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Use of Wearables Following Cystectomy- Part II

The Feasibility of Using Wearable Electronic Devices Following Cystectomy to Identify Early Biometric Signatures of Readmission

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07148765
Enrollment
50
Registered
2025-08-29
Start date
2025-09-19
Completion date
2026-11-30
Last updated
2026-09-08

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

Conditions

Bladder Cancer, Cystectomy, Neurogenic Bladder Disorder

Keywords

Wearable Electronic Devices, Patient Reported Outcome Measures, Postoperative Care, Remote Monitoring, Cystectomy, Urinary Diversion, Fitbit

Brief summary

The goal of this observational study is to learn about the practical considerations for having health care providers respond in real-time to abnormalities detected remotely for patients recovering from cystectomy following discharge from the hospital. Participants will be asked to wear a wearable fitness tracker (e.g., Fitbit) and answer a daily brief questionnaire on their smartphone. The main question\[s\] the investigators aims to answer are: * Is it practical to have health care providers respond in real-time to abnormal biomarkers collected using fitness trackers for patients recovering from cystectomy? * Can we identify early biomarker signatures (e.g. using heart rate, pulse oximetry, respiratory rate, etc.) that can predict adverse events that lead to hospital readmissions? Participants will * Set up and use a Fitbit Sense 2 device for up to 2 weeks prior to surgery and again for 30 days following discharge after their surgical hospitalization. * Download and complete questionnaires in a smartphone application for up to 2 weeks prior to surgery and again for 30 days following discharge after their surgical hospitalization. * Trigger automated alerts when abnormal biometric data (from the Fitbit device) or concerning survey responses are detected. * Receive contact from a health care provider within 24 hours of an automated alert being generated.

Detailed description

Cystectomy is associated with high rates of complications and readmissions, with approximately one-quarter of patients readmitted within 30 days. Despite advances in perioperative care, these rates have remained unchanged. Remote patient monitoring using a combination of consumer-grade wearable electronic devices, such as the Fitbit Sense 2, and smartphone application administered questionnaires offers an accessible method for continuous, passive collection of digital biomarkers (e.g., heart rate, respiratory rate, SpO2, step count, sleep patterns) and collection of patient-reported outcomes (PROs) in the outpatient setting. Prior studies have demonstrated the feasibility of wearable devices and electronic PRO monitoring postoperatively, but limited data exist on the real-time use of biomarker and PRO data to trigger provider responses in cystectomy patients following discharge. The investigators' primary objective is to evaluate the feasibility of investigating continuous remote monitoring using wearable electronic devices and smartphone application-administered questionnaires to trigger real-time alerts to abnormalities in digital biomarkers and PROs in the 30-day postoperative period following cystectomy. The secondary objective of this study is to identify early biometric signatures predictive of adverse events that lead to readmissions.

Interventions

DEVICEFitbit Sense 2

Continuous biometric monitoring (e.g., heart rate, pulse oximetry, respiratory rate, etc.) that will trigger alerts based on predefined threshold criteria for health care providers to respond to by contacting patients within 24 hours of alert.

OTHERSmartphone application survey

Daily questionnaire to record PROs will be administered via patient smartphones. Concerning PROs will trigger alerts which health care providers will respond to by contacting patients within 24 hours of alert.

Sponsors

University of Pittsburgh
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

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

Inclusion criteria

* English-speaking * Owns a smartphone * Scheduled to undergo cystectomy with urinary diversion at a UPMC hospital

Exclusion criteria

* No reliable internet access * Concurrent enrollment in another interventional study that may interfere with outcomes

Design outcomes

Primary

MeasureTime frameDescription
Proportion of participants who remain in the study from enrollment until trial completion (participant retention)From enrollment to 30 days post-discharge following cystectomy hospitalization
Participant wearable electronic device adherenceFrom day of discharge following cystectomy hospitalization to 30 days post-dischargeProportion of patients who wear and transmit data from the provided Fitbit Sense 2 device for at least 16 hours per day for more 14 days

Secondary

MeasureTime frameDescription
Number of participants readmittedfrom discharge following cystectomy hospitalization to 30-days post-discharge
Number of participant unplanned encountersFrom time of discharge following cystectomy hospitalization to 30 days post-dischargeAny unscheduled interaction with healthcare provider triggered by either the patient or a healthcare provider, including initiated by study alerts. This includes emergency department visits, telemedicine visits, telephone encounters, urgent care visits, unscheduled outpatient clinic visits, and hospital readmissions.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORBruce Jacobs, MD, MPH

University of Pittsburgh

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 9, 2026