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Table 3 Patient and GP characteristic-specific opioid prescribing rate, 2012–2016

From: Opioid prescribing in general practice: an Australian cross-sectional survey

 

Characteristic specific encounters with opioid prescribed

(n, %) (n = 20,307)

Encounters in sample (N = 389,700)

Character-specific proportion of encounters that received an opioid (95% CI)

Odds ratio from multivariate logistic regressiona

Patient characteristics

Age (Missing)

(152)

(3,399)

 

P < 0.0001

 0–14 years

39 (0.2%)

43,752

0.1 (0.1–0.1)

0.02 (0.01–0.03)

 15–24 years

587 (2.9%)

30,799

1.9 (1.7–2.1)

0.42 (0.37–0.47)

 25–44 years

4,118 (20.4%)

85,293

4.8 (4.6–5.0)

1.16 (1.08–1.25)

 45–64 years

7,383 (36.6%)

105,305

7.0 (6.8–7.2)

1.51 (1.41–1.61)

 65–79 years

5,074 (25.2%)

79,452

6.4 (6.2–6.6)

0.93 (0.87–0.98)

 80 + years

2,954 (14.7%)

41,700

7.1 (6.8–7.4)

Reference group

Sex (Missing)

(163)

(3,418)

 

P = 0.0059

 Male

8,375 (41.6%)

156,312

5.4 (5.2–5.5)

Reference group

 Female

11,769 (58.4%)

229,970

5.1 (5.0–5.3)

0.94 (0.91–0.98))

 Socio-economic advantage (Missing)

(386)

(8,448)

 

P < 0.0001

 High socioeconomic advantage

9,940 (49.9%)

230,055

4.3 (4.2–4.5)

0.82 (0.79–0.86)

 Low socioeconomic advantage

9,981 (50.1%)

151,197

6.6 (6.4–6.8)

Reference group

Patient language background ~ (Missing)

(1,541)

(37,716)

 

P < 0.0001

 Non-English speaking

1,098 (5.9%)

31,088

3.5 (3.2–3.8)

0.64 (0.59–0.69)

 English speaking

17,668 (94.1%)

320,896

5.5 (5.4–5.7)

Reference group

Commonwealth concession card holder status (Missing)

(1,335)

(32,201)

 

P < 0.0001

 Card holder

12,743 (67.2%)

161,392

7.9 (7.7–8.1)

2.47 (2.36–2.59)

 Non-card holder

6,229 (32.8%)

196,107

3.2 (3.1–3.3)

Reference group

Indigenous^ Status (Missing)

(1,545)

(37,640)

 

P = 0.0003

 Indigenous

548 (2.9%)

7,017

7.8 (6.8–8.8)

1.30 (1.13–1.50)

 Non-Indigenous

18,214 (97.1%)

345,043

5.3 (5.1–5.4)

Reference group

New to practice status (Missing)

(284)

(5,618)

 

P < 0.0001

 New to practice

851 (4.3%)

28,608

3.0 (2.7–3.3)

0.78 (0.70–0.86)

 Seen previously

19,172 (95.7%)

355,474

5.4 (5.3–5.5)

Reference group

GP characteristics

Age (Missing)

(86)

(2,400)

 

Not significant (P = 0.3329)

  < 45 years

4,675 (23.1%)

102,800

4.5 (4.3–4.8)

Reference group

 45–54 years

5,703 (28.2%)

110,800

5.1 (4.9–5.4)

1.02 (0.96–1.09)

 55 + years

9,843 (48.7%)

173,700

5.7 (5.5–5.9)

1.05 (0.99–1.12)

Sex (Missing)

(0)

(0)

(400)

P < 0.0001

 Male

12,860 (63.3)

220,500

5.8 (5.6–6.0)

Reference group

 Female

7,447 (36.7)

169,200

4.4 (4.2–4.6)

0.82 (0.78–0.87)

Rurality of GP practice (Missing)

(26)

(800)

 

P < 0.0001

 Major city

15,548 (62.1%)

272,700

4.6 (4.5–4.7)

Reference group

 Inner regional

5,127 (25.4%)

77,900

6.6 (6.3–6.9)

1.15 (1.09–1.23)

 Outer regional/ Remote

2,606 (12.9%)

38,300

6.8 (6.4–7.2)

1.21 (1.11–1.32)

 Australian graduate (primary medical degree from Australia) (Missing)

(101)

(1,600)

 

P = 0.0060

 Yes

13,685 (67.7%)

257,000

5.3 (5.2–5.5)

Reference group

 No

6,521 (32.3%)

131,100

5.0 (4.8–5.2)

0.93 (0.88–0.98)

  1. aMultivariate Logistic Regression analyses