Table 2.
Logistic regression analyses of TB treatment preferences and TB stigmatizing ideas, HIV/AIDS stigmatizing ideas and the view that TB patients should be queued up with other chronically ill patients.
| TB hospital | Clinic | Family member collecting medicine | DOTS volunteer collecting medicine | |
|---|---|---|---|---|
| Adjusted OR | Adjusted OR | Adjusted OR | Adjusted OR | |
| TB stigma | 0.784 (0.657-0.899) | 1.326 (1.153-1.537) | 1.030 (0.838-1.294) | 0.841 (0.684-1.056) |
| HIV/AIDS Stigma | 1.122 (0.957-1.276) | 0.975 (0.836-1.121) | 0.966 (0.778-1.214) | 0.859 (0.712-1.058) |
| TB patients queued with chronically ill | 1.135 (0.997-1.267) | 0.950 (0.825-1.082) | 0.772 (0.522-1.130) | 0.869 (0.630-1.210) |
| Constant | 0.339 | 0.643 | 0.167 | 0.289 |
| Model χ2 | x2 = 26.003 | x2 = 21.687 | x2 = 1.817 | x2 = 7.646 |
| -2 log likelihood | 1340.191 | 1275.412 | 687.333 | 901.778 |
| Nagelkerke R2 | 0.034 | 0.029 | 0.004 | 0.013 |
Notes: Figures in bold are statistically significant at p < 0.05.
Not stigmatizing ideas = 0; stigmatizing ideas = 1.
It does not help to put TB patients in a queue with other chronically ill patients = 0; it does help to put TB patients in a queue with other chronically ill patients
The tables stating the logistic regression models also adjust for gender and education.