Coverage of harm reduction services and HIV infection: a multilevel analysis of five Chinese cities

Table 3 Multilevel regression analysis of determinants of HIV infection in drug users (N = 685)

	Model 1	Model 2	Model 3	Model 4	Model 5	Final model
	OR (95% CI)	OR (95% CI)	OR (95% CI)	OR (95% CI)	OR (95% CI)	OR (95% CI)
Exposure to HIV prevention program in the last 12 months
Received NSPs	0.52 (0.30–0.92)	0.53 (0.30–0.94)	0.54 (0.30–0.95)	0.45 (0.25–0.80)	0.46 (0.25–0.82)	0.43 (0.24–0.77)
Received MMT	0.54 (0.35–0.82)	0.55 (0.36–0.84)	0.56 (0.35–0.84)	0.48 (0.31–0.75)	0.48 (0.31–0.75)	0.47 (0.30–0.72)
Information
Knowing his/her serostatus		0.73 (0.46–1.15)	0.69 (0.43–1.10)	0.65 (0.40–1.04)	0.66 (0.41–1.06)
Motivation
Perceived risk of HIV infection			1.89 (1.09–3.28)	1.63 (0.93–2.86)	1.66 (0.94–2.93)
Risk behavior or prevention skills
Types of drug use
• Current injecting drug users but not sharing syringes vs. never injected drugs				2.25 (1.28–3.96)	2.22 (1.26–3.92)	2.14 (1.22–3.75)
• Current injecting drug users and sharing syringes vs. never injected drugs				3.13 (1.76–5.57)	3.15 (1.77–5.61)	3.22 (1.83–5.68)
Used condom during the last sexual intercourse					0.72 (0.48–1.08)
ICC ^* 0.24 (0.08–0.53)		0.24 (0.08–0.53)	0.24 (0.08–0.53)	0.24 (0.08–0.53)	0.24 (0.08–0.53)	0.24 (0.08–0.53)

Note: All models were adjusted for gender and province of origin. Bold figures indicate statistically significant at 0.05
*ICC intraclass correlation coefficient

ISSN: 1477-7517