National Indigenous Reform Agreement: PI 02Mortality rate by leading causes, 2020
Identifying and definitional attributes  
Metadata item type:  Indicator 

Indicator type:  Indicator 
Short name:  PI 02Mortality rate by leading causes, 2020 
METeOR identifier:  718472 
Registration status:  Indigenous, Endorsed 17/11/2019 
Description:  Mortality rates for Australians by leading causes of death (International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD10) (2015 version) chapter level), by Indigenous status. 
Rationale:  Achieving the Closing the Gap target of closing the life expectancy gap within a generation requires monitoring mortality rates for different diseases, so that it is understood which diseases are major contributors to mortality among Indigenous Australians, and where programs are succeeding and where they are not. 
Indicator set:  National Indigenous Reform Agreement (2020) Indigenous, Endorsed 23/08/2019 
Outcome area:  Indigenous Australians achieve health outcomes comparable to the broader population Indigenous, Endorsed 21/07/2010 
Collection and usage attributes  
Computation description:  Mortality rates for Australians by the leading causes of death, by Indigenous status. Crude rates are calculated for Indigenous Australians. Agestandardised rates are calculated for Indigenous and nonIndigenous Australians. Rate ratios and rate differences are calculated for comparisons between Indigenous and nonIndigenous Australians (using agestandardised rates). Note: Causes of death to be listed from highest to lowest Indigenous percentage for the most recent period (5 years combined). Variability bands are to be calculated for rates (single year data and national data for 5 years combined) using the standard method (see 'Definitions' below). Reporting is only for those jurisdictions which have adequate levels of Indigenous identification (New South Wales, Queensland, Western Australia, South Australia and the Northern Territory from 1998). For trends: Percentage change and statistical significance of change are to be calculated (required for assessment of progress over time as an annual proxy measure against life expectancy target). Excludes deaths where Indigenous status was not stated. Where age is not stated, prorating should be applied. Presentation: Number, percentage, rate per 100,000 persons; rate ratios, rate differences, variability bands; and causes of death (as per list contained in ‘Definitions’ below) listed from highest to lowest Indigenous percentage. Definitions: This measure refers to ‘leading causes of death’. Data are provided for ‘selected causes of death’ according to the ICD10 codes used for ‘leading causes of death’ in the Aboriginal and Torres Strait Islander Health Performance Framework (AIHW 2017):
For single year data, the following top 5 causes of death are to be reported:
The top 5 causes of death need to be reassessed each reporting period. If a change is identified, data may need to be backcast to the baseline year for the most recent set of top 5 causes to ensure a consistent time series. Standard method for variability band computation: Rates derived from administrative data counts are not subject to sampling error but may still be subject to natural random variation, especially for small counts. A 95% confidence interval (CI) for an estimate is a range of values which is very likely (95 times out of 100) to contain the true unknown value. Where the 95% CIs of two estimates do not overlap it can be concluded that there is a statistically significant difference between the two estimates. This is the standard method used in Australian Institute of Health and Welfare (AIHW) publications for which formulas can be sourced from Breslow and Day (1987) in the publication Statistical methods in cancer research. Typically in the standard method, the observed rate is assumed to have natural variability in the numerator count (for example, deaths, hospital visits) but not in the population denominator count. Also, the rate is assumed to have been generated from a normal distribution ('Bell curve'). Random variation in the numerator count is assumed to be centred around the true value; that is, there is no systematic bias. 
Computation:  Mortality rates: Crude percentage: number of deaths by cause divided by all deaths. Crude rate: 100,000 x (Numerator ÷ Denominator). Agestandardised rate: calculated using the direct method using fiveyear age groups from 0–4 to 75 years and over, with the Australian standard population as at 30 June 2001 as the standard. Agestandardisation should be done in accordance with the National Indigenous Reform Agreement Performance Information Management Group (NIRAPIMG) agreed principles for direct agestandardisation (see the Comments section below). Rate ratio: Indigenous agestandardised rate divided by nonIndigenous agestandardised rate Rate difference: Indigenous agestandardised rate minus nonIndigenous agestandardised rate Variability band: to be calculated using the standard method for estimating 95% CIs as follows: Crude rate: Where CI = confidence interval CR = crude rate d = the number of deaths Agestandardised rate: Where CI = confidence interval ASR = agestandardised rate w_{i} = the proportion of the standard population in age group i d_{i} = the number of deaths in age group i n_{i} = the number of people in the population in age group i Percentage change: Calculated by multiplying the average annual change over the period by the number of data points less 1. This is then divided by the rate for the first year in the series and multiplied by 100. The average annual change in rates, rate ratios and rate differences are calculated using linear regression which uses the least squares method to calculate a straight line that best fits the data and returns an array that best describes the line. The simple linear regression line, Y = a + bX, or ‘slope’ estimate is used to determine the average annual change in the data over the period. The formula used to calculate the slope estimate and standard error of the slope in Microsoft Excel is: LINEST: (known_y’s, known_x’s, true) entered as an array formula (Ctrl, Shift, Enter). Statistical significance of change: The 95% CIs for the standard error of the slope estimate (average annual change) are used to determine whether the apparent increases or decreases in the data are statistically significant at the p<0.05 level. The formula used to calculate the CIs for the standard error of the slope estimate is: 95% CI(x) = x ± 1.96 x SE(x) where x is the average annual change (slope estimate). If the upper and lower 95% CIs do not include zero, then it can be concluded that there is statistical evidence of an increasing or decreasing trend in the data over the study period. 
Numerator:  Number of deaths. 
Numerator data elements:  
Denominator:  Total number of all people in relevant population at 30 June. 
Denominator data elements:  
Disaggregation:  Reporting is only for those jurisdictions which have adequate levels of Indigenous identification (New South Wales, Queensland, Western Australia, South Australia and the Northern Territory from 1998). Current period  2014–2018 (both all causes and specific causes of death). For Indigenous Australians only (crude rates, and percentage):
For Indigenous and nonIndigenous Australians (agestandardised rates, rate ratios and rate differences):
Time series  Cause of death: 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 (historical data available previously), 2015 (final revision), 2016 (preliminary revision) and 2017 (preliminary), 2018 (current). All causes of death: 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017 (historical data available previously), 2018 (current). For Indigenous and nonIndigenous (agestandardised rates, rate ratios, rate differences, variability bands, percentage change and statistical significance of change):

Disaggregation data elements:  
Comments:  Most recent data available for the 2020 National Indigenous Reform Agreement Report (2018–19 reporting cycle) is 2018 for both all causes and specific causes of death. Up until the 201516 reporting cycle, causes of death data lagged a year behind the all causes data. Data are based on reference year. Aggregated data for all causes and by causes of death will be used for the current reporting period (2014–2018). Single year data will be used for time series (2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017 and 2018). Data for the years pre 2018 for all causes have been supplied previously. Data for specific cause of death pre 2018 have been supplied previously but for this cycle data are resupplied for 2015 (final revision) and 2016 (preliminary revision) and 2017 (preliminary). Crude and age standardised rates pre 2018 have been supplied previously but for this cycle are resupplied for: 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016 and 2017 to incorporate final rebased ERP and Aboriginal and Torres Strait Islander population estimates (based on the 2016 Census). Disaggregation by Indigenous status will be based on data only from jurisdictions for which the quality of Indigenous identification is considered acceptable. At this stage, only data from selected states/territories are considered of acceptable quality for reporting mortality of Indigenous persons (New South Wales, Queensland, Western Australia, South Australia and the Northern Territory from 1998). National rates should include these five jurisdictions only. Disaggregation by state/territory should be based on the usual residence of the deceased. Due to the small number of Indigenous deaths reported each year, 5 year combined data will be reported for the current reporting period (computation for 5 year combined is average of 5 years for the numerator and use of midpoint year for the denominator). Single year data will be used for reporting time series. To report trends, the assessment body should separately request percentage change and statistical significance testing for this indicator directly from the AIHW on data supplied by the Australian Bureau of Statistics (ABS). Variability bands accompanying mortality data should be used for the purpose of comparisons over time, and for national estimates at a point in time for Indigenous/nonIndigenous and cause of death comparisons. They should not be used for comparing mortality rates at a single point in time between jurisdictions as the variability bands and mortality rates do not take into account differences in underidentification of Indigenous deaths between jurisdictions. Baseline year for the Council of Australian Governments' Closing the Gap target (Close the life expectancy gap within a generation) is 2006 using the threeyear average of 2005–2007; baseline year for this indicator is 2006; target year is 2031. Measures are derived from estimated resident populations (ERPs) and projections based on the 2016 Census. The nonIndigenous population will be calculated based on the ERP total population minus 2016 Censusbased Indigenous population backcast and projections. First release total population ERP is to be used until rebased. Rates may not be comparable with overall rates reported elsewhere in national reporting. NIRAPIMG agreed Principles for reporting directly agestandardised rates for administrative data are as follows: Overarching principle: Before undertaking agestandardisation, analysts must investigate the data being used to understand the agespecific distribution and any limitations that may impact on the results. Principle 1: The standard population used should be the Australian estimated resident population as at 30 June 2001 from the 2001 Census. The population used as the denominator for the calculation of Indigenous agestandardised rates should be Series B of Indigenous estimates and projections. Principle 2: If the denominator is less than 30 in any one age group, then do not attempt to produce agestandardised rates. Age groups may be collapsed to obtain a denominator of 30 or more (provided that this is in accordance with Principles 3 and 4). Principle 3: If the total number of Indigenous events (for example, deaths, hospital separations) is less than 20, then do not attempt to produce agestandardised rates. Combining several years of data or aggregating jurisdictions should be considered to obtain a total of 20 or more events. If this does not meet the purpose (that is, data are required for time series or jurisdictional comparisons) or does not result in a total of 20 or more events, then other measures and contextual information should be reported instead of agestandardised rates which could include total number of events, crude rates, agespecific rates, agespecific rate ratios and median age at death. Principle 4: Agestandardised rates should be calculated using the 5year age groupings of 0–4 years to 75 years and over (provided Principles 2 and 3 for denominator and numerator are met). 10year age groups may be used to overcome small numbers (20year age groups are too wide and should not be used). Principle 5: Additional contextual information (most importantly agespecific rates and ratios) should be provided in addition to agestandardised rates when: a) the agestandardised rates and rate ratios lie largely outside the range of the agespecific rates and rate ratios b) the pattern of agespecific rates of the Indigenous and nonIndigenous populations differ substantially (for example, deaths from a certain cause concentrate on younger ages for the Indigenous population while for the nonIndigenous population, they may occur at older ages) c) the agespecific rates depart from the assumption of a uniform increase in death with age (for example, injury which peaks in the young adult to middle ages and certain cancers amenable to treatment for some age groups) d) the condition of interest is largely confined to a specific age range (for example, sexually transmitted infections (STIs) and females who give birth). In such instances, agestandardisation could be restricted to include the age groups within this age range only. Principle 6: For conditions restricted to a specific age group (for example, conditions originating in the perinatal period and sudden infant death syndrome (SIDS)), it is recommended to report the agespecific rate for the age group of interest instead of the agestandardised rate. 
Representational attributes  
Representation class:  Rate 
Data type:  Real 
Unit of measure:  Person 
Format:  N[NN].N 
Indicator conceptual framework  
Framework and dimensions:  Deaths 
Data source attributes  
Data sources:  
Accountability attributes  
Reporting requirements:  National Indigenous Reform Agreement. 
Organisation responsible for providing data:  Australian Bureau of Statistics 
Further data development / collection required:  Improve the quality of Indigenous identification in deaths data. 
Source and reference attributes  
Submitting organisation:  Australian Institute of Health and Welfare 
Steward:  National Indigenous Reform Agreement Performance Information Management Group 
Reference documents:  AIHW (Australian Institute of Health and Welfare) 2017. Aboriginal and Torres Strait Islander Health Performance Framework data. Canberra: AIHW. Viewed 15 June 2017, http://www.aihw.gov.au/indigenousdata/healthperformanceframework/ Breslow NE & Day NE (eds) 1987. Statistical methods in cancer research. Volume II: The design and analysis of cohort studies. IARC Scientific Publications No. 82. Lyon, France: International Agency for Research on Cancer. Viewed 14 June 2019, http://publications.iarc.fr/BookAndReportSeries/IarcScientificPublications/StatisticalMethodsInCancerResearchVolumeIITheDesignAndAnalysisOfCohortStudies1986 
Relational attributes  
Related metadata references:  Supersedes National Indigenous Reform Agreement: PI 02Mortality rate by leading causes, 2019 Indigenous, Archived 17/11/2019 
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