Digital Signals in Chronic Pain (DiSCover Project)

July 20, 2020 updated by: Evidation Health
The DiSCover Project is a 1-year longitudinal case-control observational study. In this study, the investigators plan to collect different types of data including self-reported health outcomes and quality of life data, behavioral data from activity trackers and health and fitness apps, data from lab tests, genetic data, and environmental data. One of the goals of this study is to develop digital biomarkers for chronic pain severity, flare ups and quality of life.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

10161

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • California
      • San Mateo, California, United States, 94401
        • Evidation Health

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

This study will recruit virtually and individuals can participate remotely.

Description

Inclusion Criteria:

  • Age 18 years or older
  • Resides in the United States
  • Case Inclusion Criteria: Self-reported diagnosis of chronic pain and experiences moderate chronic pain as assessed by scoring at least 4 on the Numeric Pain Rating Scale
  • Control Inclusion Criteria: Self-reported not having chronic pain

Exclusion Criteria:

  • Less than 18 years old
  • Is not able to read or understand English

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Case
Individuals diagnosed with chronic pain
Other: No intervention
No intervention
Control
Individuals without chronic pain
Other: No intervention
No intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Self-reported chronic pain severity measured by BPI-SF
Time Frame: 1 year
1 year
Quality of Life Scale for Pain
Time Frame: 1 year
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Evidation Health

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 8, 2018

Primary Completion (Actual)

December 26, 2019

Study Completion (Actual)

January 15, 2020

Study Registration Dates

First Submitted

January 7, 2018

First Submitted That Met QC Criteria

January 29, 2018

First Posted (Actual)

February 5, 2018

Study Record Updates

Last Update Posted (Actual)

July 22, 2020

Last Update Submitted That Met QC Criteria

July 20, 2020

Last Verified

July 1, 2020

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • EH-007

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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