The proposed study utilizes the resources of an existing NIH grant by exploring the feasibility of using innovative online methods for eliciting patient perspectives on chronic pain and for engaging patients in analyses procedures. The study provides an opportunity to determine whether patient chronic pain experiences and perspectives can be gathered through crowdsourcing using Amazon Mechanical Turk (MTurk), in a valid, replicable, and resource efficient way. Although focused on chronic low back pain, the study findings will have broad implications for patient engagement more generally. If the crowdsourcing methods produce data that is comparable to "gold standard" methods used in the RAND Study entitled, "Center of Excellence in Research on Chiropractic" (RAND/CERC Study), this new experimental system has the potential to provide low-cost and time-efficient methods to advance democratically-oriented research, evaluation, policy and ultimately patient-centered clinical care.