Table 6. Confounder adjusted association between costs due to TB treatment and various predictor variables using linear regression models in the study of Bao'an district, Shenzhen City, China, 2013 (n = 514).
| Predictors in the model | Beta coefficient | (95% CI) | P value |
|---|---|---|---|
| Sputum smear status | |||
| Negative | Ref | Ref | Ref |
| Positive | 0.08 | (0.036,0.128) | < 0.001 |
| Household registration | |||
| Native patients | Ref | Ref | Ref |
| Migrant patients | 0.15 | (0.043–0.254) | 0.006 |
| Reported-household economic burden | |||
| Heavy | Ref | Ref | Ref |
| Moderate | -0.07 | (-0.13,-0.02) | 0.043 |
| No burden | -0.01 | (-0.07,-0.05 | 0.73 |
| Marital status | |||
| Unmarried | Ref | Ref | Ref |
| Married | -0.005 | (-0.06,0.05) | 0.860 |
| Widowed/divorced | 0.17 | (0.01,0.34) | 0.049 |
| Others | -0.02 | (-0.15,0.12) | 0.820 |
Linear regression was done after conversion to log scale.
Only significant variables were presented.
Ref-reference.