Table 2

t-Tests of differences in means between GPs in estimation sample and AMPCo population of GPs

GPs in estimation sample, %
(N=448)
GP population (AMPCo 2020), %
(N approx. 34 500)
P value
Female55.147.0<0.001
Age (years)
 <3513.814.10.87
 35–396.79.90.03
 40–4411.612.90.41
 45–499.611.80.15
 50–5411.611.80.88
 55–5916.712.60.009
 60–6413.411.00.11
 65–699.88.20.22
 70 or higher6.77.60.46
Overseas trained21.744.0<0.001
Rurality (modified Monash model)
 MM165.472.4<0.001
 MM210.09.50.71
 MM38.77.30.24
 MM4-715.810.8<0.001
SES quartile
 115.617.60.27
 225.424.40.60
 326.125.10.62
 432.832.90.96
State
 Australian Capital Territory1.31.70.57
 New South Wales26.130.00.07
 Northern Territory3.10.9<0.001
 Queensland20.320.40.97
 South Australia10.56.90.003
 Tasmania2.92.30.38
 Victoria26.824.40.25
 Western Australia8.910.00.43
  • Values are bolded to denote statistical significance (p<0.10). Rurality is defined using the modified Monash model: MM1, MM2, MM3, MM4 and MM5–7 are grouped with MM4 for the analysis. SES is defined using the ABS SEIFA Index of Disadvantage of the postcode of the GP’s practice, and are in quartiles. Most disadvantaged is the bottom quartile (0%–25%) of disadvantage.

  • ABS, Australian Bureau of Statistics; GP, general practitioner; MM1, major cities; MM2, areas within 20 km of town with 50 000 population; MM3, areas within 15 km of town with 15 000–50 000 population; MM4, areas within 10 km of town with 5000–15 000 population; MM5–7, all other remote and rural areas; SEIFA, Socio-Economic Indexes for Areas; SES, socioeconomic status.