UNTOLD Ovarian Cancer Unmet Needs Survey

This study, called UNTOLD, aims to understand the ongoing concerns and needs of people living with ovarian cancer. It's an observational study, meaning you won't receive any new treatments. Instead, you'll share your experiences through a one-time survey. Some participants may also be asked to complete a follow-up interview. The study is looking for 2000 women, aged 18 or older, who have been diagnosed with ovarian, primary peritoneal, or fallopian tube cancer and can read and write in English. The main goal is to measure your supportive care needs on the first day you participate.

Study design
This is an observational study planning to enroll 2000 participants. It uses a mixed-methods approach, including surveys and interviews.
What's involved
You would complete a one-time survey about your experiences. Up to 40 participants will also be asked to complete a follow-up interview.
Compensation
Not stated in the trial record.
Follow-up
Supportive care needs are measured at Day 1, indicating a short follow-up period for this specific endpoint.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07070726

UNTOLD Ovarian Cancer Unmet Needs Survey

Recruiting
Not specifiedAges 18+Observational
Masonic Cancer Center, University of Minnesota
~2,000 participants
Updated 2026-07-08 on ClinicalTrials.gov

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Supportive Care Needs
Measured over Day 1
Ovarian Cancer
1 sites across 1 states
Minnesota1

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

Ability to read and write in English
Diagnosed with ovarian cancer (ovarian, primary peritoneal, fallopian tube)
  • Supportive Care NeedsDay 1

    Composite Supportive Care Needs Survey - Short Form (SCNS-SF34) score minimum: 34, maximum: 170; continuous score; presented as mean and standard deviation.