Version 1.9.1f
Health Statistics New South Wales

Alcohol attributable hospitalisations

Males, 2009-10
791.4Males, 2008-09
805.2Males, 2007-08
808.3Males, 2006-07
823.2Males, 2005-06
772.5Males, 2004-05
722.4Males, 2003-04
703.9Males, 2002-03
688Males, 2001-02
686.5Males, 2000-01
659.5Males, 1999-00
650.8Males, 1998-99
644.1Females, 2009-10
512.5Females, 2008-09
504.6Females, 2007-08
493.7Females, 2006-07
490.7Females, 2005-06
446.2Females, 2004-05
413Females, 2003-04
414.3Females, 2002-03
395.7Females, 2001-02
399.2Females, 2000-01
360.6Females, 1999-00
339.2Females, 1998-99
337.9
 
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Supporting Text
Sources
Notes

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

Excludes conditions where low to moderate alcohol consumption has an apparent overall protective effect. Hospital separations were classified using ICD-10-AM. 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 interstate hospitalisations of NSW residents, data for which were unavailable at the time of production. Calculated using age and sex-specific aetiological fractions from the School of Population Health, University of Queensland and AIHW, 2007.

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Deaths and hospitalisations attributable to health risks

Estimates of the numbers and rates of deaths and hospitalisations attributable to the use of tobacco, alcohol, to high body mass and other risk factors used age and sex-specific aetiologic fractions developed by the School of Population Health, University of Queensland and the Australian Institute of Health and Welfare and published in 2007 (Begg et al. 2007).

The contribution of 14 health risks to the total burden of disease was assessed by the School of Population Health, using methods developed by the WHO Comparative Risk Assessment project (Ezzati et al. 2004). Earlier work by English and colleagues (English et al. 1995) was also used with reference to risks from the use of drugs and alcohol by the researchers from the School of Population Health. The main elements of the methodology are the prevalence of exposure to a health risk in a population and information on the risk of disease, injury or death from this exposure, which is derived from meta-analysis of published scientific literature. Calculations result in estimates of the proportions of cases of specific diseases and injuries that could be attributed to each risk factor.

For this report, electronic files of the aetiologic fractions developed by Begg and colleagues were obtained directly from the School of Population Health, University of Queensland by the Centre for Epidemiology and Research. The disease and injury groupings used in these files were defined using coding developed for the Burden of disease study (BOD), but a mapping to ICD-10-AM codes was also provided.

There are two steps in applying the aetiologic fractions to a death or hospitalisation dataset:

(a) ill-defined categories (e.g. ICD-10-AM: heart failure, unspecified diabetes mellitus and injuries with unspecified intent) are redistributed into specific BOD categories based on other information in the record and/or on a pro rata basis;

(b) the aetiologic fractions are applied to categorised records.

 

References

Begg S, Vos T, Barker B. The burden of disease and injury in Australia, 2003. Cat. no. PHE 82 edition. Canberra: AIHW, 2007. Available at http://www.aihw.gov.au/publications/index.cfm/title/10317

English DR, Holman CDJ, Milne MG. The quantification of drug caused morbidity and mortality in Australia. Canberra: Commonwealth Department of Human Services and Health, 1995.

Ezzati M, Lopez AD, Rodgers A, Murray CJL (eds). Comparative quantification of health risks: Global and regional burden of disease attributable to selected major risk factors. Geneva: World Health Organization, 2004. Available at http://www.who.int/healthinfo/global_burden_disease/cra/en/

 


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, 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 alos extracted and loaded onto the Health Outcomes Information and Statistical Toolkit (HOIST) warehouse, administered by the Centre for Epidemiology and Research 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, called 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 HOIST (Health Outcomes Information and Statistical Toolkit) data warehouse, maintained by the Centre for Epidemiology and Research. The APDC data is extracted from the Health Information Exchange (HIE) and undergoes a quality assurance and standardisation process before being loaded onto HOIST in a SAS datset format. 

Further infromation on the APDC and HOIST 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 (except for 'comorbidities', which are based on additional diagnoses; and injury and poisoning which are based on ‘external cause of injury’. See Methods for injury and poisoning indicators). If an indicator contains analysis of data in additional diagnosis fields as well, 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.

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 clincially 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 refers 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 HOIST). 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).

The only exception are the count and rate of hospitalisation for falls in elderly (persons aged 65 years and over) in NSW, where the day-only hospitalisations are excluded from the key indicator reports in NSW. The data reported as the count and rate of hospitalisation for falls in elderly in NSW include only overnight (and longer) hospitalisations in all NSW performance reporting. 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 called 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 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 latest year are re-calculated. 

4.8 Summary of major changes in the hospital data on HOIST

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 for NSW residents occurring elsewhere in Australia in the latest year due to a lag in receiving this information (see above). In some editions of the report two last years of data had to be imputed. Refer to Notes in the indicator for confirmation. Estimates may vary slightly from the actual numbers in other editions of this report or other reports for this reason. The actual number of interstate hospitalisations is included when available. 

5.3 Definition of hospitalisation

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).

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. The data from Emergency departments have been used in this report and the dataset is discussed separately (see topic Emergency departments). Other datasets have not been used in this report yet.

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 http://www.aihw.gov.au/publication-detail/?id=10737418863 (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: Aetiologic fractions

The disease and injury groupings used in the analysis of aetiologic fractions were defined using coding developed for the Burden of disease study (BOD) with a mapping to ICD-10-AM codes (Begg et al. 2007). These resources were provided by the School of Population Health, University of Queensland directly to the Centre for Epidemiology and Research.

Refer to the Methods tab for more information on aetiologic fractions methodology.

References

Begg S, Vos T, Barker B. The burden of disease and injury in Australia, 2003. Cat. no. PHE 82 edition. Canberra: AIHW, 2007. Available at http://www.aihw.gov.au/publications/index.cfm/title/10317


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Related Indicators

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Consumes more than 2 standard drinks on a day when drinking alcohol

Proportion of adults who consume more than 2 standard drinks by age and sex including trends, local health districts, remoteness from service centres, and socioeconomic status
 
Key points: Alcohol

•  Alcohol causes more than 1,220 deaths and just under 48,000 hospitalisations in NSW each year.

•  Almost one third of adults (29.9%) reported risk drinking behaviour of drinking two or more standard drinks on any day (40.2% of males and 19.9% of females) in NSW in 2010.


Introduction: Alcohol

Alcohol as a health risk factor

Long term adverse effects of high consumption of alcohol on health include contribution to cardiovascular disease, some cancers, nutrition-related conditions, risks to unborn babies, cirrhosis of the liver, mental health conditions, tolerance and dependence, long term cognitive impairment, and self- harm (National Health and Medical Research Council 2009).

Some research suggests that at low levels of consumption, alcohol may reduce the risk of some cardiovascular and cerebrovascular disorders, while other research suggests that there may be no protective effect from drinking (National Health and Medical Research Council 2009).

Harm from alcohol-related accident or injury is experienced disproportionately by younger people; over half of all serious alcohol-related road injuries occur among 15–24-year-olds. However, harm from alcohol-related disease is more marked among older people (National Health and Medical Research Council 2009).

Burden of disease due to alcohol in Australia and NSW

In Australia, alcohol is second only to tobacco as a preventable cause of drug-related death and hospitalisation (National Health and Medical Research Council 2009). The burden of disease associated with alcohol in 2003, was over 5 times higher in males (3.8%) than in females (0.7%), with the greatest burden in males occurring in those aged 0-44 years (7.8% of the total disease burden in this age group) (Begg et al. 2007). The total social costs of alcohol consumption in Australia were estimated to be $15.3 billion in 2004-05 with tangible costs (including lost productivity, healthcare costs, road accident-related costs and crime-related costs) of $10.8 billion (Collins DJ et al. 2008).

References

Begg S, Vos T, Barker B. The burden of disease and injury in Australia, 2003. Cat. no. PHE 82 edition. Canberra: AIHW, 2007. Available at http://www.aihw.gov.au/publications/index.cfm/title/10317

Collins DJ, Lapsley HM. The cost of tobacco, alcohol and illicit drug abuse to Australian society in 2004-05. National Drug Strategy Monograph Series no. 64. Canberra: Department of Health and Ageing, 2008. Available at http://www.nationaldrugstrategy.gov.au/internet/drugstrategy/publishing.nsf/Content/mono64

National Health and Medical Research Council. Australian guidelines to reduce health risks from drinking alcohol. Canberra: NHMRC, 2009. Available at http://www.nhmrc.gov.au/_files_nhmrc/file/publications/synopses/ds10-alcohol.pdf


Interventions: Alcohol

The NSW Health Drug and Alcohol Plan 2006 - 2010 outlines the NSW Government's commitment to reduce the problems caused by drug and alcohol use. The plan details priority areas that have been identified for future action, including: prevention; brief and early intervention; and treatment and extended care (NSW Department of Health D&A Plan 2007). A statewide Controlled Drinking by Correspondence Program has been established to provide clinical advice and assistance to over 1,300 individuals to reduce excessive drinking (NSW Department of Health D&A Plan 2007). Operation Drinksafe has run in licensed premises in Sydney South West Area Health Service. This community education program, originated in the North Coast Area Health Service, aims to reduce risky and high-risk levels of alcohol consumption (NSW Department of Health D&A Plan 2007).

References

Alcohol Working Group, National Preventative Health Taskforce. Australia: the healthiest country by 2020. Technical Report No 3. Preventing alcohol–related harm in Australia: a window of opportunity. Including addendum for October 2008 to June 2009. Canberra: Commonwealth of Australia, 2009. Available at http://www.health.gov.au/internet/preventativehealth/publishing.nsf/Content/tech-alcohol

Ministerial Council on Drug Safety. National Alcohol Strategy 2006-2011. 2006. Available at http://www.health.gov.au/internet/alcohol/publishing.nsf/Content/nas-06-09

National Preventative Health Strategy. Australia: The Healthiest Country by 2020 – National Preventative Health Strategy – Overview. Canberra: Commonwealth of Australia, 2009. Available at http://www.preventativehealth.org.au/internet/preventativehealth/publishing.nsf/Content/nphs-roadmap/$File/nphs-roadmap.pdf

NSW Department of Health . NSW Health Drug and Alcohol Plan 2006 - 2010. Sydney: NSW Department of Health, 2007. Available at http://www.health.nsw.gov.au/pubs/2007/drug_alcohol_plan.html

NSW Premier's Department. A new direction for NSW. State Plan. Sydney: NSW Premier's Department, 2006. Available at http://www.nsw.gov.au/stateplan/index.aspx?id=8f782cbd-0528-4077-9f40-75af9e4cc3e5


For more information: Alcohol

Useful websites include:

Australian Bureau of Statistics at http://www.abs.gov.au

Australian Institute of Health and Welfare at http://www.aihw.gov.au

HealthInsite at http://www.healthinsite.gov.au


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