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. 2019 Oct 22;22(10):e25402. doi: 10.1002/jia2.25402

Table 2.

Temporal trends of population viral suppression (multivariate analysis), ANRS 12249 TasP trial (2012 to 2016)

Variable Model 1 Model 2
Estimate [95% CI] p‐value Estimate [95% CI] p‐value
Calendar time (annual increase)a 0.019 [0.00; 0.03] 0.012 0.018 [0.00; 0.03] 0.031
Time since cluster opening (annual increase)a 0.045 [0.03; 0.06] <0.001 0.044 [0.02; 0.07] <0.001
Intervention arm (vs. control, at cluster opening) 0.013 [−0.06; 0.03] 0.554 −5.031 [−0.07; 0.01] 0.090
Interaction of intervention arm on time since cluster openinga 0.024 [−0.01; 0.06] 0.131 0.026 [0.00; 0.05] 0.021
Proportion of male (within cluster)b     −0.150 [−0.43; 0.13] 0.295
Proportion of 16 to 29 years old (within cluster)b     −0.036 [−0.46; 0.39] 0.868
Proportion of 60 or more years old (within cluster)b     1.332 [0.11; 2.56] 0.030
Proportion with at least secondary level of education (within cluster)b     −0.013 [−0.32; 0.30] 0.930
Proportion being employed (within cluster)b     0.726 [−0.05; 1.50] 0.065
Proportion being student (within cluster)b     −0.171 [−0.67; 0.33] 0.499
Proportion being single (within cluster)b     0.319 [−0.04; 0.68] 0.106
Proportion from poor households (within cluster)b     0.089 [0.00; 0.18] 0.056
HIV prevalence (within cluster)b     −0.381 [−0.88; 0.12] 0.142

Model 1 is adjusted on calendar time, time since cluster opening and trial arm. Model 2 is also adjusted on cluster‐level sociodemographic characteristics. Models are computed at cluster‐day level.

a

If the estimate is 0.044, it means that every year PVS increase by +4.4% (everything else being equal)

b

if the estimate is 1.332 and if the covariate increases by 0.1 (i.e. by 10%, for example from 20% to 30%), everything else being equal, PVS would increase by 0.1 × 1.332 = 0.1332, that is, by 13.3%.