Patient Engagement Via Crowdsourcing

Completed

Conditions studied: Chronic Low Back Pain

In brief

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.

Key facts

Study ID

NCT03264521

Run by

RAND

People needed

8193

Starts

2017-01-23

Expected to finish

2018-05-30

Last updated by the study team

2021-02-26

Who can join

Age: 21 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• At least 3 months of low back pain or self-reported chronic low back pain
• Utilized chiropractic care for treating back pain

You may not qualify if…

• 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.

Where it is running

• RAND Corporation — Santa Monica, California, United States

Full record on ClinicalTrials.gov

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