Patient Engagement Via Crowdsourcing
CompletedNCT03264521
View the official record on ClinicalTrials.gov Recruiting status changes often. Contact the study team listed on ClinicalTrials.gov, and talk to your doctor before joining a study.
This study has no listed site in Canada in this snapshot. It is included as part of the worldwide chronic pain corpus.
Brief summary (from the registry)
The study aims to advance pain research by exploring feasibility of crowdsourcing patient pain data via Amazon Mechanical Turk, the largest and most studied crowdsourcing platform in the U.S. We will leverage an existing NIH/NCCIH grant as a comparison data (RAND Center of Excellence in Research on CAM; CERC) to conduct a feasibility study of new methods for gathering and analyzing data on chronic pain and engaging pain patients in health policy.
Study details
- Official title
- Feasibility of Crowdsourcing for Eliciting Patient Experiences of Chronic Pain
- Conditions
- Interventions
- Other: Surveys
- Sponsor
- RAND
- Collaborators
- Claremont Graduate University
- Start date
- 2017-01-23
- Primary completion
- 2017-12-22
- Sex
- All
- Age range
- from 21 Years
- Healthy volunteers
- true
- Results posted
- No results posted in this snapshot
- Countries
- United States
- Total sites listed
- 1
Eligibility criteria
Show eligibility criteria (verbatim from the registry)
Inclusion Criteria: * At least 3 months of low back pain or self-reported chronic low back pain * Utilized chiropractic care for treating back pain Exclusion Criteria: * Under 21 years of age * No open legal or workers compensation case related to condition * No diagnosis from provider of medical condition, so must be non-specific low back pain.
Source: ClinicalTrials.gov (US National Library of Medicine), snapshot October 2026. Check the registry for current recruiting status. Record: https://clinicaltrials.gov/study/NCT03264521