Table 3.
ARC | ARI | C vs I, AORCS (95% CI) | P-value | |
---|---|---|---|---|
Cluster distance to PHC
|
|
|
|
|
≤5.0 km |
0.54 |
0.55 |
1.01 (0.84-1.22) |
0.918 |
>5.0 km |
0.50 |
0.54 |
1.18 (1.01-1.38) |
0.039 |
LR test |
|
|
|
0.2193 |
Cluster population size
|
|
|
|
|
<700 people |
0.53 |
0.57 |
1.18 (0.99-1.41) |
0.072 |
≥700 |
0.51 |
0.53 |
1.07 (0.91-1.24) |
0.419 |
LR test |
|
|
|
0.4132 |
Household wealth†
|
|
|
|
|
Less poor |
0.53 |
0.55 |
1.08 (0.95-1.22) |
0.243 |
Poorest |
0.49 |
0.54 |
1.23 (1.03-1.46) |
0.022 |
LR test | 0.1000 |
PHC – public health centre, LR – likelihood ratio, AORCS – cluster-specific adjusted odds ratio, ARC – absolute risk of events in the control arm, ARI – absolute risk of events in the intervention arm, C – control clusters, CI – confidence interval, I – intervention clusters
*We ran three separate models, one for each of the predefined effect modifiers that included an interaction term between treatment arm and the modifier. We report the results of the LR tests for interaction between arm and modifier in each model. All models controlled for the same covariates as the main model for overall effects during the three-year trial period; we removed the baseline cluster-level summary of wealth in the models that assessed heterogeneous effects by this variable at the household level.
†For 20% of sick child-year observations included in the analysis, their household wealth was measured during the follow-up period rather than at baseline. The co-intervention in both arms to remove user fees could have influenced household wealth in the follow-up period.