Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This study receives physiological and lifestyle-related data from mobile phones to create an institutional database.
This study will have two distinct stages. Stage 1 will examine and refine the utility and feasibility of the Apple Health-Epic platform in a small, convenience-driven patient cohort to ensure platform robustness and patient feasibility prior to initiating larger recruitment efforts in Stage 2. The objectives of Stage 2 will be to conduct enterprise-wide enrollment to build a large registry database permitting investigation of future specific questions that will be addressed in subsequent retrospective research protocols linked to this registry protocol.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Observational | Participants have health data collected from their mobile phone for up to 5 years throughout the study. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Non-Interventional Study | Other | Non-Interventional Study |
|
| Measure | Description | Time Frame |
|---|---|---|
| Feasibility of data collection | The proportion of participants for whom a successful data connection is established between their Apple Health data and the study registry will be quantified". Then for each variable captured by Apple Health, we will quantify the following feasibility metrics for data collection, evaluated separately for the retrospective (up to 8 years) and prospective (up to 5 years) data periods: For each subject, the total amount of retrospective (and prospective) HealthKit data available per patient in days and months will be calculated. For each subject, the number of days per week that a variable is available will be estimated and summarized by the average and standard deviation across weeks (or months). For both 1-2, the metrics will be calculated when pooling all available data, and separately for windows of 6 months. We will examine histograms and boxplots of the distributions across the cohort. | Up to 8.5 years |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Patients and employees at City of Hope MedicalCenter that own an apple mobile device.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Lee Jones | Contact | 626-761-2214 | leejones@coh.org |
| Name | Affiliation | Role |
|---|---|---|
| Lee Jones | City of Hope Medical Center | Principal Investigator |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D019337 | Hematologic Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided