![Page 1: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/1.jpg)
Trend and change analysis in an Australian
surveillance system
Associate Professor Anne TaylorSouth Australian Department of Health
University of Adelaide
Eleonora Dal Grande, Tiffany Gill, Zumin Shi Population Research & Outcome Studies, SA Health
Michele HerriotHealth Promotion, SA Health
![Page 2: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/2.jpg)
2
Background
• The importance of evidence to Health Promotion– Range of sources– Health surveys ► risk factor surveillance
• Flexibility• Addition of time• Seasonal trends• Trends over time
• Difference between surveys and surveillance - The ways things were vs the way things are changing
![Page 3: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/3.jpg)
3
Outline of presentation
• Surveillance in Australia• Examples/results from South
Australia• What challenges we face
![Page 4: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/4.jpg)
4
History of surveillance in Australia
South Australia
Northern Territory
Western Australia
Queensland
New South Wales
← Victoria
TasmaniaSurveillance systemNo surveillance systemAdaptation
![Page 5: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/5.jpg)
5
Surveillance in Australia
• COAG (Council of Australian Governments)– “Laying the foundations for healthy
behaviours in the daily lives of Australians”– ($A448.1m over 4 yrs) – reward payments
• National Partnership Agreement on Preventive Health
![Page 6: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/6.jpg)
6
Surveillance in Australia
• CATI infrastructure ($A10m over 4 yrs)– National consistency
• Questions• Measurement• Sampling frame
– Minimum sample sizes
• Indicators (adults & children)- Fruit & vegetables- Physical activity- Healthy weight- Smoking
![Page 7: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/7.jpg)
7
South Australian Monitoring & Surveillance System (SAMSS)
• Commenced July 2002– Continuous chronic disease and risk
factor surveillance system– CATI (Computer Assisted Telephone
Interviews)
– n = 600 per month– Random selection of South Australians
of all ages (0+ years)
![Page 8: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/8.jpg)
8
Sampling
• Australia– Electronic White Pages
• 2004 privacy legislation
– Random Digit Dialling
• All telephone numbers included in IPND (Integrated Public Number Database)– (fixed line, mobile, public/private payphone,
freecall) included in 1 database (listed and unlisted)
![Page 9: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/9.jpg)
9
Data use
•Prevalence, change in estimates, trends
•Description of at risk populations•Geographic distribution of
illness/risk factors•Detecting epidemics•Generating hypotheses•Facilitating planning
![Page 10: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/10.jpg)
10
Data use
•Importance of continuous data collection– Provide trends– Timeliness– Aggregation over time
![Page 11: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/11.jpg)
11
Fruit and vegetable consumption
![Page 12: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/12.jpg)
12
Mean Serves of Mean serves of fruit per day – Adults aged 18 years and over
Data Source: SAMSS 2003-2009
.00
.25
.50
.75
1.00
1.25
1.50
1.75
2.00
2.25
2.50
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Mea
n S
erve
s
![Page 13: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/13.jpg)
13
Mean serves of fruit per day – Children aged 5 to 17 years
Data Source: SAMSS 2003-2009
.00
.25
.50
.75
1.00
1.25
1.50
1.75
2.00
2.25
2.50
2.75
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Me
an
Se
rve
s
![Page 14: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/14.jpg)
14
Mean Serves of Mean serves of vegetables per day – Adults aged 18 years and over
Data Source: SAMSS 2003-2009
.00
.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Mea
n S
erve
s
![Page 15: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/15.jpg)
15
Mean serves of vegetables per day – Children aged 5 to 17 years
Data Source: SAMSS 2003-2009
.00
.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Me
an
Se
rve
s
![Page 16: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/16.jpg)
16
Fruit and vegetable consumption campaign
• Go for 2&5 Campaign®
– Awareness raising and educating– Comprehensive media campaign May-
June 2005 – National and State based activities – $A100,000 in SA; Nationally $A4.75
million– “Go for 2&5 Fruit and Vegetable man”
events
![Page 17: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/17.jpg)
17
Fruit & vegetable consumption campaign
![Page 18: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/18.jpg)
18
Proportion eating 5+ serves vegetables/day (pre and post
campaign)
Data Source: SAMSS 2002-2010
05
10
15
20
P
reva
len
ce (
%)
Month
![Page 19: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/19.jpg)
19
Proportion eating 5+ serves vegetables/day
(pre and post campaign) by gender
Data Source: SAMSS 2002-2010
05
10
15
20
Male Female
P
reva
len
ce (
%)
MonthGraphs by sex
![Page 20: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/20.jpg)
20
Proportion eating 5+ serves vegetables/day
(pre and post campaign) by BMI
Data Source: SAMSS 2002-2010
05
10
15
20
Underweight/normal Overweight/obesity
P
reva
len
ce (
%)
Month
![Page 21: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/21.jpg)
21
Proportion eating 2+ serves fruit/day(pre and post campaign)
Data Source: SAMSS 2002-2010
01
02
03
04
05
06
0 P
reva
len
ce (
%)
Month
![Page 22: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/22.jpg)
22
Proportion eating 2+ serves fruit/day(pre and post campaign) by gender
Data Source: SAMSS 2002-2010
01
02
03
04
05
06
0
Male Female
P
reva
len
ce (
%)
MonthGraphs by sex
![Page 23: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/23.jpg)
23
Proportion eating 2+ serves fruit/day(pre and post campaign) by BMI
Data Source: SAMSS 2002-2010
01
02
03
04
05
06
0
Underweight/normal Overweight/obesity
P
reva
len
ce (
%)
Month
![Page 24: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/24.jpg)
24
Physical Activity
![Page 25: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/25.jpg)
25
Sufficient physical activity – Adults 18 years and over
0
10
20
30
40
50
60
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
(%)
Data source: SAMSS, age 18 years and over 2003 - 2009
![Page 26: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/26.jpg)
26
60 minutes of physical activity per day –
Children 5 to 15 years
0
2
4
6
8
10
12
14
16
18
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
(%)
Data source: SAMSS, age 15 - 15 years 2003 - 2009
![Page 27: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/27.jpg)
27
Proportion undertaking sufficient physical activity (adults)
Data Source: SAMSS 2003-2010
01
02
03
04
05
06
07
0 P
reva
len
ce (
%)
Month
![Page 28: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/28.jpg)
28
Proportion undertaking sufficient physical activity by BMI (adults)
Data Source: SAMSS 2003-2010
01
02
03
04
05
06
07
0
Underweight/normal Overweight/obesity
P
reva
len
ce (
%)
Month
![Page 29: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/29.jpg)
29
Proportion undertaking sufficient physical activity by gender (adults)
Data source: SAMSS, age 16 years and over 2003 - 2010
01
02
03
04
05
06
07
0
Male Female
P
reva
len
ce (
%)
Month
![Page 30: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/30.jpg)
30
Proportion undertaking sufficient physical activity by SEIFA (adults)
Data source: SAMSS, age 16 years and over 2003 - 2010
01
02
03
04
05
06
07
0
lowest/low/middle high/highest
P
reva
len
ce (
%)
Month
![Page 31: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/31.jpg)
31
Proportion undertaking sufficient physical activity by overall health
status (adults)
Data source: SAMSS, age 16 years and over 2003 - 2010
01
02
03
04
05
06
07
0
Fair/Poor Good/Very good/Excellent
P
reva
len
ce (
%)
Month
![Page 32: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/32.jpg)
32
Proportion undertaking sufficient physical activity by smoking status
(adults)
Data source: SAMSS, age 16 years and over 2003 - 2010
01
02
03
04
05
06
07
0
Non-/Ex-smoker Current smoker
P
reva
len
ce (
%)
Month
![Page 33: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/33.jpg)
33
Smoking
![Page 34: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/34.jpg)
34
Data source: SAMSS, age 16 years and over
Smoking – Adults aged 16 years and over
0
5
10
15
20
25
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
(%)
![Page 35: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/35.jpg)
35
Proportion of adults smoking
Data source: SAMSS, age 16 years and over 2002 - 2010
05
10
15
20
25
P
reva
len
ce (
%)
Month
![Page 36: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/36.jpg)
36
Proportion of adult smokers by gender
Data source: SAMSS, age 16 years and over 2002 to 2010
05
10
15
20
25
Male Female
P
reva
len
ce (
%)
MonthGraphs by sex
![Page 37: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/37.jpg)
37
Smoking policy and legislation
• Dec 2004– Smoke-free workplaces and public areas
except licensed hospitality venues
• May 2007 – Ban on smoking in cars with children under
16 years
• Nov 2007 – All public areas smoke-free, including
hospitality venues– Current policy targeting retail sales displays
![Page 38: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/38.jpg)
38
Proportion of adults reporting smoking undertaken in the home
Data source: SAMSS, age 16 years and over
05
10
15
20
25
P
reva
len
ce (
%)
Month
![Page 39: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/39.jpg)
39
Healthy Weight
![Page 40: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/40.jpg)
40
Data source: SAMSS, age 18 years and over
Unhealthy weight – Adults aged 18 years and over
0
10
20
30
40
50
60
70
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
(%)
![Page 41: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/41.jpg)
41
Unhealthy weight – Children aged 5 -17 years
Data source: SAMSS, age 5-17 years
0
5
10
15
20
25
30
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
(%)
![Page 42: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/42.jpg)
42
Proportion of adults reporting overweight/obese (BMI >25)
Data source: SAMSS, age 16 years and over
20
30
40
50
60
70
80
Pre
vale
nce
(%
)
July
2003
Janu
ary 2
004
July
2004
Janu
ary 2
005
July
2005
Janu
ary 2
006
July
2006
Janu
ary 2
007
July
2007
Janu
ary 2
008
July
2008
Janu
ary 2
009
July
2009
Janu
ary 2
010
Month
Actual Predicted 95% CI
![Page 43: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/43.jpg)
43
Proportion of adults reporting overweight/obese (BMI > 25) by
gender
Data source: SAMSS, age 16 years and over
20
30
40
50
60
70
80
July
2003
Janu
ary 2
004
July
2004
Janu
ary 2
005
July
2005
Janu
ary 2
006
July
2006
Janu
ary 2
007
July
2007
Janu
ary 2
008
July
2008
Janu
ary 2
009
July
2009
Janu
ary 2
010
July
2003
Janu
ary 2
004
July
2004
Janu
ary 2
005
July
2005
Janu
ary 2
006
July
2006
Janu
ary 2
007
July
2007
Janu
ary 2
008
July
2008
Janu
ary 2
009
July
2009
Janu
ary 2
010
Male Female
Actual Predicted 95% CI
Pre
vale
nce
(%
)
Month
Graphs by sex
![Page 44: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/44.jpg)
44
Proportion of adults reporting overweight/obese (BMI > 25) by age
Data source: SAMSS, age 16 years and over
2030
4050
6070
80
July
2003
July
2004
July
2005
July
2006
July
2007
July
2008
July
2009
July
2003
July
2004
July
2005
July
2006
July
2007
July
2008
July
2009
July
2003
July
2004
July
2005
July
2006
July
2007
July
2008
July
2009
<40 40-59 >=60
Actual Predicted 95% CI
Pre
vale
nce
(%
)
Month
Graphs by age
![Page 45: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/45.jpg)
45
Proportion of adults reporting overweight/obese (BMI > 25) by
income
Data source: SAMSS, age 16 years and over
2030
4050
6070
80
July
2003
July
2004
July
2005
July
2006
July
2007
July
2008
July
2009
July
2003
July
2004
July
2005
July
2006
July
2007
July
2008
July
2009
July
2003
July
2004
July
2005
July
2006
July
2007
July
2008
July
2009
High Low Not stated
Actual Predicted 95% CI
Pre
vale
nce
(%
)
Month
Graphs by income
![Page 46: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/46.jpg)
46
What challenges do we face?
• In Australia - continued harmonization– State-based system– Conflicting goals
• Aim of all surveillance systems– Improvement on health outcomes– Value for money– Use of data
An effective risk factor surveillance system will provide the evidence for change
![Page 47: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/47.jpg)
47
Challenges - Sampling
•Scientific•Known probability of selection•Random•Power•System approach•Population framework
•Limited by:– Needs/resources available
![Page 48: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/48.jpg)
48
Challenges - Questions
•Standards•Best practice guidelines•Question development
– Cognitive testing– Field testing
•Use of modules
•Flexibility but consistency•Reliability/validity
![Page 49: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/49.jpg)
49
Challenges
•In Australia -Too many different systems
•Harmonization-Questions (SNAPS)
•No national conference
•No governing committee-Informal vs formal
![Page 50: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/50.jpg)
50
Challenges - Data collection
•Telephones•Mixed mode•Regular & sustained•Issues
– Response rates– Cultural differences
•Importance of quality assurance in all aspects
![Page 51: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/51.jpg)
51
Challenges
•Dissemination– We have room for improvement– The use of the media & relationship
with media– Explore more options
•The power of collaboration– Partners
![Page 52: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/52.jpg)
52
Challenges - Sustainability/continuity
•Long term commitment - cost•Show a difference/make a
difference•Be useful as an evidence provider
![Page 53: Trend and change analysis in an Australian surveillance system Associate Professor Anne Taylor South Australian Department of Health University of Adelaide](https://reader033.vdocument.in/reader033/viewer/2022051819/5516395a550346a2308b636d/html5/thumbnails/53.jpg)
53
Contact Details
Anne Taylor
Population Research & Outcome Studies (PROS)
South Australian Department of Health
University of Adelaide
PROS Website:
http://www.health.sa.gov.au/PROS/