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The Racial and Ethnic Approaches to Community Health across the U.S. (R EACH U.S.) Risk Factor Survey presented unique challenges to processing data collected from a multi-mode survey. REACH U.S., which is sponsored by the Centers for Disease Control and Prevention (CDC), monitors the progress and achievements of 28 local health interventions designed to eliminate health disparities among African Americans, Asians, Native Americans, and Hispanics. NORC at the University of Chicago conducts annual surveys in 28 communities using an innovative address-based sampling approach that combines multiple modes of data collection via telephone, mail, and in-person interviews. In this paper, we discuss NORC's approach to processing multi-mode REACH U.S. data, paying particular attention to data processing procedures that occurred before, during, and after data collection. We also detail a metadata data processing framework that guided the creation of the final data file deliverables.

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