Hospitalisations for all causes by Aboriginality, trend

Males, Aboriginal, 2010-11
55939.7Males, Aboriginal, 2009-10
53911.6Males, Aboriginal, 2008-09
56304.5Males, Aboriginal, 2007-08
53908.5Males, Aboriginal, 2006-07
52743.8Males, Aboriginal, 2005-06
48620.5Males, Aboriginal, 2004-05
44747.2Males, Aboriginal, 2003-04
41756.2Males, Aboriginal, 2002-03
39107.5Males, Aboriginal, 2001-02
36810.1Males, Aboriginal, 2000-01
33953.2Males, Aboriginal, 1999-00
37603.4Males, Aboriginal, 1998-99
30510.5Males, Aboriginal, 1997-98
33425.8Males, Aboriginal, 1996-97
27647.4Males, Aboriginal, 1995-96
27517.8Males, Aboriginal, 1994-95
23167.2Males, Aboriginal, 1993-94
24397.5Males, Non-Aboriginal, 2010-11
33568Males, Non-Aboriginal, 2009-10
33271.4Males, Non-Aboriginal, 2008-09
32581.5Males, Non-Aboriginal, 2007-08
32268.6Males, Non-Aboriginal, 2006-07
32264.6Males, Non-Aboriginal, 2005-06
31597.6Males, Non-Aboriginal, 2004-05
30560Males, Non-Aboriginal, 2003-04
30245.8Males, Non-Aboriginal, 2002-03
29912.8Males, Non-Aboriginal, 2001-02
29451.2Males, Non-Aboriginal, 2000-01
28923.4Males, Non-Aboriginal, 1999-00
28961.2Males, Non-Aboriginal, 1998-99
29050.9Males, Non-Aboriginal, 1997-98
28946.9Males, Non-Aboriginal, 1996-97
28111.3Males, Non-Aboriginal, 1995-96
27955.7Males, Non-Aboriginal, 1994-95
27105.8Males, Non-Aboriginal, 1993-94
26384Females, Aboriginal, 2010-11
59768.6Females, Aboriginal, 2009-10
56819.8Females, Aboriginal, 2008-09
54739.4Females, Aboriginal, 2007-08
51924.7Females, Aboriginal, 2006-07
50678.9Females, Aboriginal, 2005-06
50449.2Females, Aboriginal, 2004-05
45580.2Females, Aboriginal, 2003-04
45444.1Females, Aboriginal, 2002-03
44243.1Females, Aboriginal, 2001-02
41540.7Females, Aboriginal, 2000-01
39321.7Females, Aboriginal, 1999-00
42456.4Females, Aboriginal, 1998-99
37523.2Females, Aboriginal, 1997-98
39178.7Females, Aboriginal, 1996-97
32999.3Females, Aboriginal, 1995-96
33068Females, Aboriginal, 1994-95
28351.7Females, Aboriginal, 1993-94
29459.7Females, Non-Aboriginal, 2010-11
34974.2Females, Non-Aboriginal, 2009-10
34723.7Females, Non-Aboriginal, 2008-09
33984Females, Non-Aboriginal, 2007-08
33684.6Females, Non-Aboriginal, 2006-07
33430.3Females, Non-Aboriginal, 2005-06
32729.5Females, Non-Aboriginal, 2004-05
31750.9Females, Non-Aboriginal, 2003-04
31624.6Females, Non-Aboriginal, 2002-03
31486.3Females, Non-Aboriginal, 2001-02
31247.5Females, Non-Aboriginal, 2000-01
30986.7Females, Non-Aboriginal, 1999-00
30818.8Females, Non-Aboriginal, 1998-99
31430.5Females, Non-Aboriginal, 1997-98
31329.5Females, Non-Aboriginal, 1996-97
30629.8Females, Non-Aboriginal, 1995-96
30545.6Females, Non-Aboriginal, 1994-95
29971Females, Non-Aboriginal, 1993-94
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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.

Only NSW residents are included. Figures are based on where a person resides, not where they are treated. Hospital separations were classified using ICD-9-CM up to 1997-98 and ICD-10-AM from 1998-99 onwards. Rates were age-adjusted using the Australian population as at 30 June 2001. 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.

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: Aboriginal peoples

Recording of Aboriginality in data collections

Estimating the size and composition of the Aboriginal population is difficult for a range of reasons, in particular the incomplete and differential recording of Aboriginality in administrative data collections. The Aboriginality is generally under-reported in administrative data collections for reasons such as staff reluctance to ask about Aboriginality and Aboriginal people’s reluctance to identify as Aboriginal in some circumstances. Recording and reporting is usually better in rural and remote regions than in major cities.

Recording of Aboriginality in the Admitted Patient Data Collection

The quality of recording of Aboriginality in health administrative datasets in NSW varies and may affect the reported hospitalisation rates. The estimated level of enumeration of Aboriginal people in hospital data (Admitted Patient Data Collection) in NSW was 80% in 2011-12 (AHIW 2013).

Differences in population composition

The Aboriginal population is relatively young, with a median age of 21 years, compared with 36 years for the non-Aboriginal population. As age is closely related to health, care should be taken when comparing information for these two populations, except where rates have been age-standardised.

Standardisation by age allows comparing rates of disease in Aboriginal and non-Aboriginal populations. Comparisons are often limited, however, by very low numbers of Aboriginal persons in age groups of 55 years and older.

For example, in NSW in 2008 the proportion of Aboriginal young persons aged below 20 years was 47.6% while persons aged 55 years and older were 9.0% (estimated as 14,064 persons) of the total Aboriginal population. The corresponding proportions in non-Aboriginal population in NSW in 2008 were 25.3% and 34.3% (estimated as 1,733,605 persons). In NSW in 2008, there were estimated 1,613 Aboriginal persons and 458,987 non-Aboriginal persons aged 75 years and older.

These differences in age distribution result in a situation where chronic diseases of the old age may be relatively underrepresented in the Aboriginal older population and cases of rarer diseases may even be absent, leading to falsely favourable results in Aboriginal people when compared with non-Aboriginal people. 

To ensure a substantial number of older people in the Aboriginal population for comparison, the older age groups in both Aboriginal and non-Aboriginal populations are often amalgamated from age 55 years.  In this report, amalgamation from age 75 years is used for indicators that compare the Aboriginal and non-Aboriginal population data, while amalgamation from age 85 years is used for indicators that involve comparisons of the total population.  

Amalgamating older ages allows results in Aboriginal and non-Aboriginal populations to be compared, however it is not suitable for analysis of a disease distribution in the total population, because information concerning older ages from 55 to 85 years and over is lost.


Australian Institute of Health and Welfare. Indigenous identification in hospital separations data - Quality report. Cat no IHW 90. Canberra: AIHW, 2013.

Australian Bureau of Statistics. Experimental estimates and projections, Aboriginal and Torres Strait Islander Australians 1991-2021. Cat no 3238.0. Canberra: ABS, 2009. Available at

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. 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.

3. Use of selected variables of APDC in this report

3.1 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.

3.2 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 Benefits 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.

3.3 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.

3.4 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.

3.5 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. 

3.6 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.

3.7 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. 

3.8 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. 

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

4.1 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.

4.2 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. 

4.3 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).

4.4 Different projected populations

For the calculation of rates, the NSW Ministry of Health uses population projections based on the population projections  prepared by 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.

5. 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.

6. 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.


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Codes: Hospitalisation, all

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
Hospital separations 001-999 A00-Z99 All records are included, NSW residents only, all ages.


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Related Indicators

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Hospitalisations by category of cause and Aboriginality

Number and rate by Aboriginality, Local Health District, Medicare Local, remoteness from service centres and year.

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 38% over the 20 years between 1992-93 and 2012-13 and by 17% over the 10 years between 2002-03 and 2012-13.

• 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 clinical diagnosis.

Sources of data in NSW

Sources of data on hospitalisations in NSW include the Admitted Patient Data Collection (APDC) and NSW Population Health Survey.  

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 Ministry of Health delivers an increasing type and number of services in out of hospital environment (NSW Ministry of Health 2012).


NSW Ministry of Health. Hospital in the home. Sydney: NSW MoH, 2012. Viewed 13 June 2014.

For more information: Hospitalisation

Useful websites include:

NSW Ministry of Health. Hospitals/Health services website Viewed 13 June 2014

NSW Ministry of Health. Hospital in the home. Sydney: NSW MoH, 2012. Viewed 13 June 2014.

Bureau of Health Information at

Australian Bureau of Statistics at

Australian Institute of Health and Welfare at

HealthInsite at