Data analyses: Regression models are used to compare patient outcomes between implementation and control clinics and performed per protocol and on an intention-to-treat-basis. Total costs, i.e. direct health care costs, direct and indirect non-health care costs and incremental costs, will be compared between conditions. A ratio between difference in outcome scores and costs between baseline and 6, 12, and 18 months post treatment will be. Incremental costs will be calculated per cost-benefit ratio associated with treatments in the two conditions. Bootstrapping is used for confidence intervals for cost-effectiveness and cost-benefit ratios.