Smartwatch Tracking of Hot Flashes in Prostate Cancer Patients

This study, called Prostate 007, is looking at whether men with prostate cancer who experience hot flashes (vasomotor symptoms) from their hormone therapy (Androgen Deprivation Therapy or ADT) can consistently use a smartwatch to track these symptoms. We want to see how well the information they log on the smartwatch matches up with daily surveys about their hot flashes. Participants will wear a smartwatch for 4 weeks and press a button on it when they have a hot flash. They will also complete daily surveys sent via text message. The study aims to enroll 18 men aged 18 or older who have prostate cancer and are currently receiving ADT.

Study design
This is an interventional study with a planned enrollment of 18 male participants. It is not specified if it is randomized or blinded.
What's involved
You would wear a smartwatch continuously for 4 weeks, logging hot flashes by pressing a button. You would also complete daily electronic surveys about your hot flashes.
Compensation
Not stated in the trial record.
Follow-up
The primary endpoints are measured at 28 days, indicating the study duration for data collection.

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NCT07535541

A Feasibility Study of Biometric Measurements Via Wearable Smart Watch Technology for Evaluation of Vasomotor Symptoms in Patients Treated With Androgen Deprivation Therapy for Prostate Cancer (Prostate 007)

Recruiting
NAAges 18+Interventional
University of Virginia
~18 participants
Updated 2026-06-09 on ClinicalTrials.gov
What's tested:VMS logging

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Duration of wear per day
Measured over 28 days
+2 more outcomes measured
Prostate Cancer
Hot Flashes
1 sites across 1 states
Virginia1
  • Michael Devitt, MD · PRINCIPAL_INVESTIGATOR · University of Virginia

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  • Duration of wear per day28 days

    For each participant, we will calculate the duration of device wear for each day using the real-time data recorded by the device and estimate the mean daily duration.

  • Percent of days with self-reported time marked vasomotor events28 days

    Percent of days with self-reported time marked vasomotor events, using the real-time marked vasomotor events from the device.

  • Concordance between time marked vasomotor events and events described through EMAs.28 days

    Concordance between time marked vasomotor events and EMA reporting of vasomotor events during the corresponding time period.