The wide variety of treatment outcomes and the observation that patients attach different importance to the outcome measures supports the value of developing new personalized outcome measures for effect studies. In clinical practice, the clusters of outcomes can be used in shared decision making during intake, to define treatment goals, and to map and evaluate change on a personalized set of outcome measures.