- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03813862
Observational Pharmaco-Epidemiology Research & Analysis (OPERA)
February 24, 2025 updated by: Epividian
OPERA Longitudinal Observational Database in the Study of Chronic Diseases, Treatments and Outcomes
Greater advances are needed in two separate but related areas in healthcare: 1) the Clinical Decision Support Systems that complement the EHR use in support of routine patient care, population management and disease management; and 2) the use of the point-of-care observational data from the provider-patient encounter that support realworld medical research and healthcare quality measure assessment.
Real-world evaluations of treatments of chronic diseases in the context of comorbid conditions and special populations (minorities, women, mentally ill, and those with addiction) are limited.
The purpose of the OPERA database is to help address this unmet need in clinical research.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
Objectives of OPERA
- To research numerous chronic diseases (HIV, HCV, HBV currently and IBD and RA in the near future, with others as identified for further consideration) utilizing the OPERA® longitudinal database that consists of de-identified EHR data from numerous clinical practices in a variety of settings (e.g. solo practitioners, small groups, and hospitals). Research will be ongoing and yield numerous individual analyses and reports that are authored by epidemiologists, practicing physicians, pharmaco-economists, and other researchers and will target scientific conferences and peer-reviewed medical journals for dissemination.
- To use epidemiological, statistical, and data analysis methods and related research findings to deliver a sophisticated healthcare analytics reporting solution (CHORUS™) to clinicians.†
- To enhance patient population management as well as disease management capabilities of the practicing physician.
- To provide anonymous, nation-wide benchmarking of quality measures and key performance indicators (KPI) for medical clinics.
- To enhance patient engagement with their physicians to deliver better health outcomes.
- To evaluate whether engagement in care by patients with their physicians results in better outcomes for patients with chronic illness.
Study Type
Observational
Enrollment (Estimated)
2000000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Gregory Fusco, MD
- Phone Number: 224-632-1862
- Email: gregory.fusco@epividian.com
Study Locations
-
-
North Carolina
-
Durham, North Carolina, United States, 27703
- Recruiting
- Epividian
-
Contact:
- Rodney Mood
- Phone Number: 919-323-8728
- Email: rodney.mood@epividian.com
-
-
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
1 second and older (Child, Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Sampling Method
Probability Sample
Study Population
The patient population includes a diverse group of individuals treated in ambulatory practice with a focus on those living with chronic disease.
Description
Inclusion Criteria:
- Patients who are treated in the practices who enroll and participate in the study
- Patients whose treatment is documented in the practice's electronic health record system
Exclusion Criteria:
- Patients who opt out of OPERA
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
- Observational Models: Cohort
- Time Perspectives: Retrospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Virologic response to therapy
Time Frame: 1 year
|
HIV-1 PCR laboratory value ("viral load") quantifies the amount of HIV-1 copies in plasma per mL.
The baseline viral load is compared to viral load after 1 year of antiretroviral therapy.
|
1 year
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
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)
December 1, 2013
Primary Completion (Estimated)
November 1, 2035
Study Completion (Estimated)
November 1, 2035
Study Registration Dates
First Submitted
January 11, 2019
First Submitted That Met QC Criteria
January 22, 2019
First Posted (Actual)
January 23, 2019
Study Record Updates
Last Update Posted (Actual)
March 25, 2025
Last Update Submitted That Met QC Criteria
February 24, 2025
Last Verified
February 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Musculoskeletal Diseases
- Nervous System Diseases
- Pathologic Processes
- Disease Attributes
- Intestinal Diseases
- Connective Tissue Diseases
- Digestive System Diseases
- Gastrointestinal Diseases
- Gastroenteritis
- Cardiovascular Diseases
- Liver Diseases
- Neurodegenerative Diseases
- Inflammatory Bowel Diseases
- Rheumatic Diseases
- Collagen Diseases
- Chronic Disease
Other Study ID Numbers
- Pro00023648
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
product manufactured in and exported from the U.S.
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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