Statistical analysis
Analyses were performed using SAS software Version 9.2
(SAS Institute Inc., Cary, NC, USA). Logistic regression
within a generalised estimating equation framework was
used to assess change in program, campaign and message
awareness over time in HNE compared to NSW. For each
region, a model was run to assess change from pre- to immediately
post-campaign and from pre-campaign to the
end of the program. Models had terms for time, region
and the interaction of time and region. The p-value from
the interaction term was used to determine if there was a
statistically significant change in awareness between regions
over time. The regression models adjusted for
differences in socio-demographic characteristics (country
of birth, ethnicity (Aboriginal/Torres Strait Islander
or non-Aboriginal), educational attainment and rural
living) between the regions. Data from the final telephone
survey was used to assess bivariate associations
between program awareness and awareness of each of
the campaigns with the socio-demographic characteristics
of gender, age (40 years), locality,
(urban cf. rural), education (tertiary cf. secondary or
lower) and ethnicity (Aboriginal and Torres Strait Islander
cf. non-Aboriginal) using chi square. All statistical
tests were 2-tailed with an alpha of 0.05.