Significance: Children requiring blood and marrow transplants for malignant and nonmalignant diseases are medically fragile and highly vulnerable to significant distressful symptoms such as profound fatigue, pain, nausea, vomiting, and sleep disturbances. Patient and parent symptom management is integral to successful elimination, prevention, or treatment of symptoms. Use of meaningful real-time data would facilitate symptom management for patients and parents and facilitate better understanding of symptom characteristics and symptom clusters, the development of strategies to improve health outcomes, and the delivery of personalized care interventions when and where they are most needed. Emerging mobile health (mHealth) technologies may enable symptom management by first capturing phenotypical characteristics and biomarker data, and then providing real-time feedback directly to caregivers, patients, and providers. Additionally, these technologies may accelerate assessment and monitoring of symptoms resulting in early intervention, sustained management, and/or prevention and thus improved outcomes. However, at present, few long-term studies have been conducted to assess the integration of mobile technologies into symptom management for pediatric blood and marrow transplant (PBMT) patients. We have limited knowledge of how to support patients and caregivers use of data from mobile technologies for real-time symptom management. Moreover, we do not know exactly which strategies will be best to overcome symptom management challenges. Finally, we have limited knowledge of phenotypic characterization and biomarkers related to symptoms and symptom clusters. Purpose: This exploratory mixed methods study will examine the feasibility of using mHealth technologies to facilitate symptom management for PBMT patients and caregivers. It will also explore the feasibility of using real-time data to identify phenotypical expressions and to discover potential biomarkers in order to create interventions to better manage, eliminate, or prevent PBMT symptoms and thereby promote better health outcomes. Methods: Patients/caregivers will be asked to monitor and track relevant clinical data over 3 months using a wearable tracking device and a mobile health application (app). Data generated from the devices will be visualized as trajectories that will help us to understand symptom expressions and phenotypical characteristics. Patients and caregivers will be interviewed at baseline and months one and three of the study to discuss their challenges and successes using mobile health to monitor and manage symptoms. This study will focus on a high-risk population that may benefit substantially from the use of mobile technologies. The minimally intensive, potentially cost-effective technology used in this study will decrease the patient/caregiver burden for tracking and monitoring data.

Public Health Relevance

Mobile health technologies have the potential to help manage the distressing symptoms experienced by children who have received a bone marrow transplant. This proposed study seeks to explore ways to use data from these devices to improve symptom management for these children and their caregivers. The information will allow researchers to characterize symptoms, identify biomarkers, and create strategies to improve these children's symptom experiences.

Agency
National Institute of Health (NIH)
Institute
National Institute of Nursing Research (NINR)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
1F31NR018100-01
Application #
9609100
Study Section
Special Emphasis Panel (ZNR1)
Program Officer
Banks, David
Project Start
2018-09-01
Project End
2021-08-31
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Duke University
Department
Type
Schools of Nursing
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705