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A Protocol to Assess Feasibility, Acceptability, and Usability of Mobile Technology for Symptom Management in
Jacqueline Vaughn1, Erika Summers-Goeckerman, Ryan J Shaw
1Jacqueline Vaughn, BSN, RN, CHSE, is a PhD candidate, Duke University School of Nursing, Durham, North Carolina. Ryan J. Shaw, PhD, RN, is Associate Professor, Duke University School of Nursing, Durham, North Carolina. Erika Summers-Goeckerman, MSN, RN, CPNP-AC, is Pediatric Blood and Marrow Transplant Nurse Practitioner, Hematology-Oncology Division, Duke Health, Durham, North Carolina. Nirmish Shah, MD, is Assistant Professor of Medicine, Hematology-Oncology Division, Duke Health, Durham, North Carolina.
Insights
This study explores using mobile health (mHealth) technology to monitor symptoms in pediatric blood and marrow transplant (PBMT) patients. Results will inform personalized symptom management strategies for this high-risk population.
Area of Science:
- Pediatric Hematology/Oncology
- Digital Health
- Patient-Reported Outcomes
Background:
- Pediatric blood and marrow transplant (PBMT) patients face significant symptom distress.
- Mobile health (mHealth) technologies offer potential for enhanced symptom management through patient-generated data.
- Personalized health strategies can be fostered by integrating mHealth data.
Purpose of the Study:
- To present a study protocol for exploring the feasibility, acceptability, and usability of mHealth integration for PBMT patients.
- To investigate the collection and monitoring of symptom data using mHealth devices in PBMT patients.
- To lay the groundwork for personalized symptom management strategies in pediatric transplant care.
Main Methods:
- An exploratory mixed-methods design was used with 20 PBMT patients.
- Real-time symptom data were collected via a custom mHealth app and a wearable device.
- Patient-Reported Outcomes Measurement Information System (PROMIS) surveys and interviews were conducted monthly.
Main Results:
- Feasibility and usability data for daily symptom monitoring via mobile devices were collected.
- PROMIS surveys provided insights into fatigue, pain, and sleep disturbances.
- Patient interviews offered qualitative data on experiences with mHealth devices.
Conclusions:
- This study is among the first to assess the feasibility, acceptability, and usability of multi-device mHealth integration for PBMT symptom data.
- Results will advance understanding of symptom presentation and clustering in pediatric transplant patients.
- Findings aim to inform the development of effective symptom management strategies for high-risk pediatric populations.
Background:
Pediatric blood and marrow transplant (PBMT) patients experience significant symptom distress, and the use of mobile health (mHealth) technologies may enhance symptom management by providing patient-generated health data to foster personalized health strategies.
Objectives:
The aim of this study was to present a study protocol to explore feasibility, acceptability, and usability of integrating mHealth technologies to collect and monitor symptom data for PBMT patients.
Methods:
An exploratory mixed-methods design is employed for 20 PBMT patients to monitor symptoms using real-time data from two mHealth devices: (a) a self-developed mHealth application and (b) a wearable tracking device. Patient-Reported Outcomes Measurement Information System surveys for fatigue, pain, and sleep disturbance are obtained monthly. Interviews are conducted to obtain further feasibility and usability data.
Results:
The study began in October 2017; data collection should be completed in 2018. Feasibility and usability results to monitor and record symptom-related data daily via mobile devices will be reported. Patient-Reported Outcomes Measurement Information System surveys and interviews will further explore patients' symptoms and experiences with the mobile devices.
Discussion:
This study will be among the first to explore the feasibility, acceptability, and usability of integrating multiple mHealth technologies to obtain patient-generated symptom data for the PBMT population. Results will enhance our understanding of how these data present, interact, and cluster together throughout the posttransplant period for these children and lead to symptom management strategies. Results will focus on a high-risk population that potentially stands to benefit from the use of mobile technologies.
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