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Burden of Disease - accuracy of estimates

Condition State estimates LGA estimates  Comment
Deaths (all conditions) excellent  excellent  Good vital registration data. Use of five years of death data improves accuracy of LGA estimates. 
Infectious Disease      
Lower respiratory infections good  fair  Victorian estimates based on hospital admissions. LGA estimates use state rates by age and sex. 
Neonatal conditions excellent  excellent  Good data on neonatal conditions as almost all babies born in hospital. 
Cancers excellent  excellent  Good data from cancer registry, LGA estimates based on SEIFA and rurality determined from the registry. 
Diabetes good  good  State estimates based on measurement survey AusDiab 2002. LGA differentials based on SEIFA and rurality self reported in National Health Survey 2001. 
Other endocrine and metabolic disorders fair  reasonable  Victorian estimates based on mortality data and SEIFA and rurality mortality differentials for LGA level estimates 
Mental disorders      
Alcohol dependence, depression, anxiety + personality disorders fair  fair  Derived from old but good quality survey data for whole of Australia 1997. LGA differentials based on SEIFA and rurality in same survey.  
Heroin abuse/dependance fair  fair  Reasonable data sources (NDARC 2004) due to difficulty in collecting information on a group of people often not included in 'normal' surveys. LGA estimates based on SEIFA in the NMHWB survey 1997. Estimates are more than 'ball park' figures.  
Bipolar disorder fair  reasonable  Derived from international prevalence estimates. LGA estimates based on SEIFA in the NMHWB survey 1997. 
Schizophrenia good  no information  Estimates of prevalence confirmed by "Low Prevalence Study", part of the mental health survey which specifically measured psychotic disorders. 
Neuro and Sense disorders      
Dementia good  fair  Based on overseas data but prevalence by age stable across many countries. Mortality data for dementia may be prone to differences in coding practices , but differentials in mortality by SEIFA and rurality have been used to identify LGA differences. 
Epilepsy fair  reasonable  Victorian estimates based on overseas data. LGA information based on SEIFA and rurality differentials self reported in the NHS 2001. 
Parkinsons good  no information  Based on overseas data, no local let alone LGA information. 
Vision loss correctable by spectacles good  fair  Based on local survey data of good quality. LGA estimates based on SEIFA and rurality differentials self reported in the NHS 2001. 
Hearing loss good  fair  Based on good SA survey, probably applies to Victoria; LGA estimates based on SEIFA and rurality differentials self reported in the NHS 2001. 
Other nervous system disorders fair  fair  Victorian estimates based on mortality data and SEIFA and rurality mortality differentials for LGA level estimates 
Cardiovascular disease      
Ischaemic heart disease good  good  Based on hospital data for infarction and survey data for angina. LGA estimates based on SEIFA and rurality differentials in hospitalisation data 
Stroke good  good  Good data from hospitals with some adjustments based on epidemiological studies for non-hospitalised cases, number of first-ever stroke cases and level of severity. LGA estimates based on SEIFA and rurality differentials in hospitalisation data 
Inflammatory heart disease good  good  Based on hospitalisations.  
Other CVD fair  reasonable  Extrapolated from hospitalised cases. LGA estimates based on SEIFA and rurality differentials in mortality data for 2001. 
Chronic respiratory disease      
COPD fair  reasonable  Based on community study from WA. Reasonable assumption of LGA variation according to SEIFA and rurality mortality differences. 
Asthma fair  fair  Based on Australian studies which used results based on hyperresponsiveness test rather than the larger self-reported figures. LGA differences implied from SEIFA and rurality differentials self-reported asthma in national health survey 2001. 
Other chronic respiratory condititons fair  reasonable  Victorian estimates based on mortality data and SEIFA and rurality mortality differentials for LGA level estimates 
Digestive disorders      
Liver Cirrhosis fair  reasonable  Based on admission data but community prevalence hard to estimate. Reasonable to use SEIFA and rurality differences in hospitalisations as proxy for LGA differences. 
Genito-urinary diseases      
Nephritis/nephrosis good  reasonable  From disease register of renal failure. Reasonable assumption of LGA variation according to SEIFA and rurality mortality differences. 
Benign prostatic hypertrophy reasonable  good  Data on incidence consistent with other data sources. Lack of knowledge of natural history of disease and rate of complications post-surgery (filled in with "expert opinion"). LGA differentials based on admission data for surgery. 
Infertility fair  no information  Prevalence from one epidemiological study. Unknown LGA differentials. 
Musculoskeletal disorders      
Rheumatoid arthritis fair  no information  Based on overseas data. 
Osteoarthritis fair  poor  Based on overseas data. LGA estimates based on SEIFA and rurality differentials in self-reported arthritis in national health survey.  
Other congenital anomalies fair  no information  Victoria based on estimates of spina bifida Down syndrome and other chromosonal anomalies disability 
Oral health      
Dental caries good  no information  Good South Australian data on prevalence of DMFT. Unknown LGA differentials. 
Injuries excellent  excellent  Victorian hospitalisations data (2001) used for Victorian estimates. LGA differentials based on SEIFA and rurality differentials in national injuries data (2002) that presented at accident and emergency departments or were admitted. 

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Last updated: 12 March, 2009
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