Primary and secondary endpoints.
REGRESSION
[1] A logistic regression model was fitted for all endpoints, except QoL for which a linear regression was fitted.[2] These regression analyses include the clustering (clinic) and stratification variables (district) but they are not adjusted for sex.[3] Approximately 22/307 (8.5%), 11 in control and 11 in intervention, did not have a viral load measurement in the primary endpoint window; these were considered as unsuppressed.[4] District was removed from regression analysis due to convergence problems.[5] These regression analyses are in addition adjusted for DTG-based regimen.[6] These regression analyses are in addition adjusted for the respective baseline measure; 31/157 (20%) in control and 58/150 (39%) in Intervention were missing.CI, confidence interval; IQR, interquartile range; LTFU, loss to follow-up; mo, months; QoL, quality of life; VL, viral load.The primary analysis indicated that participants from Mokhotlong district were less likely to reach viral suppression. This effect was no longer observed when we adjusted for baseline VL in the prespecified sensitivity analysis (We found no significant interaction of the prespecified effect modifiers on the primary endpoint (Twelve of 150 (8%) in the intervention versus 23 of 157 (14.7%) in the control arm had transferred out at 12 months (aOR 0.53; 95% CI [0.25 to 1.13]; 