Advancing Intervention and Prevention Research for Behavioral Health Problems Through Data Synthesis.

This commentary on the special issue, "Innovations and Applications of Integrative Data Analysis (IDA) and Related Data Harmonization Procedures in Prevention Science" summarizes the utility of data synthesis techniques to elucidate prevention effects in important ways, including effects on low base-rate conditions and effects across multiple small-scale studies of preventive interventions, long-term and crossover effects of preventive interventions, and addressing for whom preventive interventions work, and for how long. In addition, articles tackle methodological challenges by integrating and harmonizing data. Much progress has occurred in the past 5 years.

Collaborative care to improve the management of depressive disorders: a community guide systematic review and meta-analysis.

Context: To improve the quality of depression management, collaborative care models have been developed from the Chronic Care Model over the past 20 years. Collaborative care is a multicomponent, healthcare system-level intervention that uses case managers to link primary care providers, patients, and mental health specialists. In addition to case management support, primary care providers receive consultation and decision support from mental health specialists (i.