Table 3.
Multivariable analysis of predictors of tuberculosis treatment success.
| Predictor | Logistic regression OR (95% CI) | p-value | Poisson regression aRR (95% CI) | p-value |
|---|---|---|---|---|
| Age | 1.01 (0.99–1.03) | 0.21 | 1.00 (0.99–1.02) | 0.38 |
| Sex (Male) | 1.08 (0.66–1.77) | 0.77 | 1.04 (0.82–1.33) | 0.71 |
| TB Type (Pulmonary) | 1.12 (0.71–1.78) | 0.62 | 1.05 (0.84–1.32) | 0.67 |
| Previous TB Treatment | 0.64 (0.38–1.09) | 0.10 | 0.87 (0.69–1.10) | 0.24 |
| HIV Status | 0.80 (0.49–1.29) | 0.36 | 0.95 (0.66–1.37) | 0.79 |
| Education | 1.07 (0.67–1.71) | 0.78 | 1.02 (0.83–1.27) | 0.85 |
| Income | 1.36 (0.74–2.49) | 0.32 | 1.11 (0.86–1.44) | 0.41 |
| Employment | 1.22 (0.72–2.05) | 0.46 | 1.08 (0.86–1.36) | 0.50 |
OR, Odds ratio; aRR, Adjusted risk ratio; CI, Confidence interval. Logistic regression was used to estimate odds ratios, while Poisson regression with robust variance was used to estimate adjusted risk ratios.