Population health profile of the. Adelaide Central and Eastern. Division of General Practice: supplement

Transcription

1 Population health profile of the Adelaide Central and Eastern Division of General Practice: supplement Population Profile Series: No. 89a PHIDU March 2007

2 Copyright Commonwealth of 2007 This work may be reproduced and used subject to acknowledgement of the source of any material so reproduced. National Library of Cataloguing in Publication entry Population health profile of the Adelaide Central Eastern Division of General Practice: supplement. Bibliography. ISBN (web).. Public health - South - Adelaide - Statistics. 2. Health status indicators - South - Adelaide - Statistics. 3. Health service areas - South - Adelaide. 4. Adelaide (S. Aust.) - Statistics, Medical. I. Public Health Information Development Unit (). (Series : Population profile series ; no. 89a) ISSN Population Profile Series Public Health Information Development Unit, The University of Adelaide A Collaborating Unit of the n Institute of Health and Welfare This profile was produced by PHIDU, the Public Health Information Development Unit at The University of Adelaide, South. The work was funded under a grant from the n Government Department of Health and Ageing. The views expressed in this profile are solely those of the authors and should not be attributed to the Department of Health and Ageing or the Minister for Health and Ageing. Interpretation of differences between data in this profile and similar data from other sources needs to be undertaken with care, as such differences may be due to the use of different methodology to produce the data. Suggested citation: PHIDU. (2007) Population health profile of the Adelaide Central and Eastern Division of General Practice: supplement. Population Profile Series: No. 89a. Public Health Information Development Unit (PHIDU), Adelaide. Enquiries about or comments on this publication should be addressed to: PHIDU, The University of Adelaide, South 5005 Phone: or PHIDU@publichealth.gov.au This publication, the maps and supporting data, together with other publications on population health, are available from the PHIDU website ( Published by Public Health Information Development Unit, The University of Adelaide Contributors: Anthea Page, Sarah Ambrose, Kristin Leahy and John Glover ii

3 Population health profile of the Adelaide Central and Eastern Division of General Practice: supplement This profile is a supplement to the Population health profile of the Adelaide Central and Eastern Division of General Practice, dated November 2005, available from This supplement includes an update of the population of the Adelaide Central Eastern Division of General Practice, as well as additional indicators and aspects of the Division s socioeconomic status, use of GP services and health. The contents are: Population [updated to June 2005] Additional socio-demographic indicators Unreferred attendances patient flow/ GP catchment Additional prevalence estimates: chronic diseases and risk factors combined Avoidable hospitalisations: hospital admissions resulting from ambulatory care sensitive conditions Avoidable mortality For further information on the way Division totals in this report have been estimated, please refer to the Notes on the data section of the Population health profile, November 2005 ( Population The Adelaide Central and Eastern Division had an Estimated Resident Population of 82,072 at 30 June Figure : Annual population change, Adelaide Central Eastern DGP, Adelaide, South and, 99 to 996, 996 to 200 and 200 to 2005 Annual % change Adelaide Adelaide Central Eastern South Over the five years from 99 to 996, the Division s population increased by 0.3% on average each year, below the rate for Adelaide and South (both 0.4%). From 996 to 200, the annual percentage increase in the Division was 0.4%, lower than the increases for Adelaide and South (both 0.6%). The Division s growth rate decreased to 0.2% from 200 to 2005, again lower than the annual increases for Adelaide and South (both 0.4%). Population change at the national level was much higher in all periods. Table : Population by age, Adelaide Central Eastern DGP and, 2005 Age group (years) Adelaide Central Eastern DGP No. % No. % , ,978, , ,89, , ,878, , ,984, , ,398, , , , ,027.5 Total 82, ,328, As shown in the accompanying table and the age-sex pyramid (Figure 2), the Adelaide Central and Eastern DGP had notably fewer children than as a whole, with 4.4% at ages 0 to 4 years (compared to 9.6% for ) (Table ). Conversely, the proportions of the Division s population aged 45 years and over were higher, in some cases substantially so, than for.

4 Figure 2: Population in Adelaide Central Eastern DGP and, by age and sex, 2005 Age (years) Adelaide Central Eastern DGP Males Females Males Females Population 2005 Population 2020 Males Females Males Females Proportion of population: per cent Age (years) The most notable differences in the age distribution of the Division s population (when compared to overall) are: at younger ages substantially fewer children aged 0 to 4 years; from 20 to 24 years substantially more males and females; from 30 to 44 years relatively fewer females; and at older ages relatively more males and females aged 55 years and over (most notably, females at ages 75 years and over). Figure 3: Population projections for Adelaide Central Eastern DGP, by age and sex, 2005 and Proportion of population: per cent Additional socio-demographic indicators The population projections for the Division show a number of changes in age distribution, with the 2020 population projected to have: at younger ages relatively fewer children, young people and young adults, aged 0 to 24 years; from 30 to 49 years relatively fewer males and females; and from age 60 onwards relatively more males and females (excluding 80 to 84 year old females). Please refer to the earlier Population health profile of the Adelaide Central and Eastern Division of General Practice, dated November 2005, available from for other sociodemographic indicators. Figure 4: Index of Relative Socio-Economic Disadvantage, Adelaide Central Eastern DGP, 200 Index, Least disadvantaged Most disadvantaged Q Q2 Q3 Q4 Q5 Quintile of socioeconomic disadvantage of area One of four socioeconomic indexes for areas produced at the 200 ABS Census is the Index of Relative Socio-Economic Disadvantage. The Adelaide Central and Eastern DGP has an index score of 07, above the score for of 000: this score varies across the Division, from 980 in the most disadvantaged areas to 40 in the least disadvantaged areas. Note: each quintile comprises approximately 20% of the population of the Division. A new indicator, produced for the first time at the 200 ABS Census, shows the number of jobless families with children under 5 years of age. There were markedly fewer jobless families in the Adelaide Central and Eastern DGP (.6%), compared to Adelaide as a whole (9.2%) (Figure 5, Table 2). With the introduction of the 30% rebate for private health insurance premiums, there was a once-off registration process, providing information of the postcode and residence of those who had such insurance (these data are not available at this area level for later dates). In 200, the Division had a markedly higher proportion of people with private health insurance (63.5%), compared to Adelaide (54.2%) (Figure 5, Table 2). 2

5 Figure 5: Socio-demographic indicators, Adelaide Central Eastern DGP, Adelaide, South and, 200 Jobless families with children under 5 years old Per cent Adelaide Adelaide Central Eastern Indicator South Per cent Private health insurance, 30 June 0 Adelaide Adelaide Central Eastern South Table 2: Socio-demographic indicators, Adelaide Central Eastern DGP, Adelaide, South and, 200 Jobless families with children under 5 years old Private health insurance (30 June) Adelaide Central Eastern DGP Adelaide South No. % No. % No. % No. %, , , , , , , ,67, Details of the distribution of jobless families (Map ) and of the population covered by private health insurance (Map 2) are shown by Statistical Local Area (SLA) in Maps and 2, respectively. Map : Jobless families with children under 5 years of age by SLA, Adelaide Central Eastern DGP, Map legend for SLAs not distinguishable Tea Tree Gully - South For map labels: see next page Per cent 20.0% or more 6.0% to 9.9% 2.0% to 5.9% 8.0% to.9% fewer than 8.0% not mapped # # data were not mapped: see Mapping note under Methods 3

6 Map 2: People covered by private health insurance by SLA, Adelaide Central Eastern DGP, 30 June Map legend for SLAs not distinguishable Tea Tree Gully - South Per cent Fewer than 50.0% 50.0% to 55.9% 56.0% to 6.9% 62.0% to 67.9% 68.0% or more not mapped # # data were not mapped: see Mapping note under Methods Alphabetical key to Statistical Local Areas, Adelaide Central Eastern DGP, 200 Adelaide 4 Norwood Payneham St Peters - East 0 Adelaide Hills - Ranges 5 Norwood Payneham St Peters -West Burnside - North-East 6 Tea Tree Gully - South Burnside - South-West 7 Unley - East 2 Campbelltown - East 8 Unley - West 3 Campbelltown - West 9 Walkerville 4 Marion - North 5 West Torrens - East 2 Mitcham - North-East 6 West Torrens - West 3 4

7 GP services to residents of the Adelaide Central and Eastern DGP The following tables include information, purchased from Medicare, of the movement of patients and GPs between Divisions. Note that the data only include unreferred attendances recorded under Medicare: unreferred attendances not included are those for which the cost is met by the Department of Veterans Affairs or a compensation scheme; or are provided by salaried medical officers in hospitals, community health services or Aboriginal Medical Services, and which are not billed to Medicare. At any attendance, one or more services may have been provided. Over two thirds (70.7%) of unreferred attendances to residents of Adelaide Central and Eastern DGP were provided in the Division (ie. by a GP with a provider number in the Division): this represented 623,807 GP unreferred attendances (Table 3). A further 0.2% of unreferred attendances to residents of the Division were provided by GPs in Adelaide North East DGP, with approximately 7.0% by GPs in each of Southern DGP and Adelaide Western DGP. Table 3: Patient flow People living in Adelaide Central and Eastern DGP by Division where attendance occurred 2, 2003/04 Division Unreferred attendances Number Name No. % Adelaide Central and Eastern DGP 623, Adelaide North East DGP 89, Southern DGP 67, Adelaide Western DGP 6, Adelaide Hills DGP 0,58.2 Other.. 28, Total.. 882, Based on address in Medicare records 2 Division of GP based on provider number 3 Proportion of all unreferred attendances of patients with an address in Division 504 by Division in which attendance occurred Just over half (55.%) of unreferred attendances provided by GPs with a provider number in Adelaide Central and Eastern DGP were to people living in the Division (ie. their Medicare address was in the Division) (Table 4). A further 2.7% of unreferred attendances were provided to residents of Southern DGP, with 2.3% from North East DGP and 0.9% provided to people from Adelaide Western DGP. The relatively low proportion of patients represented by residents of the Division (55.%) reflects the relatively large number of people coming into the Division during the day to work (in particular in the city centre), some of whom use GPs in the Division. Table 4: GP catchment Unreferred attendances provided by GPs in Adelaide Central and Eastern DGP by Division of patient address 2, 2003/04 Division Unreferred attendances Number Name No. % Adelaide Central and Eastern DGP 623, Southern DGP 43, Adelaide North East DGP 39, Adelaide Western DGP 23, Adelaide Northern DGP 48, Adelaide Hills DGP 7,742.6 Other.. 35, Total..,32, Division of GP based on provider number 2 Based on address in Medicare records 3 Proportion of all unreferred attendances to GPs with a provider number in Division 504 by Division of patient address 5

8 Additional prevalence estimates: chronic diseases and risk factors combined Please refer to the earlier Population health profile of the Adelaide Central and Eastern Division of General Practice, dated November 2005, available from for the separate prevalence estimates of chronic disease; measures of self-reported health and risk factors. The process by which the estimates have been made, and details of their limitations, are also described in the Notes on the data section of this earlier profile. In this section two estimates, which combine the prevalence of selected chronic diseases with a risk factor, are shown for the Division. The measures are of people who had asthma and were smokers, and people who had type 2 diabetes and were overweight or obese: note that the estimates have been predicted from self-reported data, and are not based on clinical records or physical measures. It is estimated that there were markedly fewer people in Adelaide Central and Eastern DGP who had asthma and were smokers, compared to Adelaide or as a whole (Figure 6, Table 5): that is, the prevalence rates per,000 population were lower. The rate of people in Adelaide Central and Eastern DGP who had type 2 diabetes and were overweight/ obese was slightly lower than in Adelaide or. Figure 6: Estimates of selected chronic diseases and risk factors, Adelaide Central Eastern DGP, Adelaide and, 200 Adelaide Central Eastern DGP Adelaide Variable Rate per,000 Had asthma and were smokers (8+ years) Had type 2 diabetes and were overweight/ obese (5+ years) Table 5: Estimates of selected chronic diseases and risk factors, Adelaide Central Eastern DGP, Adelaide, South and, 200 Variable Adelaide Central Eastern DGP Adelaide South No. Rate 2 No. Rate 2 No. Rate 2 No. Rate Had asthma 3, , , , smoked 3 Had type 2 diabetes were overweight/ obese 4 2, , , , No. is a weighted estimate of the number of people in Adelaide Central Eastern DGP reporting these chronic conditions/ with these risk factors and is derived from synthetic predictions from the 200 NHS 2 Rate is the indirectly age-standardised rate per,000 population 3 Population aged 8 years and over 4 Population aged 5 years and over 6

9 Avoidable hospitalisations: hospital admissions resulting from ambulatory care sensitive conditions The rationale underlying the concept of avoidable hospitalisations is that timely and effective care of certain conditions, delivered in a primary care setting, can reduce the risk of hospitalisation. Admissions to hospital for these ambulatory care sensitive (ACS) conditions can be avoided in three ways. Firstly, for conditions that are usually preventable through immunisation or nutritional intervention, disease can be prevented almost entirely. Secondly, diseases or conditions that can lead to rapid onset problems, such as dehydration and gastroenteritis, can be treated. Thirdly, chronic conditions, such as congestive heart failure, can be managed to prevent or reduce the severity of acute flare-ups to avoid hospitalisation. This measure does not include other aspects of avoidable morbidity, namely potentially preventable hospitalisations (hospitalisations resulting from diseases preventable through population based health promotion strategies, e.g. alcohol-related conditions; and most cases of lung cancer) and hospitalisations avoidable through injury prevention (e.g. road traffic accidents). For information on the ambulatory care sensitive conditions and ICD codes included in the analysis in this section, please refer to the Atlas of Avoidable Hospitalisations in : ambulatory care-sensitive conditions, available from In 200 to 2002, the 4,62 admissions from ambulatory care sensitive (ACS) conditions accounted for 7.4% of all admissions in the Adelaide Central and Eastern DGP (Table 6, Figure 7), notably below the levels in South (8.5) and (8.7%). Table 6: Avoidable and unavoidable hospitalisations, Adelaide Central Eastern DGP, South, and, 200/02 Category Adelaide Central Eastern DGP South No. Rate 2 % No. Rate 2 % No. Rate 2 % Avoidable 4,62 2, ,247 2, ,786 2, Unavoidable 57,608 28, ,053 32, ,88,99 29, Total 62,220 30, ,300 34, ,370,985 32, Admissions resulting from ACS conditions 2 Rate is the indirectly age-standardised rate per 00,000 population Figure 7: Avoidable hospitalisations, Adelaide Central Eastern DGP, South and, 200/02 Rate per 00,000 3,500 3,000 2,500 2,000,500, Adelaide Central Eastern South Admissions resulting from ACS conditions The rate of avoidable hospitalisations in Adelaide Central and Eastern DGP is markedly lower, a rate of 2,69.2 admissions per 00,000 population, compared to both South (a rate of 2,95.7) and (2,847.5). Diabetes complications, dental conditions and asthma were the three conditions with the highest rates of avoidable hospitalisations in the Adelaide Central and Eastern DGP (Figure 8, Table 7). Table 7 shows the number, rate and proportion of avoidable hospitalisations, for the individual ACS conditions, as well as the vaccine-preventable; acute; and chronic sub-categories. Two-thirds of avoidable hospitalisations are attributable to chronic health conditions. The predominance of hospitalisations for chronic conditions in this period can be primarily attributed to the large number of admissions for diabetes complications. Dental conditions; and ear, nose and throat infections have the highest rates of avoidable hospitalisations for the acute conditions. 7

10 Figure 8: Avoidable hospitalisations by condition, Adelaide Central Eastern DGP and South, 200/02 Adelaide Central Eastern DGP South Diabetes complications Dental conditions Asthma Chronic obstructive pulmonary disease Ear, nose and throat infections Congestive cardiac failure Dehyration and gastroenteritis Convulsions and epilepsy Angina Cellulitis Iron deficiency anaemia Influenza and pneumonia Pyelonephritis Other vaccine-preventable conditions Perforated/bleeding ulcer Pelvic inflammatory disease Hypertension Gangrene Ruptured appendix Rate per 00,000 Admissions resulting from ACS conditions: excludes nutritional deficiencies as less than ten admissions Table 7: Avoidable hospitalisations by condition, Adelaide Central Eastern DGP, South and, 200/02 Sub-category/ condition Adelaide Central Eastern DGP South No. Rate 2 No. Rate 2 No. Rate 2 Vaccine-preventable , , Influenza and pneumonia 28 6., , Other vaccine preventable , Chronic 3 2,862, ,607, ,545,86 Diabetes complications , , Iron deficiency anaemia , , Hypertension , Congestive heart failure , , Angina , , Chronic obstructive pulmonary disease , , Asthma , , Acute, ,405, ,93,035 Dehydration and gastroenteritis , , Convulsions and epilepsy , , Ear, nose and throat infections , , Dental conditions , , Perforated/bleeding ulcer , Ruptured appendix , Pyelonephritis , Pelvic inflammatory disease , Cellulitis , , Gangrene , Total avoidable hospitalisations 4 4,62 2, ,247 2, ,786 2,847.5 Admissions resulting from ACS conditions 2 Rate is the indirectly age-standardised rate per 00,000 population 3 Excludes nutritional deficiencies as less than ten admissions 4 Sub-category and condition numbers and rates do not add to the reported total avoidable admissions: five conditions (influenza pneumonia, other vaccine preventable, diabetes complications, ruptured appendix and gangrene) are counted in any diagnosis, so may be included in more than one condition group 8

11 Avoidable mortality Avoidable and amenable mortality comprises those causes of death that are potentially avoidable at the present time, given available knowledge about social and economic policy impacts, health behaviours, and health care (the latter relating to the subset of amenable causes). For information on the avoidable and amenable mortality conditions and ICD codes included in the analysis in this section, please refer to the n and New Zealand Atlas of Avoidable Mortality, available from Over two thirds (69.5%) of all deaths in Adelaide Central and Eastern DGP at ages 0 to 74 years over the period 997 to 200 are considered to be avoidable, slightly lower than the proportion for Adelaide (7.0%) (Table 8). However, the rate in the Division is notably lower than that in Adelaide, a differential of Deaths amenable to health care (amenable mortality, a subset of avoidable mortality) accounted for 29.0% of all deaths at ages 0 to 74 years in Adelaide Central and Eastern DGP, compared to 29.2% in Adelaide. Table 8: Avoidable and unavoidable mortality (0 to 74 years) by area, Adelaide Central Eastern DGP, Adelaide, South and, 997 to 200 Mortality category Adelaide Central Eastern DGP Adelaide South No. Rate No. Rate No. Rate No. Rate Avoidable, , , , % of total (Amenable) (703) (75.6) (4,563) (82.9) (6,556) (85.9) (76,249) (85.) (% of total) (29.0) (..) (29.2) (..) (29.4) (..) (28.7) (..) Unavoidable , , , % of total Total mortality 2, , , , % Rate is the indirectly age-standardised rate per 00,000 population Rates of avoidable mortality were higher for males than for females in each of the comparator areas. Adelaide Central and Eastern DGP s rate of avoidable mortality for males was deaths per 00,000 males, higher than the rate of 27.8 for females. Similarly, the rate of amenable mortality for males in the Division was higher, 84.0, compared to 67.0 for females, a rate ratio of.25 (Figure 9, Table 9). Figure 9: Avoidable and amenable mortality by sex (0 to 74 years), Adelaide Central Eastern DGP, Adelaide, South and, 997 to 200 Note: the different scales Avoidable Amenable Rate per 00,000 Males Females Rate per 00, Males Females Adelaide Adelaide Central Eastern South 0 Adelaide Adelaide Central Eastern South 9

12 Table 9: Avoidable and amenable mortality (0 to 74 years) by sex, Adelaide Central Eastern DGP, Adelaide, South and, 997 to 200 Mortality category and sex Adelaide Central Eastern DGP Adelaide South No. Rate No. Rate No. Rate No. Rate Avoidable Males, , , , Females , , , Total, , , , Rate ratio M:F **...82 **...85 **...82 ** Amenable Males , , , Females , , , Total , , , Rate ratio M:F *...25 **...27 **...25 ** Rate is the indirectly age-standardised rate per 00,000 population 2 Rate ratio (M:F) is the ratio of male to female rates; rate ratios differing significantly from.0 are shown with * p <0.05; ** p <0.0 Another way of measuring premature mortality is to calculate the number of years of life lost (YLL), which takes into account the years a person could have expected to live at each age of death based on the average life expectancy at that age. The numbers of YLL for Adelaide Central and Eastern DGP, Adelaide, South and over the period of analysis are shown in Table 0 by mortality category. However, given the substantial variation in the populations of these areas, a comparison of the proportion of YLL for each area is also shown. YLL from avoidable mortality accounted for 70.% of total YLL (0 to 74 years) for Adelaide Central and Eastern DGP, lower than the 7.3% for Adelaide. The proportion of YLL from amenable mortality of 28.% for Adelaide Central and Eastern DGP was marginally lower than the 28.5% for Adelaide. Table 0: Years of life lost from avoidable mortality (0 to 74 years), Adelaide Central Eastern DGP, Adelaide, South and, 997 to 200 Mortality category Adelaide Central Eastern DGP Adelaide South No. % of total No. % of total No. % of total No. % of total Avoidable 28, , , ,327, (Amenable) (,544) (28.) (75,62) (28.5) (08,777) (28.6) (,298,430) (28.0) Unavoidable 2, , , ,303, Total 4, , , ,630, Years of life lost were calculated using the remaining life expectancy method (this provides an estimate of the average time a person would have lived had he or she not died prematurely). The reference life table was the Coale and Demeny Model Life Table West level 26 female (for both males and females), with the YLL discounted to net present value at a rate of 3 per cent per year. 0

13 In each of the areas in Table, the majority of avoidable mortality at ages 0 to 74 years occurred in the 65 to 74 year age group (Table ), with,70.2 deaths per 00,000 population in the Adelaide Central and Eastern Division. The 45 to 64 year age group accounted for the next highest rate of avoidable death in all of the comparators, with a rate of 25.4 in the Adelaide Central and Eastern Division. Table : Avoidable and amenable mortality by age, Adelaide Central Eastern DGP, Adelaide, South and, 997 to 200 Mortality category and age (years) Adelaide Central Eastern DGP Adelaide South No. Rate No. Rate No. Rate No. Rate Avoidable , , , , , , , , ,70.2 5, , ,493,358. Total, , , , Amenable , , , , , , , , Total , , , Rate is the indirectly age-standardised rate per 00,000 population Table 2 shows the number and age-standardised death rate by selected major condition group and selected causes included in the avoidable mortality classification. The highest rates of avoidable mortality for the selected major condition groups in the Adelaide Central and Eastern DGP were for cancer and cardiovascular diseases, both with a rate of 57.7 deaths per 00,000 population (Table 2, Figure 0). For the selected causes within the condition groups, the two major causes of avoidable mortality were ischaemic heart disease and lung cancer, with rates of 4.9 per 00,000 population and 7.2 per 00,000, respectively. Table 2: Avoidable mortality (0 to 74 years) by major condition group and selected cause, Adelaide Central Eastern DGP, Adelaide, South and, 997 to 200 Condition group/ selected cause Adelaide Central Eastern DGP Adelaide South No. Rate No. Rate No. Rate No. Rate Cancer , , , Colorectal cancer , , Lung cancer , , , Cardiovascular diseases , , , Ischaemic heart disease , , , Cerebrovascular diseases , , Respiratory system , diseases Chronic obstructive ,395.6 pulmonary disease Unintentional injuries , , Road traffic injuries ,38 9. Intentional injuries , , Suicide and self inflicted , , injuries Rate is the indirectly age-standardised rate per 00,000 population

14 For all of the condition groups and selected causes, rates in the Division were below, or consistent with, those for Adelaide and (Figure 0). Figure 0: Avoidable mortality (0 to 74 years) by major condition group and selected cause, Adelaide Central Eastern DGP, Adelaide and, 997 to 200 Adelaide Central Eastern DGP Adelaide Condition group/ selected cause Rate per 00,000 Cancer Colorectal cancer Lung cancer Cardiovascular diseases Ischaemic heart disease Cerebrovascular diseases Respiratory system diseases Chronic obstructive pulmonary disease Unintentional injuries Road traffic injuries Intentional injuries Suicide and self inflicted injuries

15 Notes on the data Data sources and limitations General References to Adelaide relate to the Adelaide Statistical Division. Data sources Table 3 details the data sources for the material presented in this profile. Table 3: Data sources Section Population Figures and 2; Table Figure 3 Source Estimated Resident Population, ABS, 30 June for the periods shown Estimated Resident Population, ABS, 30 June 2005; Population Projections, ABS, 30 June 2020 (unpublished) Additional socio-demographic indicators Figure 4 ABS SEIFA package, Census 200 Table 2; Figure 5; Map Jobless families, ABS, 200 (unpublished) Table 2; Figure 5; Map 2 Private health insurance, from Hansard GP services patient flow/ GP catchment Tables 3 and 4 Medicare, 2003/04 Additional prevalence estimates: chronic diseases and risk factors combined Figure 6; Table 5 Estimated from 200 National Health Survey (NHS), ABS (unpublished) Avoidable hospitalisations: hospital admissions resulting from ambulatory care sensitive conditions Tables 6 and 7; Figures 7 and 8 National Hospital Morbidity Database at n Institute of Health Welfare, 200/02; data produced in HealthWIZ by Prometheus Information (not available in public release dataset) Avoidable mortality Tables 8, 9, 0, and 2; Figures 9 and 0 ABS Deaths ; data produced in HealthWIZ by Prometheus Information (not available in public release dataset) The projected population at June 2020 is based on the 2002 ERP. As such, it is somewhat dated, and does not take into account more recent demographic trends: it is however the only projection series available at the SLA level for the whole of. Methods For background information on the additional prevalence estimates presented in this profile, please refer to the Notes on the data section of the Population health profile, November 2005 ( Please also refer to the November 2005 profile for information on the data converters. Mapping In some Divisions the maps may include a very small part of an SLA which has not been allocated any population; or has a population of less than 00 or has less than % of the SLAs total population; or there were less than five cases (ie. jobless families, people with health insurance): these areas are mapped with a pattern. 3

16 Statistical geography of the Adelaide Central Eastern DGP For information on the postcodes in the Division, please refer the Department of Health and Ageing website also included in table format in the Notes on the data section of the Population health profile, November 2005 ( Statistical Local Areas (SLAs) are defined by the n Bureau of Statistics to produce areas for the presentation and analysis of data. In this Division, most Local Government Areas (LGAs) have been split into SLAs. For example, Unley is comprised of two SLAs - East and West. All of these SLAs, and all or parts of the other SLAs listed in Table 4 comprise the Division. Table 4: SLAs and population in Adelaide Central Eastern DGP, 2005 on 200 boundaries SLA code SLA name Per cent of the SLA s population in the Division * Estimate of the SLA s 2005 population in the Division Adelaide , Adelaide Hills - Ranges , Burnside - North-East , Burnside - South-West , Campbelltown - East , Campbelltown - West , Marion - North 2.9 3, Mitcham - North-East 6.7, Norwood Payneham St Peters - East 58. 9, Norwood Payneham St Peters - West , Prospect Tea Tree Gully South 5.5, Unley - East , Unley - West , Walkerville , West Torrens - East 2.9 5, West Torrens - West 2.9 3,697 * Proportions are approximate and are known to be incorrect in some cases, due to errors in the concordance used to allocate CDs to form postal areas Acknowledgements Funding for these profiles was provided by the Population Health Division of the Department of Health and Ageing (DoHA). Further developments and updates When the re-aligned boundaries are released and DoHA have made known their geographic composition, PHIDU will examine the need to revise and re-publish these profiles (Population health profile, dated November 2005, and the Population health profile: supplement, dated March 2007). PHIDU contact details For general comments, data issues or enquiries re information on the web site, please contact PHIDU: Phone: or PHIDU@publichealth.gov.au 4