Table 7. Interval regressions to identify factors associated with WTP for CD4 and viral load testing.
| Characteristics | Amount of WTP | |||
|---|---|---|---|---|
| CD4 cell count | Viral Load | |||
| Coef | 95%CI | Coef | 95%CI | |
| Age | -0.16 | (-0.33; 0.02) | -0.90* | (-1.63; -0.18) |
| Gender (Female vs male) | -4.69 | (-10.43; 1.96) | ||
| Education (vs Illiterate) | ||||
| • Elementary school | -2.85* | (-5.25; -0.45) | ||
| • High school | 5.85 | (-1.91; 13.62) | ||
| • University | 4.64 | (-1.09; 10.36) | 38.55* | (15.98; 61.13) |
| Monthly income per capita (vs Poorest) | ||||
| • Rich | 4.80* | (2.45; 7.12) | 7.72 | (-1.28; 16.72) |
| Anxiety/Depression (Yes vs No) | -2.78* | (-5.02; -0.54) | -8.04 | (-16.61; 0.54) |
| Pain/Discomfort (Yes vs No) | -2.23 | (-4.51; 0.05) | -6.18 | (-14.92; 2.56) |
| Inpatient care in last 12 months (Yes vs No) | 3.39* | (1.03; 5.76) | 9.72* | (0.58; 18.87) |
| Number of episodes of drug rehabilitation | 0.26 | (-0.01; 0.52) | ||
| Years of IVDA | -0.16 | (-4.51; 0.02) | -0.95* | (-1.81; -0.09) |
| Years of illicit drug use | 0.82 | (-0.19; 1.82) | ||
| Difficulty paying for health insurance (Yes vs No) | -3.92* | (-6.30; -1.53) | -6.3 | (-15.52; 2.92) |
| Difficulty accessing health insurance (Yes vs No) | -5.66 | (-14.24; 2.92) | ||
| Constant | 15.95* | (9.19; 22.56) | 50.34* | (24.68; 76.01) |
HI = health insurance, IVDA = intravenous drug abuse, 95% confidence intervals are in parentheses. Unit: US$
* p<0.05