Revision joint replacement surgeries of the hip and knee across geographic region and socioeconomic status in the western region of Victoria: a cross-sectional multilevel analysis of registry data

Table 2 Multilevel logistic regression models showing effects of sex, age and socioeconomic status on revision surgery

	Hip revisions Odds ratios (95%CI)	p value	Knee revisions Odds ratios (95%CI)	p value
Women	1.01 (0.85–1.19)	0.94	1.04 (0.84–1.29)	0.69
Men (referent)	1.00	–	1.00	–
Age group (years)
0–39	0.01 (0.003–0.02)	≤0.001	0.01 (0.004–0.02)	≤0.001
40–49	0.08 (0.04–0.13)	≤0.001	0.07 (0.04–0.13)	≤0.001
50–59	0.32 (0.24–0.42)	≤0.001	0.31 (0.23–0.44)	≤0.001
60–69 (referent)	1.00	–	1.00	–
70–79	1.68 (1.36–2.07)	≤0.001	1.32 (1.02–1.71)	0.03
≥ 80	1.49 (1.17–1.90)	0.001	0.89 (0.64–1.23)	0.47
Socioeconomic status
Quintile 1^a	0.85 (0.67–1.09)	0.20	1.11 (0.81–1.51)	0.52
Quintile 2	0.87 (0.68–1.10)	0.25	1.37 (1.02–1.83)	0.03
Quintile 3 (referent)	1.00	–	1.00	–
Quintile 4	1.11 (0.85–1.44)	0.44	0.98 (0.68–1.40)	0.92
Quintile 5^b	0.86 (0.56–1.34)	0.51	0.65 (0.34–1.27)	0.21
Random effects of LGAs^c	0.20 (0.11–0.36)		0.33 (0.17–0.63)
% total variance contributed by LGAs^d	1%		3%
p value^e		≤0.001		≤0.001

^aMost disadvantaged quintile of socioeconomic status; ^bMost advantaged quintile of socioeconomic status; ^cStandard deviation of the random effects of local government areas (LGAs); ^dPercentage of the total variance contributed by the variance of the LGAs; ^ep value for a likelihood ratio test. Bold text indicates significance at p value ≤0.05

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