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Patient Engagement Via Crowdsourcing

NCT03264521 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 8193

Last updated 2021-02-26

No results posted yet for this study

Summary

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.

Conditions

  • Chronic Low Back Pain

Interventions

OTHER

Surveys

Web surveys about experiences with chronic low back pain, demographics, coding qualitative text.

Sponsors & Collaborators

  • Claremont Graduate University

    collaborator OTHER

  • RAND

    lead OTHER

Eligibility

Min Age
21 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2017-01-23
Primary Completion
2017-12-22
Completion
2018-05-30

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03264521 on ClinicalTrials.gov