PRO and Wearable Data Insights From Individuals With R/R Multiple Myeloma

July 13, 2023 updated by: Pack Health

Evaluating Patient-Reported Outcomes and Wearable Data Among Individuals With Relapsed/Refractory Multiple Myeloma

This study will evaluate the feasibility of a digital health coaching program for adults with relapsed or refractory multiple myeloma (R/R MM). One hundred adults with R/R MM will be enrolled at The University of Washington. Individuals who agree to take part in the study and sign an informed consent will be enrolled in a 3-month digital health coaching program. The program will provide weekly phone calls plus the delivery of learning materials to text or email. Questionnaires and data from a wrist-worn activity tracker will be collected. Outcomes include treatment and symptom experience, quality of life, financial burden, and how confident people feel to manage their health. Information about your condition and treatment will be collected, along with how often you use services like the emergency room, for care. This data will provide a better understanding of how a person experiences their R/R MM.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

Multiple myeloma (MM) is a chronic malignancy with no current cure. Previously dependent on myeloablative chemotherapy and stem cell transplantation to induce prolonged remission, recent advances in targeted therapies are enhancing overall survival and extending the duration between treatments. Monoclonal antibodies, including CD38-directed monoclonal antibodies, combination immunotherapies, and T-cell therapies are among the many promising agents for treating relapsed or refractory (R/R) MM. This improvement in treatment outcomes is accompanied by significant risk for toxicities such a neutropenia and subsequent infections which themselves can be life-threatening. Several studies indicate a high symptom burden and poor health-related quality of life for individuals with multiple myeloma, with most of what is known from clinical trials of highly selective populations or qualitative studies conducted outside of the US among mostly white patients. These factors, coupled with the rapidly changing multiple myeloma treatment landscape, limits the generalizability to wider population as well as an understanding of MM's impact across the disease course. A more complete investigation of the symptom burden, health self-efficacy, and financial, physiologic, and psychosocial well-being among patients with multiple myeloma is urgently needed to provide a comprehensive view of the ways in which multiple myeloma and its treatments affects individuals' lives.

The purpose of this study is to explore the use of symptom monitoring and digital life coaching (DLC) to inform a more complete understanding of the impact of multiple myeloma on symptom burden, health self-efficacy, and financial, physiologic, and psychosocial well-being among a diverse U.S.-based, contemporary sample. The benefits of routine symptom monitoring have been demonstrated in recent studies, where overall survival increased among cancer patients who routinely monitored their symptoms. As the science related to symptom monitoring continues to evolve, exploring interventions to support both the assessment of and interventions related to disease and treatment-related sequelae it is important to identify how symptoms can best be monitored and managed. Studies to date have explored how symptom monitoring can be conducted for patients in the ambulatory setting, where patients do not receive around the clock assessment and management as they would in the hospital setting. In this context, digital or eHealth technologies are increasingly emerging as ways to promote health behaviors, and to monitor individuals with chronic health states, including cancer. An integrative review of 28 articles specifically evaluating eHealth interventions for patients with cancer identified 16 unique eHealth interventions, largely centered around educational support and decision aids. Telehealth counseling and navigation was found to be effective in supporting psychosocial needs in a small study (n=20) of underserved (defined by the authors as those who were primarily unemployed and uninsured) breast cancer patients. In a study of 1371 cancer patients, 71% reported using a mobile phone daily and 93% reported having internet access from home, of which 68% reported daily internet use, suggesting that internet-based technologies may be purposeful in the sharing of information with and coordination of care for cancer patients. Despite literature indicating its potential efficacy, few interventional studies have been published that evaluate digital health coaching and its relationship with self-efficacy and symptom management, specifically in R/R MM patients. As such, there is a gap in the literature on how digital health coaching might be used to support patients during cancer treatment and into survivorship.

Pack Health, LLC is an independent, patient engagement company that was established in 2014 with the mission of helping patients access the right care for their condition and develop the self-management skills to achieve better health and overall well-being. Pack Health offers a symptom management program involving both interpersonal interactions as well as e-modules for patients diagnosed with cancer to better manage pain, fatigue, depression, anxiety and navigate their care more effectively through digital health coaching and tools.

A recent pilot study at UCSF conducted in collaboration with Pack Health examined the impact of digital life coaching (DLC) on symptom outcomes for individuals with MM undergoing upfront stem cell transplantation. Outcomes suggest the efficacy of a coaching program for engagement up to day +100 post-transplant, with 73% (n=11) DLC engagement and 94% PRO completion. A randomized study of DLC versus usual care in individuals with MM undergoing upfront stem cell transplantation is underway. However, patients with R/R MM (where the disease has come back after prior lines of therapy such as transplantation) may have unique needs. An opportunity exists to explore how a digital health coaching platform might be used for symptom monitoring and coaching during treatment for R/R MM for whom the chronic nature of therapy may influence both needs and outcomes in relation to a DLC intervention.

This is a prospective study of patients with R/R MM to evaluate the feasibility and preliminary outcomes of DLC and its potential to augment existing standards of care for patient support. Patients enrolled in the program will be assigned to a health advisor who will act as an educator and accountability partner, supporting patients as they experience treatment for R/R MM. Throughout the engagement, patient reported outcomes (PROs) will be collected at multiple time points to assess the patient status and will be used to explore relationships between medical management, health related quality of life (HRQoL), and engagement in the program. Patients will be enrolled and will complete all assessments at baseline, 30, 60 and 90 days after consent. Findings from this study will establish feasibility of a DLC intervention for individuals with R/R MM and provide greater insight into their symptom burden, health self-efficacy, and financial, physiologic, and psychosocial well-being through the integration of patient reported, wearable and clinical data.

Study Type

Interventional

Enrollment (Estimated)

100

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • United States
    • Washington
      • Seattle, Washington, United States, 98195
        • Recruiting
        • University of Washington
        • Principal Investigator:
          • Rahul Banerjee, MD
        • Contact:

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Age 18 or older
  2. Confirmed diagnosis of MM as determined by participants' primary physicians at the study site. Patients with concurrent AL amyloidosis will be eligible.
  3. Initiation of at least the second line of MM-directed therapy for multiple myeloma at time of study enrollment. Participants must have been exposed to at least one proteasome inhibitor (PI) and/or one immunomodulatory drug (IMiD).

Exclusion Criteria:

  1. Individuals who are terminally ill, defined as individuals identified by their physician as likely having 6 months or less to live, or those individuals transitioned to comfort measures only (meaning only supportive care measures without curative focused treatment)
  2. Individuals who have previously participated in Pack Health digital health coaching
  3. Physician-assessed lack of sufficient English proficiency
  4. Lack of ownership of a personal smartphone or device allowing for access to text, email or mobile application
  5. Any serious and/or unstable pre-existing medical, psychiatric, or other condition that could interfere with participant's safety, provision of informed consent, or compliance with study procedures
  6. Concurrent enrollment on a therapeutic study in R/R MM that precludes simultaneous enrollment onto our non-therapeutic study

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

  • Primary Purpose: Supportive Care
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Single Arm Cohort Receiving Digital Health Coaching
All study participants will be enrolled in a 3-month digital health coaching program. They will also receive a Fitbit device to be worn daily for the capture of physical activity data.
Device: Fitbit
A wrist-worn activity tracker allowing for the capture of physical activity, including but not limited to step-count and minutes of activity, to be captured daily.
Other Names:
  • Charge 5
Behavioral: Digital Health Coaching Program
Digital health intervention consisting of weekly calls from a Health Advisor to a participant, accompanied by delivery of evidence-based content across health and wellness domains (e.g. nutrition, exercise, physical, emotional and financial health) up to 4 times weekly via text, email or mobile application.
Other Names:
  • Pack Health Digital Health Coaching

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Feasibility of the Digital Health Coaching Intervention
Time Frame: At 3 months following the start of the coaching intervention
A retention rate greater than or equal to 70%. Retention is defined as individuals who agree to participate in the digital health coaching program and complete the 3 months of engagement post-enrollment. Engagement is defined as the completion of 1 nudge (call, text, or email) per module out of 5 nudge opportunities
At 3 months following the start of the coaching intervention

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Cancer Behavior Inventory-Brief Form (CBI-B)
Time Frame: Change in baseline perception of treatment experience at 3 months
This 12-item instrument measures self-efficacy in coping with cancer across 7 domains. These include: Seeking and Understanding Medical Information, Emotion Regulation, Coping with Treatment Related Side Effects, Accepting Cancer/ Maintaining a Positive Attitude, Seeking Social Support, and Using Spiritual Coping. The instrument utilizes a 9-point response scale ranging from 1 "Not at all confident" to 9 "Confident".
Change in baseline perception of treatment experience at 3 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ-C30)
Time Frame: Change in baseline perception of treatment experience at 3 months
A 30-item measure of quality of life across 5 domains, including physical, emotional, social, role and cognitive), 8 symptoms, and items assessing global health and financial toxicity. Recall over the past week is scored primarily on a 4-point scale ranging from "not at all" to "very much". The instrument may be administered either on paper or electronically.
Change in baseline perception of treatment experience at 3 months
Change in Quality of Life Questionnaire Multiple Myeloma (QLQ-MY20)
Time Frame: Change in baseline perception of treatment experience at 3 months
A 20-item measure of quality of life among individuals with multiple myeloma. It assesses a series of symptoms on a 4-point Likert scale ranging from 1 (Not at All) to 4 (Very Much).
Change in baseline perception of treatment experience at 3 months
Change in Center for Adherence Support Evaluation (CASE) Medication Adherence Index
Time Frame: Change in baseline perception of treatment experience at 3 months
The Center for Adherence Support Evaluation (CASE) is a three-item questionnaire used to measure antiretroviral therapy adherence. This questionnaire was developed through the Special Projects of National Significance (SPNS) initiative called Assessing Existing Efforts to Increase Adherence to Medication. Patients take less than 5 minutes to answer the three unique questions, asking about their difficulty taking medications on time, average days per week with one dose missed, and the last time they missed a dose.
Change in baseline perception of treatment experience at 3 months
Change in Comprehensive Score for Financial Toxicity (COST) Instrument
Time Frame: Change in baseline perception of treatment experience at 3 months
The Comprehensive Score for Financial Toxicity (COST) is an 11-item instrument used to measure the financial toxicity of cancer treatment, which has been demonstrated to be highly correlated with HRQoL (de Souza et al., 2017). This instrument was validated among individuals with advanced cancer and demonstrated high internal consistency (Cronbach's α >.90) and highly correlated to HRQol (p=.05). The instrument consists of 11 items, utilizing a five-point ordinal scale ranging from (0- Not at all) to (4- Very much).
Change in baseline perception of treatment experience at 3 months
Change in Patient Health Questionnaire (PHQ) 4
Time Frame: Change in baseline perception of treatment experience at 3 months
The Patient Health Questionnaire-4 (PHQ-4) is a 4-item inventory rated on a 4-point Likert-type scale. Its items are drawn from the first two items of the 'Generalized Anxiety Disorder-7 scale' (GAD-7) and the 'Patient Health Questionnaire-8' (PHQ-8). Its purpose is to allow for very brief and accurate measurement of depression and anxiety.
Change in baseline perception of treatment experience at 3 months
Change in Patient Reported Outcomes (PRO)-Common Terminology for Clinically Adverse Events (CTCAE) Blurry Vision Severity and Interference items
Time Frame: Change in baseline perception of treatment experience at 3 months
The PRO-CTCAE is a validated bank of 124 items representing patient experience of frequency, severity, interference, amount, and presence/absence of 78 symptomatic toxicities from the CTCAE. Responses are scored from 0 (absent) to 4 (severe/very much). We will administer 2 PRO-CTCAE instruments for: severity and interference of blurred vision.
Change in baseline perception of treatment experience at 3 months
Physical Activity
Time Frame: From date of enrollment up to 3 months
Minutes of physical activity will be collected via Fitbits provided to study participants
From date of enrollment up to 3 months
Physical Activity
Time Frame: From date of enrollment up to 3 months
Daily step count will be collected via Fitbits provided to study participants
From date of enrollment up to 3 months
Digital Engagement
Time Frame: From date of enrollment up to 3 months
Duration of engagement with the digital health coaching platform
From date of enrollment up to 3 months
Digital Engagement
Time Frame: From date of enrollment up to 3 months
Frequency of engagement with the digital health coaching platform
From date of enrollment up to 3 months
Digital Engagement
Time Frame: From date of enrollment up to 3 months
Types (e.g. text, email, calls) of engagement with the digital health coaching platform
From date of enrollment up to 3 months

Collaborators and Investigators

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

Sponsor

Pack Health

Collaborators

GlaxoSmithKline
University of Washington

Investigators

  • Principal Investigator: Rahul Banerjee, MD, University of Washington

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Helpful Links

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 (Estimated)

July 20, 2023

Primary Completion (Estimated)

May 31, 2024

Study Completion (Estimated)

August 31, 2024

Study Registration Dates

First Submitted

June 28, 2023

First Submitted That Met QC Criteria

July 13, 2023

First Posted (Actual)

July 21, 2023

Study Record Updates

Last Update Posted (Actual)

July 21, 2023

Last Update Submitted That Met QC Criteria

July 13, 2023

Last Verified

July 1, 2023

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • STUDY00016359

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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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