Primary Analysis: To compare the effectiveness of the three feedback interventions in improving the FI score, mixed-effects regression models will be used. The models will account for multiple measures within each unit and clustering of units within facilities. All analyses will be adjusted for the three stratification variables of the TREC facility sample (region, owner-operator model and facility size). Characteristics of units and facilities will be compared using descriptive statistics at baseline. Based on this, models will be adjusted for baseline variables that differ significantly between treatment groups. Data will be assessed whether they meet the assumptions of this model (multivariate normality, linearity, normally distributed, uncorrelated residuals, random effects with mean zero) and models will be adjusted accordingly. Intention-to-treat analysis will be conducted, as this best reflects the pragmatic nature of the study. These results will be compared to an as-treated analysis, which better reflects adherence/non-adherence with the intervention. Reporting of these findings will follow the Consolidated Standards of Reporting Trials (CONSORT) guidelines.