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Symptom Monitoring in Children With Life-Threatening Illness: A Feasibility Study Using mHealth
Jacqueline Vaughn1, Nirmish Shah, Sharron L Docherty
1University of North Carolina School of Nursing, Chapel Hill (Dr Vaughn); Department of Hematology, Duke University School of Medicine, Durham, North Carolina (Dr Shah); and Duke University School of Nursing, Durham, North Carolina (Drs Docherty, Yang, and Shaw).
Insights
Mobile health devices show feasibility for monitoring symptoms in children with life-threatening illnesses. This technology can help visualize symptom patterns for improved management.
Area of Science:
- Pediatric Oncology
- Digital Health
- Symptom Management
Background:
- Children with life-threatening illnesses (C-LTI) often face significant symptom distress.
- Effective symptom management is crucial for improving the quality of life for C-LTI.
- Mobile technology presents a potential avenue for enhanced symptom data collection and management.
Purpose of the Study:
- To explore the feasibility of using mobile health devices for monitoring and visualizing symptoms in C-LTI.
- To assess patient engagement with mobile health technology for symptom tracking.
Main Methods:
- A mixed-methods study was employed.
- Two mobile health devices, including an Apple Watch, were utilized.
- Participants engaged with the devices and a study app to record symptom data.
Main Results:
- Feasibility was demonstrated for mobile technology in monitoring C-LTI symptoms.
- Participant engagement rates were 56% for the Apple Watch and 63% for study app recordings.
- The study successfully visualized symptom occurrences, patterns, and trajectories.
Conclusions:
- Mobile health technology is a feasible tool for symptom monitoring in C-LTI.
- Visualization of symptom data can provide valuable insights for clinical management.
- Further exploration of mobile health applications can enhance care for C-LTI.
Abstract:
Children with life-threatening illness (C-LTI) experience considerable symptom distress. Mobile technology may offer opportunities to better obtain symptom data that will lead to better symptom management. A mixed-methods study was conducted to explore the feasibility of monitoring and visualizing symptoms using 2 mobile health devices in C-LTI. Participants engaged with the Apple Watch 56% and recorded in the study app 63% of their study days. Our findings showed feasibility of using mobile technology for monitoring symptoms and further explored opportunities to visualize these data showing symptom occurrences, patterns, and trajectories in C-LTI.
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