NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of Health.
Actual estimates are shown in the graph and table.
The indicator shows self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were weighted to adjust for differences in the probability of selection among respondents and were benchmarked to the estimated residential population using the latest available Australian Bureau of Statistics mid-year population estimates.Mobile phone numbers have been included since the 2012 survey (using an overlapping dual-frame design) because of diminishing coverage of the population by landline sampling frames (<85 % since 2010). Associations between mobile-only phone users and some health indicators, even after adjusting for age, sex and region, were observed in 2012. Thus significant differences that were observed between 2011 and 2012 should be reported with caution, as they will reflect both real and design changes. LL/UL 95%CI = lower and upper limits of the 95% confidence interval for the point estimate.
The indicator covering current smoking includes those who smoked daily or occasionally.
The question used to define the indicator was: Which of the following best describes your smoking status: smoke daily, smoke occasionally, do not smoke now but I used to, I have tried it a few times but never smoked regularly, or I have never smoked?
The NSW Ministry of Health has conducted the Adult Population Health Survey (since 1997) and the Child Population Health Survey (since 2001) through the New South Wales Population Health Survey, an ongoing survey of the health of people in NSW using computer-assisted telephone interviewing (CATI). The main aims of the surveys are to provide detailed information on the health of adults and children in NSW and to support planning, implementation and evaluation of health services and programs in NSW.
The survey instruments include question modules on health behaviours, health status, and other associated factors. The methods and all questions are approved for use by the NSW Population and Health Services Research Ethics Committee. While some questions are collected annually, other questions are collected less frequently. The instrument is translated into 5 languages: Arabic, Chinese, Greek, Italian and Vietnamese.
The target population for the survey is all state residents living in private households. The target sample was approximately 1,000 persons in each of the health administrative areas (total sample 8,000-16,000 depending on the number of administrative areas).
From 1997 to 2010 the random digit dialling (RDD) landline sampling frame was developed as follows. Records from the Australia on Disk electronic white pages (phone book) were geo-coded using MapInfo mapping software. The geo-coded telephone numbers were assigned to statistical local areas and area health services. The proportion of numbers for each telephone prefix was calculated by area health service. All prefixes were expanded with suffixes ranging from 0000 to 9999. The resulting list was then matched back to the electronic phone book. All numbers that matched numbers in the electronic phone book were flagged and the number was assigned to the relevant geo-coded area health service. Unlisted numbers were assigned to the area health service containing the greatest proportion of numbers with that prefix. Numbers were then filtered to eliminate continuous non-listed blocks of greater than 10 numbers. The remaining numbers were then checked against the business numbers in the electronic phone book to eliminate business numbers.
From 2011 onwards the RDD landline sampling frame was developed as follows: Australian Communications and Media Authority exchange district and charge zone prefixes were generated for each of the strata (that is Local Health Districts introduced in January 2011) using “best fit” postcode (ACMA 2011). All prefixes were expanded with suffixes ranging from 0000 to 9999. The sample was then randomly ordered within each stratum. The estimated numbers required for each stratum was then forwarded to Sampleworx, who used proprietary software to test each numbers current status (valid, invalid or unknown and business, non-business or unknown). The resulting valid non-business and valid unknown numbers were used for the survey.
From 2012 onwards mobile only phone users were included into the surveys using an overlapping dual-frame design, which incorporates three groups of respondents: landline only users, mobile only users and landline and mobile users.
The RDD mobile sampling frame was developed by Sampleworx and included using all known Australian mobile prefixes. Sampleworx used proprietary software to test each number to identify valid and invalid numbers. A random sample of valid mobile numbers was then provided for use for the survey.
The introduction of this design was prompted by the increasing numbers of mobile-only phone users in the general population. Because this design increases the representativeness of the survey sample the production of unbiased estimates over time is also improved. This improvement has been confirmed by an analysis of unweighted estimates, which indicated that a greater proportion of younger people, of males, and of people born overseas participated in the mobile sample compared with the landline sample. Further, comparison of the demographic characteristics of the survey sample for the first quarter of 2012 with the NSW population showed that the NSW Population Health Survey was more representative of the NSW population than the previous sample (Barr et al. 2012).
Due to this change in design, the 2012 NSW PHS estimates reflect both changes that have occurred in the population over time and changes due to the improved design of the survey.
When considering significant differences over time excluding the 2010 and 2011 data points ensures that all of the estimates are from sampling frames that had adequate coverage of the population, that is 85% or more.
When the Australia on Disk electronic white pages became available, reliable introductory letters were sent to the selected households (1997 to 2008). Households were contacted using random digit dialling. Depending on the frame either one person from the household was randomly selected or the mobile phone holder was selected for inclusion in the survey.
Interviews are carried out continuously between February and December each year. An 1800 freecall contact number and website details are provided to potential respondents, so they can verify the authenticity of the survey and ask any questions regarding the survey. Trained interviewers at the Health Survey Program CATI facility carried out interviews until the end of 2014. For 2015, the NSW Population Health Survey was outsourced to McNair Ingenuity Research Pty Ltd, which is a social and market research company. All protocols related to the collection of respondent data have been implemented by McNair. Up to 7 calls were made to establish initial contact with a household, and up to 5 calls were made in order to contact a selected respondent. Adult respondents living in households with children are offered to opportunity to complete an interview about their children. At present, approximately 5% of all primary adult respondents take up this option. If a parent completing an interview about their children is unsure of their child’s height and/or weight, the respondent is offered the opportunity to be contacted at a later date for this information.
For analysis, the survey sample was weighted to adjust for differences in the probabilities of selection among respondents. Post-stratification weights were used to reduce the effect of differing non-response rates among males and females and different age groups on the survey estimates. These weights were adjusted for differences between the age and sex structure of the survey sample. Population data based on Australian Bureau of Statistics estimates and population projections based on data from the NSW Department of Planning and Infrastructure have been used to calibrate weights to the population within each health administrative area. and the Australian Bureau of Statistics latest mid-year population estimates (excluding residents of institutions) for each health administrative area.
Call and interview data were manipulated and analysed using SAPHaRI andSAS version 9.4 (SAS). The Taylor series expansion method was used to estimate sampling errors of estimators based on the stratified random sample. The 95 per cent confidence interval provides a range of values that should contain the actual value 95 per cent of the time.
Estimates were smoothed using least-squares spline transformation (CEE, Adult survey methods: web page).
Further information on the methods and weighting process is provided elsewhere (CEE, Child survey methods: web page).
Australian Communications and Media Authority (ACMA). Communications report 2010-11 series: Report 2 – Converging communications channels: Preferences and behaviours of Australian communications users. Commonwealth of Australia, 2011. Available at www.acma.gov.au/webwr/_assets/main/lib410148/report2-convergent_comms.pdf
Barr ML, Ritten JJ, Steel DG, Thackway SV. ‘Inclusion of mobile phone numbers into an ongoing population health survey in New South Wales, Australia: design, methods, call outcomes, costs and sample representativeness’. BioMed Central: Medical Research Methodology 2012, 12:177 (22 November, 2012). Available at www.biomedcentral.com/1471-2288/12/177.
Centre for Epidemiology and Evidence. NSW Adult Population Health Survey Methods. CEE, NSW Ministry of Health. http://www.health.nsw.gov.au/surveys/adult/Pages/default.aspx
Centre for Epidemiology and Evidence. NSW Child Population Health Survey Methods. CEE, NSW Ministry of Health. http://www.health.nsw.gov.au/surveys/child/Pages/default.aspx
PitneyBowes Software. MapInfo (software). PBS as MapInfo Corporation: version 1997. Available at www.pbinsight.com.au
Sampleworx Pty Ltd. Available at www.sampleworx.com.au.html
SAS Institute. The SAS System for Windows version 9.3 (software). Cary, NC: SAS Institute Inc., 2011. Available at www.sas.com
United Directory Systems. Australia on Disk (software). UDS: version 2004. Available at: www.uniteddirectorysystems.com
Data from the NSW Population Health Survey is used to measure the NSW State government targets on reducing smoking in the population and is comparable with other sources of information on smoking in NSW.
• 13.5% of adults aged 16 years and over (15.5% of men and 11.6% of women) were current (daily or occasional) smokers, as estimated from the 2015 NSW Adult Population Health Survey (self-reported using Computer Assisted Telephone Interviewing or CATI).
• 15.4% of persons aged 15 years and over (18.8% of males and 12.1% of females) in NSW were current smokers (defined as daily, at least once a week or less than weekly), as estimated from the 2014-15 Australian Health Survey (interviewer-administered questionnaire).
• 9.3% of mothers smoked during pregnancy in 2014, as reported to the NSW Perinatal Data Collection.
• 6.7% of students aged 12-17 years (7.1% of boys and 6.3% of girls) were current smokers, as estimated from the 2014 NSW School Students Health Behaviours Survey (self-completed questionnaire).
Under: Latest information for Aboriginal people as the first dot point:
• 34.9% of Aboriginal adults aged 16 years and over were current smokers as estimated from the 2015 NSW Adult Population Health Survey (self-reported using CATI).
• 45.2% of Aboriginal mothers smoked during pregnancy in 2014, as reported to the NSW Perinatal Data Collection.
Self-reported data on current smoking have been collected for adults in NSW since 1997 through the NSW Population Health Survey, since 1977-78 through the National Health Survey (from 1995), since 1985 through the National Drug Strategy Household Survey, and since 2011 through the Australian Health Survey.
Self-reported data on current smoking have been collected for students in NSW since 1984 through the NSW School Students Health Behaviours Survey.
Prevalence estimates, although differing slightly between surveys because of different sampling frames, participation rates and modes of collection (telephone, self-completed questionnaires, face-to-face personal interview and drop-and-collect) have all been decreasing over time.
A total of 46,335 hospitalisations were attributed to smoking in NSW in 2013-14, which was approximately 1.6% of all hospitalisations.
The rate of hospitalisations attributable to smoking decreased in males by almost 23% but remained stable in females in NSW between 2001-02 and 2013-14.
The rate of hospitalisations attributable to smoking increased in both Aboriginal males and Aboriginal females in the period between 2001-02 and 2011-12. In recent years, the rates have remained stable.
A total of 5,460 deaths were attributed to smoking in NSW in 2013, which was approximately 11.1% of all deaths in 2012.
The rate of death attributable to smoking has been declining in the decade up to 2013; the decline was much greater in males (about 32%) than in females (about 17%) but it occurred from a much higher base in males. In 2013, the rate of death attributable to smoking in males and females were 85.3 and 40.7 deaths per 100,000 population, respectively .
Centre for Epidemiology and Evidence, NSW Ministry of Health. NSW Population Health Surveys. Available at: http://www.health.nsw.gov.au/surveys/pages/default.aspx
Australian Institute of Health and Welfare. National Drug Strategy Household Survey report. Available at: http://www.aihw.gov.au/alcohol-and-other-drugs/ndshs/
Australian Bureau of Statistics. Australian Health Survey. Available at: http://www.abs.gov.au/australianhealthsurvey
Tobacco smoking is one of the biggest causes of premature death and is a leading preventable cause of chronic disease in New South Wales. It is a major risk factor for cardiovascular disease, a range of cancers, chronic obstructive pulmonary disease, coronary heart disease and a variety of other diseases and conditions. Approximately one in five of all cancer deaths are due to tobacco smoking.
There is a no safe level of exposure to second-hand tobacco smoke. In adults, breathing second-hand smoke can increase the risk of heart disease, lung cancer and other lung diseases. It can worsen the effects of existing illnesses such as asthma and bronchitis. For children, inhaling second-hand smoke is even more dangerous. Children are more likely to suffer health problems due to second-hand smoke such as bronchitis, pneumonia and asthma.
Australia has one of the most comprehensive tobacco control policies and programs in the world. The aim of the tobacco control programs in NSW is to contribute to a continuing reduction of smoking prevalence rates in the community.
Information on NSW Health tobacco and smoking control programs and policies is available at: http://www.health.nsw.gov.au/tobacco.
Cancer Institute at: https://www.cancerinstitute.org.au/
I Can Quit at http://www.icanquit.com.au
Information on NSW Health programs and policies is available at http://www.health.nsw.gov.au/tobacco.
Australian Bureau of Statistics at http://www.abs.gov.au
Australian Institute of Health and Welfare at http://www.aihw.gov.au
I Can Quit at http://www.icanquit.com.au