654 – Data Collection Issues
Transitioning a Random Digit Dialing Health Survey to Address-Based Sampling
Bonnie Shook-Sa
RTI International
Lauren Klein Warren
RTI International
David Roe
RTI International
Brian Head
RTI International
Doug Currivan
RTI International
Barbara Bibb
RTI Intern
The selection of an appropriate sampling frame is dependent on multiple factors, including the target population, frame coverage, mode(s) of data collection, anticipated response rates, and impact on data collection costs. For household telephone surveys, two sampling frames are typically considered: dual-frame random digit dialing (RDD) and address-based sampling (ABS). Aligning Forces for Quality: Assessment of Consumer Engagement (AF4Q) is a survey of chronically ill consumers of healthcare residing in targeted geographic markets, ranging in size from single counties to entire states. Three previous waves of AF4Q were based on traditional (landline only) and dual-frame RDD designs. Because of the error in mapping wireless phone numbers to small geographic areas, the wireless phone sample led to both inefficiencies and undercoverage. To mitigate these concerns, an ABS design was implemented in three AF4Q markets for the second round of data collection. We discuss the challenges associated with each sampling method and compare key sampling and data collection measures for the RDD and ABS designs.