Value-based Integrated Recommendation Software Guiding Ovarian Cancer Treatment (VIRGO2) (VIRGO)

October 8, 2025 updated by: Jonsson Comprehensive Cancer Center
This study will evaluate the use of a mobile application in improving the patient-reported health outcome measures (PROMIS) for patients diagnosed with advanced stage ovarian, fallopian tube, and primary peritoneal cancer. The application will incorporate clinical data from the patient's medical chart as well as capture patient-reported outcome measures on an ongoing basis to better inform physicians and the care team so that necessary interventions may be implemented.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

The study will employ the complete utility of the mobile application by incorporating highly coordinated ovarian cancer care pathways, associated evidence-based recommendations, and delivering these 'at the fingertips' of providers and patients when appropriate. The AI-based mobile application requires both clinical data-input as well as continuously captured patient-reported outcome measures (PROMs) including those related to disease progression, medication side effects, medication adherence, anxiety and depression, and quality of life. The continuous assessment of outcome measures will provide ongoing monitoring that is delivered directly to the electronic medical record (EMR). This data allows abnormal outcome measures to trigger immediate expert-based recommendations for care management with one click in the EMR through implementation of the AI-driven ovarian cancer care pathways. Provider recommendations will be continuously generated for the optimization of care that is based upon individual risk profiles, disease stage, and health outcomes, resulting in dynamic and risk-dependent recommendations. Remote patient monitoring will also allow for improved education and instruction, including appointment reminders and medication adherence optimization. The application will also provide nutritional support, mental support, and caregiver connectivity. Given ovarian cancer will be a chronic condition for 80% of patients, the critical challenge is to deliver high level care that improves patient outcomes while not increasing the cost of health care. This project will assess a process by which this can be done with the electronic medical record, a patient application, and AI-generated patient care pathways. The development of such AI-powered care pathways designed for ovarian cancer will be coordinated throughout the induction and maintenance treatment phases of ovarian cancer management.

Study Type

Interventional

Enrollment (Actual)

10

Phase

  • Not Applicable

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

    • California
      • Los Angeles, California, United States, 90095-1406
        • UCLA / Jonsson Comprehensive Cancer Center

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 to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Female ≥18 years of age at Screening Visit.
  2. Diagnosed with ovarian cancer, fallopian tube, or primary peritoneal cancer
  3. Undergoing active treatment at some point during the study period including chemotherapy, immunotherapy, targeted agent or hormonal therapy. If active treatment has not yet started at time of screening, active treatment must be anticipated to begin within 30 days of enrollment.
  4. Written informed consent (and assent when applicable) obtained from subject or subject's legal representative and ability for subject to comply with the requirements of the study.
  5. Access to IOS or Android-based smart phone

Exclusion Criteria:

  1. Unwilling or unable to adhere to the protocol
  2. Unwilling or unable to adhere to the informed consent
  3. Age <18yo
  4. Concurrent non-gynecologic cancer diagnosis requiring active treatment at enrollment
  5. Presence of a condition or abnormality that in the opinion of the Investigator would compromise the safety of the patient or the quality of the data.

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

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Interventional Arm
Use of Mobile Application
Intervention is a mobile application than combines patient data via EMR with PROMIS outcome measures.
No Intervention: Control Arm
Routine care and symptom management

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Assessment of the NFOSI-18 Function/Well-being subscale score between study groups
Time Frame: 12 months
NFOSI-18 is the National Comprehensive Cancer Network/Functional Assessment of Cancer Therapy-Ovarian Symptoms Index. Higher scores imply better outcomes.
12 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Comparison of patient-reported outcome measures (FOSI)
Time Frame: 12 months
FOSI-8 is the Functional Assessment of Cancer Therapy-Ovarian Symptoms Index-8 Item version (range 0-32). Higher scores imply better outcomes. This will not be compared between groups as it is only collected in the intervention arm.
12 months
Comparison of medication adherence (Adherence Index)
Time Frame: 12 months
Adherence Index
12 months
Comparison of patient activation scores (PAM-13)
Time Frame: 12 months
PAM-13 is the Patient Activation Measure. Scored as level 1-4. Higher scores imply better outcomes.
12 months
Comparison of adverse events (including medication side-effects)
Time Frame: 12 months
Adverse Event Log tracking
12 months
Rate of comparison of healthcare utilization
Time Frame: 12 months
ER visits, hospitalizations, blood transfusions
12 months
Determine progression free survival rate
Time Frame: 12 months
Progression-free survival (PFS)
12 months
Determine Over-all survival (OS) rate
Time Frame: 12 months
Over-all survival (OS)
12 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Tiffany Lai, MD, University of California, Los Angeles

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)

October 17, 2023

Primary Completion (Actual)

April 30, 2025

Study Completion (Actual)

April 30, 2025

Study Registration Dates

First Submitted

August 9, 2022

First Submitted That Met QC Criteria

August 30, 2022

First Posted (Actual)

August 31, 2022

Study Record Updates

Last Update Posted (Estimated)

October 10, 2025

Last Update Submitted That Met QC Criteria

October 8, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Aggregate data will be published.

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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