Historically, only clinicians and researchers have been involved with decisions about what research topics to pursue, and patients have been left out of the process. This creates a gap between clinical application of research and patients’ experience. By expanding the scope of how researchers and clinicians obtain patient data to include research topic priorities, we explore how to incorporate patient perspectives better. Although there are many studies that aim to analyze patient registries, there are limited studies that attempt to elucidate the degree of the participants’ interest, or willingness to get involved in providing input on research activities. Through a study funded by the Patient-Centered Outcomes Research Institute (PCORI), we developed a two-phase approach to prioritize topics for low back pain research. In phase one, we invited participants from a patient registry of older adults with back pain , and in phase two, invited participants using Amazon Mechanical Turk (MTurk), an online crowd-sourcing platform. Participants completed an initial screening survey comprised of the Roland Morris Disability Questionnaire, a standard tool to identify individuals experiencing back pain. Those scoring 7 or higher on the RMDQ were sent a research topic prioritization survey. 1966 people completed the screening survey, and 480 qualified, of which 353 completed the prioritization survey (completion rate: 74%). Using both recruitment strategies, we had a high response rate, and participants are diverse in terms of pain, gender, and age. Responses show participants’ effort to fully answer the survey and voice their opinion, including providing additional topics that had not been identified previously.This work highlights that recruiting from a patient registry or using MTurk are both effective tools to obtain patient input, and increases the flow of information from the public/patient to the researcher, and inevitably the clinician; we expect incorporating these methods will increase patient voice in research.