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Digitally Captured Activity Data and PROs to Monitor Physical Function in Prostate Cancer Patients

Evaluating the Role of Wearable Technology and Patient-reported Outcomes to Monitor Physical Function Decline in Prostate Cancer Survivors

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04575402
Acronym
DigiPRO
Enrollment
40
Registered
2020-10-05
Start date
2021-02-19
Completion date
2024-12-31
Last updated
2024-08-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate Cancer

Keywords

Prostate Cancer, Cancer survivorship, Wearable technology, Activity Monitors

Brief summary

Prospective observational research study to evaluate the role of wearable activity monitors to predict physical function decline among prostate cancer survivors receiving ADT.

Detailed description

Physical function is a known predictor of QOL in advanced prostate cancer patients and key measure of treatment tolerability. While treatment with Androgen Deprivation Therapy (ADT) improves survival, it is associated with significant toxicities that lead to physical function (PF) decline. The average age of incident prostate cancer is 66 years, and in this older group of men, chronic comorbid conditions often co-occur with diagnosis, further adding to the risk for PF decline. With over 2.9 million prostate cancer survivors in the US, there is an increasing demand for adequate symptom monitoring and PF assessment throughout cancer care. However, there are currently no validated methods to systematically evaluate and predict PF decline. Thus, the overarching objective of this proposal is to determine whether the use of wearable technology to monitor objective daily activity combined with routine symptom reporting can predict PF decline. To accomplish this, we propose a mixed-methods approach that will provide quantitative information to help identify PC survivors at higher risk for PF decline as well as a qualitative aim gain a deeper understanding of the perceived relationships that PC survivors have with their physical activity levels and treatment symptoms.

Interventions

Continuous monitoring of physical activity including step counts, sleep, heart rate, with consumer-based wearable activity monitor (Fitbit Charge HR4 or similar model)

Sponsors

United States Department of Defense
CollaboratorFED
Cedars-Sinai Medical Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Prostate cancer patients receiving ADT (+/- radiation) or planning to receive ADT. Start date of ADT must be planned for no more 7 days after baseline, or patients must have started ADT within 6 months prior to enrollment. * 18 years or older * Ambulatory (use of walking aids, such as cane and rollator, is acceptable) * Access to a device that has the capability to sync to the Fitbit * Have an understanding, ability, and willingness to fully comply with study procedures and restrictions * English or Spanish speaking * Informed consent obtained from subject and ability for subject to comply with the requirements of the study.

Exclusion criteria

* Using a pacemaker, implantable cardiac defibrillator, neurostimulator, implantable hearing aids, cochlear implants, or other electronic medical equipment. However, removable hearing aids are permitted.

Design outcomes

Primary

MeasureTime frameDescription
Physical function decline within 3 months from baseline3 monthsPatient-reported physical function defined as 5-point change in standardized NIH PROMIS t-scores (mean 50, SD: 10), where higher scores represent higher physical function)
Absolute change in average step counts at 3 months from baseline3 monthsChange will be calculated based on difference in average weekly step count at baseline from the average weekly step count at end-of-study visit as measured using a Fitbit activity monitor where mean weekly Fitbit activity values will be calculated

Secondary

MeasureTime frameDescription
Mean change in Fitbit 24-hour activity3 monthsChange will be calculated based on difference in 24 hour activity as defined as periods of active minutes, sedentary time, and sleep at baseline and end-of-study
Key themes and concepts surrounding the relationships patients have with their treatment symptoms and how they affect their daily activity, as assessed in qualitative interviews.3 monthsThis is a qualitative endpoint assessed in individual patient interviews at end of study.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 30, 2026