious diseases Not used in this report A00-B99 All records are included, NSW residents only, all ages.
Injury and poisoning (all external cause codes) Not used in this report S00-T98, U50-U73, V01-Y89 All records are included, NSW residents only, all ages.
Maternal, neonatal and congenital causes Not used in this report O00-Q99 All records are included, NSW residents only, all ages.
Mental disorders Not used in this report F00-F99 All records are included, NSW residents only, all ages.
Musculoskeletal diseases Not used in this report M00-M99 All records are included, NSW residents only, all ages.
Neoplasms - malignant Not used in this report C00-C99 All records are included, NSW residents only, all ages.
Neoplasms - other than malignant Not used in this report D00-D48 All records are included, NSW residents only, all ages.
Nervous and sense disorders Not used in this report G00-H95 All records are included, NSW residents only, all ages.
Other factors influencing health Not used in this report Z00-Z48, Z50-Z99 All records are included, NSW residents only, all ages.
Respiratory diseases 460-519 J00-J99 All records are included, NSW residents only, all ages.
Skin diseases Not used in this report L00-L99 All records are included, NSW residents only, all ages.
Symptoms and abnormal findings Not used in this report R00-R99, U00-U49 All records are included, NSW residents only, all ages.


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Hospitalisations by category of cause

Number, rate and proportion by category of cause, sex, age, Local Health District, Medicare Local, remoteness from service centres and year.
Key points: Aboriginal peoples

• In 2011, around 172,624 Aboriginal people lived in NSW making up around 2.5% of the total population and 31.5% of the total Australian Aboriginal population, according to 2011 Census results. 

• The relative socioeconomic disadvantage experienced by Aboriginal people in NSW continues to place them at a greater risk of exposure to behavioural and environmental health risk factors. 

• The Aboriginal population is younger, with 37% of the population under 15 years of age, compared with 19%of the non-Aboriginal population. The proportion of the Aboriginal population over the age of 65 years is just over 3.5% compared with just over 14% of the non-Aboriginal population. 

• Life expectancy at birth is calculated to be nearly 70 years in Aboriginal males and 75 years in Aboriginal females in NSW.  These calculations estimate life expectancy as 8.8 and 7.5 years shorter than in non-Aboriginal males and females, respectively.

• Aboriginal people are more likely to die at younger ages. People aged less than 25 years make up around 10% of deaths of Aboriginal people, compared with 2% of deaths among non-Aboriginal people. 

• The infant mortality rate among babies identified as Aboriginal on the death registration form was 3.8 per 1,000 live births in years 2010 to 2012. The infant mortality rate among non-Aboriginal babies was 3.5 per 1,000 live births. 

• Non-communicable diseases explain 70% of the health disparity between Aboriginal and non-Aboriginal people in NSW. The main risk factors contributing to the health gap are:

Tobacco (17%)

High body mass (16%)

Physical Inactivity (12%)

High blood cholesterol (7%)

Alcohol (4%).

• Cardiovascular disease and cancer are the leading causes of death in both Aboriginal and non-Aboriginal people.

• Aboriginal people are admitted to hospital at about 1.7 times the rate of non-Aboriginal people. Renal dialysis accounts for the largest number of hospitalisations in Aboriginal people. 

• Compared with rates in non-Aboriginal people, hospitalisation rates in Aboriginal people in NSW are (around):

150% higher for conditions for which hospitalisation can be avoided through prevention and early management

170% higher for diabetes

60% higher for cardiovascular diseases

250% higher for chronic respiratory diseases

50% higher for injury and poisoning

200% higher for alcohol-related conditions.

• Reported rates of current smoking in Aboriginal adults are around double those for the general population across all age groups; while reported rates of risk drinking are around 1.4 times the general population rates across all age groups.

Introduction: Aboriginal peoples


In 2011, Aboriginal and Torres Strait Islander people comprised 2.5% of the total NSW population. The NSW Aboriginal population is 94.4% Aboriginal only, 3.4% Torres Strait Islander only, and 2.2% both Aboriginal and Torres Strait Islander. In this report all these people are referred to as Aboriginal in recognition of the fact that Aboriginal people are the original inhabitants of NSW.

The Aboriginal population in Australia grew by 13% in the period between the 2001 and 2006 Censuses. Much of this intercensal increase is a 'natural' increase which can be explained by demographic factors (births and deaths). Non-demographic factors, such as improvements in Census collection methods and people identified as Aboriginal for the first time in the Census, also contribute to the growth.

Burden of disease and social and economic disadvantage among Aboriginal people

There are many and complex reasons for the health disparities between Aboriginal and non-Aboriginal people including:

•  socio-economic factors such as low incomes,  high unemployment, low educational levels, and poor nutrition

• environmental factors such as poor living environments, substandard and overcrowded housing, poor sewerage and water quality and access to affordable healthy food

• social and political factors including removal from land, separation from families, dislocation of communities, culturally inappropriate services, and poor cross cultural communication

• lack of access to primary health care and

• specific health risk factors such as poor nutrition, hazardous alcohol use, high tobacco use and low physical activity.


Interventions: Aboriginal peoples

NSW Health is committed to working in partnership with Aboriginal people and other government agencies to improve the health and wellbeing of Aboriginal people.    This means that Aboriginal people must be involved in the process of identifying and deciding on their health priorities and participate in the planning and delivery of their health services.

The National Partnership Agreement - Indigenous Health

In 2008, the Council of Australian Governments (COAG) committed to closing the gap between Aboriginal and non-Aboriginal people’s health outcomes.  The National Partnership Agreement-Indigenous Health commits NSW to closing the gap in life expectancy within a generation and to halving the gap in mortality rates for Indigenous children within a decade. These health improvements will be achieved by making Aboriginal health everybody’s business and by providing specific Aboriginal health initiatives.

The National Partnership Agreement – Indigenous Health commits the NSW and Commonwealth Governments to spending $180 million over 4 years on new Aboriginal specific health initiatives aimed at:

• reducing smoking and injuries in the Aboriginal population

• preventing and better managing chronic diseases for Aboriginal people

• improving Aboriginal oral health and adolescent health

• boosting the Aboriginal workforce and improving the cultural competence of the health workforce and

• improving the quality of Aboriginal health data. 

The Agreement also provides additional funds to strengthen existing Aboriginal health programs such as Housing for Health and the Aboriginal Maternal and Infant Health Strategy.

These new and enhanced Aboriginal health initiatives build on existing Aboriginal health specific initiatives including:

• The Chronic Care for Aboriginal People program which focuses on an integrated approach to diabetes, heart disease, stroke, hypertension and kidney disease because of the shared risk conditions and common approaches needed to prevent and manage these conditions in Aboriginal communities.

• The NSW Aboriginal Mental Health and Well Being Policy 2006-2010 which guides the provision of culturally sensitive and appropriate mental health and social and emotional well being services to the Aboriginal community (NSW Department of Health, 2007).

• Implementation of SmokeCheck a project which increases the capacity of Aboriginal health workers to support Aboriginal people to quit smoking.

• Funding for Aboriginal Medical Services (AMSs) which provide primary health care services which are initiated and operated by the local Aboriginal community and deliver holistic, comprehensive, and culturally appropriate health care.

These initiatives are further supported by Two Ways Together, the NSW Aboriginal Affairs Plan 2003- 2012, which adopts a whole-of-government approach to improve the lives of Aboriginal people.


For more information: Aboriginal peoples

Useful websites include:

Aboriginal Affairs NSW at

Australian Bureau of Statistics at

Australian Institute of Health and Welfare at

HealthInsite at

Key points: Hospitalisation

• Hospital separations have increased by more than 47% over the last twenty years but less than 14% over the last 10 years.

• Hospitalisation rates are consistently higher in females, but the gap is narrowing. In 2012-13 the most common causes of hospital separations were: factors influencing health: other than dialysis, factors influencing health: dialysis, injury and poisoning, digestive system diseases and maternal conditions.

Introduction: Hospitalisation


The term 'hospitalisation' refers to a period of time during which a person stayed in a hospital for a defined purpose, which could be diagnostic, curative or palliative. A hospital stay starts with a formal process of admission and ends with a formal separation. 

Hospitalisations are described in hospital statistics, which measure hospital activity. The number of patients in a period of time, number of beds, types of beds (for acute or chronic cases etc) and bed occupancy levels are measured among other variables. These statistics are compared to staffing levels, available funds and population size and are used to monitor the distribution and utilisation of hospital services. Hospitalisations can also be analysed by a patient's demographic and clinical characteristics such as their age and their clincial diagnosis.

In this report hospitalisations are analysed on the basis of separations ie the date the person completed that hospital episode, rather than the date that person was admitted into that hospital episode. The reason for this is that the coding of a patient's clinical diagnosis during a hospitalisation is done after separating from that hospital. This diagnosis may be different from the reason the person was admitted. Expert medical coders decide on the principal and associated diagnoses after separation based on the whole medical records of the patient.        


Interventions: Hospitalisation

Interventions aiming to reduce hospitalisation rates are embedded in strategies dealing with specific health issues or specific disadvantaged populations.

These strategies focus on reduction of prevalence of conditions in the community (prevention of conditions arising in the first place) or on reduction of hospitalisations for these conditions via two different methods. One method focuses on preventing worsening of conditions and managing these conditions via primary care system and thus preventing admission to hospital. The topic of Potentially Preventable Hospitalisations (Ambulatory Care Sensitive Conditions) contains a discussion of details concerning these conditions. The NSW Chronic Care Program covers many such conditions requiring hospitalisation.

The other approach reduces the burden of hospitalisations on the health system by reducing the number of beds required at any point in time. It is based on the concept of Out-of-Hospital Care, which includes Hospital Care at Home. NSW Department of Health delivers an increasing type and number of services in out of hospital environment (NSW Department of Health 2011).


NSW Department of Health. Out-of-Hospital Care. NSW DoH. Cited on July 19, 2011. Available at

For more information: Hospitalisation

Useful websites include:

NSW Department of Health. Hospitals. NSW Department of Health. Cited on July 19, 2011. Available at

NSW Department of Health. Out-of-Hospital Care. NSW Departement of Health. Cited on July 19, 2011. Available at

NSW Department of Health. NSW Health Services Comparison Data Book 2008-09. NSW Department of Health. Cited on August 10, 2011. Available at

Bureau of Health Information at

Australian Bureau of Statistics at

Australian Institute of Health and Welfare at

HealthInsite at