To assess the potential for successfully using technology-assisted in-home oncology care to provide improved care coordination and management, and appropriate referral to treatment for patients receiving bone marrow transplant (BMT) or chimeric antigen receptor (CAR) T-cell therapy (CAR-T). The technology-assisted in-home oncology care program includes remote patient monitoring (RPM), telemedicine, and home-based health care services.
The objective of this study is to assess the potential for successfully using technology-assisted in-home oncology care to provide improved care coordination and management, and appropriate referral to treatment for patients receiving bone marrow transplant (BMT) or chimeric antigen receptor (CAR) T-cell therapy (CAR-T). The technology-assisted in-home oncology care program includes remote patient monitoring (RPM), telemedicine, and home-based health care services. The study focuses on evaluating the technical feasibility, operational feasibility, and perceived patient, caregiver and healthcare provider experience of a combined package of technology-assisted in-home oncology care services to monitor for febrile neutropenia, infection, cyotokine release syndrome, neurotoxicity or other symptomatic episodes needing management up to 90 days post allogeneic BMT, up to 30 days post autologous BMT, and up to 30 days post CAR-T. It includes the following specific aims and hypotheses:
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
11
This study uses the BioIntelliSense BioButton Rechargeable for RPM, in combination with the BioSync mobile app on participants' mobile phones for data transmission, augmented by use of the BioHub as a backup transmission device. RPM monitoring of device data is accomplished through use of the AlertWatch software system.
The Memora Health platform is designed to automate complex care workflows, making them simple for patients and clinicians to navigate. It utilizes a multi-modal communications system that primarily relies on two-way text messaging and artificial intelligence.
University of Colorado Hospital
Aurora, Colorado, United States
Number of patients reporting symptoms
Determine the number of patients reporting symptoms via EPRO
Time frame: 90 Days
Number of alerts generated through RPM systems
Time frame: 30 days
Number of potential febrile events detected via RPM
Time frame: 90 Days
Number of potential infections detected via RPM
Time frame: 90 Days
Number of potential neurotoxicity events detected via RPM
Time frame: 90 Days
Number of potential cytokine release syndrome (CRS) events detected via RPM
Time frame: 90 Days
Number of febrile neutropenia events confirmed by clinical evaluation
Time frame: 90 Days
Number of infections confirmed by clinical evaluation
Time frame: 90 Days
Number of neurotoxicity events confirmed by clinical evaluation
Time frame: 90 Days
Number of CRS events confirmed by clinical evaluation
Time frame: 30 days
Number of tech support contacts received from patients/caregivers
Time frame: 90 Days
Minutes RPM devices spent off-body
Time frame: 90 Days
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Total number of patient interactions with RC
Total patient interactions with RC, by type, including EPRO text message conversations, video visits, and phone calls
Time frame: 90 Days
EPRO patient response rates
The percentage of outbound text messages requesting a response that are responded to by persons activated on the program
Time frame: 90 Days
Patient retention rate
The percentage of patients that remain actively engaged with the program by exchanging at least one text message or having at least one telehealth encounter with the VCC per week
Time frame: 90 Days
Number of calls escalated to CU/UCHealth for clinical evaluation and follow-up with study participants
Time frame: 90 Days
Number of hospital admissions during study period
Time frame: 90 Days
Length of stay for hospital admissions during study period
Time frame: up to 90 days
Total days in hospital during study period
Time frame: 90 Days
Number of emergency room visits during study period
Time frame: 90 Days
Number of ICU admissions during study period
Time frame: 90 Days