The effectiveness of treatment algorithms rests on 3 principles. The 3 broad categories requiring special attention are (1) the determination of the need for sequential treatment algorithms; (2) what should be the placement of various treatment interventions in treatment algorithms with sequenced treatments, e.g., at what point should combination treatments and somatic treatments be included; and finally, (3) what the process or procedure is to implement algorithms in the clinical setting, e.g., the use of recently developed measurement-based care. 1 Dr. Osser: It is clear to me that there are significant differences between the likely outcome of people receiving treatment as usual (TAU) as opposed to algorithm-driven treatment. In the Texas Medication Algorithm Project (TMAP), 2 that difference was seen primarily in the first 3 months. An important factor in that difference was that the care coordinator identified patients who were not doing well and needed to move to the next step in the algorithm. For the next 9 months of the TMAP study, there was no widening of the difference between the algorithm group and the TAU group, suggesting that, from that point on, both groups did reasonably well (Figure 1). Dr. Trivedi: There is also evidence in primary care from Katon and colleagues, 3 which showed that guideline-driven care produces better outcome than TAU. Unützer and coworkers 4 found similar results. All of these studies have used care coordinators in the algorithm-driven treatment groups. The question becomes whether the better outcomes are related to the use of the care coordinator.Dr. Shelton: Dr. Trivedi, according to your TMAP article from 2004, 2 I agree that the first quarter is where the majority of change happens, but if you look at the end of a year of treatment, there still is a substantial difference between the TAU and the algorithm treatment patients. TAU patients did not catch up by the end of a year (see Figure 1), but the differences that are achieved are achieved primarily up front and then maintained throughout the year. Dr. Marangell: The data are fairly consistent in showing that algorithms result in not just better response rates, but improved patient satisfaction as well. Katon et al. 3 found that response rates were 74% with the algorithm versus 44% with TAU and that patients who received algorithmdriven treatment were more likely than patients who received TAU to rate their quality of care as good or excellent (93% vs. 75%).Dr. Fava: If you ask me whether there is a need for treatment algorithms in depression, I would say absolutely, but I question if we truly