Multivariate logistic regression analysis was performed on the measures of adherence using selected explanatory variables including age, gender, occurrence of side-effects, education, occupation, cost of transport, other treatment-related costs, loss of income, months on treatment, missed appointments, and knowledge of HIV and ART (Annex 2). The variable of missed appointments was a significant predictor of adherence (Wald statistic χ2=4.851; p=0.028) and was associated with levels of adherence to ARV treatment (χ2=5.86;P=0.016). This finding was also reported by Nemes et al. (2004).
Independent t-tests between the sub-optimal and optimal groups for age, distance to facility, cost of transport and months on treatment indicated no significant differences (P>0.05) in both one-month recall methods (Table 4.5).
Table 4.5: Independent t-tests for comparisons between optimal and sub-optimal adherence groups
| |
Visual line one-month recall |
One-month pharmacy pill count |
Variable |
t-test |
P-value |
t-test |
P-value |
Age (n=442) |
0.031 |
P=0.975 |
-0.781 |
0.435 |
Distance to facility (n=492) |
-0.047 |
P=0.749 |
-1.746 |
0.082 |
Cost of transport (n=479) |
0.028 |
P=0.978 |
-1.502 |
0.134 |
Months on treatment (n=489) |
1.182 |
P=0.238 |
0.233 |
0.816 |