Version 1.9.1f
Health Statistics New South Wales

Potentially avoidable deaths with projections

Males, Observed, 2006
198.4Males, Observed, 2005
207.4Males, Observed, 2004
223.1Males, Observed, 2003
231.8Males, Observed, 2002
248.9Males, Observed, 2001
257.3Males, Observed, 2000
274.3Males, Observed, 1999
293.7Males, Observed, 1998
290.2Males, Observed, 1997
310.7Males, Observed, 1996
324.5Males, Observed, 1995
329.9Males, Observed, 1994
342.3Males, Observed, 1993
344.8Males, Observed, 1992
377.3Males, Observed, 1991
372.4Males, Observed, 1990
401.2Males, Observed, 1989
437.9Males, Observed, 1988
442.6Males, Projected, 2017
131.7Males, Projected, 2016
137.1Males, Projected, 2015
142.8Males, Projected, 2014
148.8Males, Projected, 2013
155Males, Projected, 2012
161.5Males, Projected, 2011
168.2Males, Projected, 2010
175.3Males, Projected, 2009
182.7Males, Projected, 2008
190.4Females, Observed, 2006
112.8Females, Observed, 2005
114.3Females, Observed, 2004
124.5Females, Observed, 2003
127.3Females, Observed, 2002
136.3Females, Observed, 2001
134.5Females, Observed, 2000
143.3Females, Observed, 1999
147.8Females, Observed, 1998
149.3Females, Observed, 1997
164.5Females, Observed, 1996
168.9Females, Observed, 1995
177.4Females, Observed, 1994
177.7Females, Observed, 1993
183Females, Observed, 1992
191.9Females, Observed, 1991
198.4Females, Observed, 1990
206.4Females, Observed, 1989
223.5Females, Observed, 1988
226.5Females, Projected, 2017
75.9Females, Projected, 2016
78.7Females, Projected, 2015
81.7Females, Projected, 2014
84.8Females, Projected, 2013
87.9Females, Projected, 2012
91.3Females, Projected, 2011
94.7Females, Projected, 2010
98.3Females, Projected, 2009
102Females, Projected, 2008
105.9
 
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Supporting Text
Sources
Notes
Commentary

ABS mortality data and current population estimates (HOIST). Population projection estimates from the Statewide Services Development Branch of the NSW Ministry of Health in collaboration with the NSW Department of Planning (HOIST). Centre for Epidemiology and Evidence, NSW Ministry of Health.

Potentially avoidable death definitions from ANZ Atlas of avoidable mortality PHIDU 2006, based on Tobias and Jackson 2001. Deaths were classified using ICD-9 up to 1998 and ICD-10 from 1999 onwards. Rates were age-adjusted using the Australian population as at 30 June 2001. Numbers for the latest year of data include an estimate of the small numbers of deaths that were registered in the subsequent year, data for which were unavailable at the time of production. The projections are extrapolations of age specific rates for each sex using Poisson regression models.

Potentially avoidable deaths refers to premature deaths (persons aged under 75 years) that, theoretically, could have been avoided given current understanding of causation, and available disease prevention and health care. These deaths can be further differentiated into conditions where death can be averted by prevention ('preventable') or by treatment ('amenable'). Amenable conditions are defined as those from which it is reasonable to expect death to be averted even after the condition has developed, for example, through early detection and effective treatment (such as breast cancer). Preventable conditions include those for which there are effective means of preventing the condition from occurring, for example, where the aetiology is to a considerable extent related to lifestyle factors (such as smoking).

In NSW in 2007, nearly 10,457 deaths in persons aged under 75 years were potentially avoidable (6,556 deaths in males and 3,901 deaths in females). This represented 68.8% of all deaths before age 75 years (premature deaths) and 23.4% of all deaths. The rate of avoidable death was 153.8 per 100,000 population in 2007.

Between 1988 and 2007, the rate of avoidable death fell by 53.4% (55.8% in males and 50.0% in females). Over the 20 year period, the rate of preventable deaths fell by 51.7% and of amenable deaths by 55.7%.

Select the rows below to view more detail on a method

Methods: Projected numbers and rates

Projections of deaths, hospitalisations and populations

Projections of numbers and rates of deaths, hospitalisations or incidence are based on the assumption that past trends will continue into the future. Projections are helpful in high level planning and resources allocation, however the reliability of the projected estimates decreases over time from the year in which the forecasts are based.

The base data used for hospitalisations was from 1st July 1998 onwards, because the introduction of ICD-10 coding of diagnoses and counts based on episode of care caused a break in trends for some indicators at that date. For all other variables, data for the last 20 years were used as the base data for predictions. In all cases, it was assumed that current trends will continue. No allowance was made for possible future changes in treatment regimens.

For each sex and age group combination, the number of future events (deaths, hospitalisations or cases) was estimated by fitting a generalised linear model with events as a linear function of year. A Poisson distribution was assumed for the events. The model was fitted using a log link function and the log of the estimated residential population as an offset variable, using the Genmod procedure in SAS for Windows Version 9.2 (SAS Institute 2008). The projected counts for each age group were used to calculate projected age-standardised rates, and combined to calculate total counts for males, females and persons.

Population projections in this report are based on the NSW Health Population Projection Series 1, 2009, prepared by the Statewide Services Development Branch of the NSW Ministry of Health in collaboration with the NSW Department of Planning in March 2009.

References

Aitken R, Morrell S, Barraclough H, Baker D, Clements M, Jelfs P, Bishop J, F. Cancer incidence and mortality projections in New South Wales, 2007 to 2011. Sydney: Cancer Institute NSW, 2008. Available at http://www.cancerinstitute.org.au/cancer_inst/publications/pdfs/em-2007-04_cancer-incidence-and-mortality-projections-2007-2011.pdf

SAS Institute. The SAS System for Windows version 9.2. Cary, NC: SAS Institute, 2008.


Methods: Potentially avoidable deaths

The method used to calculate potentially avoidable mortality in NSW in this report is based on a method described in Australia New Zealand  Atlas of avoidable mortality (Page et al. 2006), which in turn is a revision of a set of conditions and methodology developed by Tobias and Jackson (Tobias et al. 2001). The Atlas is an authoritative source of information on deaths from avoidable conditions for Australia and New Zealand.

Potentially avoidable deaths are those attributed to conditions that are considered preventable or otherwise avoidable through earlier intervention or action and which occur before age 75 years. Potentially avoidable deaths are further sub-categorised into preventable and from causes amenable to health care. To simplify and make the categorisation more stable over time, each condition is ascribed totally to the preventable or amenable group, depending on which type of intervention plays the greater role in making the condition 'avoidable'. Only three conditions - diabetes, ischaemic heart disease and cerebrovascular diseases - have been placed equally apportioned to both groups.

The codes used to define avoidable mortality groups, along with the sub-categorisation can be found in the Codes tab with all indicators presenting potentially avoidable deaths in this report.

Page A, Tobias M, Glover J, Wright C, Hetzel D, Fisher E. Australian and New Zealand atlas of avoidable mortality. Adelaide: PHIDU, University of Adelaide, 2006. Available at http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html

Tobias M and Jackson G. "Avoidable mortality in New Zealand, 1981-1997". Australian and New Zealand Journal of Public Health 2001. Vol25 (1): 12-20.


Select the rows below to view more detail on a code

Codes: Potentially avoidable deaths: preventable and treatable

The International Statistical Classification of Diseases and Related Health Problems

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

Group of avoidable deathCondition includedICD-9 & ICD-9-CMICD-10 & ICD-10-AMSex specificAge specificPreventable or treatable (see Note)
Enteritis and other diarrhoeal diseases Diarrhoeal diseases 001-009 A00-A09     0
Infections Tuberculosis 010-018,137 A15-A19, B90     1
Childhood vaccine-preventable diseases Diphtheria, whooping cough, tetanus, polio, Hib, measles, rubella 032-033, 037, 041.2, 041.5, 045, 052, 055-056 A35-A37, A49.1, A49.2, A80, B01, B05-B06, J11   0-14 0
Infections Selected invasive bacterial and protozoal infections 034-036, 038, 084, 320, 481-482, 485, 681-682 A38-A41, A46, A48.1, B50-B54, G00, G03, J13-J15, J18, L03     1
Infections Sexually transmitted diseases except HIV/AIDS 090-099, 614.0-614.5, 614.7-616.9, 633 A50-A64, M02.3, N34.1, N70-N73, N75.0, N75.1, N76.4, N76.6, O00     0
Infections HIV/AIDS 042 B20-B24     0
Infections Hepatitis 070 B15-B19     0
Infections Viral pneumonia and Influenza 480, 487 J10, J12, J17.1, J21     0
Neoplasms Lip, oral cavity and pharynx 140-149 C00-C14     0
Neoplasms Oesophagus 150 C15     0
Neoplasms Stomach 151 C16     0
Neoplasms Colorectal 153, 154 C18-C21     1
Neoplasms Liver 155 C22     0
Neoplasms Lung 162 C33-C34     0
Neoplasms Melanoma of skin 172 C43     1
Neoplasms Nonmelanotic skin 173 C44     1
Neoplasms Breast 174 C50 Female   1
Neoplasms Uterus 179, 182 C54-C55     1
Neoplasms Cervix 180 C53     1
Neoplasms Bladder 188 C67     1
Neoplasms Cancer of testis 186 C62     0
Neoplasms Eye cancer 190 C69     0
Neoplasms Thyroid 193 C73     1
Neoplasms Hodgkins disease 201 C81     1
Neoplasms Leukemia 204.0, 204.1 C91.0, C91.1     1
Neoplasms Benign 210-229 D10-D36     1
Nutritional, endocrine and metabolic conditions Nutritional deficiency anaemia 280-281 D50-D53     0
Nutritional, endocrine and metabolic conditions Thyroid disorders 240-246 E00-E07     1
Nutritional, endocrine and metabolic conditions Diabetes 250 E10-E14     0.5
Nutritional, endocrine and metabolic conditions Adrenal disorders 255.0, 255.2, 255.4 E24, E25, E27     1
Newborn screening conditions Congenital hypothyroidism, (coded under thyroid disorders), PKU, galactosaemia 270.1, 271.1 E70.0, E74.2     1
Drug use disorders Alcohol related disease 291, 303, 305.0, 425.5, 535.3, 571.0-571.3 F10, I42.6, K29.2, K70     0
Drug use disorders Illicit drug use disorders 292, 304, 305.2-305.9 F11-F16, F18-F19     0
Neurological disorders Epilepsy 345 G40-G41     1
Ear and mastoid process diseases Ear infections- Otitis media and mastoiditis 381-383 H65-H70     1
Cardiovascular diseases Rheumatic and other valvular heart disease 390-398 I01-I09     1
Cardiovascular diseases Hypertensive heart disease 402 I11     1
Cardiovascular diseases Ischaemic heart disease 410-414 I20-I25     0.5
Cardiovascular diseases Cerebrovascular diseases 430-438 I60-I69     0.5
Cardiovascular diseases Aortic aneurysm 441 I71     0
Genitourinary disorders Nephritis and nephrosis 403, 580-589, 591 I12-I13, N00-N09, N17-N19     1
Genitourinary disorders Obstructive uropathy & prostatic hyperplasia 592, 593.7, 594, 598, 599.6, 600 N13, N20-N21, N35, N40, N99.1     1
Respiratory diseases DVT with pulmonary embolism 415.1, 451.1 I26, I80.2     0
Respiratory diseases COPD 490-492, 496 J40-J44   45-74 0
Respiratory diseases Asthma 493 J45-J46   45 1
Respiratory diseases Upper respiratory tract infection 460-465 J00-J06     1
Digestive disorders Peptic ulcer disease 531-534 K25-K28     1
Digestive disorders Acute abdomen, appendicitis, intestinal obstruction, cholecystitis / lithiasis, pancreatitis, hernia 540-543, 550-553, 574-577 K35-K38, K40-K46, K80-K83, K85-K86, K91.5     1
Digestive disorders Chronic liver disease (excluding alcohol related disease) 571.4-571.9 K73, K74     0
Osteomyelitis and other osteopathies of bone Skin, bone and joint infections 730 M86, M89-M90     0
Maternal & infant Birth defect 237.70, 740-760 H31.1, P00, P04, Q00-Q99     1
Complication of pregnancy , labor or the puerperium, Complications of pregnancy 630-632, 634-676 O01-O99     0
Maternal & infant Complications of perinatal period 764-779 P03, P05-P95     1
Sudden infant death syndrome SIDS 798.0 R95     0
Unintentional injuries Road traffic injuries, other transport injuries E810-E819 V01-V04, V06, V09-V80, V87, V89, V99     0
Unintentional injuries Accidental poisonings E850-E869 X40-X49      
Unintentional injuries Falls E880-E886, E888 W00-W19     0
Unintentional injuries Fires, burns E890-E899 X00-X09     0
Unintentional injuries Drownings (swimming) E910 W65-W74     0
Intentional injuries Suicides E950-E959, E980-E989 X60-X84, Y87.0, Y10-Y34     0
Intentional injuries Violence E960-E969 X85-Y09, Y87.1     0
Intentional injuries War E990-E999 Y36     0
Iatrogenic conditions Complications of treatment E870 - E879 Y60-Y84     0

Note: Indicates whether death can be averted by prevention (conditions marked '0'), by treatment ('1') or both ('0.5')


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Deaths from all causes with projections

Number and rate by sex and year. Includes projections.
 
Key points: Potentially avoidable deaths

• In 2007, more than one-third of premature deaths were classified as potentially avoidable. The potentially avoidable death rate has more than halved in the last 20 years.

• Aboriginal people die from premature and potentially avoidable deaths at the rate around 2.5 higher than non-Aboriginal people.

• Potentially avoidable death rates increase with increasing geographic remoteness.

• The difference in rates of potentially avoidable death between the highest and lowest socioeconomic status groups narrowed over the 20-year period. However, the relative decline was faster in the highest socioeconomic status group and the ‘gap’ between the least disadvantaged and the most disadvantaged and the rest of the population significantly increased.


Introduction: Potentially avoidable deaths

Definitions

Potentially avoidable deaths refer to premature deaths (persons aged under 75 years) that, theoretically, could have been avoided given current understanding of causation, and available disease prevention and health care ((Tobias et al. 2001 ),(Page et al. 2006)(ABS 1370.0 2010)).

Potentially avoidable deaths can be further differentiated into conditions where death can be averted by prevention ('preventable') or by treatment ('amenable'). A previously used approach of classifying avoidable causes according to the level of intervention: primary, secondary and tertiary was discontinued in 2006 as it was considered to be too reliant on expert judgement (Page et al. 2006).

Amenable conditions are defined as those from which it is reasonable to expect death to be averted even after the condition has developed, for example, through early detection and effective treatment (such as for breast cancer).

Preventable conditions include those for which there are effective means of preventing the condition from occurring, for example, where the aetiology is to a considerable extent related to lifestyle factors (such as smoking) (Page et al. 2006).

Conditions within scope are either considered to be fully amenable to healthcare interventions or fully preventable, with the exception of diabetes, ischaemic (or coronary) heart disease and cerebrovascular disease (or strokes), which are divided 50%/50% between the two categories. While these weightings do not reflect the true level of the impact of interventions related to healthcare interventions and prevention programs on individual conditions, they do provide a simple and stable means of making comparisons between groups and over time.

See Codes tab for a list of causes of avoidable deaths and their codes.

Potentially avoidable deaths in NSW

The rate of potentially avoidable death was 153.7 per 100,000 population in NSW in 2007. There were 10,457 potentially avoidable deaths, which was 23.4% of all deaths and 66% of all premature deaths in NSW in 2007.

The overall potentially avoidable death rate decreased by 53% between 1998 and 2007. The death rate from preventable causes decreased by 52% and from causes amenable to health care by 56% in this period.

Specific causes of potentially avoidable deaths in NSW

In NSW in 2006 and 2007, malignant neoplasms (cancers) were the leading cause of potentially avoidable death. They were responsible for 37.5% of all potentially avoidable deaths in NSW residents (32.6% of male and 45.8% of female deaths). Cardiovascular disease, including ischaemic heart disease and stroke, was second (27.7%) and injury and poisoning third (13.6%).

The three leading causes of potentially avoidable death: malignant neoplasms (cancers), cardiovascular disease and injury and poisoning are the same and their rank is the same in males and females, but the proportional distribution of the leading causes of potentially avoidable death is very different between the sexes, with death rates in males for these causes being closer together. This distribution of potentialy avoidable causes of death reflects a long time trend of changing causes of death in males with decreasing death rates from cardiovascular causes, extending life expectancy and the resulting increased probability of death from cancer. Despite a considerable reduction of over 25% in injury death rates in males in the decade to 2007, the injuries are still more than twice as frequent a cause of death in males than in females. Injuries are by far the leading cause of death in males aged 5-44 years accounting for almost three quarters of all causes of death in males aged 15-24 years.

References

Australian Bureau of Statistics. Measures of Australia's progress, 2010: Potentially avoidable deaths. 1370.0. Web page. Canberra: ABS, 2010. Available at http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1370.02006%20(Reissue)?OpenDocument (Cited on 4 November 2010).

Page A, Tobias M, Glover J, Wright C, Hetzel D, Fisher E. Australian and New Zealand atlas of avoidable mortality. Adelaide: PHIDU, University of Adelaide, 2006. Available at http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html

Tobias M and Jackson G. "Avoidable mortality in New Zealand, 1981-1997". Australian and New Zealand Journal of Public Health 2001. Vol25 (1): 12-20.

 


Interventions: Potentially avoidable deaths

Interventions aimed at reducing potentially avoidable deaths in NSW are embedded in strategies dealing with specific health issues or specific disadvantaged populations. Variation in potentially avoidable death rates among health regions reflect the distribution of the underlying social and economic determinants of health which are associated with the geographic clustering of populations of lower socioeconomic status, high Aboriginal populations and populations with a high prevalence of disease risk factors. Other factors such as access to primary health care and other health services, particularly specialist treatment services may also contribute to this variation.

Health services are increasingly able to manage chronic diseases and prolong life and more conditions are regarded as amenable to health care. Because this trend should continue, the rate of potentially avoidable deaths is likely to continue to decrease in the short- to medium- term. Reductions in the longer term, however, depend upon sustainable declines in the risk factors which cause the greatest number of potentially avoidable deaths. Ongoing prevention programs are required to reduce the prevalence of these risk factors in the population, including smoking, obesity, inadequate physical activity and poor nutrition.  


For more information: Potentially avoidable deaths

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

Public Health Information Development Unit at the University of Adelaide at http://www.publichealth.gov.au


Key points: Deaths

• The age standardised death rate in NSW has more than halved in the last 35 years. The male death rate was 48% higher than the female rate in 2007.


Introduction: Deaths

Definition

Death or mortality statistics are published at regular intervals in most countries and usually show numbers and rates of deaths by sex, age and other variables. A death rate is an estimate of the proportion of the population that dies during a specified period. (Last 2001). In this report it is expressed as the number of deaths per 100,000 population (person-years).

The proportion of older people varies between geographic areas and over time and can therefore influence death rate comparisons within these dimensions. Age-adjustment (also known as age-standardisation) allows for the comparison of death rates across geographic areas and over time after removing the effects of the different age structures in these dimensions.

Refer to the Methods tab for more information.

Death rates in NSW and in Australia

In NSW in 2007, the age-adjusted death rate was 589.1 deaths per 100,000 population. There were 46,341 deaths in NSW in 2007 - 23,615 men and 22,726 women died that year.

The ABS reported death rate for NSW for 2009 was 5.7 deaths per 1000 people, the same as in the whole of Australia, which was the lowest on record.  The rates in NSW in 2007 and 2008 were 5.9 and 6.0 respectively as reported by the ABS (ABS 3302.0 2010). The ABS reports deaths by the year of registration and this report uses the year of occurrence as the basis of reporting. Refer to the Methods tab for more information.

Death rates internationally

Death rates from all causes are low in Australia and NSW by international standards.  The WHO classifies Australia into an ‘A stratum’, with very low child and adult mortality (WHO 2003). Comparisons by country reveal that the probability of dying between 15 and 60 years per 1000 population (WHO calculated adult mortality rate) spans from low 50s to 600-700 in some African counties. Australia’s rate was 61 per 1000 in 2008 which placed it in the top five best results in the world (WHO 2010).

Causes of death in NSW by sex and age in 2007

The leading causes of all deaths in NSW (after averaging results from the last two years) were cardiovascular diseases followed by malignant neoplasms (or cancers), contributing around one third of all deaths each. Respiratory diseases and injury and poisonings were a distant third and fourth cause of all death, below 10% of all deaths each.

The results of analysis by sex and age reveal striking differences between males and females and different ages. One of the main differences is that injury and poisoning is of much greater importance as a cause of death in younger ages in both sexes, but especially in males. It constitutes over 70% of all deaths in males aged 15-24 years and over 50% in females of the same age.

References

Australian Bureau of Statistics. Deaths, Australia 2009. 3302.0. Canberra: ABS, 2010. Available at http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3302.02009?OpenDocument

Last JM (eds). A dictionary of epidemiology. Fourth edition. New York: Oxford University Press. Inc, 2001.

World Health Organisation. World health statistics 2010. Geneva: WHO, 2010. Available at http://www.who.int/whosis/whostat/en/index.html

World Health Organization. The world health report 2003 - shaping the future. Geneva: WHO, 2003. Available at http://www.who.int/whr/2003/en/


Interventions: Deaths

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


For more information: Deaths

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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