Table 7. Confounder adjusted association between costs due to TB care (diagnosis and 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 |
---|---|---|---|
Whether in hospital due to TB diagnosis | |||
Yes | -0.26 | -0.38,-0.15 | < 0.001 |
No | Ref | Ref | Ref |
Household registration | |||
Native patients | Ref | Ref | Ref |
Migrant patients | 0.13 | 0.01,0.26 | 0.038 |
Number of times visiting health-care facilities | |||
< = 2 | -0.15 | -0.26,-0.03 | 0.011 |
2~6 | -0.1 | -0.22,0.02 | 0.094 |
> = 7 | Ref | Ref | Ref |
Linear regression was done after conversion to log scale.
Only significant variables were presented.
Ref-reference.