Table 3

Multi-variate analysisa regarding characteristics associated with assessment, and brief advice for individual risks, 2009–10, NSW, Australia
Variables included in the final regression modelsb Assessment (N = 1284)c Brief advice
OR (95% CI) p n (%) OR (95% CI) p
Smoking
Service type <.001 N = 175 <.001
  Aged care 1.8 (1.0 – 3.2)* 2 (1.1) 1.8 (0.1 – 32.7)
  Community child and family healthd 4.4 (2.8 - 6.9)* 31 (17.7) 7.7 (2.5 - 23.9)*
  Community nurses and other nursing services 1.5 (1.1 – 2.1)* 55 (31.4) 3.2 (1.2 – 8.5)*
  Diabetes 14.5 (6.5 – 32.6)* 13 (7.4) 68.6 (7.4- 636.2)*
  Othere 4.3 (2.6 - 7.0)* 20 (11.4) 14.0 (1.9 – 100.8)*
  Allied health 1.0 54 (30.9) 1.0
Gender .002 -
  Male 1.6 (1.2 - 2.1)* - -
  Female 1.0 - -
Fruit or vegetables
Service type <.001 N = 1037 <.001
  Aged care 2.2 (1.1 – 4.2)* 55 (5.3) 1.2 (0.4 – 2.9)
  Community child and family healthd 1.1 (0.6 – 1.9) 169 (16.3) 0.9 (0.5 – 1.8)
  Community nurses and other nursing services 2.1 (1.4 – 3.2)* 348 (33.6) 1.5 (0.9 – 2.5)
  Diabetes 20.6 (10.9 – 39.1)* 81 (7.8) 13.7 (6.8- 27.3)*
  Othere 3.4 (2.1 – 5.6)* 144 (13.9) 3.8 (2.1 – 6.9)*
  Allied health 1.0 240 (23.1) 1.0
Aboriginality - N = 1035 0.006
  Yes, Aboriginal and/or Torres Strait Islander - 39 (3.8) 3.1 (1.4 – 7.2)*
  No - 996 (96.2) 1.0
Alcohol
Service type <.001 N = 289 <.001
  Aged care 1.6 (0.9 – 2.8) 14 (4.8) 0.4 (0.1 – 2.3)
  Community child and family healthd 2.4 (1.4 - 4.0)* 25 (8.7) 0.6 (0.2 – 2.0)
  Community nurses and other nursing services 1.0 (0.7 – 1.4) 81 (28.0) 0.6 (0.2 – 1.3)
  Diabetes 11.6 (5.6 –24.4)* 26 (9.0) 10.6 (3.1- 36.3)*
  Othere 3.8 (2.4 – 6.0)* 58 (20.1) 1.1 (0.5 – 2.7)
  Allied health 1.0 85 (29.4) 1.0
Times client seen in last 12 months <.001 -
  12+ 0.7 (0.5 – 1.1) - -
  5-11 0.5 (0.3 - 0.7)* - -
  2-4 0.9 (0.6 – 1.3) - -
  1 1.0 -
SEIFA Index of Disadvantagef .010 -
  Higher NSW half [≤991] 1.6 (1.1 – 2.2)* - -
  Lower NSW half [>991] 1.0 - -
Employment 0.005 -
  Employed 0.9 (0.6 – 1.4) - -
  Unemployed (or unable to work due to health) 2.2 (1.4 – 3.4)* - -
  Other (e.g. Student, Home Duties) 0.8 (0.5 – 1.4) - -
  Retired 1.0 - -
Physical activity
Service type <.001 N = 361 <.001
  Aged care 0.9 (0.5 – 1.7) 16 (4.4) 0.4 (0.1 – 1.7)
  Community child and family healthd 0.4 (0.3- 0.7)* 82 (22.7) 0.5 (0.3 – 1.1)
  Community nurses and other nursing services 0.4 (0.2 – 0.5)* 92 (25.5) 0.6 (0.3 – 1.3)
  Diabetes 8.1 (4.0 –16.4)* 41 (11.4) 6.8 (2.4- 19.3)*
  Othere 2.1 (1.3 – 3.3)* 52 (14.4) 2.5 (1.1 – 5.7)*
  Allied health 1.0 78 (21.6) 1.0
Gender .002 -
  Male 1.6 (1.2 - 2.2)* - -
  Female 1.0 - -
Times client seen in last 12 months <.01 -
  12+ 2.0 (1.3 – 3.1)* - -
  5-11 1.2 (0.8 - 1.8) - -
  2-4 1.5 (1.0 – 2.2) - -
  1 1.0 -

aLogistic regression analyses weighted and adjusted by facility groupings from the intervention trial [48].

bFinal regression models which show only variables with significant independent associations with outcome after the modeling process.

cFor N (%) for each variable included in the model refer to Table 1.

dClients over 18 years of age (e.g. the parent of the child seeing the service).

eOther service types include: rehabilitation , chronic and complex care, women's services, migrant services, renal/dialysis, and regional health service programs.

f2006 index of relative socio-economic advantage/disadvantage calculated using client postcodes, based on a continuum of advantage (high values, referring to the higher NSW half [>991]) and disadvantage (low values, referring to the lower NSW half [<=991]) [57].

*Significant.

McElwaine et al.

McElwaine et al. BMC Health Services Research 2013 13:167   doi:10.1186/1472-6963-13-167

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