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. 2017 Mar 9;12(3):e0172935. doi: 10.1371/journal.pone.0172935

Table 2. Age-sex distribution of the sample.

Patient Age/Sex Number in sample Percent of sample (95% CI) Percent of Australian general practice service claims* Precision ratio Percent of sample after adjusting for attendance Percent of the Australian general practice population@ Precision ratio
Male
<15 years 2,369 5.5% (5.2–5.8) 6.9% 0.80 8.1% (7.7–8.6) 9.4% 0.86
15–24 years 1,246 2.9% (2.7–3.1) 3.2% 0.91 5.0% (4.7–5.4) 5.5% 0.92
25–44 years 3,210 7.5% (7.1–7.9) 8.8% 0.85 11.0% (10.4–11.6) 12.3% 0.89
45–64 years 4,735 11.0% (10.6–11.4) 11.2% 0.99 11.6% (11.1–12.2) 12.3% 0.95
65–74 years 2,756 6.4% (6.1–6.7) 6.0% 1.07 4.8% (4.5–5.1) 4.5% 1.06
75+ years 3,011 7.0% (6.6–7.4) 6.8% 1.03 3.5% (3.3–3.8) 3.3% 1.09
Female
<15 years 2,236 5.2% (4.9–5.5) 6.3% 0.83 7.7% (7.2–8.2) 8.9% 0.87
15–24 years 2,159 5.0% (4.7–5.3) 5.5% 0.91 6.6% (6.1–7.0) 6.3% 1.04
25–44 years 6,057 14.1% (13.6–14.6) 14.4% 0.98 15.7% (15.0–16.3) 14.8% 1.06
45–64 years 6,927 16.1% (15.7–16.6) 14.6% 1.10 15.0% (14.4–15.6) 13.6% 1.11
65–74 years 3,593 8.4% (8.0–8.7) 6.8% 1.22 5.7% (5.4–6.0) 4.9% 1.18
75+ years 4,605 10.7% (10.2–11.3) 9.4% 1.14 5.2% (4.9–5.5) 4.2% 1.23

There were 492 patients who had either/both age and/or sex missing.

*All general practice Medicare Benefits Schedule (MBS) items claimed GPs in 2014–15 and all Department of Veteran Affairs GP claims in 2012–13 (Most recent year available). MBS data supplied by the Medicare Information Analysis Section and Department of Veteran Affairs data was supplied by the Department of Veteran Affairs.

@Distribution of all patients who had at least one MBS GP service item claimed in 2014–15