Table 4.
Logistic regression predicting likelihood of not having DOT at home
| Control variable | Odds ratio | Confidence interval | Significance |
|---|---|---|---|
| Sex | |||
| Female | 1.00 | – | NS |
| Male | 1.28 | (0.89,1.83) | |
| Age (continuous) | 0.98 | (0.96, 0.99) | ** |
| Employment | |||
| Employed | 1.00 | – | NS |
| Unemployed | 0.65 | (0.42, 1.01) | |
| Marital status | |||
| Married or cohabiting | 1.00 | – | * |
| Unmarried and not cohabiting | 1.47 | (1.02, 2.11) | |
| Housing quality | |||
| Not in very poor housing | 1.00 | – | ** |
| In very poor housing | 1.84 | (1.13, 2.99) | |
| Education | |||
| Secondary school or higher | 1.00 | – | NS |
| No or only primary school | 1.15 | (0.74, 1.79) | |
| Undergoing retreatment for TB | |||
| No | 1.00 | – | NS |
| Yes | 1.42 | (0.90, 2.27) | |
Note 1: *P < 0.05; *P < 0.01; NS = Not significant
Note 2: Includes all patients in the sample, N = 1101
Note 3: Computed using SPSS procedure Binary Logistic