National Indigenous Reform Agreement: PI 08Tobacco smoking during pregnancy, 2014
Identifying and definitional attributes  
Metadata item type:  Indicator 

Indicator type:  Indicator 
Short name:  PI 08Tobacco smoking during pregnancy, 2014 
METEOR identifier:  525835 
Registration status: 

Description:  Proportion of mothers who smoked during pregnancy, by Indigenous status. 
Rationale:  Smoking during pregnancy can affect the growth and development of the fetus and infant and can carry though to childhood. 
Indicator set:  National Indigenous Reform Agreement (2014) Indigenous, Superseded 24/11/2014 
Outcome area:  Indigenous children are born and remain healthy Indigenous, Standard 21/07/2010 
Quality statement:  National Indigenous Reform Agreement: PI 08Tobacco smoking during pregnancy, 2014 QS Indigenous, Superseded 17/02/2016 
Collection and usage attributes  
Computation description:  Crude rates are calculated for Indigenous Australians. Agestandardised rates are calculated for Indigenous and nonIndigenous Australians. Rate ratios and rate differences are calculated for Indigenous: nonIndigenous. For variability bands: Variability bands are to be calculated for rates using the standard method (see definition below). For trends: percentage change and statistical significance of change is to be calculated (required for CRC reporting). Presentation: Number, rate per 100 women who gave birth (percentage), rate ratios, and rate differences. Analysis by state/territory is based on usual residence of the mother. Excludes Australian nonresidents of external territories and where state/territory of residence was not stated. Definitions: 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 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% confidence intervals 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 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 (e.g. 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, i.e. there is no systematic bias. 

Computation:  Crude rate: 100 x (Numerator ÷ Denominator). Agestandardised rate: calculated using the direct method, using five year age groups from 1519 to 4044 using the Australian female population who gave birth in the current reporting period as the standard. Agestandardisation should be done in accordance with the NIRAPIMG agreed principles for direct agestandardisation (see Comments section. Note that Principle 1 and Principle 4 are not applicable for this indicator). 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% confidence intervals as follows: Crude rate: Where CR = crude rate n = Denominator used to calculate crude rate Agestandardised rate: Where w_{i} = the proportion of the standard population in age group i d_{i} = the number of mothers who smoked during pregnancy in age group i n_{i} = the number of women who gave birth that year 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 was 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% confidence intervals (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% confidence intervals 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 women who smoked during pregnancy 
Numerator data elements:  
Denominator:  Total number of women who gave birth with known smoking status during pregnancy. 
Denominator data elements:  
Disaggregation:  Current Period (2011): For Indigenous only (numbers and crude rates):
Time series – 2007, 2008, 2009, 2010 (the data for these years have been previously supplied); 2011 (required for 2014 reporting): For Indigenous and nonIndigenous (numbers, agestandardised rates, rate ratio, rate difference, and percentage change. Variability bands and statistical significance of change to be provided by the AIHW):

Disaggregation data elements:  
Comments:  Most recent data available for 2014 CRC report is 2011. There were no data elements in the Perinatal national minimum data set (NMDS) for maternal smoking in pregnancy prior to July 2010. A program for national data development was completed in 2009 to add nationally agreed data items on smoking during pregnancy to the Perinatal NMDS from 1 July 2010. For earlier time periods nonstandardised information is obtained as part of the National Perinatal Data Collection (NPDC). Data were available for 2013 and 2012 reporting for all states and territories. For the 2010 and 2011 CRC reports, data were available for NSW, Queensland, WA, SA, Tasmania, NT and ACT. Information is included in the NPDC for all live births and still births of at least 400 grams birthweight or at least 20 weeks gestation. Analysis by state/territory is based on usual residence of the mother. Maternal age is the age at the time of giving birth. To report trends, the COAG Reform Council will separately request percentage change and statistical significance testing for this indicator directly from the data provider (AIHW). Variability bands accompanying perinatal data should be used for the purposes of comparisons over time and for national estimates at a point in time for Indigenous/nonIndigenous comparisons. Baseline year for NIRA target (Halve the child mortality gap within a decade) is 2008; baseline year for this indicator is 2007; target year is 2018. NIRAPIMG agreed Principles for reporting directly agestandardised rates for administrative data 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 until population estimates from the 2011 Census become available. The population used as the denominator for the calculation of Indigenous agestandardised rates should be SERIES B of Indigenous experimental estimates and projections 2006 to 2021 based on the 2006 Census until population estimates from the 2011 Census become available. Principle 2: If the denominator is less than 30 in any one age group, then do not attempt to produce agestandardised rates. Agegroups may be collapsed to obtain a denominator of 30 or more (provided that this is in accordance with principle 3 and 4). Principle 3: If the total number of Indigenous events (e.g. 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 (i.e. data are required for time series or jurisdictional comparisons), or does not result in greater than 20 events in total, 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 five year age groupings of 04 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 (20 year 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 (e.g. deaths from a certain cause concentrate on younger ages for Indigenous population while for nonIndigenous they may occur at older ages). c) the agespecific rates depart from the assumption of a uniform increase in death with age (e.g. injury which peaks in the young adult to middleages and certain cancers amenable to treatment for some age groups). d) the condition of interest is largely confined to a specific age range (e.g. sexually transmitted infections (STIs) and women 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 (e.g. conditions originating in the perinatal period and sudden infant death syndrome (SIDS)), it is recommended to report the agespecific rate for the agegroup of interest instead of the agestandardised rate. 
Representational attributes  
Representation class:  Percentage 
Data type:  Real 
Unit of measure:  Person 
Format:  NN.N 
Indicator conceptual framework  
Framework and dimensions:  Health Behaviours 
Data source attributes  
Data sources:  AIHW National Perinatal Data Collection (NPDC) Frequency Calendar years ending 31 December each year Data custodian Australian Institute of Health and Welfare 
Accountability attributes  
Reporting requirements:  National Indigenous Reform Agreement. 
Organisation responsible for providing data:  Australian Institute of Health and Welfare. 
Further data development / collection required:  Specification: Longterm. 
Source and reference attributes  
Steward:  National Indigenous Reform Agreement Performance Information Management Group 
Relational attributes  
Related metadata references:  Supersedes National Indigenous Reform Agreement: PI 08Tobacco smoking during pregnancy, 2013
Has been superseded by National Indigenous Reform Agreement: PI 08Tobacco smoking during pregnancy, 2015

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