Patient Engagement Via Crowdsourcing
PECS
Feasibility of Crowdsourcing for Eliciting Patient Experiences of Chronic Pain
1 other identifier
observational
8,193
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2017
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 23, 2017
CompletedFirst Submitted
Initial submission to the registry
July 25, 2017
CompletedFirst Posted
Study publicly available on registry
August 29, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 22, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
May 30, 2018
CompletedFebruary 26, 2021
February 1, 2021
11 months
July 25, 2017
February 25, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
ODI Score
Oswestry Disability Index: Validated low back pain function scale (0-100)
day 1
PROMIS-29
Patient-Reported Outcomes Measurement Information System, 29 items, Version 2: Validated, self-reported measure of global, physical, mental, and social health for adults in the general population and those living with a chronic condition.
day 1
Average Pain NRS (0-10)
Numeric Rating Scale for pain intensity: Average pain in past seven days (0-10)
day 1
Worst Pain NRS (0-10)
Numeric Rating Scale for pain intensity: worse pain in past seven days (0-10)
day 1
Secondary Outcomes (1)
Demographics
day 1
Study Arms (1)
MTurk Participants
Participants who are registered users on Amazon Mechanical Turk (crowdsourcing platform) who volunteer to take survey.
Interventions
Web surveys about experiences with chronic low back pain, demographics, coding qualitative text.
Eligibility Criteria
Participants of Amazon Mechanical Turk crowdsourcing platform with chronic low back pain who utilize chiropractic care.
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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- RANDlead
- Claremont Graduate Universitycollaborator
Study Sites (1)
RAND Corporation
Santa Monica, California, 90407, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 25, 2017
First Posted
August 29, 2017
Study Start
January 23, 2017
Primary Completion
December 22, 2017
Study Completion
May 30, 2018
Last Updated
February 26, 2021
Record last verified: 2021-02
Data Sharing
- IPD Sharing
- Will not share