Table 2 Bivariate associations between categorical predisposing, need for treatment and enabling variables by utilization (N = 989)
From: Inequitable access to substance abuse treatment services in Cape Town, South Africa
Variable | Â | Cases % (n) | Control (% (n) | Chi-square | OR a (95% CI b ) |
|---|---|---|---|---|---|
Predisposing variable | |||||
Gender | Female | 49.7 (276) | 45.6 (198) 54.4 (236) | 1.65 | 1.18 (0.92-1.52) |
| Â | Male | 50.3 (279) | Â | Â | Â |
Race | Black | 50.3 (279) | 50.9 (221) | 0.04 | 0.97 (0.76-1.25) |
| Â | Coloured | 49.7 (276) | 49.1 (213) | Â | Â |
Treatment need variables | |||||
Others suggest treatment | Yes | 90.3 (392) | 71.0 (394) | 55.80(1)*** | 3.81 (2.64-5.51) |
| Â | No | 9.7 (42) | 29.0 (161) | Â | Â |
Seriousness of use | not at all serious | 10.6 (46) | 26.5 (147) | 199.30 (4)*** | Â |
| Â | Slightly serious | 8.5 (37) | 15.0 (83) | Â | Â |
| Â | Moderately serious | 6.9 (30) | 26.3 (146) | Â | Â |
| Â | Considerably serious | 25.6 (111) | 18.7 (104) | Â | Â |
| Â | Extremely serious | 48.4 (210) | 26.3 (75) | Â | Â |
Enabling/restricting variables | |||||
Competing financial priorities | Yes | 40.1 (174) | 73.5 (408) | 112.33 (1)*** | 0.24 (0.18-0.31) |
| Â | No | 59.9 (260) | 26.5 (147) | Â | Â |