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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Fitbit Charge HR® | Device | A wrist worn biosensor, the Fitbit Charge HR® has sensor capability, good battery life, water resistant, Bluetooth capabilities, and provides accessible data. |
| 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) | 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 | 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) | 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 | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Summary score of emotional distress as measured using NIH PROMIS® questionnaire | 15 days | |
| Summary score of pain interference as measured using NIH PROMIS® questionnaire | 15 days | |
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Inclusion Criteria:
Exclusion Criteria:
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Advanced cancer patients
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| Name | Affiliation | Role |
|---|---|---|
| Arvind Shinde, MD | Cedars-Sinal Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cedars-Sinai Medical Center | Los Angeles | California | 90048 | United States |
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| ID | Term |
|---|---|
| D009369 | Neoplasms |
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| ID | Term |
|---|---|
| D015374 | Biosensing Techniques |
| D000072936 | Fitness Trackers |
| ID | Term |
|---|---|
| D015336 | Molecular Probe Techniques |
| D008919 | Investigative Techniques |
| D019719 | Diagnostic Equipment |
| D004864 | Equipment and Supplies |
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|
| Summary score of fatigue as measured using NIH PROMIS® questionnaire |
| 15 days |
| Summary score of sleep interference as measured using NIH PROMIS® questionnaire | 15 days |
| Presence of frailty phenotype | 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) | 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 | 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) | 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 | 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 | 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 |
| D000076251 | Wearable Electronic Devices |
| D055615 | Electrical Equipment and Supplies |