Evidence-Based Strategies for Treatment Personalization: A Review.

• One-size-fits-all treatment approaches are not sufficient and data-data driven approaches to personalize treatment are necessary. • Individual characteristics may predict better outcomes with one treatment rather than another. • Personalized skill sequencing influences treatment outcome. Clinicians in practice routinely make decisions that, in effect, tailor the care they provide to each individual patient. For example, clinicians must decide which treatment package to administer, or what specific skills to introduce. Providers also determine when to change approaches, the frequency of sessions, and when to terminate treatment. In this review, we describe the empirical literature for personalizing the delivery of psychological care that corresponds to the inflection points in treatment that clinicians face. In addition, we provide data-based recommendations to clinicians for personalizing patient care at each of these decision points and suggest areas for future study. [ABSTRACT FROM AUTHOR]