Evaluating the Use of Wearable Biosensors and PROs to Assess Performance Status in Patients With Cancer

September 20, 2017 updated by: Arvind Shinde, Cedars-Sinai Medical Center

The Biosensor Study: Exploratory Study Evaluating the Use of Wearable Biosensors and Patient Reported Outcomes (PROs) to Assess Performance Status and Distress in Patients With Cancer

The purpose of this study is to evaluate the association between wearable biosensor data, performance status and patient-reported outcomes in cancer patients. Participants in this study will wear a biosensor (Fitbit Charge HR®) for 15 days and respond to questionnaires that will assess patient reported outcome measures including physical function, emotional distress, pain interference, sleep disturbance and fatigue.

Eligible patients will have a diagnosis of advanced cancer. Patients must be greater than 18 years of age and be English speaking due to the questionnaires that will be administered during the study. Patients must also be ambulatory (use of walking aids, such as cane and rollator, is acceptable) and have access to a smartphone with internet access (IOS or Android). It is also necessary for patients to have scheduled oncology clinic visits at least once every 2 weeks.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

This study aims to measure association between biosensor data, performance status and patient-reported outcomes. This study will also evaluate the feasibility of using Fitbit activity monitors in a cancer population to capture objective activity data. The study will be recruiting patients with advanced cancer diagnoses (stage 3 or 4) and will be referred by the treating oncologist. This is an exploratory study that will follow patients with stage 3-4 cancer for a period of 15 days. Subjects will be provided with a Fitbt Charge HR® activity monitor. They will be requested to wear the Fitbit Charge HR® at all times, except for while bathing or performing other activities where the activity monitor can become submerged in water. Subjects will be asked to wear the Fitbit Charge HR® for two weeks. They will be seen in the clinic at baseline, at the end of week 1 (day 8) and at end of 2 weeks (day 15) for physical exam, evaluation of performance status by both treating oncologist and practice nurse using standardized scales and administration of PROMIS® questionnaires. Patients will be followed up to 6 months after the last clinic visit for adverse events, hospitalization and survival. Thirty subjects will be enrolled in this study.

Study Type

Observational

Enrollment (Actual)

37

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, 90048
        • Cedars-Sinai Medical 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 and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Advanced cancer patients

Description

Inclusion Criteria:

  • Diagnosis of advanced solid malignancy (Stage 3 or 4) with measurable disease, who are being followed by an oncologist
  • 18 years or older
  • English speaking
  • Ambulatory (use of walking aids, such as cane and rollator, is acceptable)
  • Access to IOS or Android smartphone with internet access
  • Expected to have oncology clinic visits at least once every 2 weeks
  • Have an understanding, ability, and willingness to fully comply with study procedures and restrictions
  • Ability to consent

Exclusion Criteria:

  • Allergy to surgical steel or elastomer/rubber
  • Using a pacemaker, implantable cardiac defibrillator, neurostimulator, hearing aids, cochlear implants, or other electronic medical equipment

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Biosensor + Patient Reported Outcomes (PRO)
Participants will wear a biosensor (Fitbit Charge HR®) continuously for a period of 15 days and respond to PROMIS questionnaires. This is not a chemotherapy or treatment-intervention trial.
A wrist worn biosensor, the Fitbit Charge HR® has sensor capability, good battery life, water resistant, Bluetooth capabilities, and provides accessible data.
Other Names:
  • Biosensor
  • Activity monitor

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Physical activity as measured using Fitbit Charge HR (composite of mean daily steps and stairs per day, mean resting heart rate, mean daily active minutes and time sedentary, stairs climbed)
Time Frame: 15 days
Data will be compared to reference standards to answer primary objective.
15 days
Performance status as measured with with Eastern Cooperative Oncology Group performance status (ECOG-PS) scale
Time Frame: 15 days
ECOG PS will be compared to physical activity as measured using biosensor data (Outcome 1)
15 days
Performance status as measured with Karnofsky Performance Status (KPS)
Time Frame: 15 days
KPS will be compared to physical activity as measured using biosensor data (Outcome 1)
15 days
Patient-reported physical function summary using NIH Patient Reported Outcome Measurement System (PROMIS®) tool
Time Frame: 15 days
Mean weekly summary score of physical function from NIH PROMIS® tools will be compared to biosensor metrics (outcome 1) and performance status (Outcomes 2 and 3)
15 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Summary score of emotional distress as measured using NIH PROMIS® questionnaire
Time Frame: 15 days
15 days
Summary score of pain interference as measured using NIH PROMIS® questionnaire
Time Frame: 15 days
15 days
Summary score of fatigue as measured using NIH PROMIS® questionnaire
Time Frame: 15 days
15 days
Summary score of sleep interference as measured using NIH PROMIS® questionnaire
Time Frame: 15 days
15 days
Presence of frailty phenotype
Time Frame: 15 days
Using Fried's definition, frailty is present if ≥3 characteristics of frailty are present. Association between measures of frailty and biosensor data will be measured.
15 days
Feasibility defined as proportion of time Fitbit is worn during study period (4 of 7 days worn in the study)
Time Frame: 15 days
This will be measured by using the duration of time that the Fitbit Charge HR is worn and recording data during the study. Recorded data from the device for 4 of each 7 days of the study (at least 16 hrs of each day) will support feasibility of utilizing the Fitbit Charge HR to collect data. Feasibility of collecting PROMIS® tool responses will be determined by percentage of completed PROMIS® tools. PROMIS® tool completion rates of >50% will support the feasibility of current method of utilizing PROMIS® tools to collect PROs.
15 days
Occurrence of any chemotoxicity (using CTCAE v4) within patients who are undergoing treatment for their condition during time of study
Time Frame: 4 weeks after completion of study
Patients enrolling in the study will be treated for their condition (per standard of care). We will capture the occurrence of toxicities form their respective treatments to determine how physical activity (as measured using the biosensor) predicts the events.
4 weeks after completion of study
Occurrence of hospitalization (yes/no)
Time Frame: At 3 and 6 months after completion of 15 day study
Will follow-up with patients at specified time points to determine whether the patient experienced any hospitalizations (binary event) to determine whether baseline activity levels (as measured using biosensor) predicts the event.
At 3 and 6 months after completion of 15 day study
Number of hospitalizations
Time Frame: At 3 and 6 months after completion of 15 day study
Will follow-up with patients at specified time points to determine how many hospitalizations the patient experienced (continuous) to evaluate whether baseline activity levels (as measured using biosensor) predicts the number of hospitalizations.
At 3 and 6 months after completion of 15 day study
Mortality
Time Frame: At 3 and 6 months after completion of 15 day study
Determine whether baseline activity levels as measured using biosensor predict occurrence of death within the specified time frame
At 3 and 6 months after completion of 15 day study

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Arvind Shinde, MD, Cedars-Sinal Medical Center

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)

January 24, 2016

Primary Completion (Actual)

August 24, 2017

Study Completion (Actual)

August 24, 2017

Study Registration Dates

First Submitted

January 14, 2016

First Submitted That Met QC Criteria

January 15, 2016

First Posted (Estimate)

January 20, 2016

Study Record Updates

Last Update Posted (Actual)

September 25, 2017

Last Update Submitted That Met QC Criteria

September 20, 2017

Last Verified

September 1, 2017

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

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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