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. 2013 May 6;13:167. doi: 10.1186/1472-6963-13-167

Table 1.

Client and community health service characteristics, 2009–10, NSW, Australia (N = 1284)

Characteristic Participants n (%)
Service type
 
  Aged care
66 (5.1)
  Allied health
300 (23.4)
  Community child and family healtha
203 (15.8)
  Community nurses and other nursing services
434 (33.8)
  Diabetes
106 (8.3)
  Otherb
175 (13.6)
Gender
 
  Female
831 (64.7)
Age
 
  <40
304 (23.7)
  40-49
93 (7.2)
  50-59
145 (11.3)
  60+
742 (57.8)
SEIFA Index of Disadvantagec
 
  Lower
989 (77.0)
  Higher
295 (23.0)
Client remoteness (ARIA)d
 
  Major cities
314 (24.5)
  Regional/remote towns
970 (75.6)
Number of visits to service in prior 12 monthse
 
  1
312 (24.4)
  2-4
312 (24.4)
  5-11
335 (26.2)
  12+
321 (25.1)
Aboriginal and/or Torres Strait Islanderf
 
  Yes
44 (3.4)
Marital statusg
 
  Living with partner
752 (58.6)
Educationh
 
  Some high school or less
361 (28.2)
  Completed high school
612 (47.8)
  Technical certificate or diploma
171 (13.4)
  University or college degree, or higher
137 (10.7)
Employment
 
  Employed
263 (20.5)
  Unemployed (or unable to work due to health reasons)
150 (11.7)
  Retired
655 (51.0)
  Other (e.g. student, home duties)
216 (16.8)
Number of conditions in the prior two months for which client needed to take medication or receive medical attentioni
 
  0
192 (19.0)
  1
336 (33.2)
  2
196 (19.4)
  3
134 (13.2)
  4 or more 154 (15.2)

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

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

c2006 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].

dAccess/Remoteness Index of Australia (ARIA)[58] and was calculated using client postcodes.

eCategories based on quartiles. 4 missing values.

f2 missing values.

g1 missing value.

h3 missing values.

i272 missing values.